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        <title>Ai-Tools on KnightLi Blog</title>
        <link>https://knightli.com/en/tags/ai-tools/</link>
        <description>Recent content in Ai-Tools on KnightLi Blog</description>
        <generator>Hugo -- gohugo.io</generator>
        <language>en</language>
        <lastBuildDate>Fri, 29 May 2026 21:47:24 +0800</lastBuildDate><atom:link href="https://knightli.com/en/tags/ai-tools/index.xml" rel="self" type="application/rss+xml" /><item>
        <title>Which AI Mobile Automation Project Is Stronger? MobiAgent, Mobile-Agent, Mobilerun, and mobile-use Compared</title>
        <link>https://knightli.com/en/2026/05/29/mobile-gui-agent-projects-comparison/</link>
        <pubDate>Fri, 29 May 2026 21:47:24 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/29/mobile-gui-agent-projects-comparison/</guid>
        <description>&lt;p&gt;I recently organized four mobile GUI agent projects in a row: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobiagent-mobile-gui-agent-framework/&#34; &gt;MobiAgent&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobile-agent-gui-agent-family/&#34; &gt;Mobile-Agent&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobilerun-mobile-device-agent-framework/&#34; &gt;Mobilerun&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobile-use-real-mobile-app-agent/&#34; &gt;mobile-use&lt;/a&gt;. They are all about &amp;ldquo;letting AI operate phones or mobile apps&amp;rdquo;, but their positioning is not the same.&lt;/p&gt;
&lt;p&gt;In short: MobiAgent is closer to a customizable research system for phone agents; Mobile-Agent is Tongyi Lab&amp;rsquo;s body of work around GUI agents; Mobilerun is more of a practical local/cloud mobile device control framework; and mobile-use emphasizes real app operation, task decomposition, data extraction, and AndroidWorld evaluation.&lt;/p&gt;
&lt;h2 id=&#34;basic-information-comparison&#34;&gt;Basic Information Comparison
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Site Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Main Positioning&lt;/th&gt;
          &lt;th&gt;Device/Platform&lt;/th&gt;
          &lt;th&gt;License&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;MobiAgent&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobiagent-mobile-gui-agent-framework/&#34; &gt;Site intro&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/IPADS-SAI/MobiAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;IPADS-SAI/MobiAgent&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Customizable phone GUI agent system with models, runner, memory, acceleration, and evaluation&lt;/td&gt;
          &lt;td&gt;Mainly Android/Harmony phones&lt;/td&gt;
          &lt;td&gt;Apache-2.0&lt;/td&gt;
          &lt;td&gt;Researchers and mobile agent experiment teams&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Mobile-Agent&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobile-agent-gui-agent-family/&#34; &gt;Site intro&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/X-PLUG/MobileAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;X-PLUG/MobileAgent&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Tongyi Lab GUI agent family covering mobile, desktop, browser, and tool use&lt;/td&gt;
          &lt;td&gt;Phones, PCs, web pages, cloud phones/cloud desktops&lt;/td&gt;
          &lt;td&gt;MIT&lt;/td&gt;
          &lt;td&gt;People tracking GUI agent technology paths&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Mobilerun&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobilerun-mobile-device-agent-framework/&#34; &gt;Site intro&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/droidrun/mobilerun&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;droidrun/mobilerun&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;LLM-agnostic mobile device agent framework with CLI, Python API, and cloud device workflows&lt;/td&gt;
          &lt;td&gt;Android, iOS, local devices, cloud devices&lt;/td&gt;
          &lt;td&gt;MIT&lt;/td&gt;
          &lt;td&gt;Developers, QA, and automation workflow teams&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;mobile-use&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/29/mobile-use-real-mobile-app-agent/&#34; &gt;Site intro&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/minitap-ai/mobile-use&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;minitap-ai/mobile-use&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Operates real mobile apps through natural language, with task decomposition, structured extraction, and AndroidWorld focus&lt;/td&gt;
          &lt;td&gt;Android devices/emulators, iOS simulators&lt;/td&gt;
          &lt;td&gt;Apache-2.0&lt;/td&gt;
          &lt;td&gt;People building mobile app agents, data extraction, and evaluations&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;mobiagent&#34;&gt;MobiAgent
&lt;/h2&gt;&lt;p&gt;MobiAgent comes from IPADS-SAI and is positioned as a customizable phone agent system. It is not just an execution script. It puts the MobiMind model family, AgentRR action recording and replay, the MobiFlow benchmark, phone runners, data collection, and an Android app into one system.&lt;/p&gt;
&lt;p&gt;Its main strength is the completeness of the research system. MobiAgent cares about accuracy, efficiency, memory, and reusable action sequences in real phone tasks. The user profile memory, experience memory, action memory, and multi-task execution mentioned in the README all show that it is trying to handle long-horizon and repeated tasks.&lt;/p&gt;
&lt;p&gt;Its entry barrier is also relatively high. A full setup requires devices, ADB, model deployment, dependencies, and optional vector database and graph database configuration. It is better suited to research or engineering experiments than to an &amp;ldquo;install and use immediately&amp;rdquo; phone assistant for ordinary users.&lt;/p&gt;
&lt;h2 id=&#34;mobile-agent&#34;&gt;Mobile-Agent
&lt;/h2&gt;&lt;p&gt;Mobile-Agent comes from X-PLUG/Tongyi Lab. The repository has grown from an early phone operation agent into a GUI agent family: Mobile-Agent-v1/v2/v3/v3.5, Mobile-Agent-E, PC-Agent, GUI-Critic-R1, UI-S1, GUI-Owl, ToolCUA, and more all sit on the same technical line.&lt;/p&gt;
&lt;p&gt;Its defining feature is breadth. Mobile-Agent is not only about phones; it also covers desktop, browser, cloud phones, cloud desktops, GUI perception, grounding, error diagnosis, reinforcement learning, and GUI/tool path orchestration. The GUI-Owl model series makes it feel more like a cross-platform GUI agent foundation-model track than a single mobile automation project.&lt;/p&gt;
&lt;p&gt;The weakness also comes from that breadth: the repository is more like a collection of research results, so users first need to decide which subproject, model, and scenario they actually want to run. It is good for tracking technical evolution and reproducing experiments, but it may not be the fastest choice for plugging into a business workflow.&lt;/p&gt;
&lt;h2 id=&#34;mobilerun&#34;&gt;Mobilerun
&lt;/h2&gt;&lt;p&gt;Mobilerun comes from droidrun and is more engineering-oriented: it lets LLM agents control Android and iOS devices through natural language. It provides CLI, TUI, Docker, Python API, portal-based control, vision mode, reasoning mode, structured output, custom tools, app cards, execution traces, and cloud device services.&lt;/p&gt;
&lt;p&gt;Its most prominent quality is model agnosticism and clear deployment shape. Developers can connect OpenAI, Anthropic, Gemini, Ollama, DeepSeek, OpenRouter, or OpenAI-compatible providers; they can also choose a local framework or Mobilerun Cloud. For real teams, this separation between the device control layer and the model layer matters a lot.&lt;/p&gt;
&lt;p&gt;It still has the usual mobile automation barriers. Android requires developer options, USB debugging, and the Portal app; iOS has a separate flow; complex tasks also need to handle permission popups, page changes, retries after failure, and log investigation. It is better for people willing to use mobile agents as engineering components.&lt;/p&gt;
&lt;h2 id=&#34;mobile-use&#34;&gt;mobile-use
&lt;/h2&gt;&lt;p&gt;mobile-use comes from minitap-ai and aims to let AI agents use real Android and iOS apps. It supports natural-language control, UI-aware automation, data extraction, and different LLM configurations, and it emphasizes AndroidWorld benchmark performance. Its README also says the project is the first agentic framework to reach 100% on the AndroidWorld benchmark.&lt;/p&gt;
&lt;p&gt;Its highlight is task decomposition and structured extraction. For example, finding unread email in Gmail and returning the sender and subject in a specified JSON format is much closer to real production needs than simply &amp;ldquo;opening Settings and checking the battery level&amp;rdquo;. It pushes mobile GUI agents from &amp;ldquo;can operate&amp;rdquo; toward &amp;ldquo;can organize information from apps&amp;rdquo;.&lt;/p&gt;
&lt;p&gt;Its limitations are mainly device support and runtime environment. Android can use physical phones or emulators; iOS currently mainly supports simulators on macOS, while physical iOS devices are not yet supported. Docker quick start is also mainly aimed at Android. When evaluating it, first confirm whether the target device and app scenario are covered by the current execution path.&lt;/p&gt;
&lt;h2 id=&#34;feature-comparison&#34;&gt;Feature Comparison
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Feature Dimension&lt;/th&gt;
          &lt;th&gt;MobiAgent&lt;/th&gt;
          &lt;th&gt;Mobile-Agent&lt;/th&gt;
          &lt;th&gt;Mobilerun&lt;/th&gt;
          &lt;th&gt;mobile-use&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Natural-language tasks&lt;/td&gt;
          &lt;td&gt;Supported&lt;/td&gt;
          &lt;td&gt;Supported&lt;/td&gt;
          &lt;td&gt;Supported&lt;/td&gt;
          &lt;td&gt;Supported&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Real phone operation&lt;/td&gt;
          &lt;td&gt;Strong, Android/Harmony oriented&lt;/td&gt;
          &lt;td&gt;Strong, includes mobile and cloud phones&lt;/td&gt;
          &lt;td&gt;Strong, Android/iOS&lt;/td&gt;
          &lt;td&gt;Strong, Android; iOS leans simulator&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Desktop/browser expansion&lt;/td&gt;
          &lt;td&gt;Not the focus&lt;/td&gt;
          &lt;td&gt;Strong, includes PC-Agent, GUI-Owl, ToolCUA&lt;/td&gt;
          &lt;td&gt;Not the main positioning&lt;/td&gt;
          &lt;td&gt;Not the main positioning&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Model layer&lt;/td&gt;
          &lt;td&gt;Includes MobiMind series&lt;/td&gt;
          &lt;td&gt;GUI-Owl and Mobile-Agent series&lt;/td&gt;
          &lt;td&gt;LLM-agnostic, connects many models&lt;/td&gt;
          &lt;td&gt;Configurable with multiple LLMs&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Executor/runner&lt;/td&gt;
          &lt;td&gt;Strong, includes ADB runner and multi-task runner&lt;/td&gt;
          &lt;td&gt;Provided separately by subprojects&lt;/td&gt;
          &lt;td&gt;Strong, CLI/TUI/Python API/Docker&lt;/td&gt;
          &lt;td&gt;Source code, Docker, and platform entry points&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Memory ability&lt;/td&gt;
          &lt;td&gt;User profile, experience, and action memory&lt;/td&gt;
          &lt;td&gt;v3/v3.5 emphasize memory and reflection&lt;/td&gt;
          &lt;td&gt;More about traces, logs, and engineering debugging&lt;/td&gt;
          &lt;td&gt;More about task decomposition and stateful execution&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Evaluation&lt;/td&gt;
          &lt;td&gt;MobiFlow&lt;/td&gt;
          &lt;td&gt;Multiple paper/benchmark directions&lt;/td&gt;
          &lt;td&gt;Has benchmark result entry points&lt;/td&gt;
          &lt;td&gt;Strong AndroidWorld performance&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Cloud devices&lt;/td&gt;
          &lt;td&gt;Not the main selling point&lt;/td&gt;
          &lt;td&gt;Supports cloud phone/cloud desktop experiences&lt;/td&gt;
          &lt;td&gt;Mobilerun Cloud is a focus&lt;/td&gt;
          &lt;td&gt;Has platform entry points&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Structured output&lt;/td&gt;
          &lt;td&gt;Can be implemented through engineering flows&lt;/td&gt;
          &lt;td&gt;Depends on the subproject&lt;/td&gt;
          &lt;td&gt;Explicitly supported&lt;/td&gt;
          &lt;td&gt;Explicitly supported&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;strengths-and-weaknesses&#34;&gt;Strengths and Weaknesses
&lt;/h2&gt;&lt;p&gt;MobiAgent&amp;rsquo;s strength is system completeness. It is suitable for studying the closed loop of models, memory, acceleration, and evaluation for phone GUI agents. Its weakness is the long deployment chain, heavy engineering configuration, and relatively high onboarding cost for ordinary developers.&lt;/p&gt;
&lt;p&gt;Mobile-Agent&amp;rsquo;s strength is the broadest technical path. It shows GUI agents evolving from phones to desktops, browsers, tool use, and foundation models. Its weakness is the complexity of the project family: if you want to land one specific scenario directly, you need to do more filtering first.&lt;/p&gt;
&lt;p&gt;Mobilerun&amp;rsquo;s strength is a clear engineering interface, model agnosticism, and explicit separation between local framework and cloud service. It is suitable for integrating mobile device automation into products or internal tools. Its weakness is that it still has to deal with mobile device permissions, environments, app state, and cloud cost.&lt;/p&gt;
&lt;p&gt;mobile-use&amp;rsquo;s strength is its focus on real app usage, task decomposition, and structured data extraction. The AndroidWorld angle also makes it easier to evaluate. Its weakness is limited support for physical iOS devices, and a complete setup still requires model, device, and runtime configuration.&lt;/p&gt;
&lt;h2 id=&#34;suggested-use-cases&#34;&gt;Suggested Use Cases
&lt;/h2&gt;&lt;p&gt;If you want to research mobile agents, look first at MobiAgent and Mobile-Agent. The former focuses more on a closed loop for phone-side systems, while the latter is better for observing the cross-platform evolution of GUI agents.&lt;/p&gt;
&lt;p&gt;If you want mobile app automation, QA, data extraction, or internal workflows, look first at Mobilerun and mobile-use. Mobilerun is more like a runtime framework that can plug into engineering systems, while mobile-use is better for validating natural-language app operation and structured extraction.&lt;/p&gt;
&lt;p&gt;If you care about future personal-assistant forms, all four are worth tracking. MobiAgent represents systematic research on phone agents, Mobile-Agent represents the cross-platform GUI agent path, Mobilerun represents device-control infrastructure, and mobile-use represents real-app task decomposition and evaluation-driven development.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;The differences between these four projects show that mobile GUI agents are no longer just about &amp;ldquo;letting a model look at screenshots and tap buttons&amp;rdquo;. The real questions have become: how models understand interfaces, how executors control devices reliably, how tasks are decomposed and evaluated, how cloud devices are managed, how results are returned in structured form, and how risks are constrained.&lt;/p&gt;
&lt;p&gt;In the short term, the most realistic landing scenarios are QA, data extraction, internal workflow automation, and controlled device pools. In the long run, whoever can stabilize device control, model capability, permission boundaries, log tracing, and user confirmation mechanisms will be closer to a truly usable mobile AI assistant.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>mobile-use Highlights: Let AI Operate Real Apps and Extract Data</title>
        <link>https://knightli.com/en/2026/05/29/mobile-use-real-mobile-app-agent/</link>
        <pubDate>Fri, 29 May 2026 21:43:46 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/29/mobile-use-real-mobile-app-agent/</guid>
        <description>&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/minitap-ai/mobile-use&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;mobile-use&lt;/a&gt; is minitap-ai&amp;rsquo;s open source mobile AI agent framework. Its goal is to let agents use real Android and iOS apps like humans. Users describe tasks in natural language; the framework understands the interface, operates the app, and returns results to the caller.&lt;/p&gt;
&lt;p&gt;From the README, mobile-use is not only about &amp;ldquo;being able to tap a phone&amp;rdquo;. It also emphasizes UI-aware automation, data extraction, configurable models, and AndroidWorld benchmark performance. The project also provides cloud platform, documentation, and paper entry points, suggesting that it is both an open source framework and a product/research system around mobile agents.&lt;/p&gt;
&lt;h2 id=&#34;how-it-differs-from-ordinary-phone-automation&#34;&gt;How It Differs From Ordinary Phone Automation
&lt;/h2&gt;&lt;p&gt;Traditional phone automation usually relies on scripts, coordinates, control IDs, or fixed flows. It works for stable pages, but easily breaks when interfaces change, popups appear, search results differ, lists scroll, or operations cross apps.&lt;/p&gt;
&lt;p&gt;mobile-use&amp;rsquo;s route is to let AI agents directly handle natural-language goals and UI state:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Users describe tasks in natural language instead of hard-coding every step.&lt;/li&gt;
&lt;li&gt;The framework reads the mobile interface and uses the model to decide the next action.&lt;/li&gt;
&lt;li&gt;It can extract information from apps and return it in a specified format, such as JSON.&lt;/li&gt;
&lt;li&gt;It supports different LLM configurations, including OpenAI API compatible providers.&lt;/li&gt;
&lt;li&gt;Android can run on physical phones or emulators; iOS currently mainly targets simulators on macOS.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This kind of framework is better suited to &amp;ldquo;semi-structured&amp;rdquo; mobile tasks: the goal is clear, but page state, data content, and path may vary each time.&lt;/p&gt;
&lt;h2 id=&#34;androidworld-results-are-worth-noting&#34;&gt;AndroidWorld Results Are Worth Noting
&lt;/h2&gt;&lt;p&gt;The mobile-use README says the project reached 100% completion on the AndroidWorld benchmark and links to the corresponding paper. Whatever the evaluation details are, this shows that the team places high importance on task decomposition and evaluable execution.&lt;/p&gt;
&lt;p&gt;That matters more than a simple demo. A common GUI-agent problem is that it can look smart in one video but become unstable when the task, device, or initial state changes. Benchmarks do not fully represent real use, but they force the system to face standardized tasks and expose planning, grounding, recovery, and state-understanding ability.&lt;/p&gt;
&lt;p&gt;The paper title linked in the README also points to the direction: improving AndroidWorld accuracy through task decomposition. For mobile agents, complex tasks often cannot be completed by one big prompt; they need to be broken into executable subtasks, with state checked at each step.&lt;/p&gt;
&lt;h2 id=&#34;data-extraction-is-a-practical-entry-point&#34;&gt;Data Extraction Is a Practical Entry Point
&lt;/h2&gt;&lt;p&gt;One realistic use case for mobile-use is extracting data from native apps. Much information is not exposed through APIs and can only be viewed inside app interfaces, such as email lists, order status, social content, admin dashboards, and notifications.&lt;/p&gt;
&lt;p&gt;The README example opens Gmail, finds unread emails, and returns sender and subject as JSON. This is practical because it moves mobile GUI agents from &amp;ldquo;help me operate something&amp;rdquo; to &amp;ldquo;help me structure information from inside an app&amp;rdquo;.&lt;/p&gt;
&lt;p&gt;But this also creates boundaries. Data extraction involves accounts, privacy, platform terms, and access permissions. Real usage should clearly define device ownership, task authorization, data retention, and output scope. A phone interface should not be treated as an unlimited data source.&lt;/p&gt;
&lt;h2 id=&#34;deployment-barriers-and-limits&#34;&gt;Deployment Barriers and Limits
&lt;/h2&gt;&lt;p&gt;mobile-use supports quick start from the platform and running from source. Source-based use requires &lt;code&gt;.env&lt;/code&gt;, LLM configuration, and dependencies. Android can use physical phones or emulators, and Docker quick start is currently mainly aimed at Android. iOS requires macOS, Xcode, and Facebook&amp;rsquo;s iOS Development Bridge, and the README says physical iOS devices are not currently supported.&lt;/p&gt;
&lt;p&gt;These limitations are not surprising. Mobile automation depends more on devices, system permissions, and debugging channels than browser automation does. iOS is especially closed. Stable simulator access is already valuable, but it is still far from &amp;ldquo;automating any real iPhone&amp;rdquo;.&lt;/p&gt;
&lt;p&gt;So when evaluating mobile-use, do not only look at model performance. Also check whether your target device, app type, runtime environment, and compliance boundary match.&lt;/p&gt;
&lt;h2 id=&#34;who-should-follow-it&#34;&gt;Who Should Follow It
&lt;/h2&gt;&lt;p&gt;mobile-use is worth following for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Researchers studying AndroidWorld, mobile GUI agents, and task decomposition.&lt;/li&gt;
&lt;li&gt;Developers who want to connect natural-language mobile operation to internal tools.&lt;/li&gt;
&lt;li&gt;Teams that need structured data extraction from native apps.&lt;/li&gt;
&lt;li&gt;People doing mobile app QA, regression testing, or exploratory testing.&lt;/li&gt;
&lt;li&gt;People comparing different mobile-agent routes such as mobile-use, Mobilerun, and Mobile-Agent.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If the goal is a consumer-facing phone assistant, it is still more of an engineering and research framework. If the goal is to validate mobile agent feasibility, it provides a very concrete open source starting point.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;mobile-use stands out because it puts real app operation, structured data extraction, and benchmark evaluation in one project. It is not just a wrapper for &amp;ldquo;tap the phone with natural language&amp;rdquo;; it tries to decompose mobile tasks into executable, evaluable, reproducible agent flows.&lt;/p&gt;
&lt;p&gt;Mobile will be an important battlefield for GUI agents because many personal and business tasks happen inside apps rather than web pages or APIs. Projects like mobile-use help agents move from chat windows into real application interfaces. It has not erased all device, permission, and risk issues, but it already gives developers a concrete experimentation platform.&lt;/p&gt;
&lt;p&gt;Project link: &lt;a class=&#34;link&#34; href=&#34;https://github.com/minitap-ai/mobile-use&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;minitap-ai/mobile-use&lt;/a&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Want AI to Tap Your Phone Automatically? Mobilerun Supports Android and iOS</title>
        <link>https://knightli.com/en/2026/05/29/mobilerun-mobile-device-agent-framework/</link>
        <pubDate>Fri, 29 May 2026 21:43:45 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/29/mobilerun-mobile-device-agent-framework/</guid>
        <description>&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/droidrun/mobilerun&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Mobilerun&lt;/a&gt; is droidrun&amp;rsquo;s open source mobile device automation framework. Its goal is to let LLM agents control Android and iOS devices through natural language. It provides native mobile tools so agents can inspect UI state, understand screenshots, tap, swipe, type, plan multi-step tasks, and return results through CLI or Python API.&lt;/p&gt;
&lt;p&gt;The project&amp;rsquo;s positioning is clear: it does not bind itself to one model vendor, but works as the execution layer between mobile devices and agents. The README lists model sources including OpenAI, Anthropic, Gemini, Ollama, DeepSeek, OpenRouter, and OpenAI-compatible providers. For developers, this is more practical than a demo project that only supports one model.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-it-solves&#34;&gt;What Problem It Solves
&lt;/h2&gt;&lt;p&gt;The hardest part of mobile automation is that many layers sit between a natural-language task and real device operation. The model needs to know which app is open, what controls are on the page, whether screenshots are needed for visual context, where to tap next, and how to continue after failure.&lt;/p&gt;
&lt;p&gt;Mobilerun organizes these capabilities into a framework:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Run one-off natural-language tasks, inspect devices, replay macros, and debug flows through CLI and TUI.&lt;/li&gt;
&lt;li&gt;Build custom mobile automation workflows through Python API.&lt;/li&gt;
&lt;li&gt;Support Android and iOS. Android uses Portal app and accessibility; iOS follows a separate Portal flow.&lt;/li&gt;
&lt;li&gt;Combine accessibility tree and screenshots so the model can read structured UI and visual context.&lt;/li&gt;
&lt;li&gt;Support modes such as &lt;code&gt;--vision&lt;/code&gt;, &lt;code&gt;--vision-only&lt;/code&gt;, and &lt;code&gt;--reasoning&lt;/code&gt; for tasks of different complexity.&lt;/li&gt;
&lt;li&gt;Support structured output, app cards, custom tools, credentials, and execution trace tracking.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This makes Mobilerun feel more like a &amp;ldquo;mobile agent runtime&amp;rdquo; than a simple screenshot-to-LLM tap simulator.&lt;/p&gt;
&lt;h2 id=&#34;local-framework-and-cloud-service&#34;&gt;Local Framework and Cloud Service
&lt;/h2&gt;&lt;p&gt;Mobilerun separates the local framework and Mobilerun Cloud clearly. The local framework is for developers running agents on their own machines and devices with stronger code-level control. Cloud targets hosted devices, REST API, SDKs, and scaled workflows.&lt;/p&gt;
&lt;p&gt;This layering matters. Many mobile automation scenarios begin as &amp;ldquo;help me run one task on a phone&amp;rdquo;, but once teams adopt them, device management, concurrency, logs, retries, permissions, and API calls all appear. Cloud does not replace the local framework; it pushes device operations and workflow integration toward backend services.&lt;/p&gt;
&lt;p&gt;The README also distinguishes several types of cloud devices: user-owned hardware, hosted cloud phones, and hosted physical phones. The difference is not only cost; it also affects app risk control, identity trust, and task stability. For e-commerce, social, finance, or local-service apps, real devices and virtual devices may behave very differently.&lt;/p&gt;
&lt;h2 id=&#34;why-llm-agnostic-matters&#34;&gt;Why LLM-Agnostic Matters
&lt;/h2&gt;&lt;p&gt;Mobile GUI agents are still changing quickly, so it is hard to say which model will be best long term. Different tasks also need different model strengths: some rely more on visual understanding, some on long-horizon planning, some on tool use, and some on low-cost batch execution.&lt;/p&gt;
&lt;p&gt;Mobilerun&amp;rsquo;s model-agnostic route separates device control, task execution, log tracing, and model choice. Developers can stabilize the device-side flow first, then switch models based on cost, accuracy, and latency.&lt;/p&gt;
&lt;p&gt;This helps real deployment. Enterprises will not rewrite the device control layer just because one model demo looks good. It is more reasonable to keep a unified execution framework and treat the model as a replaceable component.&lt;/p&gt;
&lt;h2 id=&#34;suitable-scenarios&#34;&gt;Suitable Scenarios
&lt;/h2&gt;&lt;p&gt;Mobilerun currently fits several needs:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Mobile app QA and regression testing.&lt;/li&gt;
&lt;li&gt;Extracting data from native apps and returning structured results.&lt;/li&gt;
&lt;li&gt;Automatically executing repetitive phone tasks.&lt;/li&gt;
&lt;li&gt;Packaging natural-language mobile operation flows for non-technical users.&lt;/li&gt;
&lt;li&gt;Running automation tasks across multiple devices.&lt;/li&gt;
&lt;li&gt;Connecting schedules, notifications, or custom triggers to mobile workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is not yet a consumer-grade assistant that takes over your phone immediately after installation. Android requires ADB, developer options, USB debugging, and the Portal app; iOS has its own integration flow. To run reliably, you still need model configuration, device state handling, permission popups, and task failure recovery.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;Mobilerun&amp;rsquo;s value is that it turns mobile device control into a programmable, observable, model-replaceable agent framework. It recognizes that mobile automation is not only a model problem, but a system problem involving models, devices, executors, logs, tools, and cloud infrastructure.&lt;/p&gt;
&lt;p&gt;In the short term, it is suitable for developers building mobile automation prototypes and internal tools. In the long term, frameworks like this may become &amp;ldquo;AI workflow engines on phones&amp;rdquo;. If GUI agents are to enter real business use, projects that combine local execution, cloud devices, structured output, and traceability will become increasingly important.&lt;/p&gt;
&lt;p&gt;Project link: &lt;a class=&#34;link&#34; href=&#34;https://github.com/droidrun/mobilerun&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;droidrun/mobilerun&lt;/a&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Can AI Tap Phones and Use Computers by Itself? A Reading of the Mobile-Agent Project</title>
        <link>https://knightli.com/en/2026/05/29/mobile-agent-gui-agent-family/</link>
        <pubDate>Fri, 29 May 2026 21:42:41 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/29/mobile-agent-gui-agent-family/</guid>
        <description>&lt;p&gt;X-PLUG&amp;rsquo;s open source &lt;a class=&#34;link&#34; href=&#34;https://github.com/X-PLUG/MobileAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Mobile-Agent&lt;/a&gt; is no longer just a phone automation project. Based on the repository&amp;rsquo;s current positioning, it is more like a set of GUI-agent work accumulated by Tongyi Lab: Mobile-Agent-v1/v2/v3/v3.5, Mobile-Agent-E, PC-Agent, GUI-Critic-R1, UI-S1, GUI-Owl, ToolCUA, and more are all presented inside the same project system.&lt;/p&gt;
&lt;p&gt;This line is worth watching. In the past, GUI agent discussions often centered on whether a model could understand a screenshot and tap the right place. Mobile-Agent goes further: it tries to let agents switch among mobile, desktop, browser, and tool use, handling longer and more complex real tasks.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-it-solves&#34;&gt;What Problem It Solves
&lt;/h2&gt;&lt;p&gt;GUI agents do not face standard APIs; they face application interfaces. They need to understand the screen, locate controls, plan steps, perform taps or typing, and correct their path after failure. Mobile scenarios are especially complex because tasks often cross multiple apps, and interface state changes with login, permissions, popups, network conditions, and personalized recommendations.&lt;/p&gt;
&lt;p&gt;The Mobile-Agent series breaks the problem into several directions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Mobile-Agent-v1/v2 explore visual perception and multi-agent collaboration for phone GUIs.&lt;/li&gt;
&lt;li&gt;PC-Agent extends multi-agent operation to PC scenarios.&lt;/li&gt;
&lt;li&gt;Mobile-Agent-v3 and v3.5 advance a multi-platform GUI agent framework.&lt;/li&gt;
&lt;li&gt;GUI-Owl models provide cross-platform GUI perception, grounding, and end-to-end operation.&lt;/li&gt;
&lt;li&gt;GUI-Critic-R1, UI-S1, ToolCUA, and related work add error diagnosis, reinforcement learning, and GUI/tool path orchestration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This makes it less like a single demo and more like a research and engineering path around &amp;ldquo;computer-use agents&amp;rdquo;.&lt;/p&gt;
&lt;h2 id=&#34;the-focus-of-v35&#34;&gt;The Focus of v3.5
&lt;/h2&gt;&lt;p&gt;The repository README shows that Mobile-Agent-v3.5 can be experienced through ModelScope online demo and Alibaba Cloud Bailian online demo, and Bailian also provides a v3.5 API. In March 2026, v3.5 also launched on Alibaba Cloud Wuying cloud phones, offering mobile-use experiences in cloud Android environments.&lt;/p&gt;
&lt;p&gt;This suggests the project is filling in usage modes beyond &amp;ldquo;run experiments locally&amp;rdquo;. For GUI agents, cloud phones and cloud desktops matter: they provide more stable and reproducible runtime environments, reducing differences caused by local devices, OS versions, resolution, and app state.&lt;/p&gt;
&lt;p&gt;If you want to evaluate this kind of agent, a stable environment is easy to underestimate. Without a controllable execution environment, it is hard to know whether a failure came from weak model capability, interface changes, device issues, or an unclear task definition.&lt;/p&gt;
&lt;h2 id=&#34;gui-owl-is-a-deeper-change&#34;&gt;GUI-Owl Is a Deeper Change
&lt;/h2&gt;&lt;p&gt;After Mobile-Agent-v3, GUI-Owl became a key model layer in this line. The README describes GUI-Owl as a multimodal cross-platform GUI VLM with GUI perception, grounding, and end-to-end operation ability. By GUI-Owl-1.5, the model series covers 2B, 4B, 8B, 32B, and 235B, and supports desktop, mobile, and browser automation.&lt;/p&gt;
&lt;p&gt;The significance of this kind of model is that it does not only answer &amp;ldquo;what is on the screen&amp;rdquo;. It must connect the natural-language goal, screenshot content, UI element positions, and next operation. For GUI agents, visual understanding, coordinate grounding, action planning, and state memory are all necessary.&lt;/p&gt;
&lt;p&gt;Of course, the more general the model becomes, the more important engineering boundaries are. Real deployment still needs executors, permission control, task logs, rollback mechanisms, and human confirmation. For high-risk actions involving payment, accounts, files, or message sending, a GUI agent must not only complete tasks automatically; it must also clearly explain what it is about to do.&lt;/p&gt;
&lt;h2 id=&#34;the-direction-implied-by-toolcua&#34;&gt;The Direction Implied by ToolCUA
&lt;/h2&gt;&lt;p&gt;In May 2026, project news mentioned ToolCUA, positioned as an end-to-end Computer Use Agent for optimal GUI and tool path orchestration. This direction is interesting because it recognizes a practical fact: not every task should be completed by clicking through screens.&lt;/p&gt;
&lt;p&gt;Some work suits GUI operation, such as logging into back offices, handling complex forms, or reading app state without APIs. Some work is better done through tools, such as search, calculation, file parsing, or structured interface access. A usable computer-use agent needs to learn when to switch between the two.&lt;/p&gt;
&lt;p&gt;This is why the Mobile-Agent series is more worth watching than early phone automation projects. It no longer only asks whether an agent can tap apps like a human. It asks when an agent should look at the screen, when it should use tools, and when it should stop for confirmation.&lt;/p&gt;
&lt;h2 id=&#34;who-should-follow-it&#34;&gt;Who Should Follow It
&lt;/h2&gt;&lt;p&gt;If you only want an out-of-the-box phone automation assistant, Mobile-Agent is still more of a research and engineering framework. It involves models, runtime environments, evaluation tasks, and concrete executors, so a complete run usually has setup cost.&lt;/p&gt;
&lt;p&gt;But if you care about the following questions, it is worth tracking:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;How mobile GUI agents move from demos to stable execution.&lt;/li&gt;
&lt;li&gt;Whether desktop, browser, and phone automation can be unified under one agent framework.&lt;/li&gt;
&lt;li&gt;How GUI models handle grounding, reflection, memory, and error diagnosis.&lt;/li&gt;
&lt;li&gt;How agents choose between GUI operation and tool use.&lt;/li&gt;
&lt;li&gt;Whether cloud phones and cloud desktops will become important runtime environments for GUI agents.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These questions directly affect personal assistants, enterprise workflow automation, remote desktop operation, app testing, and integration with systems that lack APIs.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;The value of Mobile-Agent is not one version&amp;rsquo;s metrics, but that it pushes GUI agents from &amp;ldquo;phone screenshot and tap&amp;rdquo; into a larger system problem: how models, execution environments, evaluation, tool use, error diagnosis, and cross-platform tasks cooperate.&lt;/p&gt;
&lt;p&gt;In the short term, it is better suited for researchers and developers observing the technical path of GUI agents. In the long term, projects like this may influence the shape of personal AI assistants and enterprise automation tools. The real difficulty is not only making an agent operate interfaces, but making it complete tasks in real applications in a stable, controllable, and traceable way.&lt;/p&gt;
&lt;p&gt;Project link: &lt;a class=&#34;link&#34; href=&#34;https://github.com/X-PLUG/MobileAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;X-PLUG/MobileAgent&lt;/a&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>What Is MobiAgent? An Open Source AI Agent That Can Operate Mobile Apps</title>
        <link>https://knightli.com/en/2026/05/29/mobiagent-mobile-gui-agent-framework/</link>
        <pubDate>Fri, 29 May 2026 21:36:58 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/29/mobiagent-mobile-gui-agent-framework/</guid>
        <description>&lt;p&gt;IPADS-SAI has open sourced &lt;a class=&#34;link&#34; href=&#34;https://github.com/IPADS-SAI/MobiAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;MobiAgent&lt;/a&gt;, a customizable agent framework for mobile GUIs. It is not a single model repository. Instead, it puts models, executors, acceleration mechanisms, benchmarks, and mobile apps into one system, with the goal of letting agents complete cross-app, multi-step tasks in real phone environments.&lt;/p&gt;
&lt;p&gt;From the project structure, MobiAgent mainly consists of three parts: the MobiMind agent model series, the AgentRR recording-and-replay acceleration framework, and the MobiFlow benchmark. The paper abstract also emphasizes that accuracy and efficiency in real mobile tasks remain the main bottlenecks for current mobile agents, and MobiAgent is designed around those two problems.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-it-solves&#34;&gt;What Problem It Solves
&lt;/h2&gt;&lt;p&gt;Mobile GUI agents are more troublesome than web or desktop automation. They need to understand screenshots, identify controls, decide the next action, and then use ADB or a mobile runtime to tap, type, go back, and switch apps. Real tasks are often not one operation inside one app, but a continuous flow across search, shopping, social, payment, maps, and other apps.&lt;/p&gt;
&lt;p&gt;MobiAgent systematizes these pieces:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;MobiMind handles task planning, decision-making, and interface localization.&lt;/li&gt;
&lt;li&gt;The runner connects to the phone, executes predefined tasks through ADB, and records traces.&lt;/li&gt;
&lt;li&gt;AgentRR reuses successful action sequences to reduce reasoning and operation cost for repeated tasks.&lt;/li&gt;
&lt;li&gt;MobiFlow evaluates task completion in real mobile scenarios.&lt;/li&gt;
&lt;li&gt;Data collection, annotation, and processing tools lower the cost of building mobile GUI task data.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This makes it more like a mobile-agent experimentation platform than a model project that can only run demos.&lt;/p&gt;
&lt;h2 id=&#34;recent-updates-worth-watching&#34;&gt;Recent Updates Worth Watching
&lt;/h2&gt;&lt;p&gt;The README shows that MobiAgent was open sourced in August 2025 and then continued to fill in models, runner, memory system, and on-device execution capability. From December 2025, the project supported pure on-device inference on phones and released a unified GUI agent runner that can be configured with MobiAgent, UI-TARS, AutoGLM, Qwen-VL, Gemini, and other models.&lt;/p&gt;
&lt;p&gt;By March 2026, the project had also released the GUI-based mobile &amp;ldquo;claw&amp;rdquo; MobiClaw and the new MobiMind-1.5-4B model. This suggests that it is not just reproducing a paper, but continuing to push mobile execution, model capability, and operation tooling toward a more product-like direction.&lt;/p&gt;
&lt;h2 id=&#34;memory-is-a-key-patch&#34;&gt;Memory Is a Key Patch
&lt;/h2&gt;&lt;p&gt;MobiAgent supports user profile memory, experience memory, and action memory. User profile memory gives planning preference context; experience memory retrieves execution experience from similar tasks; action memory uses AgentRR to cache and reuse successful action sequences.&lt;/p&gt;
&lt;p&gt;This matters because phone tasks are naturally repetitive. Users often search products in the same app, open fixed contacts, or fill information on particular pages. If the agent has to inspect the screen, plan, and tap from scratch every time, the cost is high and errors are likely. Memory can preserve part of the &amp;ldquo;learned flow&amp;rdquo;, making later tasks faster and more stable.&lt;/p&gt;
&lt;p&gt;Memory also creates governance questions. User preferences, task history, app paths, and action traces may contain sensitive information. In real deployments, the system needs to define what enters memory, how long it is stored, how it can be deleted, and whether the model may reuse that context across tasks.&lt;/p&gt;
&lt;h2 id=&#34;who-should-follow-it&#34;&gt;Who Should Follow It
&lt;/h2&gt;&lt;p&gt;If you only want a ready-made phone automation app, MobiAgent is still more of a research and engineering framework. It requires model services, mobile devices, ADB, dependencies, and task files, so a full run has a real setup cost.&lt;/p&gt;
&lt;p&gt;But if you care about mobile GUI agents, on-device agents, multi-model runners, task-trace reuse, or agent evaluation, MobiAgent is worth tracking. It places models, execution, evaluation, and data pipelines together, which helps researchers and developers see the real bottlenecks of mobile agents more completely.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;MobiAgent matters not because it publishes one more GUI agent, but because it pushes phone agents beyond the single ability of &amp;ldquo;look at a screenshot and tap a button&amp;rdquo; into a framework that can be trained, executed, evaluated, and accelerated.&lt;/p&gt;
&lt;p&gt;Mobile is a scenario agents cannot easily avoid. Many personal tasks happen inside apps rather than standardized web pages or APIs. Whoever can reliably understand phone interfaces, execute cross-app tasks, reuse experience, and control privacy risks will be closer to a truly usable personal agent.&lt;/p&gt;
&lt;p&gt;MobiAgent has not solved all of these problems yet, but it provides a fairly complete open source starting point. In the short term, it is suitable for mobile-agent research and experimentation; in the long term, frameworks like this may become an important connection layer among mobile operating systems, personal assistants, and automation tools.&lt;/p&gt;
&lt;p&gt;Project link: &lt;a class=&#34;link&#34; href=&#34;https://github.com/IPADS-SAI/MobiAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;IPADS-SAI/MobiAgent&lt;/a&gt;&lt;br&gt;
Paper link: &lt;a class=&#34;link&#34; href=&#34;https://arxiv.org/abs/2509.00531&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;MobiAgent: A Systematic Framework for Customizable Mobile Agents&lt;/a&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Can an RTX 3060 Run 35B? llama.cpp --n-cpu-moe Keeps Old PCs Useful for Local LLMs</title>
        <link>https://knightli.com/en/2026/05/26/rtx-3060-llama-cpp-n-cpu-moe-local-35b/</link>
        <pubDate>Tue, 26 May 2026 21:27:21 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/26/rtx-3060-llama-cpp-n-cpu-moe-local-35b/</guid>
        <description>&lt;p&gt;I recently saw an interesting local LLM test: the same roughly 3,000 yuan old PC, with no hardware changes, became much more usable for a 35B MoE model after switching to a newer &lt;code&gt;llama.cpp&lt;/code&gt; build and a better parameter set.&lt;/p&gt;
&lt;p&gt;The test machine is not high-end:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Hardware&lt;/th&gt;
          &lt;th&gt;Configuration&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;CPU&lt;/td&gt;
          &lt;td&gt;AMD Ryzen 7 3700X&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPU&lt;/td&gt;
          &lt;td&gt;RTX 3060 12GB&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Memory&lt;/td&gt;
          &lt;td&gt;32GB DDR4&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;System&lt;/td&gt;
          &lt;td&gt;Windows 11&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Model&lt;/td&gt;
          &lt;td&gt;Qwen3.6-35B-A3B GGUF Q4_K_M&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;The conclusion is simple: the same hardware that previously could only barely run heavily quantized models can now reach a much more practical state with a newer &lt;code&gt;llama.cpp&lt;/code&gt;, Q4 quantization, and a 64K context.&lt;/p&gt;
&lt;h2 id=&#34;the-key-is-moe-scheduling-not-a-new-gpu&#34;&gt;The Key Is MoE Scheduling, Not a New GPU
&lt;/h2&gt;&lt;p&gt;The most important parameter is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--n-cpu-moe &lt;span class=&#34;m&#34;&gt;32&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Qwen3.6-35B-A3B is an MoE model, short for Mixture of Experts. Its total parameter count looks large, but each inference step does not activate every expert. Only part of the expert pool is used for each token.&lt;/p&gt;
&lt;p&gt;That leaves room for local inference. Not everything has to fit into the GPU. The &lt;code&gt;--n-cpu-moe&lt;/code&gt; parameter in &lt;code&gt;llama.cpp&lt;/code&gt; lets you adjust how MoE expert layers are split between CPU and GPU, so consumer GPUs with limited VRAM can still run larger models.&lt;/p&gt;
&lt;p&gt;On an RTX 3060 12GB, &lt;code&gt;--n-cpu-moe 32&lt;/code&gt; is a good value to try first. The GPU handles CUDA work it is good at, while the CPU shares part of the expert-layer load. This mixed scheduling can be faster than pushing everything to the GPU or leaning too much on the CPU.&lt;/p&gt;
&lt;h2 id=&#34;how-much-faster-is-it&#34;&gt;How Much Faster Is It?
&lt;/h2&gt;&lt;p&gt;A typical comparison looks like this:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Item&lt;/th&gt;
          &lt;th&gt;Older Setup&lt;/th&gt;
          &lt;th&gt;Newer Setup&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Generation speed&lt;/td&gt;
          &lt;td&gt;Around 15 tok/s&lt;/td&gt;
          &lt;td&gt;Around 33-36 tok/s&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Quantization&lt;/td&gt;
          &lt;td&gt;Q2_K_M&lt;/td&gt;
          &lt;td&gt;Q4_K_M&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Context&lt;/td&gt;
          &lt;td&gt;4K&lt;/td&gt;
          &lt;td&gt;64K&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;VRAM usage&lt;/td&gt;
          &lt;td&gt;Around 5GB&lt;/td&gt;
          &lt;td&gt;Around 7GB&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Experience&lt;/td&gt;
          &lt;td&gt;Runs, but quality is unstable&lt;/td&gt;
          &lt;td&gt;Smoother, with clearly better answers&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;The important part is not just the speedup. &lt;strong&gt;Quantization quality and context length improve at the same time.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Many 12GB VRAM users previously had to use Q2 quantization just to launch 30B+ models. The model could start, but inference quality often suffered. Moving to Q4 means the local model shifts from &amp;ldquo;interesting to try&amp;rdquo; toward &amp;ldquo;useful for real work.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;a-windows-launch-command-template&#34;&gt;A Windows Launch Command Template
&lt;/h2&gt;&lt;p&gt;Here is a Windows batch template. Replace the paths with your own:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bat&#34; data-lang=&#34;bat&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;@&lt;/span&gt;&lt;span class=&#34;k&#34;&gt;echo&lt;/span&gt; off
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;chcp 65001 &lt;span class=&#34;p&#34;&gt;&amp;gt;&lt;/span&gt;nul
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;cd&lt;/span&gt; /d C:\Users\你的用户名\llama-b9297-bin-win-cuda-13.1-x64
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;llama-server.exe &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-m &lt;span class=&#34;s2&#34;&gt;&amp;#34;D:\Qwen3.6-35B-A3B-UD-Q4_K_M.gguf&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-ngl 99 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--n-cpu-moe 32 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--flash-attn on &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--jinja &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-c 65536 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-t 8 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-b 512 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-ub 128 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--cache-type-k q4_0 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--cache-type-v q4_0 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;-np 1 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--cache-ram 0 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--host 127.0.0.1 &lt;span class=&#34;se&#34;&gt;^
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;se&#34;&gt; &lt;/span&gt;--port 8080
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;pause&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Key parameters:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;-ngl 99&lt;/code&gt;: offload as many eligible layers as possible to the GPU;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--n-cpu-moe 32&lt;/code&gt;: controls MoE expert-layer scheduling and is the main speedup knob here;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--flash-attn on&lt;/code&gt;: enables Flash Attention to reduce long-context pressure;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;-c 65536&lt;/code&gt;: sets a 64K context;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--cache-type-k q4_0&lt;/code&gt; / &lt;code&gt;--cache-type-v q4_0&lt;/code&gt;: quantizes the KV cache to reduce long-context VRAM use;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;-np 1&lt;/code&gt;: single concurrency, suitable for a 32GB RAM machine;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--cache-ram 0&lt;/code&gt;: disables prompt cache to keep memory usage under control.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;One caveat: &lt;code&gt;b9297&lt;/code&gt; is just a test point. As of 2026-05-26, the &lt;code&gt;llama.cpp&lt;/code&gt; releases page has already moved to newer versions, so in practice you can try a newer CUDA build first.&lt;/p&gt;
&lt;h2 id=&#34;how-to-tune-different-gpus&#34;&gt;How to Tune Different GPUs
&lt;/h2&gt;&lt;p&gt;For this kind of MoE model, the idea is not &amp;ldquo;give up if VRAM is not enough.&amp;rdquo; It is to find the right CPU/GPU split.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Hardware&lt;/th&gt;
          &lt;th&gt;Suggestion&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;RTX 3060 12GB / 3080 10GB&lt;/td&gt;
          &lt;td&gt;Start with &lt;code&gt;--n-cpu-moe 32&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;RTX 3070 8GB / 4060 8GB&lt;/td&gt;
          &lt;td&gt;Increase &lt;code&gt;--n-cpu-moe&lt;/code&gt;, such as 128 or 256&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;RTX 3050 6GB / GTX 1650 4GB&lt;/td&gt;
          &lt;td&gt;Try more CPU offload, but expect much lower speed&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Apple Silicon Mac&lt;/td&gt;
          &lt;td&gt;Use the Metal backend; unified memory is friendlier to large models&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;Do not treat these values as universal answers. The best &lt;code&gt;--n-cpu-moe&lt;/code&gt; value depends on the model, quantization, GPU, CPU, and memory bandwidth. A safer approach is to test several points:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;0 / 16 / 32 / 64 / 128 / 256
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Compare &lt;code&gt;tok/s&lt;/code&gt;, memory usage, first-token latency, and answer stability before settling on a final configuration.&lt;/p&gt;
&lt;h2 id=&#34;is-32gb-ram-enough&#34;&gt;Is 32GB RAM Enough?
&lt;/h2&gt;&lt;p&gt;The short answer: it can run, but there is not much headroom.&lt;/p&gt;
&lt;p&gt;With this kind of setup, the &lt;code&gt;llama-server&lt;/code&gt; working set can exceed 20GB. The OS also needs memory for the browser, editor, drivers, and background services. For single-user local use, 32GB is worth trying. For a long-running service or multiple concurrent calls, 64GB will feel much better.&lt;/p&gt;
&lt;p&gt;Suggestions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Test with single concurrency first;&lt;/li&gt;
&lt;li&gt;Close unnecessary background programs;&lt;/li&gt;
&lt;li&gt;Do not keep too many browser tabs open;&lt;/li&gt;
&lt;li&gt;Confirm the CUDA backend loads correctly;&lt;/li&gt;
&lt;li&gt;Do not start by pushing context to 128K.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;why-this-matters&#34;&gt;Why This Matters
&lt;/h2&gt;&lt;p&gt;Local LLMs have long been surrounded by VRAM anxiety. Many people assume 35B-class models require 24GB VRAM, preferably an RTX 4090.&lt;/p&gt;
&lt;p&gt;This test points to another direction: improvements in model architecture and inference frameworks can keep older hardware useful. MoE, KV cache quantization, Flash Attention, CUDA kernel optimization, and CPU/GPU mixed offload can together matter more than a simple GPU upgrade.&lt;/p&gt;
&lt;p&gt;Of course, this is not magic. Running a 35B MoE model on 8GB or 12GB GPUs still requires tradeoffs in speed, context length, quantization quality, and memory usage. But for personal knowledge bases, coding assistants, long-document QA, or offline testing, this kind of setup is already worth experimenting with.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;If you have an RTX 3060 12GB, RTX 3080 10GB, or even an 8GB GPU, it is worth taking another look at newer &lt;code&gt;llama.cpp&lt;/code&gt; builds.&lt;/p&gt;
&lt;p&gt;The point is not to copy one parameter blindly. The point is to understand the pattern:&lt;/p&gt;
&lt;blockquote&gt;
&lt;p&gt;An MoE model does not necessarily need every expert loaded into the GPU. A reasonable CPU/GPU split can matter more than the raw amount of VRAM.&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;Old PCs are not limited to tiny models forever. As inference frameworks and quantization methods keep improving, many local models once considered &amp;ldquo;too heavy&amp;rdquo; can become usable again.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/ggml-org/llama.cpp/releases&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;llama.cpp Releases&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>WavFlow: Meta&#39;s Open Project for Audio Generation in Raw Waveform Space</title>
        <link>https://knightli.com/en/2026/05/25/wavflow-raw-waveform-audio-generation/</link>
        <pubDate>Mon, 25 May 2026 08:00:37 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/25/wavflow-raw-waveform-audio-generation/</guid>
        <description>&lt;p&gt;&lt;code&gt;facebookresearch/WavFlow&lt;/code&gt; is a multimodal audio generation project released by Meta AI. The paper title is &lt;code&gt;WavFlow: Audio Generation in Waveform Space&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/facebookresearch/WavFlow&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/facebookresearch/WavFlow&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;It is not focused on speech synthesis or pure music generation. Its goal is to generate synchronized, high-fidelity audio from video and text conditions. More importantly, it does not follow the common latent compression route. It tries to perform end-to-end audio generation directly in raw waveform space.&lt;/p&gt;
&lt;p&gt;At the time of writing, the GitHub page shows about 55 stars and 3 forks. The code is mainly Python, and the project has no published release. The README also makes an important point: because of organizational policy constraints, production-trained checkpoints cannot currently be released. The team is working on a foundation checkpoint trained on fully open-source data. Until then, users need to train their own models.&lt;/p&gt;
&lt;h2 id=&#34;what-wavflow-tries-to-solve&#34;&gt;What WavFlow Tries to Solve
&lt;/h2&gt;&lt;p&gt;Many multimodal audio generation methods first compress audio into a latent space, generate there, and then reconstruct the waveform. This path is efficient, but it can introduce a problem: compression may lose details, affecting audio texture, synchronization, and high-frequency information.&lt;/p&gt;
&lt;p&gt;WavFlow tries to bypass that step and generate audio directly in raw waveform space.&lt;/p&gt;
&lt;p&gt;The README says it uses waveform patchifying and amplitude lifting so that flow matching can work stably on raw audio, with direct &lt;code&gt;x&lt;/code&gt;-prediction. In plainer terms, it does not first compress sound into an intermediate representation. Instead, it cuts the audio waveform itself into patches suitable for model processing and applies amplitude transformation so the model can learn generation at the waveform level.&lt;/p&gt;
&lt;p&gt;That is the most interesting part. If end-to-end waveform generation can work reliably, it may reduce the information bottleneck introduced by encoders and decoders.&lt;/p&gt;
&lt;h2 id=&#34;supported-input-modes&#34;&gt;Supported Input Modes
&lt;/h2&gt;&lt;p&gt;Based on the README and training guide, WavFlow supports three input modes.&lt;/p&gt;
&lt;p&gt;The first is VT2A, or video + text to audio. The model receives video and text descriptions, then generates audio synchronized with the visual scene and semantics, such as forests, frogs, drums, or skateboards.&lt;/p&gt;
&lt;p&gt;The second is T2A, or text to audio. There is only a text description and no video input. Training uses CLIP text features, and during inference the CSV can set &lt;code&gt;video_exist&lt;/code&gt; to &lt;code&gt;0&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;The third is V2A, or video to audio. There is video but no text. During inference, &lt;code&gt;text_exist&lt;/code&gt; can be set to &lt;code&gt;0&lt;/code&gt;, and the model uses a learned empty CLIP-text token.&lt;/p&gt;
&lt;p&gt;This design is practical. Real datasets do not always contain complete video, text, and audio annotations for every sample. WavFlow uses fields such as &lt;code&gt;video_exist&lt;/code&gt; and &lt;code&gt;text_exist&lt;/code&gt; to explicitly represent missing modalities, so both training and inference can handle different combinations.&lt;/p&gt;
&lt;h2 id=&#34;evaluation-and-positioning&#34;&gt;Evaluation and Positioning
&lt;/h2&gt;&lt;p&gt;The README says WavFlow is evaluated on VGGSound for VT2A and AudioCaps for T2A, with performance comparable to existing latent-based methods.&lt;/p&gt;
&lt;p&gt;The meaning is not that it has already beaten all current models. It is that end-to-end raw waveform generation does not necessarily lose to traditional latent frameworks. At least on acoustic richness, fidelity, and synchronization, it can reach the same tier.&lt;/p&gt;
&lt;p&gt;The project page also provides demos such as forest, frog, drum, and skateboard, with more than 24 samples and side-by-side benchmark comparisons. For audio generation models, demos matter a lot, because text metrics cannot fully describe sound texture, spatial feeling, and synchronization.&lt;/p&gt;
&lt;h2 id=&#34;installation&#34;&gt;Installation
&lt;/h2&gt;&lt;p&gt;The official automatic setup is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/facebookresearch/WavFlow.git
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; WavFlow
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bash scripts/setup.sh
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;conda activate wavflow
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;scripts/setup.sh&lt;/code&gt; creates a conda environment named &lt;code&gt;wavflow&lt;/code&gt; and installs the required dependencies.&lt;/p&gt;
&lt;p&gt;For manual setup, follow the README:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;conda create -n wavflow &lt;span class=&#34;nv&#34;&gt;python&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;3.10 -y
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;conda activate wavflow
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install -r requirements.txt
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install -e . --no-deps
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;conda install -n wavflow -c conda-forge &lt;span class=&#34;s2&#34;&gt;&amp;#34;ffmpeg&amp;lt;7&amp;#34;&lt;/span&gt; -y
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The &lt;code&gt;ffmpeg&amp;lt;7&lt;/code&gt; dependency is mainly for torio video decoding. The README also notes that required external weights such as CLIP, Synchformer, and the empty-string CFG embedding are downloaded or computed automatically on first run and cached under &lt;code&gt;~/.cache/wavflow/&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;running-inference&#34;&gt;Running Inference
&lt;/h2&gt;&lt;p&gt;Because the official project has not released production-trained checkpoints yet, the following inference entry point only applies after you already have a trained checkpoint.&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bash scripts/launch/predict.sh &lt;span class=&#34;o&#34;&gt;[&lt;/span&gt;--gpu N&lt;span class=&#34;o&#34;&gt;]&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;[&lt;/span&gt;--config PATH&lt;span class=&#34;o&#34;&gt;]&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The default config file is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;wavflow/configs/infer.yaml
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The input CSV is specified by &lt;code&gt;data.csv_path&lt;/code&gt;, and it supports video, text, or both:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-csv&#34; data-lang=&#34;csv&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s&#34;&gt;video_path&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;caption&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;video_exist&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;text_exist&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s&#34;&gt;/abs/path/sample1.mp4&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;a whistling rocket explodes&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s&#34;&gt;/abs/path/sample2.mp4&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;birds chirping in a forest&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;a whistling rocket explodes&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;0&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s&#34;&gt;/abs/path/sample3.mp4&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;0&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Here, &lt;code&gt;video_exist=0&lt;/code&gt; means no video decoding is used, and the model uses learned empty CLIP/Sync tokens. &lt;code&gt;text_exist=0&lt;/code&gt; means the caption is ignored and the model uses a learned empty CLIP-text token. Captions with commas need to be quoted.&lt;/p&gt;
&lt;p&gt;Common launcher parameters include:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--gpu N
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--config PATH
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;WAVFLOW_ENV
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Important config fields include &lt;code&gt;model.name&lt;/code&gt;, &lt;code&gt;model.ckpt_path&lt;/code&gt;, &lt;code&gt;model.use_ema&lt;/code&gt;, &lt;code&gt;inference.duration_sec&lt;/code&gt;, &lt;code&gt;target_sample_rate&lt;/code&gt;, &lt;code&gt;inference.cfg&lt;/code&gt;, &lt;code&gt;num_steps&lt;/code&gt;, &lt;code&gt;noise_scale&lt;/code&gt;, &lt;code&gt;noise_shift&lt;/code&gt;, &lt;code&gt;prediction_type&lt;/code&gt;, &lt;code&gt;seed&lt;/code&gt;, and the output directory.&lt;/p&gt;
&lt;h2 id=&#34;an-ema-pitfall&#34;&gt;An EMA Pitfall
&lt;/h2&gt;&lt;p&gt;The README specifically warns about &lt;code&gt;model.use_ema&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;A WavFlow checkpoint may contain &lt;code&gt;model_ema1&lt;/code&gt;, which is updated with &lt;code&gt;ema_decay = 0.9999&lt;/code&gt;. If training only runs for a few hundred or a few thousand steps, the EMA tensor may still contain many random initialization values and produce noise during inference.&lt;/p&gt;
&lt;p&gt;So if you are doing a short run, overfitting a tiny sample set, or running a smoke test, consider sampling with:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-yaml&#34; data-lang=&#34;yaml&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;model.use_ema&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;kc&#34;&gt;false&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Alternatively, use an &lt;code&gt;ema_epoch_*.pth&lt;/code&gt; saved after enough training. This detail is useful because otherwise it is easy to assume the model is broken, when in fact the EMA has not stabilized yet.&lt;/p&gt;
&lt;h2 id=&#34;training-flow&#34;&gt;Training Flow
&lt;/h2&gt;&lt;p&gt;The official &lt;code&gt;TRAINING.md&lt;/code&gt; divides training into two steps.&lt;/p&gt;
&lt;p&gt;The first step is feature extraction.&lt;/p&gt;
&lt;p&gt;T2A extracts only CLIP text features. VT2A extracts CLIP frame features, Synchformer features, and CLIP text features. An example CSV looks like:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-csv&#34; data-lang=&#34;csv&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s&#34;&gt;id&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;audio_path&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;video_path&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;caption&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s&#34;&gt;sample1&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;/abs/or/relative/wav/sample1.wav&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;/abs/or/relative/video/sample1.mp4&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;&lt;span class=&#34;s&#34;&gt;a whistling rocket explodes&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Videos must be at least &lt;code&gt;extraction.duration_sec&lt;/code&gt; long, which defaults to 8 seconds. Shorter clips are skipped. Feature extraction can be run with:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bash scripts/launch/extract_t2a.sh
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bash scripts/launch/extract_vt2a.sh
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For more GPUs or a custom config:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;NPROC_PER_NODE&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;4&lt;/span&gt; bash scripts/launch/extract_vt2a.sh
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CONFIG_PATH&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;path/to/your_extract.yaml bash scripts/launch/extract_t2a.sh
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The second step is training.&lt;/p&gt;
&lt;p&gt;For single-node multi-GPU training:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bash scripts/launch/train_single_node.sh
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Multi-node training requires &lt;code&gt;NNODES&lt;/code&gt;, &lt;code&gt;NODE_RANK&lt;/code&gt;, &lt;code&gt;MASTER_ADDR&lt;/code&gt;, &lt;code&gt;MASTER_PORT&lt;/code&gt;, and &lt;code&gt;NPROC_PER_NODE&lt;/code&gt;. Training outputs include &lt;code&gt;checkpoint_latest.pth&lt;/code&gt;, &lt;code&gt;checkpoint_epoch_*.pth&lt;/code&gt;, &lt;code&gt;ema_epoch_*.pth&lt;/code&gt;, generated audio samples, and &lt;code&gt;training.log&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Training resumes automatically: if &lt;code&gt;checkpoint_latest.pth&lt;/code&gt; exists in the experiment directory, training continues from it.&lt;/p&gt;
&lt;h2 id=&#34;who-should-pay-attention&#34;&gt;Who Should Pay Attention
&lt;/h2&gt;&lt;p&gt;WavFlow is more relevant to researchers and engineering teams than to ordinary users who want a finished sound-effect tool.&lt;/p&gt;
&lt;p&gt;It is worth following if you:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Research video-to-audio, text-to-audio, or multimodal audio generation.&lt;/li&gt;
&lt;li&gt;Want to compare raw waveform generation with latent-based audio generation.&lt;/li&gt;
&lt;li&gt;Need to train your own audio generation model and can prepare data plus GPU resources.&lt;/li&gt;
&lt;li&gt;Work on applications that require strong synchronization between video and sound.&lt;/li&gt;
&lt;li&gt;Want to explore whether flow matching is viable on raw audio waveforms.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you just want a web tool where you type a prompt and immediately get a sound effect, WavFlow is not the easiest option today. It does not yet provide a public production checkpoint, and its deployment path is closer to research code.&lt;/p&gt;
&lt;h2 id=&#34;things-to-watch&#34;&gt;Things to Watch
&lt;/h2&gt;&lt;p&gt;First, do not treat it as a downloadable, ready-to-use audio generation model. The official project currently does not release production-trained checkpoints. Before real inference, you need to train your own model or wait for a future open-data checkpoint.&lt;/p&gt;
&lt;p&gt;Second, the license is not a permissive commercial default. The README says most of WavFlow is licensed under CC-BY-NC 4.0, while some vendored components keep their original licenses, including MIT, Apache 2.0, CC BY-NC 4.0, and Stability AI Community License. Read &lt;code&gt;LICENSE&lt;/code&gt; and &lt;code&gt;NOTICE.txt&lt;/code&gt; carefully before commercial use.&lt;/p&gt;
&lt;p&gt;Third, training data is critical. WavFlow&amp;rsquo;s promise depends on aligned audio, video, and text data. If data quality is poor, captions are inaccurate, or audio and video are out of sync, the model will struggle to learn stable sound generation.&lt;/p&gt;
&lt;p&gt;Fourth, raw waveform generation may reduce the latent bottleneck, but it may also increase training and inference cost. Real projects still need to balance audio quality, speed, VRAM, sample rate, and output duration.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The value of WavFlow is that it asks a clear question: does multimodal audio generation have to compress audio into latent space first?&lt;/p&gt;
&lt;p&gt;With waveform patchifying, amplitude lifting, and flow matching, it tries to generate synchronized high-fidelity audio directly in raw waveform space. The evaluation suggests that this route can at least stand in the same range as mature latent-based methods.&lt;/p&gt;
&lt;p&gt;For now, though, it is more of a research and training framework than an out-of-the-box product model. No public production checkpoint, a mostly non-commercial license, and the need for aligned audio-video-text data all make it better suited to research, reproduction, and further training. If you care about the next generation of video-to-audio or text-to-audio models, WavFlow is worth a serious look.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;facebookresearch/WavFlow: &lt;a class=&#34;link&#34; href=&#34;https://github.com/facebookresearch/WavFlow&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/facebookresearch/WavFlow&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;WavFlow Project Page: &lt;a class=&#34;link&#34; href=&#34;https://facebookresearch.github.io/WavFlow/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://facebookresearch.github.io/WavFlow/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;WavFlow arXiv: &lt;a class=&#34;link&#34; href=&#34;https://arxiv.org/abs/2605.18749&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://arxiv.org/abs/2605.18749&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;WavFlow Training Guide: &lt;a class=&#34;link&#34; href=&#34;https://github.com/facebookresearch/WavFlow/blob/main/TRAINING.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/facebookresearch/WavFlow/blob/main/TRAINING.md&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>LongCat-Video-Avatar-1.5: Meituan&#39;s Open Audio-Driven Avatar Video Model</title>
        <link>https://knightli.com/en/2026/05/25/longcat-video-avatar-1-5-audio-driven-avatar-video/</link>
        <pubDate>Mon, 25 May 2026 07:53:43 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/25/longcat-video-avatar-1-5-audio-driven-avatar-video/</guid>
        <description>&lt;p&gt;&lt;code&gt;LongCat-Video-Avatar-1.5&lt;/code&gt; is an audio-driven avatar video generation model released by Meituan&amp;rsquo;s LongCat team.&lt;/p&gt;
&lt;p&gt;Project: &lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/meituan-longcat/LongCat-Video-Avatar-1.5&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://huggingface.co/meituan-longcat/LongCat-Video-Avatar-1.5&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;It is not a general text-to-video model. It is designed for “given speech and character conditions, generate a video where the person speaks, moves steadily, and keeps a consistent identity.” According to the model card, it supports Audio-Text-to-Video, Audio-Text-Image-to-Video, and Video Continuation, with both single-stream and multi-stream audio inputs.&lt;/p&gt;
&lt;p&gt;At the time of writing, the Hugging Face page lists the model under the MIT License, with tags such as &lt;code&gt;audio-text-to-video&lt;/code&gt;, &lt;code&gt;audio-image-text-to-video&lt;/code&gt;, &lt;code&gt;audio-driven-video-continuation&lt;/code&gt;, &lt;code&gt;avatar&lt;/code&gt;, and &lt;code&gt;video-generation&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;what-changed-in-15&#34;&gt;What changed in 1.5
&lt;/h2&gt;&lt;p&gt;The official model card describes &lt;code&gt;LongCat-Video-Avatar 1.5&lt;/code&gt; as a more production-oriented open-source framework focused on improving stability for audio-driven human video generation.&lt;/p&gt;
&lt;p&gt;Several changes stand out.&lt;/p&gt;
&lt;p&gt;First, the audio encoder has moved from Wav2Vec2 to Whisper-Large. The official description says this brings smoother and more natural lip dynamics. In practice, scenarios that care about lip sync should prefer &lt;code&gt;--model_type avatar-v1.5&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Second, it emphasizes long-video stability and identity consistency. Avatar videos often fail in two ways: the mouth does not match the audio in short clips, or the face, body, clothes, and motion drift in longer clips. One selling point of LongCat-Video-Avatar-1.5 is that it looks at lip sync, full-body temporal stability, and identity consistency together.&lt;/p&gt;
&lt;p&gt;Third, it is not limited to realistic talking-head broadcasting. The model card says it generalizes to anime, animals, multi-person interactions, object handling, and more complex conditions. That makes it relevant not only for news-style digital humans, but also short drama, singing, e-commerce narration, animated characters, and animal characters.&lt;/p&gt;
&lt;p&gt;Fourth, it provides 8-step inference. The model card mentions DMD2-based step distillation, reducing inference to 8 NFE to balance serving cost and visual quality. This matters for video models because generation is expensive, and fewer inference steps directly affect deployability.&lt;/p&gt;
&lt;h2 id=&#34;supported-tasks&#34;&gt;Supported tasks
&lt;/h2&gt;&lt;p&gt;Based on the model card and sample commands, the model mainly covers three task groups.&lt;/p&gt;
&lt;p&gt;The first is single-person animation.&lt;/p&gt;
&lt;p&gt;It supports video generation from audio plus text, and video generation from audio plus an image. A typical use case is giving a voice clip to make a character speak, perform, or present.&lt;/p&gt;
&lt;p&gt;The second is video continuation.&lt;/p&gt;
&lt;p&gt;The examples use parameters such as &lt;code&gt;--num_segments=5&lt;/code&gt;, &lt;code&gt;--ref_img_index=10&lt;/code&gt;, and &lt;code&gt;--mask_frame_range=3&lt;/code&gt; to continue generating longer clips under existing character conditions. This is useful for long narration, courses, singing, and continuous performance.&lt;/p&gt;
&lt;p&gt;The third is multi-person animation.&lt;/p&gt;
&lt;p&gt;Multi-person mode uses &lt;code&gt;run_demo_avatar_multi_audio_to_video.py&lt;/code&gt; and supports multiple audio streams. The model card also explains two dual-audio modes: when &lt;code&gt;audio_type&lt;/code&gt; is &lt;code&gt;para&lt;/code&gt;, merge mode requires two equal-length clips; when it is &lt;code&gt;add&lt;/code&gt;, concatenation mode sequentially joins two clips and pads gaps with silence.&lt;/p&gt;
&lt;h2 id=&#34;installation-and-model-download&#34;&gt;Installation and model download
&lt;/h2&gt;&lt;p&gt;The official flow starts by cloning the LongCat-Video repository:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone --single-branch --branch main https://github.com/meituan-longcat/LongCat-Video
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; LongCat-Video
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Then create a Python 3.10 environment and install PyTorch according to your CUDA version. The CUDA 12.4 example in the model card is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;conda create -n longcat-video &lt;span class=&#34;nv&#34;&gt;python&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;3.10
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;conda activate longcat-video
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install &lt;span class=&#34;nv&#34;&gt;torch&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;==&lt;/span&gt;2.6.0+cu124 &lt;span class=&#34;nv&#34;&gt;torchvision&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;==&lt;/span&gt;0.21.0+cu124 &lt;span class=&#34;nv&#34;&gt;torchaudio&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;==&lt;/span&gt;2.6.0 --index-url https://download.pytorch.org/whl/cu124
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You also need &lt;code&gt;flash_attn==2.7.4.post1&lt;/code&gt;, project requirements, &lt;code&gt;librosa&lt;/code&gt;, &lt;code&gt;ffmpeg&lt;/code&gt;, and &lt;code&gt;requirements_avatar.txt&lt;/code&gt;. The model card says FlashAttention-2 is enabled by default, and the config can also be changed to FlashAttention-3 or xformers.&lt;/p&gt;
&lt;p&gt;Download weights with &lt;code&gt;huggingface-cli&lt;/code&gt;:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install &lt;span class=&#34;s2&#34;&gt;&amp;#34;huggingface_hub[cli]&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;huggingface-cli download meituan-longcat/LongCat-Video --local-dir ./weights/LongCat-Video
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;huggingface-cli download meituan-longcat/LongCat-Video-Avatar-1.5 --local-dir ./weights/LongCat-Video-Avatar-1.5
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Note that it depends on two weight directories: LongCat-Video as the base video generation model, and LongCat-Video-Avatar-1.5 as the avatar model.&lt;/p&gt;
&lt;h2 id=&#34;quick-inference-examples&#34;&gt;Quick inference examples
&lt;/h2&gt;&lt;p&gt;Single-person Audio-Text-to-Video:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;torchrun --nproc_per_node&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;2&lt;/span&gt; run_demo_avatar_single_audio_to_video.py --context_parallel_size&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;2&lt;/span&gt; --checkpoint_dir&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;./weights/LongCat-Video-Avatar-1.5 --stage_1&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;at2v --input_json&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;assets/avatar/single_example_1.json --use_distill --model_type avatar-v1.5 --use_int8
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Single-person Audio-Image-to-Video:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;torchrun --nproc_per_node&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;2&lt;/span&gt; run_demo_avatar_single_audio_to_video.py --context_parallel_size&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;2&lt;/span&gt; --checkpoint_dir&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;./weights/LongCat-Video-Avatar-1.5  --stage_1&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;ai2v --input_json&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;assets/avatar/single_example_1.json --use_distill --model_type avatar-v1.5 --use_int8
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Multi-person Audio-Image-to-Video:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;torchrun --nproc_per_node&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;2&lt;/span&gt; run_demo_avatar_multi_audio_to_video.py --context_parallel_size&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;2&lt;/span&gt; --checkpoint_dir&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;./weights/LongCat-Video-Avatar-1.5 --input_json&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;assets/avatar/multi_example_1.json --use_distill --model_type avatar-v1.5 --use_int8
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;These commands share a few choices: they all use &lt;code&gt;--model_type avatar-v1.5&lt;/code&gt;, include &lt;code&gt;--use_distill&lt;/code&gt;, and enable &lt;code&gt;--use_int8&lt;/code&gt; in the examples. The model card states that &lt;code&gt;--use_distill&lt;/code&gt; is required when using &lt;code&gt;avatar-v1.5&lt;/code&gt;; &lt;code&gt;--use_int8&lt;/code&gt; loads the INT8-quantized DiT model to reduce VRAM usage and is only supported with &lt;code&gt;avatar-v1.5&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;tuning-parameters&#34;&gt;Tuning parameters
&lt;/h2&gt;&lt;p&gt;The model card gives several practical tips.&lt;/p&gt;
&lt;p&gt;If lip sync is not good enough, increase audio CFG. The recommended range is 3 to 5, and higher values usually help synchronization.&lt;/p&gt;
&lt;p&gt;Prompts should not be too short. Longer, more specific descriptions usually improve character consistency and naturalness. Character appearance, action, scene, clothing, and expression are all useful details.&lt;/p&gt;
&lt;p&gt;If repeated actions appear, adjust &lt;code&gt;--ref_img_index&lt;/code&gt; and &lt;code&gt;--mask_frame_range&lt;/code&gt;. The model card says &lt;code&gt;--ref_img_index&lt;/code&gt; between 0 and 24 is better for consistency, while setting it to 30 can help reduce repeated actions. Increasing &lt;code&gt;--mask_frame_range&lt;/code&gt; may also help, but overly large values can introduce artifacts.&lt;/p&gt;
&lt;p&gt;For resolution, the model supports 480P and 720P through &lt;code&gt;--resolution&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;good-use-cases&#34;&gt;Good use cases
&lt;/h2&gt;&lt;p&gt;The official previews cover broadcasting, acting, singing, e-commerce marketing, multi-person conversation, animation, and animal characters.&lt;/p&gt;
&lt;p&gt;In practice, it fits these directions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;News broadcasting, knowledge explanation, and course narration.&lt;/li&gt;
&lt;li&gt;E-commerce product introduction and marketing shorts.&lt;/li&gt;
&lt;li&gt;Virtual streamers, virtual-character short drama, and singing performance.&lt;/li&gt;
&lt;li&gt;Audio-driven animation for anime or animal characters.&lt;/li&gt;
&lt;li&gt;Multi-person conversational digital human videos.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The most interesting point is that it handles “lip sync” and “long-video stability” in the same framework. Many avatar models look fine in short clips, but drift in identity, repeat motions, or lose body stability once generation is extended. LongCat-Video-Avatar-1.5 explicitly treats these as optimization targets.&lt;/p&gt;
&lt;h2 id=&#34;things-to-watch&#34;&gt;Things to watch
&lt;/h2&gt;&lt;p&gt;First, this is not a hosted model directly available through Hugging Face Inference Providers. The page says it is not currently deployed by an Inference Provider, so real usage requires preparing the environment, downloading weights, and running the LongCat-Video code yourself.&lt;/p&gt;
&lt;p&gt;Second, local deployment is not lightweight. The examples use &lt;code&gt;torchrun --nproc_per_node=2&lt;/code&gt; and &lt;code&gt;context_parallel_size=2&lt;/code&gt;, and depend on PyTorch, FlashAttention, ffmpeg, librosa, and multiple model weights. Even with INT8 quantization, it is better suited to users with a stronger GPU environment.&lt;/p&gt;
&lt;p&gt;Third, avatar video involves likeness, voice, privacy, and content safety. The model card also reminds developers to assess accuracy, safety, and fairness themselves, and to comply with laws and regulations around data protection, privacy, and content safety. When generating real human likenesses or commercial videos, authorization and compliance matter more than visual quality.&lt;/p&gt;
&lt;p&gt;Fourth, do not treat the generic Hugging Face “Diffusers/Transformers usage snippets” on the model card as the full inference path for this project. Real avatar inference should follow the LongCat-Video repository and the &lt;code&gt;run_demo_avatar_*&lt;/code&gt; examples in the model card.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;LongCat-Video-Avatar-1.5 is a notable open-source avatar video model. It is not just making a face talk; it combines audio driving, character consistency, long-video stability, multi-person audio, and distilled inference in one framework.&lt;/p&gt;
&lt;p&gt;If you care about virtual streamers, e-commerce narration, course videos, animated characters, or multi-person dialogue videos, it is worth testing. But it is closer to a model for research and engineering teams to deploy and tune than an out-of-the-box web tool. Real deployment needs compute, asset authorization, prompt tuning, and content compliance workflows.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;LongCat-Video-Avatar-1.5 Hugging Face: &lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/meituan-longcat/LongCat-Video-Avatar-1.5&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://huggingface.co/meituan-longcat/LongCat-Video-Avatar-1.5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;LongCat-Video GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/meituan-longcat/LongCat-Video&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/meituan-longcat/LongCat-Video&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;LongCat-Video-Avatar-1.5 Technical Report: &lt;a class=&#34;link&#34; href=&#34;https://github.com/meituan-longcat/LongCat-Video&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/meituan-longcat/LongCat-Video&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>CLI-Anything: Turning Software into an Agent-Usable Command Line</title>
        <link>https://knightli.com/en/2026/05/25/cli-anything-agent-native-cli/</link>
        <pubDate>Mon, 25 May 2026 00:24:36 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/25/cli-anything-agent-native-cli/</guid>
        <description>&lt;p&gt;CLI-Anything is an open-source Agent tooling project from HKUDS. Its goal is to turn software that was originally designed for human GUI operation into command-line interfaces that AI Agents can call more easily. It does not reimplement a simplified version of the software. Instead, it builds a CLI harness around the existing codebase and real backend, allowing Agents to complete tasks through stable commands, stateful sessions, and structured output.&lt;/p&gt;
&lt;p&gt;This direction addresses one of the most common gaps when Agents use software: GUI automation depends on screenshots, clicks, and coordinates, so it is easily affected by interface changes; a single API is also often incomplete, forcing the Agent to stitch together a large amount of context on its own. CLI-Anything chooses to condense software capabilities into a command line because commands are naturally easier for models to read, combine, and verify, while also fitting neatly into scripts and automation workflows.&lt;/p&gt;
&lt;h2 id=&#34;how-it-works&#34;&gt;How it works
&lt;/h2&gt;&lt;p&gt;The official repository describes CLI-Anything as a pipeline for automatically generating CLIs. After receiving a local software source path or a GitHub repository URL, the process analyzes the code structure, identifies the backend and data models, designs command groups, and then implements the CLI, tests, and documentation.&lt;/p&gt;
&lt;p&gt;The generated CLI usually supports two usage modes. One is a REPL for continuous work, which preserves project state. The other is a subcommand mode, which is better suited to scripts and pipelines. Commands also provide JSON output so Agents can parse results directly, while still keeping a human-readable format for debugging.&lt;/p&gt;
&lt;p&gt;In the official example, the Claude Code plugin can be used like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/plugin marketplace add HKUDS/CLI-Anything
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/plugin install cli-anything
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/cli-anything &amp;lt;software-path-or-repo&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If a harness has already been generated for a piece of software, later usage is closer to a normal Python CLI:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cd &amp;lt;software&amp;gt;/agent-harness
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install -e .
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cli-anything-&amp;lt;software&amp;gt; --help
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cli-anything-&amp;lt;software&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cli-anything-&amp;lt;software&amp;gt; --json &amp;lt;command&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;where-it-fits&#34;&gt;Where it fits
&lt;/h2&gt;&lt;p&gt;CLI-Anything is especially suitable for scenarios where &amp;ldquo;the capability exists in real software, but the Agent cannot operate it reliably.&amp;rdquo; Examples include image, video, audio, office documents, 3D modeling, data analysis, or AI/ML toolchains. As long as the project has an analyzable codebase, a callable backend, or a clear data model, it has a chance to be wrapped as a command set that Agents can use.&lt;/p&gt;
&lt;p&gt;Its value is not merely adding another layer of wrapping in the command line. The real value is turning key software operations into discoverable, composable, and testable interfaces. An Agent can first understand capabilities through &lt;code&gt;--help&lt;/code&gt;, then receive results through JSON output, and connect multiple commands into a workflow. For tasks that require batch processing, automatic validation, and continuous iteration, this is more controllable than temporarily asking an Agent to click through an interface.&lt;/p&gt;
&lt;h2 id=&#34;boundaries-to-keep-in-mind&#34;&gt;Boundaries to keep in mind
&lt;/h2&gt;&lt;p&gt;CLI-Anything does not mean that any software can be integrated instantly at no cost. It depends on the target software&amp;rsquo;s source code, backend capabilities, file formats, and testability. If a piece of software is highly closed and its key logic exists only in the GUI layer, the difficulty of generating a high-quality CLI rises significantly.&lt;/p&gt;
&lt;p&gt;The official methodology also emphasizes real backends and test validation. This means generating a harness is not finished after writing a few command wrapper scripts. To use it for serious work, you still need to confirm command coverage, output format, dependency installation, real software invocation, and end-to-end test reliability. A more realistic approach is to first generate a CLI for a clearly defined workflow, then gradually fill in capabilities through commands such as refine, test, and validate.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;CLI-Anything&amp;rsquo;s idea is direct: instead of making Agents adapt to fragile human interfaces, add a stable, structured, and testable command-line entry point to existing software. It is suitable for people who want to bring professional software into Agent workflows, and also for developers studying the shape of &amp;ldquo;Agent-native software.&amp;rdquo; In real adoption, the key question is not how much code one command can generate, but whether the generated CLI can call real capabilities, preserve state, output structured results, and stand up to testing.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Qwen3.6-35B-A3B jailbreak local deployment: uncensored GGUF, llama.cpp, and safety boundaries</title>
        <link>https://knightli.com/en/2026/05/24/qwen36-35b-a3b-local-deployment-llamacpp-gguf/</link>
        <pubDate>Sun, 24 May 2026 23:52:16 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/24/qwen36-35b-a3b-local-deployment-llamacpp-gguf/</guid>
        <description>&lt;p&gt;Freedidi recently introduced a popular local model: &lt;code&gt;Qwen3.6-35B-A3B Uncensored HauhauCS Aggressive&lt;/code&gt;. The original article describes it as a jailbreak or uncensored open model, and gives GGUF quantized files, a llama.cpp launch method, and ideas for connecting it to agents.&lt;/p&gt;
&lt;p&gt;This kind of model is worth watching, but it should be understood calmly. The point is not only that it has fewer restrictions. It brings several important local AI capabilities together:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A 35B-class model with a MoE architecture.&lt;/li&gt;
&lt;li&gt;GGUF quantization that can run on consumer GPUs.&lt;/li&gt;
&lt;li&gt;An OpenAI-compatible local API through llama.cpp.&lt;/li&gt;
&lt;li&gt;Multimodal vision input through &lt;code&gt;mmproj&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Integration with local agent tools such as Hermes and OpenClaw.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you care about local models, the more important trend is not the jailbreak label. It is that local models are moving from “can chat” toward “can use tools, understand images, and serve as agent backends.”&lt;/p&gt;
&lt;h2 id=&#34;what-this-model-is&#34;&gt;What this model is
&lt;/h2&gt;&lt;p&gt;The model name mentioned in the original article is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Qwen3.6-35B-A3B Uncensored HauhauCS Aggressive
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The name contains several key pieces:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Qwen3.6&lt;/code&gt;: based on the Qwen model family.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;35B&lt;/code&gt;: around 35B total parameters.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;A3B&lt;/code&gt;: roughly 3B active parameters per inference step, following a MoE-style design.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Uncensored&lt;/code&gt; / &lt;code&gt;Aggressive&lt;/code&gt;: fewer safety restrictions or a more aggressive tuning style.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;GGUF&lt;/code&gt;: a quantized format for local inference tools such as llama.cpp.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;One important note: &lt;code&gt;Uncensored&lt;/code&gt; does not mean more reliable. It usually means the model refuses less often, but it may also generate unconstrained, unverified, or risky content more easily. It can be useful for technical experiments, but it should not be connected directly to public services, production systems, or unattended workflows.&lt;/p&gt;
&lt;h2 id=&#34;why-a-35b-model-can-run-locally&#34;&gt;Why a 35B model can run locally
&lt;/h2&gt;&lt;p&gt;Many people see &lt;code&gt;35B&lt;/code&gt; and assume it requires a server or high-end multi-GPU machine. The key point in the original article is that this model uses a MoE architecture.&lt;/p&gt;
&lt;p&gt;MoE can be understood simply: the model has many total parameters, but each inference step activates only part of the experts. The original article says it activates roughly 3B parameters per run, so with quantization it can have much lower speed and VRAM pressure than a traditional dense 35B model.&lt;/p&gt;
&lt;p&gt;After GGUF quantization, it becomes possible to run it on consumer GPUs. The article says the smallest quantized version is around 11GB, and 6GB/8GB GPUs can try it, though at least 8GB VRAM is recommended.&lt;/p&gt;
&lt;p&gt;A more realistic expectation:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;6GB VRAM: possible with low-bit quantization, but reduce expectations for context length and speed.&lt;/li&gt;
&lt;li&gt;8GB VRAM: better for entry-level testing with smaller quantization.&lt;/li&gt;
&lt;li&gt;16GB VRAM: more comfortable for longer context and more GPU offload.&lt;/li&gt;
&lt;li&gt;24GB VRAM: better for higher-quality quantizations such as Q4_K_M and Q4_K_P.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Whether a local model is usable is not only about whether it starts. Context length, generation speed, remaining VRAM, KV cache, multimodal mode, concurrency, and task type all matter.&lt;/p&gt;
&lt;h2 id=&#34;how-to-read-the-quantization-choices&#34;&gt;How to read the quantization choices
&lt;/h2&gt;&lt;p&gt;The original article roughly recommends:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Q4_K_P&lt;/code&gt;: better for RTX 4090 or other 24GB VRAM machines.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Q4_K_M&lt;/code&gt;: more stable and higher quality.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;IQ4_NL&lt;/code&gt;: strong compression while preserving quality as much as possible.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;IQ2_M&lt;/code&gt;: for 6GB/8GB VRAM users.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Think of this as a trade-off between quality and resource usage:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Q4 quantizations are usually more stable, but use more VRAM.&lt;/li&gt;
&lt;li&gt;IQ2 / IQ3 quantizations save resources, but may reduce answer quality, long-text stability, and detail handling.&lt;/li&gt;
&lt;li&gt;If you only want to test agent calls and a local API, low quantization can help you get the flow running.&lt;/li&gt;
&lt;li&gt;If you plan to write code, analyze images, or do complex reasoning for long periods, choose higher-quality quantization when possible.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Do not treat “it starts” as “it is good enough for long-term use.” Low-VRAM startup and stable task completion are different things.&lt;/p&gt;
&lt;h2 id=&#34;llamacpp-deployment-approach&#34;&gt;llama.cpp deployment approach
&lt;/h2&gt;&lt;p&gt;The original article recommends &lt;code&gt;llama.cpp&lt;/code&gt; because it supports Windows, Linux, macOS, and backends such as NVIDIA CUDA, AMD, Intel, Vulkan, and CPU.&lt;/p&gt;
&lt;p&gt;A typical launch command looks like:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;9
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-powershell&#34; data-lang=&#34;powershell&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;llama-server&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;py&#34;&gt;exe&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;n&#34;&gt;-m&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;model-path.gguf&amp;#34;&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;-&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;-mmproj&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;mmproj.gguf&amp;#34;&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;n&#34;&gt;-ngl&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;999&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;n&#34;&gt;-c&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;131072&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;n&#34;&gt;-n&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;8192&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;-&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;-host&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;127.0&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;py&#34;&gt;0&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;py&#34;&gt;1&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;-&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;-port&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;8080&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;^&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;-&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;-jinja&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Several parameters are worth understanding:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;-m&lt;/code&gt;: path to the main GGUF model.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--mmproj&lt;/code&gt;: multimodal projection file required for vision input.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;-ngl&lt;/code&gt;: offload layers to GPU as much as possible, depending on VRAM and backend.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;-c&lt;/code&gt;: context length; higher values use more memory and VRAM.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;-n&lt;/code&gt;: maximum generated tokens per response.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--host 127.0.0.1&lt;/code&gt;: listen only locally, safer than exposing publicly.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--port 8080&lt;/code&gt;: local API port.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;--jinja&lt;/code&gt;: important for newer Qwen chat templates; without it, formatting issues, repetition, or Chinese output problems may occur.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The easiest trap is context length. &lt;code&gt;-c 131072&lt;/code&gt; looks attractive, but long context significantly increases KV cache usage. On low-VRAM machines, start smaller and increase gradually.&lt;/p&gt;
&lt;h2 id=&#34;how-multimodal-support-works&#34;&gt;How multimodal support works
&lt;/h2&gt;&lt;p&gt;The article says this build supports multimodal vision, including image analysis, screenshots, OCR, complex UI analysis, and code screenshots.&lt;/p&gt;
&lt;p&gt;In llama.cpp, multimodal support usually requires both the main model and the matching &lt;code&gt;mmproj&lt;/code&gt; file. If &lt;code&gt;--mmproj&lt;/code&gt; is not loaded correctly, image upload may be unavailable or the model may not understand images correctly.&lt;/p&gt;
&lt;p&gt;Useful local multimodal scenarios include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Analyzing UI screenshots.&lt;/li&gt;
&lt;li&gt;OCR on image text.&lt;/li&gt;
&lt;li&gt;Reading code screenshots or error screenshots.&lt;/li&gt;
&lt;li&gt;Providing visual input to local agents.&lt;/li&gt;
&lt;li&gt;Processing private images without uploading them to the cloud.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;But vision understanding is not strict OCR or a guaranteed source of truth. For invoices, contracts, IDs, medical images, and other high-risk material, human review is still required.&lt;/p&gt;
&lt;h2 id=&#34;openai-compatible-api&#34;&gt;OpenAI-compatible API
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;llama-server&lt;/code&gt; in llama.cpp can expose a local interface similar to the OpenAI API. The local base URL from the original article is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://127.0.0.1:8080/v1
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This means many tools that support custom OpenAI-compatible providers can send requests to the local model. The API key can often be any placeholder value, depending on whether the client enforces validation.&lt;/p&gt;
&lt;p&gt;This is useful because:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;No cloud API key is needed.&lt;/li&gt;
&lt;li&gt;There is no per-token billing.&lt;/li&gt;
&lt;li&gt;Data can remain on the local machine.&lt;/li&gt;
&lt;li&gt;It can connect to local agents, coding assistants, or chat frontends.&lt;/li&gt;
&lt;li&gt;It can be used as a local OpenAI API replacement for experiments.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Do not expose the local API directly to the public internet. Even when the model runs locally, an open API can be abused, consume machine resources, or produce content you did not intend to generate.&lt;/p&gt;
&lt;h2 id=&#34;why-hermes-and-openclaw-matter&#34;&gt;Why Hermes and OpenClaw matter
&lt;/h2&gt;&lt;p&gt;The original article says the value becomes clearer when connecting this local model to Hermes or OpenClaw.&lt;/p&gt;
&lt;p&gt;The meaning is that the model itself is only the inference core. Agent tools connect it to real tasks, such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Writing code.&lt;/li&gt;
&lt;li&gt;Calling tools.&lt;/li&gt;
&lt;li&gt;Reading files.&lt;/li&gt;
&lt;li&gt;Analyzing images.&lt;/li&gt;
&lt;li&gt;Searching the web.&lt;/li&gt;
&lt;li&gt;Executing multi-step tasks.&lt;/li&gt;
&lt;li&gt;Maintaining long-context workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A local model used only for chat has limited value. If it can act as a stable agent backend, it becomes closer to a local AI workstation.&lt;/p&gt;
&lt;p&gt;However, connecting an uncensored model to an agent requires extra caution. When the agent can operate files, run commands, visit web pages, and call tools, model output turns into real actions. The fewer restrictions the model has, the more important external permissions, human confirmation, and audit logs become.&lt;/p&gt;
&lt;h2 id=&#34;safety-boundaries-for-uncensored-models&#34;&gt;Safety boundaries for uncensored models
&lt;/h2&gt;&lt;p&gt;The main selling point of these models is often that they refuse less. But fewer refusals also mean higher risk.&lt;/p&gt;
&lt;p&gt;Keep in mind:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;It may more easily produce illegal, dangerous, or misleading content.&lt;/li&gt;
&lt;li&gt;It may not actively remind you of safety boundaries.&lt;/li&gt;
&lt;li&gt;It may give overconfident advice on high-risk topics.&lt;/li&gt;
&lt;li&gt;It may be induced by prompts to perform inappropriate tasks.&lt;/li&gt;
&lt;li&gt;It is not suitable for direct public exposure.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A safer approach:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Test only on a local machine or controlled LAN.&lt;/li&gt;
&lt;li&gt;Do not connect it to high-privilege tools.&lt;/li&gt;
&lt;li&gt;Do not let it automatically delete, pay, publish, or bulk-submit.&lt;/li&gt;
&lt;li&gt;Put file, command, network, and browser permission boundaries around agent tools.&lt;/li&gt;
&lt;li&gt;Keep human review for high-risk outputs.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The freer the model is, the more external system constraints it needs.&lt;/p&gt;
&lt;h2 id=&#34;who-should-try-it&#34;&gt;Who should try it
&lt;/h2&gt;&lt;p&gt;This kind of model fits users who:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Want to study local LLM deployment.&lt;/li&gt;
&lt;li&gt;Have at least 8GB VRAM and are willing to tune GGUF and llama.cpp.&lt;/li&gt;
&lt;li&gt;Want to connect local models to OpenAI-compatible clients.&lt;/li&gt;
&lt;li&gt;Care about local multimodal input, screenshot analysis, and agent backends.&lt;/li&gt;
&lt;li&gt;Want to process some private data offline.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is less suitable for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Beginners who do not want to tune parameters.&lt;/li&gt;
&lt;li&gt;Services that require stable production SLA.&lt;/li&gt;
&lt;li&gt;Teams with strict security and compliance requirements.&lt;/li&gt;
&lt;li&gt;Business workflows that require strict factual reliability.&lt;/li&gt;
&lt;li&gt;People who want to expose the model directly to external users.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;conclusion&#34;&gt;Conclusion
&lt;/h2&gt;&lt;p&gt;Models like &lt;code&gt;Qwen3.6-35B-A3B Uncensored HauhauCS Aggressive&lt;/code&gt; show that local AI capabilities are moving quickly. Consumer GPUs can run larger models, GGUF quantization lowers deployment barriers, llama.cpp gives local models OpenAI-compatible APIs, and multimodal plus agent tools push them from chat toward task execution.&lt;/p&gt;
&lt;p&gt;But it should not be understood only as a jailbreak model. The more valuable angle is that local AI is becoming composable infrastructure. The final experience depends on the model, inference engine, API server, frontend, agent tools, and permission controls together.&lt;/p&gt;
&lt;p&gt;If you try it, start with low-risk local testing: choose an appropriate quantization, reduce context length, verify &lt;code&gt;--jinja&lt;/code&gt; and &lt;code&gt;--mmproj&lt;/code&gt;, then connect a client. After it is stable, consider connecting agent workflows.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Freedidi article: &lt;a class=&#34;link&#34; href=&#34;https://www.freedidi.com/24284.html&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.freedidi.com/24284.html&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;llama.cpp GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/ggml-org/llama.cpp&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/ggml-org/llama.cpp&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>How browser-harness domain skills keep AI agents from repeating browser automation mistakes</title>
        <link>https://knightli.com/en/2026/05/24/browser-harness-domain-skills-summary/</link>
        <pubDate>Sun, 24 May 2026 23:43:35 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/24/browser-harness-domain-skills-summary/</guid>
        <description>&lt;p&gt;The most interesting part of &lt;code&gt;browser-use/browser-harness&lt;/code&gt; is not only that it lets AI agents control real Chrome. It also turns web-operation experience into reusable &lt;code&gt;domain skills&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;That matters because browser automation is rarely difficult only because of clicking buttons. Each website has its own details:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Which pages require login.&lt;/li&gt;
&lt;li&gt;Which data can be fetched directly through an API.&lt;/li&gt;
&lt;li&gt;Which buttons do not respond to normal DOM clicks.&lt;/li&gt;
&lt;li&gt;Which iframes, shadow DOM components, or popups block the flow.&lt;/li&gt;
&lt;li&gt;Which selectors are stable and which are temporary classes.&lt;/li&gt;
&lt;li&gt;Which actions involve accounts, payments, or irreversible changes and require human confirmation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If this experience only stays in one task log, the agent will hit the same problems again next time. &lt;code&gt;domain skills&lt;/code&gt; are meant to preserve that experience so the agent does not start from zero every time it opens a site.&lt;/p&gt;
&lt;h2 id=&#34;what-domain-skills-are&#34;&gt;What domain skills are
&lt;/h2&gt;&lt;p&gt;You can think of &lt;code&gt;domain skills&lt;/code&gt; as site-operation manuals for agents.&lt;/p&gt;
&lt;p&gt;They are not ordinary user documentation, and they are not one-off scripts. They are closer to field-tested site knowledge:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether the site is suitable for browser automation.&lt;/li&gt;
&lt;li&gt;Which API should be used first if an API exists.&lt;/li&gt;
&lt;li&gt;Which URL should be used when the browser is necessary.&lt;/li&gt;
&lt;li&gt;Which DOM structures, aria-labels, and button behaviors have been verified.&lt;/li&gt;
&lt;li&gt;Which common approaches fail.&lt;/li&gt;
&lt;li&gt;Which scenarios should stop and ask for human intervention.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This content can be reviewed by humans and read by agents during tasks. It turns on-the-spot exploration into maintainable experience.&lt;/p&gt;
&lt;h2 id=&#34;they-are-not-about-blind-clicking&#34;&gt;They are not about blind clicking
&lt;/h2&gt;&lt;p&gt;A good browser agent should not turn every problem into opening a webpage, looking at screenshots, and clicking buttons.&lt;/p&gt;
&lt;p&gt;One important kind of experience in &lt;code&gt;domain skills&lt;/code&gt; tells the agent when not to use the browser.&lt;/p&gt;
&lt;p&gt;For sites such as ArXiv, paper search, metadata, and abstracts can be fetched directly through the Atom API or HTML meta tags. HTTP requests are usually faster, more stable, and easier to parse than opening a browser.&lt;/p&gt;
&lt;p&gt;GitHub follows a similar pattern. Repository, user, and release data should use the REST API first. File contents should use &lt;code&gt;raw.githubusercontent.com&lt;/code&gt; first. Only pages such as GitHub Trending, which do not have an equivalent API, need browser interaction.&lt;/p&gt;
&lt;p&gt;This shows that browser-harness is not based on “the browser solves everything.” It puts the browser in the right place: when APIs, HTTP, and static pages cannot solve the problem, let the agent operate a real page.&lt;/p&gt;
&lt;h2 id=&#34;they-store-site-level-knowledge&#34;&gt;They store site-level knowledge
&lt;/h2&gt;&lt;p&gt;Traditional automation scripts are usually written around one task, for example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Open page -&amp;gt; enter keyword -&amp;gt; click button -&amp;gt; download file
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;That script may complete the task, but the experience is scattered inside code. When the site changes, the script may fail. When the task changes, much of the experience may not be reusable.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;domain skills&lt;/code&gt; are closer to a site-level knowledge base. They care about:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Which container selector is stable in Amazon search results.&lt;/li&gt;
&lt;li&gt;Which GitHub data should go through the REST API.&lt;/li&gt;
&lt;li&gt;How LinkedIn invitation buttons differ in &lt;code&gt;aria-label&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Which Shopify Admin pages are embedded apps.&lt;/li&gt;
&lt;li&gt;Why Shopify Polaris inputs cannot always be filled with normal JS &lt;code&gt;value&lt;/code&gt; assignment.&lt;/li&gt;
&lt;li&gt;How Browser Use Cloud browser instances are created, listed, and cleaned up.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These are not steps for one task. They are decision-making knowledge that many future tasks can reuse.&lt;/p&gt;
&lt;h2 id=&#34;example-amazon-product-search&#34;&gt;Example: Amazon product search
&lt;/h2&gt;&lt;p&gt;For Amazon product search, the important part is not only how to search, but which path is more stable.&lt;/p&gt;
&lt;p&gt;A more reliable approach is to use a direct search URL instead of opening the homepage and simulating typing every time. Search results can be extracted from a container such as &lt;code&gt;[data-component-type=&amp;quot;s-search-result&amp;quot;]&lt;/code&gt;. Field extraction also has details: title, price, rating, review count, and sponsored status each have more stable DOM sources.&lt;/p&gt;
&lt;p&gt;This kind of experience is valuable for an agent. Without it, the agent may guess buttons from screenshots and repeatedly try selectors. With it, the agent can go directly to a more stable extraction path.&lt;/p&gt;
&lt;p&gt;More importantly, a skill can record traps. For example, some selectors that look usable may misread sponsored results or cross-sell areas. You only learn that from field testing.&lt;/p&gt;
&lt;h2 id=&#34;example-linkedin-invitation-management&#34;&gt;Example: LinkedIn invitation management
&lt;/h2&gt;&lt;p&gt;LinkedIn is closer to a real account workflow, and the risk is higher.&lt;/p&gt;
&lt;p&gt;On the invitation manager page, the Accept and Ignore buttons use different &lt;code&gt;aria-label&lt;/code&gt; formats. You cannot simply derive one from the other. Some invitation cards even render Accept as an &lt;code&gt;&amp;lt;a&amp;gt;&lt;/code&gt; element rather than a &lt;code&gt;&amp;lt;button&amp;gt;&lt;/code&gt;, and ordinary CDP clicks may not trigger the accept action.&lt;/p&gt;
&lt;p&gt;This shows that real web automation does not end when an element is located. Button labels, event binding, soft navigation, and component implementation all affect whether an action really works.&lt;/p&gt;
&lt;p&gt;For an agent, this experience also has a safety meaning. Operations involving social accounts, invitations, messages, and posting should not be fully delegated. A skill can record the path and traps, but accepting invitations in bulk, sending content externally, or changing account details should keep human confirmation.&lt;/p&gt;
&lt;h2 id=&#34;example-shopify-admin&#34;&gt;Example: Shopify Admin
&lt;/h2&gt;&lt;p&gt;Shopify Admin shows another issue: backend systems are often not one page, but a combination of embedded apps and complex components.&lt;/p&gt;
&lt;p&gt;Many Shopify apps run inside iframes. Polaris React inputs, Web Components, and embedded apps all behave differently. Some inputs cannot be filled with &lt;code&gt;element.value = ...&lt;/code&gt;; they need CDP keystrokes that are closer to real keyboard input.&lt;/p&gt;
&lt;p&gt;The value of this kind of skill is that it lets the agent first identify what kind of UI it is looking at, then choose the right operation method.&lt;/p&gt;
&lt;p&gt;Shopify experience also emphasizes “do not use the browser if you do not have to”:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;For read-only product and inventory data, use the Storefront API first.&lt;/li&gt;
&lt;li&gt;If an Admin API token exists, use the Admin API first.&lt;/li&gt;
&lt;li&gt;For theme code editing, use Shopify CLI first.&lt;/li&gt;
&lt;li&gt;Use the browser only when there is no API, the change is rare, or you are exploring the admin.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That is a mature tool-selection logic for agents.&lt;/p&gt;
&lt;h2 id=&#34;example-browser-use-cloud&#34;&gt;Example: Browser Use Cloud
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;domain skills&lt;/code&gt; do not only serve webpage clicking. They can also record API experience around browser runtimes.&lt;/p&gt;
&lt;p&gt;Browser Use Cloud experience can record how to create cloud browsers through REST APIs, list running browsers, clean up zombie browsers, and obtain &lt;code&gt;liveUrl&lt;/code&gt; and &lt;code&gt;cdpUrl&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;This means a skill is not limited to “how to click a button.” Any recurring task with a stable method can become a skill:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;API call patterns.&lt;/li&gt;
&lt;li&gt;Authentication header format.&lt;/li&gt;
&lt;li&gt;Request and response structure.&lt;/li&gt;
&lt;li&gt;Verified status codes.&lt;/li&gt;
&lt;li&gt;Common failure modes.&lt;/li&gt;
&lt;li&gt;Resource cleanup and recycling methods.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For agents, all of these are reusable capabilities.&lt;/p&gt;
&lt;h2 id=&#34;why-this-is-more-reliable-than-ad-hoc-reasoning&#34;&gt;Why this is more reliable than ad-hoc reasoning
&lt;/h2&gt;&lt;p&gt;Many people expect a large model to understand the webpage by itself every time. In real tasks, relying only on ad-hoc reasoning is unstable.&lt;/p&gt;
&lt;p&gt;The reasons are simple:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Web UI changes often.&lt;/li&gt;
&lt;li&gt;The same button may have multiple implementations.&lt;/li&gt;
&lt;li&gt;Visible does not mean clickable.&lt;/li&gt;
&lt;li&gt;Clickable does not mean the action really worked.&lt;/li&gt;
&lt;li&gt;Some tasks should use APIs instead of browsers.&lt;/li&gt;
&lt;li&gt;Some operations require human confirmation and should not be decided by the model alone.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Writing these experiences into files brings several benefits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Humans can review them.&lt;/li&gt;
&lt;li&gt;Wrong experience can be corrected.&lt;/li&gt;
&lt;li&gt;Site knowledge can accumulate over time.&lt;/li&gt;
&lt;li&gt;New agents can inherit old experience.&lt;/li&gt;
&lt;li&gt;Temporary task discoveries can become long-term knowledge.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is more stable than putting everything into a prompt or chat context.&lt;/p&gt;
&lt;h2 id=&#34;how-teams-can-use-it&#34;&gt;How teams can use it
&lt;/h2&gt;&lt;p&gt;In a team, &lt;code&gt;domain skills&lt;/code&gt; can become a lightweight automation knowledge base.&lt;/p&gt;
&lt;p&gt;Useful content to record includes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Post-login paths in internal systems.&lt;/li&gt;
&lt;li&gt;Report export flows.&lt;/li&gt;
&lt;li&gt;Common popup handling.&lt;/li&gt;
&lt;li&gt;Which buttons require human confirmation.&lt;/li&gt;
&lt;li&gt;Which pages have API alternatives.&lt;/li&gt;
&lt;li&gt;Which selectors were tested and found reliable.&lt;/li&gt;
&lt;li&gt;Which tasks agents are not allowed to run automatically.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This knowledge does not need to be complete at the beginning. A practical path is to start with low-risk, frequent, reversible workflows: read-only tasks, downloads, organization, and checks. Once the flow is stable, turn the experience into a skill.&lt;/p&gt;
&lt;p&gt;For team managers, skill files also make automation boundaries visible. You can inspect what the agent knows, what it can do, and where it should stop.&lt;/p&gt;
&lt;h2 id=&#34;boundaries-to-keep&#34;&gt;Boundaries to keep
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;domain skills&lt;/code&gt; can improve an agent’s success rate, but they should not fully automate high-risk operations.&lt;/p&gt;
&lt;p&gt;Several boundaries matter:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Do not record passwords, Cookie, token, customer data, or sensitive internal URLs.&lt;/li&gt;
&lt;li&gt;Keep human confirmation for payments, deletion, bulk submission, account changes, and external publishing.&lt;/li&gt;
&lt;li&gt;Record verification date and scope.&lt;/li&gt;
&lt;li&gt;Allow skills to expire after site changes and require revalidation.&lt;/li&gt;
&lt;li&gt;Do not make bypassing risk controls or platform limits a goal.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In other words, domain skills make agents steadier. They do not give agents unlimited permission.&lt;/p&gt;
&lt;h2 id=&#34;conclusion&#34;&gt;Conclusion
&lt;/h2&gt;&lt;p&gt;The &lt;code&gt;domain skills&lt;/code&gt; mechanism in browser-harness shows one thing: AI browser automation cannot rely only on the model improvising at runtime.&lt;/p&gt;
&lt;p&gt;A usable browser agent needs at least three layers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Low-level control: screenshots, clicks, input, downloads, CDP, HTTP.&lt;/li&gt;
&lt;li&gt;Site-level knowledge: API priority, stable selectors, component traps, login boundaries.&lt;/li&gt;
&lt;li&gt;Human safety rules: do not give credentials to the model, confirm high-risk actions, and do not write sensitive information into skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;code&gt;domain skills&lt;/code&gt; fill the second layer. They let an agent enter a web task with verified experience instead of rediscovering everything every time.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;browser-harness domain skills: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/tree/main/agent-workspace/domain-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/tree/main/agent-workspace/domain-skills&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Amazon product-search skill: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/amazon/product-search.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/amazon/product-search.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;ArXiv scraping skill: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/arxiv/scraping.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/arxiv/scraping.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;GitHub scraping skill: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/github/scraping.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/github/scraping.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;LinkedIn invitation-manager skill: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/linkedin/invitation-manager.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/linkedin/invitation-manager.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Shopify admin skill: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/shopify-admin/README.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/shopify-admin/README.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Browser Use Cloud skill: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/browser-use-cloud/cloud.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/agent-workspace/domain-skills/browser-use-cloud/cloud.md&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>browser-harness, Playwright, and Puppeteer: which browser automation tool should you choose?</title>
        <link>https://knightli.com/en/2026/05/24/browser-harness-playwright-puppeteer-comparison/</link>
        <pubDate>Sun, 24 May 2026 17:51:28 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/24/browser-harness-playwright-puppeteer-comparison/</guid>
        <description>&lt;p&gt;In browser automation and automated testing, &lt;code&gt;Playwright&lt;/code&gt; and &lt;code&gt;Puppeteer&lt;/code&gt; are two of the most commonly compared tools. Both can control browsers, click pages, extract content, generate screenshots or PDFs, and both are closely related to Chrome DevTools Protocol.&lt;/p&gt;
&lt;p&gt;Once &lt;code&gt;browser-use/browser-harness&lt;/code&gt; is added to the picture, the question is no longer simply “which testing framework is stronger.” It becomes a comparison between two kinds of tools:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Playwright&lt;/code&gt; / &lt;code&gt;Puppeteer&lt;/code&gt;: tools for engineers to write deterministic scripts.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;browser-harness&lt;/code&gt;: a tool for AI agents to operate real browsers.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The first group fits testing, scraping, and engineered automation. The second is closer to a browser control layer for agents such as Claude Code, Codex CLI, and Gemini.&lt;/p&gt;
&lt;h2 id=&#34;the-relationship-between-playwright-and-puppeteer&#34;&gt;The relationship between Playwright and Puppeteer
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Puppeteer&lt;/code&gt; was originally launched by the Google Chrome team and naturally focuses on Chromium and Chrome automation. Its API is concise, the ecosystem is mature, and it is especially convenient for screenshots, PDF generation, page scraping, and lightweight automation around Chrome.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Playwright&lt;/code&gt; is maintained by Microsoft, and its team has deep historical links to early Puppeteer work. It absorbed many lessons from Puppeteer and added stronger cross-browser support, auto-waiting, context isolation, test reports, and debugging tools.&lt;/p&gt;
&lt;p&gt;In short:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;If you only need lightweight Chrome-based tasks, &lt;code&gt;Puppeteer&lt;/code&gt; is still very pleasant to use.&lt;/li&gt;
&lt;li&gt;If you are doing cross-browser E2E tests, complex SPA automation, or team-level test engineering, &lt;code&gt;Playwright&lt;/code&gt; is usually the better fit.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;core-differences&#34;&gt;Core differences
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Dimension&lt;/th&gt;
          &lt;th&gt;Puppeteer&lt;/th&gt;
          &lt;th&gt;Playwright&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Maintainer&lt;/td&gt;
          &lt;td&gt;Google&lt;/td&gt;
          &lt;td&gt;Microsoft&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Browser support&lt;/td&gt;
          &lt;td&gt;Mainly Chrome / Chromium&lt;/td&gt;
          &lt;td&gt;Chromium, Firefox, WebKit&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Language support&lt;/td&gt;
          &lt;td&gt;Mainly JavaScript / TypeScript&lt;/td&gt;
          &lt;td&gt;JavaScript / TypeScript, Python, Java, .NET&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Auto-waiting&lt;/td&gt;
          &lt;td&gt;More explicit waiting&lt;/td&gt;
          &lt;td&gt;Strong Locator and auto-waiting&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Context isolation&lt;/td&gt;
          &lt;td&gt;Supported, but less central&lt;/td&gt;
          &lt;td&gt;Excellent BrowserContext workflow&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Tooling&lt;/td&gt;
          &lt;td&gt;Simple, mature, foundational&lt;/td&gt;
          &lt;td&gt;Codegen, Trace Viewer, reports&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Typical use&lt;/td&gt;
          &lt;td&gt;Chrome automation, screenshots, PDF, lightweight scraping&lt;/td&gt;
          &lt;td&gt;Cross-browser E2E tests, complex frontend automation&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;browser-support&#34;&gt;Browser support
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Puppeteer&lt;/code&gt; is strongest with Chrome. It integrates tightly with Chromium. If your goal is to control Chrome, generate PDFs, take screenshots, or run simple scraping tasks, Puppeteer has a low mental overhead.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Playwright&lt;/code&gt; is stronger for cross-browser work. It natively supports Chromium, Firefox, and WebKit. WebKit is especially important because many Safari-related issues cannot be detected through Chrome alone. For applications that need coverage across desktop, mobile, and multiple browser engines, Playwright is the better main tool.&lt;/p&gt;
&lt;p&gt;This is the first decision boundary: if you only care about Chrome, Puppeteer is fine. If you are serious about cross-browser testing, choose Playwright first.&lt;/p&gt;
&lt;h2 id=&#34;auto-waiting-and-stability&#34;&gt;Auto-waiting and stability
&lt;/h2&gt;&lt;p&gt;The most annoying part of browser automation is often not “how to click,” but whether the page is ready. An element may not be attached to the DOM, may be covered, may still be animating, or may still be disabled.&lt;/p&gt;
&lt;p&gt;In Puppeteer, you often write:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-javascript&#34; data-lang=&#34;javascript&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;waitForSelector&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;#submit-btn&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;click&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;#submit-btn&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This works, but engineers must think through the waiting logic themselves. The more complex the page, the more likely the script will accumulate &lt;code&gt;waitForSelector&lt;/code&gt;, &lt;code&gt;waitForTimeout&lt;/code&gt;, and retry logic.&lt;/p&gt;
&lt;p&gt;Playwright’s Locator and auto-waiting mechanism is more complete:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-javascript&#34; data-lang=&#34;javascript&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;locator&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;#submit-btn&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;).&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;click&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Before clicking, Playwright checks whether the element is visible, actionable, stable, and not covered, then retries within a reasonable time. This matters a lot for modern React, Vue, and Next.js applications with heavy asynchronous rendering, and it reduces flaky tests.&lt;/p&gt;
&lt;h2 id=&#34;multi-account-workflows-and-context-isolation&#34;&gt;Multi-account workflows and context isolation
&lt;/h2&gt;&lt;p&gt;If you need to simulate multiple users, or let many tasks share one browser process while isolating Cookie, LocalStorage, and Session, &lt;code&gt;BrowserContext&lt;/code&gt; matters.&lt;/p&gt;
&lt;p&gt;Puppeteer also supports context isolation, but Playwright makes it a core capability. You can quickly create multiple independent contexts inside one browser instance. Each context behaves like a clean browser environment without repeatedly starting full browser processes.&lt;/p&gt;
&lt;p&gt;This is useful for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Multi-account concurrent tests.&lt;/li&gt;
&lt;li&gt;Multi-role workflow tests.&lt;/li&gt;
&lt;li&gt;Ecommerce, messaging, and collaborative document scenarios.&lt;/li&gt;
&lt;li&gt;Scraping tasks that need isolated Cookie and login state.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;tooling-differences&#34;&gt;Tooling differences
&lt;/h2&gt;&lt;p&gt;Playwright is the more engineering-oriented option. It includes many tools used in test development:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;codegen&lt;/code&gt;: operate on a webpage and generate scripts automatically.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Trace Viewer&lt;/code&gt;: replay screenshots, DOM snapshots, network requests, and console logs after failures.&lt;/li&gt;
&lt;li&gt;Test Runner: assertions, parallelism, retries, reports, and project matrices.&lt;/li&gt;
&lt;li&gt;Locator: element selection by text, role, label, test id, and CSS.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Puppeteer is more like a lightweight browser control library. It is not bloated, its API is direct, and it is easy to embed in scripts, server-side jobs, and custom automation flows.&lt;/p&gt;
&lt;p&gt;If you are building an enterprise-grade test system, Playwright’s tooling saves a lot of work. If you only need a Node.js script to convert webpages to PDFs or take scheduled screenshots, Puppeteer may be cleaner.&lt;/p&gt;
&lt;h2 id=&#34;where-browser-harness-fits&#34;&gt;Where browser-harness fits
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;browser-harness&lt;/code&gt; is not the same kind of tool as Playwright or Puppeteer.&lt;/p&gt;
&lt;p&gt;Playwright and Puppeteer mostly assume that humans write scripts. Engineers choose selectors, waiting conditions, assertions, and exception handling. They pursue determinism: the same script should produce the same result under the same page state.&lt;/p&gt;
&lt;p&gt;browser-harness mostly assumes that an AI agent operates the browser. Its goal is not to provide a huge high-level API, but to connect to real Chrome through CDP and expose screenshots, coordinate clicks, DOM, network requests, and helpers to the agent. The agent can observe the page, decide the next step, add helpers when capabilities are missing, and turn site experience into skills.&lt;/p&gt;
&lt;p&gt;That makes it better for open-ended tasks:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Log in to a backend and download invoices.&lt;/li&gt;
&lt;li&gt;Fill a group of forms in an internal system.&lt;/li&gt;
&lt;li&gt;Handle OA or SaaS pages that change often.&lt;/li&gt;
&lt;li&gt;Explore a page according to a user goal instead of running a fixed script.&lt;/li&gt;
&lt;li&gt;Give tools such as Claude Code and Codex CLI browser operation capability.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;three-way-comparison&#34;&gt;Three-way comparison
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Dimension&lt;/th&gt;
          &lt;th&gt;Puppeteer&lt;/th&gt;
          &lt;th&gt;Playwright&lt;/th&gt;
          &lt;th&gt;browser-harness&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Target user&lt;/td&gt;
          &lt;td&gt;Engineers&lt;/td&gt;
          &lt;td&gt;Engineers and test teams&lt;/td&gt;
          &lt;td&gt;AI Agent&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Main goal&lt;/td&gt;
          &lt;td&gt;Control Chrome&lt;/td&gt;
          &lt;td&gt;Stable cross-browser automation&lt;/td&gt;
          &lt;td&gt;Let agents operate real browsers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Script style&lt;/td&gt;
          &lt;td&gt;Hand-written JS/TS automation&lt;/td&gt;
          &lt;td&gt;Scripts plus test framework&lt;/td&gt;
          &lt;td&gt;User gives a goal, agent executes steps&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Element targeting&lt;/td&gt;
          &lt;td&gt;CSS, XPath, DOM API&lt;/td&gt;
          &lt;td&gt;Locator, text, role, CSS&lt;/td&gt;
          &lt;td&gt;Screenshots, coordinates, DOM, CDP&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Waiting&lt;/td&gt;
          &lt;td&gt;More manual control&lt;/td&gt;
          &lt;td&gt;Strong auto-waiting&lt;/td&gt;
          &lt;td&gt;Agent observes and adjusts&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Browser environment&lt;/td&gt;
          &lt;td&gt;Usually automated browser&lt;/td&gt;
          &lt;td&gt;Usually test browser&lt;/td&gt;
          &lt;td&gt;Often real Chrome&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Best fit&lt;/td&gt;
          &lt;td&gt;Chrome scripts, screenshots, PDF, lightweight scraping&lt;/td&gt;
          &lt;td&gt;E2E tests, cross-browser validation, complex SPA&lt;/td&gt;
          &lt;td&gt;AI assistants, open web tasks, real-account workflows&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;code-feel&#34;&gt;Code feel
&lt;/h2&gt;&lt;p&gt;Puppeteer feels closer to directly controlling Chrome:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-javascript&#34; data-lang=&#34;javascript&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;puppeteer&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;require&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;puppeteer&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;kr&#34;&gt;async&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;()&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;=&amp;gt;&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;puppeteer&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;launch&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;newPage&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;kr&#34;&gt;goto&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;https://example.com&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;waitForSelector&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;#submit-btn&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;click&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;#submit-btn&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;close&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;})();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Playwright emphasizes Locator and auto-waiting:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-javascript&#34; data-lang=&#34;javascript&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;chromium&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;require&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;playwright&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;kr&#34;&gt;async&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;()&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;=&amp;gt;&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;chromium&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;launch&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;newPage&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;kr&#34;&gt;goto&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;https://example.com&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;locator&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;#submit-btn&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;).&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;click&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;close&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;})();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;browser-harness feels completely different. You usually do not write a full script. You give a goal inside an agent environment:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Open the admin panel, download last month’s invoice, and organize it for reimbursement.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The agent then repeatedly uses browser-harness to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Take screenshots and understand the current page.&lt;/li&gt;
&lt;li&gt;Click a coordinate or locate an element.&lt;/li&gt;
&lt;li&gt;Enter text, upload files, and download files.&lt;/li&gt;
&lt;li&gt;Decide how to close popups.&lt;/li&gt;
&lt;li&gt;Add helper code when something is missing.&lt;/li&gt;
&lt;li&gt;Turn reusable flows into domain skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is not the style of traditional test scripts. It is the workflow of a browser agent.&lt;/p&gt;
&lt;h2 id=&#34;how-to-choose&#34;&gt;How to choose
&lt;/h2&gt;&lt;p&gt;Choose &lt;code&gt;Puppeteer&lt;/code&gt; when:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The project mainly runs in Node.js.&lt;/li&gt;
&lt;li&gt;You only need Chrome or Chromium.&lt;/li&gt;
&lt;li&gt;The task is screenshot, PDF generation, simple page scraping, or lightweight automation.&lt;/li&gt;
&lt;li&gt;You want a simple API, fewer dependencies, and more manual control.&lt;/li&gt;
&lt;li&gt;You rely deeply on Chrome DevTools Protocol.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Choose &lt;code&gt;Playwright&lt;/code&gt; when:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are building standard UI automation or E2E tests.&lt;/li&gt;
&lt;li&gt;You need Chromium, Firefox, and WebKit coverage.&lt;/li&gt;
&lt;li&gt;Your team’s main language may be Python, Java, or C#.&lt;/li&gt;
&lt;li&gt;The page is a complex SPA with many asynchronous states and potential flaky tests.&lt;/li&gt;
&lt;li&gt;You need codegen, Trace Viewer, test reports, and parallel testing.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Choose &lt;code&gt;browser-harness&lt;/code&gt; when:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are building or using AI agents.&lt;/li&gt;
&lt;li&gt;You want the model to operate a real browser like a human.&lt;/li&gt;
&lt;li&gt;The task steps are not fixed and require page-by-page judgment.&lt;/li&gt;
&lt;li&gt;The target site changes often, or has many popups, iframes, and shadow DOM.&lt;/li&gt;
&lt;li&gt;You want real web workflows handled by Claude Code, Codex CLI, or similar tools.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;conclusion&#34;&gt;Conclusion
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Playwright&lt;/code&gt; and &lt;code&gt;Puppeteer&lt;/code&gt; are browser automation tools whose core goal is to let humans write reliable scripts. Puppeteer is lighter and closer to Chrome. Playwright is more complete and better for cross-browser testing and complex frontend applications.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;browser-harness&lt;/code&gt; is a different direction. It is not designed to replace Playwright or Puppeteer for tests. It is designed to let AI agents control real browsers. It gives up some traditional script determinism in exchange for stronger adaptability in open-ended tasks.&lt;/p&gt;
&lt;p&gt;So the answer is not to pick only one. Choose by task layer:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Test engineering: prefer Playwright.&lt;/li&gt;
&lt;li&gt;Lightweight Chrome scripts: Puppeteer fits well.&lt;/li&gt;
&lt;li&gt;AI agents doing work on the web: look at browser-harness.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;browser-use/browser-harness: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Playwright documentation: &lt;a class=&#34;link&#34; href=&#34;https://playwright.dev/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://playwright.dev/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Puppeteer documentation: &lt;a class=&#34;link&#34; href=&#34;https://pptr.dev/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://pptr.dev/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Chrome DevTools Protocol: &lt;a class=&#34;link&#34; href=&#34;https://chromedevtools.github.io/devtools-protocol/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://chromedevtools.github.io/devtools-protocol/&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>What is browser-harness? A browser automation tool that lets AI agents control real Chrome</title>
        <link>https://knightli.com/en/2026/05/24/browser-use-browser-harness-ai-agent-browser-automation/</link>
        <pubDate>Sun, 24 May 2026 17:19:54 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/24/browser-use-browser-harness-ai-agent-browser-automation/</guid>
        <description>&lt;p&gt;&lt;code&gt;browser-use/browser-harness&lt;/code&gt; is a browser control tool for AI agents. Its goal is not to build another heavy automation framework, but to connect large language models directly to real Chrome through CDP, so they can browse pages, click, take screenshots, download files, upload files, and fill forms.&lt;/p&gt;
&lt;p&gt;The README describes the project as a thin, editable CDP harness for letting LLMs connect to a real browser. When a task lacks a helper, the agent can add code during execution and turn reusable experience into domain skills.&lt;/p&gt;
&lt;p&gt;This is worth watching because the browser is still the entry point for many real workflows: admin panels, SaaS dashboards, ecommerce sites, recruiting platforms, CRMs, reimbursement systems, cloud consoles, and document platforms. Many of them do not expose stable APIs, or their API permissions are harder to obtain than webpage access. Giving an agent reliable browser control is a way to fill that last mile of automation.&lt;/p&gt;
&lt;h2 id=&#34;what-browser-harness-is&#34;&gt;What browser-harness is
&lt;/h2&gt;&lt;p&gt;Structurally, browser-harness is closer to a browser runtime for agents than a browser extension for manual users.&lt;/p&gt;
&lt;p&gt;Its core ideas are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Connect directly to Chrome or Chromium.&lt;/li&gt;
&lt;li&gt;Control pages through a CDP WebSocket.&lt;/li&gt;
&lt;li&gt;Let agents combine screenshots, coordinate clicks, DOM inspection, network requests, and raw CDP.&lt;/li&gt;
&lt;li&gt;Put task-specific helpers in &lt;code&gt;agent-workspace/agent_helpers.py&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Store site-specific experience in &lt;code&gt;agent-workspace/domain-skills/&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Keep the core thin instead of turning it into a large automation platform.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The README says the core architecture is roughly four core files and about 1,000 lines of code, covering &lt;code&gt;install.md&lt;/code&gt;, &lt;code&gt;SKILL.md&lt;/code&gt;, &lt;code&gt;src/browser_harness/&lt;/code&gt;, &lt;code&gt;agent-workspace/agent_helpers.py&lt;/code&gt;, and &lt;code&gt;agent-workspace/domain-skills/&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;The point is not to ship built-in support for every website. The point is to give the agent an operation layer close enough to a real browser, so it can fill in missing capabilities for the task at hand.&lt;/p&gt;
&lt;h2 id=&#34;how-it-differs-from-traditional-browser-automation&#34;&gt;How it differs from traditional browser automation
&lt;/h2&gt;&lt;p&gt;Traditional browser automation usually revolves around testing frameworks such as Playwright, Selenium, or Puppeteer. They are good for deterministic scripts: open a page, locate an element, click it, and assert the result.&lt;/p&gt;
&lt;p&gt;browser-harness targets a different kind of work. A user gives a goal, and the agent explores the page, judges the state, handles popups, adds helpers, and reuses site knowledge. It emphasizes adaptation during interaction.&lt;/p&gt;
&lt;p&gt;The difference can be summarized like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Playwright is better when humans write scripts and agents run them.&lt;/li&gt;
&lt;li&gt;browser-harness is better when agents look at the page and act step by step.&lt;/li&gt;
&lt;li&gt;Traditional automation favors fixed flows.&lt;/li&gt;
&lt;li&gt;browser-harness favors open-ended tasks.&lt;/li&gt;
&lt;li&gt;Traditional scripts often depend on selectors.&lt;/li&gt;
&lt;li&gt;browser-harness encourages screenshots first, visible UI actions next, and DOM or CDP when needed.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This does not mean it replaces Playwright. For stable tests, Playwright is still more mature. browser-harness is valuable because it turns real webpages into an environment an agent can operate, especially when page structure is complex, steps are not fixed, and situational judgment matters.&lt;/p&gt;
&lt;h2 id=&#34;why-real-chrome-matters&#34;&gt;Why real Chrome matters
&lt;/h2&gt;&lt;p&gt;Many browser-agent tools use isolated headless browsers. That is simple to deploy and good for batch jobs, but it does not always reuse the user’s real working environment: login state, extensions, history, bookmarks, and daily browser setup.&lt;/p&gt;
&lt;p&gt;browser-harness supports local Chrome and the Browser Use cloud browser. For local browsers, it offers two approaches:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use &lt;code&gt;chrome://inspect/#remote-debugging&lt;/code&gt; to allow the current Chrome instance to be connected.&lt;/li&gt;
&lt;li&gt;Start an isolated profile with &lt;code&gt;--remote-debugging-port=9222 --user-data-dir=...&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you want an agent to help with tasks inside real accounts, the docs lean toward the first approach because it reuses everyday Chrome login state, extensions, and bookmarks. For unattended automation, or when you do not want popups to interrupt work, an isolated profile or cloud browser is usually safer.&lt;/p&gt;
&lt;p&gt;The trade-off is clear: real Chrome is closer to the user’s workflow, but the security boundary is more sensitive. An isolated browser is easier to control, but login and environment setup must be handled again.&lt;/p&gt;
&lt;h2 id=&#34;editable-helpers-and-domain-skills&#34;&gt;Editable helpers and domain skills
&lt;/h2&gt;&lt;p&gt;The most interesting part of browser-harness is that it designs “what the agent learns” into the project structure.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;agent-workspace/agent_helpers.py&lt;/code&gt; stores helpers that are created during tasks. For example, if an agent needs to upload a file and the existing tools are not enough, it can add a stable upload helper. The next time it sees a similar page, it does not have to start from scratch.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;agent-workspace/domain-skills/&lt;/code&gt; stores site-level experience. The README mentions areas such as LinkedIn outreach, Amazon ordering, and reimbursement systems. The project recommends letting agents generate these skills from real tasks instead of hand-writing them, because they should reflect actual page behavior.&lt;/p&gt;
&lt;p&gt;This fits browser automation well. The hard part is often not “how to click a button,” but:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;How a website redirects after login.&lt;/li&gt;
&lt;li&gt;Which popups block the main flow.&lt;/li&gt;
&lt;li&gt;Which selectors are stable and which are temporary class names.&lt;/li&gt;
&lt;li&gt;How uploads, downloads, iframes, shadow DOM, and cross-origin components behave.&lt;/li&gt;
&lt;li&gt;What hidden waits and asynchronous states exist in a specific backend.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If this knowledge only stays in one run log, it is quickly lost. Turning it into domain skills gives the agent a chance to improve over time.&lt;/p&gt;
&lt;h2 id=&#34;suitable-scenarios&#34;&gt;Suitable scenarios
&lt;/h2&gt;&lt;p&gt;browser-harness is better suited for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Operating real web admin panels for users.&lt;/li&gt;
&lt;li&gt;Completing repeated flows in systems without APIs.&lt;/li&gt;
&lt;li&gt;Personal or enterprise web tasks that depend heavily on login state.&lt;/li&gt;
&lt;li&gt;Complex interactions where screenshots are needed to judge page state.&lt;/li&gt;
&lt;li&gt;Agents that need to add tools and site knowledge while running.&lt;/li&gt;
&lt;li&gt;Multiple sub-agents each using an isolated browser.&lt;/li&gt;
&lt;li&gt;Researching browser-agent runtime design.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Concrete examples include organizing web tables, submitting internal forms, downloading invoices, uploading files, handling reimbursement workflows, checking order status, configuring SaaS dashboards, and extracting information from logged-in pages.&lt;/p&gt;
&lt;p&gt;If the task is only to fetch static pages, a browser may not be needed. The project’s own &lt;code&gt;SKILL.md&lt;/code&gt; also notes that static pages can often be fetched through HTTP in bulk. Browsers should be reserved for tasks that truly need page state, login state, and interaction.&lt;/p&gt;
&lt;h2 id=&#34;risks-to-watch&#34;&gt;Risks to watch
&lt;/h2&gt;&lt;p&gt;Letting an AI agent control real Chrome is powerful, but risky.&lt;/p&gt;
&lt;p&gt;First, the permission boundary must be clear. Real Chrome may contain email, payment dashboards, cloud consoles, company systems, and personal accounts. Once an agent can operate the browser, it effectively has access to part of those webpage permissions.&lt;/p&gt;
&lt;p&gt;Second, do not hand credentials to the model. For login pages, payment verification, and second confirmations, the user should handle the sensitive step. The agent can wait for login to finish, but it should not read or enter passwords, verification codes, or payment details from screenshots.&lt;/p&gt;
&lt;p&gt;Third, automation is not the same as delegation. Many web tasks look simple but may involve risk controls, mistaken clicks, data deletion, bulk submissions, or irreversible operations. Start with read-only, low-risk, reversible workflows.&lt;/p&gt;
&lt;p&gt;Fourth, domain skills should not leak private data. Site knowledge can be shared, but account names, internal URLs, customer data, coordinate logs, and one-off task details should not be written into skills.&lt;/p&gt;
&lt;p&gt;Fifth, choose the browser connection mode carefully. Reusing daily Chrome is convenient when login state matters. For long-running automation, an isolated profile or cloud browser is more controllable.&lt;/p&gt;
&lt;h2 id=&#34;why-it-matters-for-ai-agent-tools&#34;&gt;Why it matters for AI agent tools
&lt;/h2&gt;&lt;p&gt;browser-harness represents a pragmatic direction for agent tooling: build less platform, and give the model a direct interface to the real environment.&lt;/p&gt;
&lt;p&gt;Many agents fail at two ends. On one end, the model can reason but cannot touch the real page. On the other, automation frameworks are powerful but require humans to hard-code the flow. browser-harness tries to connect the two: the browser holds real-world state, while the agent observes, decides, and adds tools.&lt;/p&gt;
&lt;p&gt;That is also the meaning of a self-improving harness. It does not mean the agent magically becomes smarter. It means reusable operation experience is placed into the project structure, so the next task can avoid some of the same detours.&lt;/p&gt;
&lt;p&gt;For developers, its value is mainly in three areas:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A browser control layer for personal agents.&lt;/li&gt;
&lt;li&gt;A reference for studying browser automation and agent workflows.&lt;/li&gt;
&lt;li&gt;An experimental framework for turning web workflows into reusable skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is not the answer to every browser automation problem, but it points in a clear direction: when agents truly help people do work, the tool layer should not only call APIs. It should also understand and operate the web interfaces people use every day.&lt;/p&gt;
&lt;h2 id=&#34;conclusion&#34;&gt;Conclusion
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;browser-use/browser-harness&lt;/code&gt; is interesting not because it wraps many advanced features, but because it brings several key browser-agent questions into focus: real Chrome, CDP, screenshot-driven control, editable helpers, site skill accumulation, and user permission boundaries.&lt;/p&gt;
&lt;p&gt;If you are writing stable end-to-end tests, Playwright or Selenium is still a better fit. If you want agents such as Codex or Claude Code to handle real webpage tasks, browser-harness offers an entry point that matches how agents work.&lt;/p&gt;
&lt;p&gt;In practice, start with low-risk tasks: let it read pages, take screenshots, and extract information first. Then gradually try clicking and submitting. Once it can reliably understand page state, you can consider giving it longer workflows.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;GitHub project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;README: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/README.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/README.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Installation guide: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/install.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/install.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Usage guide: &lt;a class=&#34;link&#34; href=&#34;https://github.com/browser-use/browser-harness/blob/main/SKILL.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/browser-use/browser-harness/blob/main/SKILL.md&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Gemini 3.5 Flash positioning and strengths: why it fits high-frequency, multimodal, low-latency use cases</title>
        <link>https://knightli.com/en/2026/05/24/gemini-35-flash-positioning-advantages-low-latency-multimodal/</link>
        <pubDate>Sun, 24 May 2026 08:43:24 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/24/gemini-35-flash-positioning-advantages-low-latency-multimodal/</guid>
        <description>&lt;p&gt;The keywords for &lt;code&gt;Gemini 3.5 Flash&lt;/code&gt; are not &amp;ldquo;the strongest,&amp;rdquo; but &amp;ldquo;high-frequency, fast, cost-efficient, and easy to integrate.&amp;rdquo; It is more like the workhorse model in the Gemini family: it may not be the model you use for the hardest reasoning tasks, but it is well suited for real production workloads such as Q&amp;amp;A, summarization, customer support, content processing, multimodal understanding, lightweight coding assistance, and automated workflows.&lt;/p&gt;
&lt;p&gt;The key to understanding Flash is not to treat it as a replacement for a Pro-class flagship model. It is better understood as a model tier optimized for throughput and response speed. For developers and enterprises, the real cost of many AI applications is not only the strongest single response, but the latency, stability, price, and context-handling ability across thousands or millions of daily requests.&lt;/p&gt;
&lt;h2 id=&#34;product-positioning&#34;&gt;Product positioning
&lt;/h2&gt;&lt;p&gt;The Gemini family usually separates models into different tiers. Flagship models handle more complex reasoning, planning, and difficult tasks. Flash models emphasize speed, cost, and large-scale invocation.&lt;/p&gt;
&lt;p&gt;The positioning of &lt;code&gt;Gemini 3.5 Flash&lt;/code&gt; can be summarized as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;More suitable than Pro for high-frequency calls.&lt;/li&gt;
&lt;li&gt;More capable than tiny lightweight models for complex input.&lt;/li&gt;
&lt;li&gt;Optimized for low latency and high throughput.&lt;/li&gt;
&lt;li&gt;Suitable for multimodal input and long-context processing.&lt;/li&gt;
&lt;li&gt;Better as the default model inside applications, not only as a model for rare difficult requests.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This type of model is best for tasks that run many times every day. Its value is not just answer quality in one call, but whether it can reliably process large amounts of text, images, audio, video, or structured information at manageable cost.&lt;/p&gt;
&lt;h2 id=&#34;why-flash-matters&#34;&gt;Why Flash matters
&lt;/h2&gt;&lt;p&gt;When AI products move into production, a practical issue appears: the strongest model is useful, but not every request deserves the strongest model.&lt;/p&gt;
&lt;p&gt;For example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A user asks an ordinary customer-support question.&lt;/li&gt;
&lt;li&gt;A system summarizes a meeting transcript.&lt;/li&gt;
&lt;li&gt;A backend classifies a batch of tickets.&lt;/li&gt;
&lt;li&gt;An app explains an uploaded image.&lt;/li&gt;
&lt;li&gt;An automation extracts fields from an email.&lt;/li&gt;
&lt;li&gt;An agent reads a set of documents before deciding the next step.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These tasks need models that are reliable, cheap, and fast, but they do not always require the full reasoning power of a flagship model. That is where Flash matters: it puts &amp;ldquo;strong enough&amp;rdquo; and &amp;ldquo;fast enough&amp;rdquo; in the same place.&lt;/p&gt;
&lt;p&gt;If an AI application serves many users, the default model cannot be chosen only by peak capability. Average request cost, response speed, concurrency, and failure rate matter just as much. Flash is an application-layer model for that reality.&lt;/p&gt;
&lt;h2 id=&#34;advantage-1-low-latency-and-high-throughput&#34;&gt;Advantage 1: low latency and high throughput
&lt;/h2&gt;&lt;p&gt;The most direct advantage of Flash is speed.&lt;/p&gt;
&lt;p&gt;For chat products, retrieval-augmented search, support bots, real-time writing assistance, and agent workflows, latency directly affects user experience. Users may not know model parameters or benchmark results, but they immediately feel whether the product keeps them waiting.&lt;/p&gt;
&lt;p&gt;Low latency brings several benefits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Conversations feel more real-time.&lt;/li&gt;
&lt;li&gt;Multi-step tool calls do not slow down as much.&lt;/li&gt;
&lt;li&gt;Agents can make intermediate decisions more often.&lt;/li&gt;
&lt;li&gt;Backend batch processing finishes faster.&lt;/li&gt;
&lt;li&gt;Product teams can place AI features into more small workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This matters especially for agent applications. A model does not answer only once; it repeatedly judges, calls tools, reads context, and generates the next action. Lower single-call latency improves the whole chain.&lt;/p&gt;
&lt;h2 id=&#34;advantage-2-better-cost-for-scale&#34;&gt;Advantage 2: better cost for scale
&lt;/h2&gt;&lt;p&gt;Another core value of Flash is cost.&lt;/p&gt;
&lt;p&gt;When enterprises and developers put AI applications into production, they usually care about three questions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;How much does each call cost?&lt;/li&gt;
&lt;li&gt;How many calls happen per day?&lt;/li&gt;
&lt;li&gt;Are cost and latency controllable at peak concurrency?&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If a task runs hundreds of thousands of times per day, even a small per-call price gap becomes large over time. Flash-style models are designed so that most requests do not have to go directly to the most expensive and heaviest model.&lt;/p&gt;
&lt;p&gt;A common pattern is tiered routing:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ordinary requests go to Flash by default.&lt;/li&gt;
&lt;li&gt;Difficult problems, complex planning, and long-chain reasoning escalate to Pro.&lt;/li&gt;
&lt;li&gt;Simple classification or fixed-format extraction can go to even lighter models.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This lets an AI system keep high-end capability while controlling everyday cost.&lt;/p&gt;
&lt;h2 id=&#34;advantage-3-multimodal-input-fits-real-applications&#34;&gt;Advantage 3: multimodal input fits real applications
&lt;/h2&gt;&lt;p&gt;The Gemini family has long emphasized multimodal capability. Flash is valuable because it is not only for text requests; it can also handle images, audio, video, documents, and related inputs.&lt;/p&gt;
&lt;p&gt;That matters in real products. Business data is often not pure text:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Users upload screenshots for support.&lt;/li&gt;
&lt;li&gt;Customer support needs to understand a photo of a problem.&lt;/li&gt;
&lt;li&gt;Education products process images of exercises.&lt;/li&gt;
&lt;li&gt;Content platforms analyze video clips.&lt;/li&gt;
&lt;li&gt;Office workflows read PDFs, spreadsheets, and presentations.&lt;/li&gt;
&lt;li&gt;E-commerce products analyze product images and user descriptions.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If multimodal understanding depends only on expensive flagship models, many high-frequency scenarios are hard to scale. Flash brings multimodal understanding into a model tier better suited for large-scale invocation.&lt;/p&gt;
&lt;h2 id=&#34;advantage-4-long-context-makes-it-good-at-reading-material&#34;&gt;Advantage 4: long context makes it good at reading material
&lt;/h2&gt;&lt;p&gt;Long context is an important Gemini-family capability. For Flash, long context is not simply about stuffing everything into the prompt; it lets the model handle more information-organization tasks.&lt;/p&gt;
&lt;p&gt;Examples include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Summarizing long documents.&lt;/li&gt;
&lt;li&gt;Reading product manuals.&lt;/li&gt;
&lt;li&gt;Analyzing meeting notes.&lt;/li&gt;
&lt;li&gt;Organizing multi-page PDFs.&lt;/li&gt;
&lt;li&gt;Comparing contracts or proposals.&lt;/li&gt;
&lt;li&gt;Providing agents with large task backgrounds.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Long context combined with lower cost is well suited for workflows that first read a lot of material and then produce actionable results. Flash does not need to solve extremely hard reasoning tasks every time. It can include more context in one pass, which is useful for office work, customer support, knowledge bases, and developer assistance.&lt;/p&gt;
&lt;h2 id=&#34;advantage-5-suitable-as-a-default-model&#34;&gt;Advantage 5: suitable as a default model
&lt;/h2&gt;&lt;p&gt;Many AI products need a &amp;ldquo;default model.&amp;rdquo; It does not have to be the most expensive or strongest, but it must satisfy several conditions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Stable quality on most questions.&lt;/li&gt;
&lt;li&gt;Fast response.&lt;/li&gt;
&lt;li&gt;Manageable cost.&lt;/li&gt;
&lt;li&gt;Ability to handle multimodal input.&lt;/li&gt;
&lt;li&gt;Sufficient long-context support.&lt;/li&gt;
&lt;li&gt;Easy API and product integration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is where &lt;code&gt;Gemini 3.5 Flash&lt;/code&gt; has an advantage. It is suitable as the default entry point: handle most requests first, and route complex tasks to stronger models when needed.&lt;/p&gt;
&lt;p&gt;This pattern will become increasingly common. Future AI systems will not simply &amp;ldquo;choose one model&amp;rdquo;; they will use Flash as the workhorse, Pro as the escalation path, and smaller models for edge tasks.&lt;/p&gt;
&lt;h2 id=&#34;suitable-scenarios&#34;&gt;Suitable scenarios
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Gemini 3.5 Flash&lt;/code&gt; is well suited for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Customer-support Q&amp;amp;A and answers after knowledge-base retrieval.&lt;/li&gt;
&lt;li&gt;Long-document summaries, report organization, and meeting notes.&lt;/li&gt;
&lt;li&gt;Multimodal understanding of images, screenshots, PDFs, and video clips.&lt;/li&gt;
&lt;li&gt;Real-time AI assistants inside apps.&lt;/li&gt;
&lt;li&gt;Content moderation, classification, and tag generation.&lt;/li&gt;
&lt;li&gt;Information extraction from emails, tickets, and forms.&lt;/li&gt;
&lt;li&gt;Intermediate decisions and context compression in agent workflows.&lt;/li&gt;
&lt;li&gt;Code explanation, lightweight fix suggestions, and documentation generation.&lt;/li&gt;
&lt;li&gt;Education products for exercise explanation and study assistance.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These scenarios share the same traits: high request volume, sensitivity to user wait time, complex input types, and no need for flagship-level deep reasoning every time.&lt;/p&gt;
&lt;h2 id=&#34;where-flash-should-not-be-the-only-model&#34;&gt;Where Flash should not be the only model
&lt;/h2&gt;&lt;p&gt;Flash is not universal. It is optimized for high-frequency and low-latency use, but that does not mean every problem should use only Flash.&lt;/p&gt;
&lt;p&gt;The following scenarios still fit stronger Pro-class models better, or at least require tiered routing:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Complex mathematics and rigorous proofs.&lt;/li&gt;
&lt;li&gt;Long-chain planning and multi-step strategic reasoning.&lt;/li&gt;
&lt;li&gt;High-risk legal, medical, or financial judgment.&lt;/li&gt;
&lt;li&gt;Deep refactoring plans for large codebases.&lt;/li&gt;
&lt;li&gt;Complex agent tasks requiring high reliability.&lt;/li&gt;
&lt;li&gt;Professional reports with extremely low tolerance for hallucination.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A safer strategy is to let Flash handle, judge, and organize first; when task complexity rises, escalate to a stronger model.&lt;/p&gt;
&lt;h2 id=&#34;relationship-with-pro-class-models&#34;&gt;Relationship with Pro-class models
&lt;/h2&gt;&lt;p&gt;Flash and Pro should not be understood as &amp;ldquo;which one replaces the other.&amp;rdquo; They have different jobs.&lt;/p&gt;
&lt;p&gt;Flash is the everyday workhorse:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Fast.&lt;/li&gt;
&lt;li&gt;Cost-friendly.&lt;/li&gt;
&lt;li&gt;Suitable for high concurrency.&lt;/li&gt;
&lt;li&gt;Good for multimodal and long-context applications.&lt;/li&gt;
&lt;li&gt;Suitable for default product flows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Pro is the hard-task model:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Better for complex reasoning.&lt;/li&gt;
&lt;li&gt;Better for difficult planning.&lt;/li&gt;
&lt;li&gt;Better for high-value requests.&lt;/li&gt;
&lt;li&gt;Better for small numbers of important deep-analysis tasks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Good AI products usually combine the two instead of choosing only one.&lt;/p&gt;
&lt;h2 id=&#34;how-developers-should-use-it&#34;&gt;How developers should use it
&lt;/h2&gt;&lt;p&gt;If you want to integrate Gemini 3.5 Flash into a product, consider these patterns:&lt;/p&gt;
&lt;p&gt;First, use it as the default model. Most ordinary requests go to Flash first, giving both speed and cost control.&lt;/p&gt;
&lt;p&gt;Second, design model routing. When Flash identifies a task as complex, high-risk, or requiring deep reasoning, escalate to Pro.&lt;/p&gt;
&lt;p&gt;Third, use it for context compression. Before an agent executes a task, Flash can summarize documents, extract key facts, and generate structured context.&lt;/p&gt;
&lt;p&gt;Fourth, make multimodal input part of the normal workflow. Images, screenshots, PDFs, audio, and video should not only be edge features; they can become default input types.&lt;/p&gt;
&lt;p&gt;Fifth, evaluate with your own data. Do not rely only on official benchmarks. Test with your support questions, documents, code, images, and business workflows to decide which tasks Flash handles well and which need escalation.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The core positioning of &lt;code&gt;Gemini 3.5 Flash&lt;/code&gt; is a multimodal workhorse model for high-frequency real applications. Its advantage is not replacing Pro-class flagship models, but placing speed, cost, long context, and multimodal ability into a tier better suited for large-scale invocation.&lt;/p&gt;
&lt;p&gt;For developers, the most important part of Flash is not a single benchmark, but a product architecture shift: the default model can be faster, cheaper, and better at reading complex inputs; harder tasks can still escalate to stronger models. This keeps user experience good while controlling cost.&lt;/p&gt;
&lt;p&gt;If Pro is the heavy tool for difficult problems, Flash is the main tool running on the production line every day. In real AI products, the latter is often what users experience most.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Google official blog: &lt;a class=&#34;link&#34; href=&#34;https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Google DeepMind Gemini Flash: &lt;a class=&#34;link&#34; href=&#34;https://deepmind.google/en/models/gemini/flash/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://deepmind.google/en/models/gemini/flash/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;User-provided Zhihu discussion link: &lt;a class=&#34;link&#34; href=&#34;https://www.zhihu.com/question/2040529179641385344/answer/2040531897613285214&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.zhihu.com/question/2040529179641385344/answer/2040531897613285214&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Claude Code has a plugin marketplace now: what you can install, how to install it, and what to watch out for</title>
        <link>https://knightli.com/en/2026/05/23/claude-plugins-official-claude-code-plugin-directory/</link>
        <pubDate>Sat, 23 May 2026 19:03:30 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/23/claude-plugins-official-claude-code-plugin-directory/</guid>
        <description>&lt;p&gt;&lt;code&gt;anthropics/claude-plugins-official&lt;/code&gt; is the official Claude Code plugin directory managed by Anthropic. It is not just a normal code repository. It is a marketplace that Claude Code&amp;rsquo;s plugin system can use directly, collecting Claude Code plugins maintained or curated by Anthropic.&lt;/p&gt;
&lt;p&gt;This repository matters because Claude Code is moving from &amp;ldquo;an AI coding command-line tool&amp;rdquo; toward &amp;ldquo;an extensible development environment.&amp;rdquo; Plugins can package Skills, Agents, Hooks, MCP servers, LSP servers, background monitors, and default settings so teams and communities can distribute them in a consistent way.&lt;/p&gt;
&lt;h2 id=&#34;what-is-this-repository&#34;&gt;What is this repository?
&lt;/h2&gt;&lt;p&gt;The README describes it directly: it is a curated directory of high-quality Claude Code plugins.&lt;/p&gt;
&lt;p&gt;The directory is mainly split into two parts:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;/plugins&lt;/code&gt;: plugins developed and maintained internally by Anthropic.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;/external_plugins&lt;/code&gt;: third-party plugins from partners and the community.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In other words, it contains both official capabilities and curated external ecosystem entries. For regular users, the direct value is that plugins can be discovered and installed through Claude Code&amp;rsquo;s &lt;code&gt;/plugin&lt;/code&gt; system. For developers, it is a useful window into Claude Code&amp;rsquo;s plugin format and ecosystem direction.&lt;/p&gt;
&lt;h2 id=&#34;how-to-install-plugins&#34;&gt;How to install plugins
&lt;/h2&gt;&lt;p&gt;The README gives a simple installation command. You can install directly through Claude Code&amp;rsquo;s plugin system:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/plugin install {plugin-name}@claude-plugins-official
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You can also open the plugin discovery entry inside Claude Code:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/plugin &amp;gt; Discover
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The key part is &lt;code&gt;@claude-plugins-official&lt;/code&gt;, which refers to the official plugin marketplace. According to the Claude Code documentation, &lt;code&gt;claude-plugins-official&lt;/code&gt; is the official marketplace maintained by Anthropic and is available by default in Claude Code installations.&lt;/p&gt;
&lt;h2 id=&#34;what-does-a-plugin-look-like&#34;&gt;What does a plugin look like?
&lt;/h2&gt;&lt;p&gt;The repository README shows a standard plugin structure:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;plugin-name/
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;├── .claude-plugin/
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;│   └── plugin.json
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;├── .mcp.json
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;├── commands/
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;├── agents/
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;├── skills/
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;└── README.md
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;.claude-plugin/plugin.json&lt;/code&gt; is the metadata file, usually declaring the plugin name, description, version, author, and related fields. Other directories are optional and depend on what the plugin provides:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;skills/&lt;/code&gt;: instructions for skills Claude can invoke automatically.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;commands/&lt;/code&gt;: slash commands.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;agents/&lt;/code&gt;: custom agent definitions.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;hooks/&lt;/code&gt;: event-triggered logic.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;.mcp.json&lt;/code&gt;: MCP server configuration.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;.lsp.json&lt;/code&gt;: language server configuration.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;monitors/&lt;/code&gt;: background monitor configuration.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;settings.json&lt;/code&gt;: default settings shipped with the plugin.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This means a Claude Code plugin is not one single kind of extension. It is a packaging format. A plugin can be a tiny command, or it can be an entire workflow for a specific stack.&lt;/p&gt;
&lt;h2 id=&#34;what-directions-are-already-in-the-official-directory&#34;&gt;What directions are already in the official directory?
&lt;/h2&gt;&lt;p&gt;The &lt;code&gt;/plugins&lt;/code&gt; directory already covers many development scenarios, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;LSP plugins: &lt;code&gt;typescript-lsp&lt;/code&gt;, &lt;code&gt;pyright-lsp&lt;/code&gt;, &lt;code&gt;rust-analyzer-lsp&lt;/code&gt;, &lt;code&gt;gopls-lsp&lt;/code&gt;, &lt;code&gt;clangd-lsp&lt;/code&gt;, &lt;code&gt;csharp-lsp&lt;/code&gt;, &lt;code&gt;jdtls-lsp&lt;/code&gt;, &lt;code&gt;kotlin-lsp&lt;/code&gt;, &lt;code&gt;lua-lsp&lt;/code&gt;, &lt;code&gt;php-lsp&lt;/code&gt;, &lt;code&gt;ruby-lsp&lt;/code&gt;, &lt;code&gt;swift-lsp&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Programming workflows: &lt;code&gt;code-review&lt;/code&gt;, &lt;code&gt;feature-dev&lt;/code&gt;, &lt;code&gt;code-modernization&lt;/code&gt;, &lt;code&gt;code-simplifier&lt;/code&gt;, &lt;code&gt;commit-commands&lt;/code&gt;, &lt;code&gt;pr-review-toolkit&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Claude Code configuration and plugin development: &lt;code&gt;claude-code-setup&lt;/code&gt;, &lt;code&gt;claude-md-management&lt;/code&gt;, &lt;code&gt;plugin-dev&lt;/code&gt;, &lt;code&gt;skill-creator&lt;/code&gt;, &lt;code&gt;mcp-server-dev&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Output styles and specialized capabilities: &lt;code&gt;explanatory-output-style&lt;/code&gt;, &lt;code&gt;learning-output-style&lt;/code&gt;, &lt;code&gt;security-guidance&lt;/code&gt;, &lt;code&gt;session-report&lt;/code&gt;, &lt;code&gt;math-olympiad&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The &lt;code&gt;/external_plugins&lt;/code&gt; directory points toward more third-party tools and services, such as &lt;code&gt;github&lt;/code&gt;, &lt;code&gt;gitlab&lt;/code&gt;, &lt;code&gt;linear&lt;/code&gt;, &lt;code&gt;asana&lt;/code&gt;, &lt;code&gt;firebase&lt;/code&gt;, &lt;code&gt;playwright&lt;/code&gt;, &lt;code&gt;terraform&lt;/code&gt;, &lt;code&gt;context7&lt;/code&gt;, &lt;code&gt;serena&lt;/code&gt;, &lt;code&gt;telegram&lt;/code&gt;, and &lt;code&gt;discord&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Together, these plugins suggest a trend: Claude Code does not only want to edit files. It also wants to connect with code intelligence, project management, cloud services, testing, infrastructure, and team collaboration tools.&lt;/p&gt;
&lt;h2 id=&#34;why-the-plugin-system-matters&#34;&gt;Why the plugin system matters
&lt;/h2&gt;&lt;p&gt;Previously, many Claude Code customizations could live inside a project&amp;rsquo;s &lt;code&gt;.claude/&lt;/code&gt; directory, such as commands, agents, skills, or hooks. That works for personal workflows or one project, but it is not ideal for reuse across projects or consistent team distribution.&lt;/p&gt;
&lt;p&gt;Plugins solve the reuse and distribution problem:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The same configuration can be installed across multiple projects.&lt;/li&gt;
&lt;li&gt;Commands and skills are namespaced, reducing conflicts.&lt;/li&gt;
&lt;li&gt;Plugins can be published and updated through a marketplace.&lt;/li&gt;
&lt;li&gt;Teams can package internal best practices as standard plugins.&lt;/li&gt;
&lt;li&gt;The community can maintain extensions for specific frameworks, languages, or services.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This resembles VS Code extensions, JetBrains plugins, or browser extensions. Once a tool has a stable plugin ecosystem, it is no longer just a single product; it starts becoming a platform.&lt;/p&gt;
&lt;h2 id=&#34;what-does-it-mean-for-developers&#34;&gt;What does it mean for developers?
&lt;/h2&gt;&lt;p&gt;If you are only a Claude Code user, the most practical use of this repository is finding plugins. For example, if you need LSP support for TypeScript, Python, Rust, or Go, you can first check whether the official directory already has the corresponding plugin. If you need PR review, commit helpers, or code modernization workflows, the official plugins are also a good starting point.&lt;/p&gt;
&lt;p&gt;If you develop plugins, this repository is more like a reference library. You can study its directory layout, &lt;code&gt;plugin.json&lt;/code&gt; style, README structure, and how Anthropic combines skills, agents, MCP, LSP, and hooks.&lt;/p&gt;
&lt;p&gt;The Claude Code documentation also gives a clear guideline: use &lt;code&gt;.claude/&lt;/code&gt; for single-project customization, but turn it into a plugin when you want to share it with a team, reuse it across projects, version releases, or distribute it through a marketplace.&lt;/p&gt;
&lt;h2 id=&#34;security-boundaries-matter&#34;&gt;Security boundaries matter
&lt;/h2&gt;&lt;p&gt;The repository README opens with an important warning: make sure you trust a plugin before installing, updating, or using it. The reason is simple. A plugin may include MCP servers, files, scripts, or other software. Anthropic maintaining the directory does not mean every plugin will behave exactly as expected in your local environment.&lt;/p&gt;
&lt;p&gt;In practice, it is worth doing at least a few checks:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Read the plugin homepage and README before installing.&lt;/li&gt;
&lt;li&gt;Check whether it includes &lt;code&gt;.mcp.json&lt;/code&gt;, hooks, executable scripts, or background monitors.&lt;/li&gt;
&lt;li&gt;Be extra careful with plugins that access accounts, code repositories, chat tools, or cloud services.&lt;/li&gt;
&lt;li&gt;Test plugins in a sandbox or test repository before enabling them in important projects.&lt;/li&gt;
&lt;li&gt;In team environments, review plugin sources and versions centrally.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;AI coding plugins often have much higher privileges than ordinary editor themes. They may read project files, call external services, start local commands, or affect commit and deployment flows. Treat the trust boundary more strictly than &amp;ldquo;installing a small tool.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;relationship-with-the-community-marketplace&#34;&gt;Relationship with the community marketplace
&lt;/h2&gt;&lt;p&gt;The Claude Code documentation says Anthropic maintains two public plugin marketplaces:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;claude-plugins-official&lt;/code&gt;: a curated set of plugins maintained by Anthropic.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;claude-community&lt;/code&gt;: a community plugin directory where third-party submissions go through review.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;They have different roles. Community plugins can enter the review pipeline through submission forms. The official directory is curated separately by Anthropic, with no public application process. In short, &lt;code&gt;claude-plugins-official&lt;/code&gt; is closer to an official curated directory, while &lt;code&gt;claude-community&lt;/code&gt; is the open community directory.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The significance of &lt;code&gt;anthropics/claude-plugins-official&lt;/code&gt; is not merely that another GitHub repository exists. It shows Claude Code&amp;rsquo;s extension mechanism becoming platform-like: Skills, Agents, Hooks, MCP, LSP, background monitors, and default settings can now be packaged, installed, updated, and distributed.&lt;/p&gt;
&lt;p&gt;For individual developers, the official plugin directory can lower the cost of configuring Claude Code. For teams, it offers a way to standardize internal workflows. For plugin developers, it shows the plugin structure and ecosystem direction Anthropic is endorsing.&lt;/p&gt;
&lt;p&gt;The next thing to watch is not just any single plugin, but whether the Claude Code plugin ecosystem forms stable layers: official curated plugins, community plugins, private team marketplaces, and specialized extensions for mainstream languages, frameworks, and SaaS services. If that path works, Claude Code will look more and more like a programmable AI development platform, not just a command-line assistant.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;GitHub project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/anthropics/claude-plugins-official&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/anthropics/claude-plugins-official&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Claude Code plugin documentation: &lt;a class=&#34;link&#34; href=&#34;https://code.claude.com/docs/en/plugins&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://code.claude.com/docs/en/plugins&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GitHub AI Open Source Project Categories: From Coding Agent to RAG Knowledge Bases</title>
        <link>https://knightli.com/en/2026/05/21/github-ai-projects-site-statistics/</link>
        <pubDate>Thu, 21 May 2026 08:53:13 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/21/github-ai-projects-site-statistics/</guid>
        <description>&lt;p&gt;This page groups GitHub AI projects by application direction, covering AI coding and Coding Agents, agent skills and workflows, RAG and knowledge bases, multimodal creation, local models and inference, vertical applications and automation, and AI application development infrastructure. New projects can be added later using the same structure.&lt;/p&gt;
&lt;h2 id=&#34;category-summary&#34;&gt;Category Summary
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Category&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Projects&lt;/th&gt;
          &lt;th&gt;Who Should Start Here&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;AI Coding and Coding Agents&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;22&lt;/td&gt;
          &lt;td&gt;Users who often work with Claude Code, Codex, Cursor, terminal agents, or repository automation&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Agent Skills and Workflows&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;7&lt;/td&gt;
          &lt;td&gt;Users who want to standardize AI coding, research, or content workflows&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;RAG, Knowledge Bases, and Memory&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;7&lt;/td&gt;
          &lt;td&gt;Users who need document retrieval, knowledge bases, long-term memory, web crawling, or structured extraction&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Vertical Applications and Automation&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;7&lt;/td&gt;
          &lt;td&gt;Users looking at finance, trading, Xianyu monitoring, desktop control, browser automation, and other applied scenarios&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Multimodal and Content Creation&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;5&lt;/td&gt;
          &lt;td&gt;Users working on images, video, transcription, prompt libraries, and content distribution&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;AI Application Development Infrastructure&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;5&lt;/td&gt;
          &lt;td&gt;Developers building AI apps, browser automation, or Prompt/MCP toolchains&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Local Models and Inference&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;1&lt;/td&gt;
          &lt;td&gt;Users interested in local DeepSeek, inference engines, and hardware adaptation&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;The distribution shows several high-frequency directions in current AI open source projects: AI coding tools dominate, followed by agent workflows, RAG knowledge bases, and concrete application scenarios. Pure model inference projects are fewer here because much local deployment content is organized around models, GPUs, or deployment plans rather than a single GitHub project.&lt;/p&gt;
&lt;h2 id=&#34;ai-coding-and-coding-agents&#34;&gt;AI Coding and Coding Agents
&lt;/h2&gt;&lt;p&gt;This group focuses on code understanding, code modification, engineering workflows, and terminal agents. It is the largest group, with &lt;strong&gt;22&lt;/strong&gt; projects.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Ralph&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/27/ralph-autonomous-agent-loop-claude-code-amp/&#34; &gt;Ralph: turning Claude Code and Amp into an autonomous development loop&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/snarktank/ralph&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;snarktank/ralph&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Drive Claude Code / Amp through PRD, planning, execution, and review loops&lt;/td&gt;
          &lt;td&gt;Users who want a straighter agent coding process&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude-Mem&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/claude-mem-persistent-memory-for-claude-code/&#34; &gt;Claude-Mem: long-term cross-session memory for Claude Code&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/thedotmack/claude-mem&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;thedotmack/claude-mem&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Add cross-session memory to Claude Code&lt;/td&gt;
          &lt;td&gt;Heavy Claude Code users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Code Hooks Mastery&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/claude-code-hooks-mastery-guide/&#34; &gt;Claude Code Hooks Mastery: getting started with 13 hooks lifecycle stages&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/disler/claude-code-hooks-mastery&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;disler/claude-code-hooks-mastery&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Learn Claude Code hooks lifecycle and automation control&lt;/td&gt;
          &lt;td&gt;Users who want to customize Claude Code workflows&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Compound Engineering Plugin&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/compound-engineering-plugin-ai-coding-workflow/&#34; &gt;Compound Engineering Plugin: turning AI coding into planning, execution, and review loops&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EveryInc/compound-engineering-plugin&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;EveryInc/compound-engineering-plugin&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Split AI coding into planning, execution, and review cycles&lt;/td&gt;
          &lt;td&gt;Users who care about engineering discipline in AI coding&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;free-claude-code&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/free-claude-code-anthropic-compatible-proxy/&#34; &gt;free-claude-code: connecting Claude Code to OpenRouter, DeepSeek, and local models&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Alishahryar1/free-claude-code&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Alishahryar1/free-claude-code&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Use a proxy to connect Claude Code to different model backends&lt;/td&gt;
          &lt;td&gt;Users who want to reduce Claude Code cost&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Hermes Agent&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/12/hermes-agent-intro-guide-vs-openclaw/&#34; &gt;What is Hermes Agent: overview, strengths, quick start, and OpenClaw comparison&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/NousResearch/hermes-agent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;NousResearch/hermes-agent&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Local agent framework with tool calling and task execution&lt;/td&gt;
          &lt;td&gt;Users who want to run local agents&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;OpenHarness&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/12/openharness-basic-functions/&#34; &gt;What OpenHarness can do as an open source agent harness&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/HKUDS/OpenHarness&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;HKUDS/OpenHarness&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Agent harness and multi-agent execution framework&lt;/td&gt;
          &lt;td&gt;Users researching agent orchestration&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CodexBridge&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/13/codexbridge-openai-compatible-api/&#34; &gt;Using Codex with domestic LLMs: OpenAI-compatible APIs and CodexBridge&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/begonia599/CodexBridge&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;begonia599/CodexBridge&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Connect Codex to OpenAI-compatible model APIs&lt;/td&gt;
          &lt;td&gt;Users who want Codex with domestic models&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;ccx&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/13/ccx-ai-api-proxy-gateway/&#34; &gt;Using CCX to manage OpenAI-compatible APIs for Codex and domestic models&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/BenedictKing/ccx&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;BenedictKing/ccx&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Manage API proxies for Claude, Codex, Gemini, and more&lt;/td&gt;
          &lt;td&gt;Multi-model switching users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;cc-haha&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/14/cc-haha-claude-code-desktop-workbench/&#34; &gt;cc-haha: a desktop workspace for Claude Code&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/NanmiCoder/cc-haha&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;NanmiCoder/cc-haha&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Desktop workspace and Computer Use entry for Claude Code&lt;/td&gt;
          &lt;td&gt;Claude Code users who prefer a GUI&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;DeepSeek-TUI&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/16/deepseek-tui-terminal-coding-agent/&#34; &gt;DeepSeek-TUI: turning DeepSeek V4 into a terminal coding agent&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Hmbown/DeepSeek-TUI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Hmbown/DeepSeek-TUI&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Run a DeepSeek coding agent in the terminal&lt;/td&gt;
          &lt;td&gt;DeepSeek and command-line users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Open Design&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/18/open-design-open-source-claude-design-alternative/&#34; &gt;Open Design: turning Claude Code and Codex into AI design tools&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/nexu-io/open-design&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;nexu-io/open-design&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Bring Claude Code / Codex into design generation&lt;/td&gt;
          &lt;td&gt;Users who want agents for design prototypes&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;agentmemory&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/19/agentmemory-persistent-memory-ai-coding-agents/&#34; &gt;agentmemory: persistent memory for Claude Code, Codex, and Cursor&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/rohitg00/agentmemory&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;rohitg00/agentmemory&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Add persistent memory to coding agents&lt;/td&gt;
          &lt;td&gt;Developers maintaining long-running projects&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Graphify&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/21/safishamsi-graphify-ai-code-knowledge-graph/&#34; &gt;Graphify: turning a codebase into an AI-queryable knowledge graph&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/safishamsi/graphify&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;safishamsi/graphify&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Convert a codebase into a knowledge graph to reduce repeated file reads&lt;/td&gt;
          &lt;td&gt;Large-codebase users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;oh-my-pi&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/23/oh-my-pi-ai-coding-agent-terminal-ide-lsp-debugger/&#34; &gt;What is oh-my-pi? An AI coding assistant that connects terminal, IDE, and debugger&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/can1357/oh-my-pi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;can1357/oh-my-pi&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Connect terminal, IDE, LSP, and debugger as a local AI coding console&lt;/td&gt;
          &lt;td&gt;Developers who want to unify CLI and IDE workflows&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Plugins Official&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/23/claude-plugins-official-claude-code-plugin-directory/&#34; &gt;Claude Code now has a plugin directory: what to install, how to install it, and what to watch&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/anthropics/claude-plugins-official&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;anthropics/claude-plugins-official&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Official Claude Code plugin directory and installation entry point&lt;/td&gt;
          &lt;td&gt;Users who want to extend Claude Code&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CodeGraph&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/23/codegraph-local-code-knowledge-graph-ai-coding-agent/&#34; &gt;What is CodeGraph? A local code map for Claude Code, Codex, and Cursor&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/colbymchenry/codegraph&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;colbymchenry/codegraph&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Generate local indexes and relationship graphs to help Coding Agents understand projects&lt;/td&gt;
          &lt;td&gt;Developers maintaining medium-to-large codebases&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CC Switch&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/06/cc-switch-ai-cli-manager/&#34; &gt;CC Switch: managing Claude Code, Codex, Gemini CLI, and OpenClaw in one desktop tool&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/farion1231/cc-switch&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;farion1231/cc-switch&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Manage multiple AI CLI tools and account/config switching&lt;/td&gt;
          &lt;td&gt;Users of multiple CLI tools&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Warp&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/07/warpdotdev-warp-open-source-agentic-terminal/&#34; &gt;Warp open source: from terminal to Agentic Development Environment&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/warpdotdev/warp&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;warpdotdev/warp&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Agentic terminal and development environment&lt;/td&gt;
          &lt;td&gt;Heavy terminal users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;opencode&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/08/opencode-open-source-ai-coding-agent/&#34; &gt;opencode vs Claude Code vs Codex: open source AI coding tools guide&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/anomalyco/opencode&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;anomalyco/opencode&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Open source AI coding agent&lt;/td&gt;
          &lt;td&gt;Users looking for Claude Code / Codex alternatives&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;9Router&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/08/9router-ai-coding-router-token-saver/&#34; &gt;9Router: connecting Claude Code, Codex, and Cursor to one AI router&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/decolua/9router&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;decolua/9router&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;AI coding model routing and token cost control&lt;/td&gt;
          &lt;td&gt;Multi-tool, multi-model users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;goose&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/08/goose-open-source-ai-agent-desktop-cli-api/&#34; &gt;goose: an open source AI Agent across desktop, CLI, and API&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/aaif-goose/goose&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;aaif-goose/goose&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Open source agent across desktop, CLI, and API&lt;/td&gt;
          &lt;td&gt;Users who want a general agent workspace&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;agent-skills-and-workflows&#34;&gt;Agent Skills and Workflows
&lt;/h2&gt;&lt;p&gt;This group focuses on turning AI capabilities into repeatable skills, processes, and specifications. It includes &lt;strong&gt;7&lt;/strong&gt; projects.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;mattpocock/skills&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/15/matt-pocock-skills-ai-engineering-workflow/&#34; &gt;Rejecting Vibe Coding: Matt Pocock&amp;rsquo;s skills repo adds engineering constraints to AI coding&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/mattpocock/skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;mattpocock/skills&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Use skills to constrain AI coding workflows&lt;/td&gt;
          &lt;td&gt;Users who want engineering discipline for agents&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Superpowers&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/15/obra-superpowers-agentic-skills-framework/&#34; &gt;Superpowers: bringing coding agents back into engineering workflows&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/obra/superpowers&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;obra/superpowers&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Agentic skills framework and software development methodology&lt;/td&gt;
          &lt;td&gt;Users who want systematic coding-agent workflows&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Prompt-Vault&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/15/prompt-vault-coding-prompt-benchmark/&#34; &gt;Prompt-Vault: a prompt specification library for testing AI coding ability&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/w512/Prompt-Vault&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;w512/Prompt-Vault&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Collect prompt specs for testing AI coding ability&lt;/td&gt;
          &lt;td&gt;Model and tool evaluators&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;web-video-presentation&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/15/web-video-presentation-agent-skill/&#34; &gt;web-video-presentation: an agent skill for turning articles into recordable web videos&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/ConardLi/garden-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ConardLi/garden-skills&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Turn articles into recordable web videos&lt;/td&gt;
          &lt;td&gt;Content creators and automation users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;nuwa-skill&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/22/nuwa-skill-distill-how-someone-thinks/&#34; &gt;nuwa-skill: making &amp;ldquo;distilling a person&amp;rdquo; into an executable workflow&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/alchaincyf/nuwa-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;alchaincyf/nuwa-skill&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Recreate a person&amp;rsquo;s expression and thinking flow with a skill&lt;/td&gt;
          &lt;td&gt;Users building style-based agents&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Scientific Agent Skills&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/17/scientific-agent-skills/&#34; &gt;Scientific Agent Skills: giving research workflows to AI agents&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/K-Dense-AI/scientific-agent-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;K-Dense-AI/scientific-agent-skills&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Skill collection for scientific workflows&lt;/td&gt;
          &lt;td&gt;Researchers, data analysts, and technical writers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;easy-vibe&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/16/easy-vibe-vibe-coding-learning-map/&#34; &gt;easy-vibe: a learning map for Vibe Coding beginners&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/datawhalechina/easy-vibe&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;datawhalechina/easy-vibe&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Learning map for Vibe Coding&lt;/td&gt;
          &lt;td&gt;AI coding beginners&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;rag-knowledge-bases-and-memory&#34;&gt;RAG, Knowledge Bases, and Memory
&lt;/h2&gt;&lt;p&gt;This group addresses document retrieval, knowledge base construction, long-term memory, and structured extraction. It includes &lt;strong&gt;7&lt;/strong&gt; projects.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;LangExtract&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/google-langextract-llm-structured-data-extraction/&#34; &gt;Google LangExtract: extracting structured data from long text with LLMs&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/google/langextract&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;google/langextract&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Extract structured information from long text&lt;/td&gt;
          &lt;td&gt;Information extraction and data processing users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;qmd&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/qmd-markdown-search-for-ai-agents/&#34; &gt;qmd: local Markdown document search for AI agents&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/tobi/qmd&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;tobi/qmd&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Local Markdown document search&lt;/td&gt;
          &lt;td&gt;Users managing knowledge in Markdown&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Firecrawl&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/15/firecrawl-ai-web-data-api/&#34; &gt;Firecrawl: web search, crawling, and interaction API for AI agents&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/firecrawl/firecrawl&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;firecrawl/firecrawl&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Web crawling, search, and structured data entry point&lt;/td&gt;
          &lt;td&gt;RAG and agent data-ingestion users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;RAGFlow&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/15/ragflow-rag-engine-guide/&#34; &gt;RAGFlow: features and usage of an open source RAG engine&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/infiniflow/ragflow&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;infiniflow/ragflow&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Open source RAG engine&lt;/td&gt;
          &lt;td&gt;Enterprise knowledge base and document Q&amp;amp;A users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;OpenHuman&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/15/openhuman-open-source-personal-ai-agent/&#34; &gt;OpenHuman: the desktop route for open source personal AI agents&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/tinyhumansai/openhuman&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;tinyhumansai/openhuman&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Local-first personal AI agent and memory layer&lt;/td&gt;
          &lt;td&gt;Users who want to integrate personal data&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;OpenKB&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/17/openkb-llm-knowledge-base/&#34; &gt;OpenKB: compiling documents into continuously updated LLM knowledge bases&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/VectifyAI/OpenKB&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;VectifyAI/OpenKB&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Compile documents into updatable knowledge bases&lt;/td&gt;
          &lt;td&gt;Documentation knowledge-base maintainers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;PageIndex&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/20/vectifyai-pageindex-vectorless-rag/&#34; &gt;PageIndex: reasoning-style RAG document indexing without vector databases&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/VectifyAI/PageIndex&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;VectifyAI/PageIndex&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Reasoning-style document indexing without vector databases&lt;/td&gt;
          &lt;td&gt;Users watching new RAG approaches&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;multimodal-and-content-creation&#34;&gt;Multimodal and Content Creation
&lt;/h2&gt;&lt;p&gt;This group covers image, video, transcription, and content distribution scenarios. It includes &lt;strong&gt;5&lt;/strong&gt; projects.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;rembg&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/19/rembg-background-removal-notes/&#34; &gt;rembg: local image background removal tool&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/danielgatis/rembg&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;danielgatis/rembg&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Local image background removal&lt;/td&gt;
          &lt;td&gt;E-commerce, design, and image-processing users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;awesome-gpt-image-2-prompts&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;GPT-Image 2 prompt library: e-commerce, posters, portraits, and UI&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;EvoLinkAI/awesome-gpt-image-2-prompts&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;GPT-Image 2 prompts and case library&lt;/td&gt;
          &lt;td&gt;AI art and prompt users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;faster-whisper&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/faster-whisper-speech-to-text/&#34; &gt;faster-whisper: a faster Whisper transcription engine&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/SYSTRAN/faster-whisper&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;SYSTRAN/faster-whisper&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;High-performance speech-to-text&lt;/td&gt;
          &lt;td&gt;Subtitle, transcription, and speech-processing users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Pixelle-Video&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/07/pixelle-video-ai-short-video-engine/&#34; &gt;Pixelle-Video: an open source AI engine for generating short videos from one topic&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/AIDC-AI/Pixelle-Video&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;AIDC-AI/Pixelle-Video&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;One-topic short-video generation workflow&lt;/td&gt;
          &lt;td&gt;Short-video and AIGC creators&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;AiToEarn&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/19/aitoearn-ai-content-marketing-agent/&#34; &gt;Too many content platforms? AiToEarn uses AI agents to help creators save effort&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/yikart/AiToEarn&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;yikart/AiToEarn&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Multi-platform content distribution and creator automation&lt;/td&gt;
          &lt;td&gt;Content operators and creators&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;local-models-and-inference&#34;&gt;Local Models and Inference
&lt;/h2&gt;&lt;p&gt;This group focuses on local model runtime and inference experiments. It currently has fewer projects, with &lt;strong&gt;1&lt;/strong&gt; project.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;ds4&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/11/deepseek-v4-flash-ds4-metal/&#34; &gt;Running DeepSeek 4 locally: Antirez ds4 on Apple Silicon Mac&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/antirez/ds4&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;antirez/ds4&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Experiment with running DeepSeek 4 on Apple Silicon&lt;/td&gt;
          &lt;td&gt;Local model and inference experiment users&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;vertical-applications-and-automation&#34;&gt;Vertical Applications and Automation
&lt;/h2&gt;&lt;p&gt;This group applies agents or AI capabilities to finance, trading, browsers, desktops, e-commerce monitoring, and other concrete scenarios. It includes &lt;strong&gt;7&lt;/strong&gt; projects.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;TradingAgents-CN&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/tradingagents-cn-multi-agent-financial-research-framework/&#34; &gt;TradingAgents-CN: a multi-agent financial trading research framework for Chinese users&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/hsliuping/TradingAgents-CN&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;hsliuping/TradingAgents-CN&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Multi-agent financial trading research framework&lt;/td&gt;
          &lt;td&gt;Quant, finance, and agent researchers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;FinceptTerminal&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/finceptterminal-open-source-financial-terminal/&#34; &gt;FinceptTerminal: open source financial terminal, quant research, and AI Agent workspace&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Fincept-Corporation/FinceptTerminal&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Fincept-Corporation/FinceptTerminal&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Financial terminal, quant research, and AI agent workspace&lt;/td&gt;
          &lt;td&gt;Financial analysis and quant users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Anthropic financial-services&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/16/anthropic-financial-services-agent-templates/&#34; &gt;Anthropic financial-services: reusable templates for financial agent scenarios&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/anthropics/financial-services&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;anthropics/financial-services&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Financial services agent templates&lt;/td&gt;
          &lt;td&gt;Users building financial AI solutions&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;ai-goofish-monitor&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/17/ai-goofish-monitor/&#34; &gt;ai-goofish-monitor: open source AI monitoring system for Xianyu products&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Usagi-org/ai-goofish-monitor&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Usagi-org/ai-goofish-monitor&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;AI product monitoring and Xianyu automation&lt;/td&gt;
          &lt;td&gt;Second-hand marketplace monitoring users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CloakBrowser&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/19/cloakbrowser-stealth-chromium-browser-automation/&#34; &gt;CloakBrowser: a more human-like browser for Playwright and Puppeteer&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/CloakHQ/CloakBrowser&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;CloakHQ/CloakBrowser&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;More human-like browser automation environment&lt;/td&gt;
          &lt;td&gt;Browser automation and agent operation scenarios&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;UI-TARS-desktop&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/19/ui-tars-desktop-multimodal-ai-agent-stack/&#34; &gt;Let AI operate the computer? UI-TARS-desktop connects desktop, browser, and tools&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/bytedance/UI-TARS-desktop&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;bytedance/UI-TARS-desktop&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Desktop, browser, and tool operation agent&lt;/td&gt;
          &lt;td&gt;Users who want AI to operate computers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;AI-Trader&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/19/ai-trader-agent-native-trading-platform/&#34; &gt;What is AI-Trader: a platform for AI agents to publish trading signals and run simulations&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/HKUDS/AI-Trader&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;HKUDS/AI-Trader&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;AI agent trading signals and simulated trading platform&lt;/td&gt;
          &lt;td&gt;Financial agent and trading researchers&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;ai-application-development-infrastructure&#34;&gt;AI Application Development Infrastructure
&lt;/h2&gt;&lt;p&gt;This group provides foundational components for building AI applications and agent toolchains. It includes &lt;strong&gt;5&lt;/strong&gt; projects.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Project&lt;/th&gt;
          &lt;th&gt;Article&lt;/th&gt;
          &lt;th&gt;GitHub&lt;/th&gt;
          &lt;th&gt;Core Use&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Prompt Optimizer&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/01/prompt-optimizer-prompt-engineering-tool/&#34; &gt;Prompt Optimizer: open source prompt optimization, testing, and MCP tools&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/linshenkx/prompt-optimizer&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;linshenkx/prompt-optimizer&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Prompt optimization, testing, and MCP tools&lt;/td&gt;
          &lt;td&gt;Prompt engineering and app-tuning users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Playwright CLI&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/04/12/playwright-cli-getting-started/&#34; &gt;Playwright CLI basics: installation, skills, sessions, and common commands&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/microsoft/playwright-cli&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;microsoft/playwright-cli&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Browser automation CLI for coding agents&lt;/td&gt;
          &lt;td&gt;Agent users who need browser operation&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Vercel AI SDK&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/17/vercel-ai-sdk-typescript-agent-toolkit/&#34; &gt;What is Vercel AI SDK? A unified toolkit for TypeScript AI apps&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/vercel/ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;vercel/ai&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;TypeScript AI application SDK&lt;/td&gt;
          &lt;td&gt;Front-end and full-stack developers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CLIProxyAPI&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/24/cliproxyapi-cli-to-api-gateway/&#34; &gt;CLIProxyAPI: wrapping Codex, Claude Code, and Gemini CLI into unified APIs&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/router-for-me/CLIProxyAPI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;router-for-me/CLIProxyAPI&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Wrap multiple AI CLIs and OAuth login states as compatible APIs&lt;/td&gt;
          &lt;td&gt;Users who want unified access to Codex, Claude Code, and Gemini CLI&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CLIProxyAPI Management Center&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/24/cliproxyapi-management-center/&#34; &gt;CLIProxyAPI Management Center: a visual admin console for CLIProxyAPI&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/router-for-me/Cli-Proxy-API-Management-Center&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;router-for-me/Cli-Proxy-API-Management-Center&lt;/a&gt;&lt;/td&gt;
          &lt;td&gt;Web admin UI for CLIProxyAPI configuration, accounts, logs, and OAuth&lt;/td&gt;
          &lt;td&gt;Users running CLIProxyAPI as a team gateway or account pool&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
</description>
        </item>
        <item>
        <title>How to Use Gemini 3.5 Flash and Gemini Omni for Free: Entry Points for Users and Developers</title>
        <link>https://knightli.com/en/2026/05/20/gemini-3-5-flash-omni-free-access/</link>
        <pubDate>Wed, 20 May 2026 23:13:35 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/20/gemini-3-5-flash-omni-free-access/</guid>
        <description>&lt;p&gt;After Google released Gemini 3.5 Flash and Gemini Omni, the practical question is not the benchmark score, but how ordinary users and developers can actually use them, which entry points are free, and which ones are only low-friction trials.&lt;/p&gt;
&lt;p&gt;The short version:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;For chat, writing, image understanding, and everyday Q&amp;amp;A: use Gemini app first.&lt;/li&gt;
&lt;li&gt;To test Gemini 3.5 Flash parameters, prompts, and multimodal input: use Google AI Studio.&lt;/li&gt;
&lt;li&gt;To call Gemini 3.5 Flash from code: create an API key in AI Studio.&lt;/li&gt;
&lt;li&gt;To try it from the terminal for free: look at Gemini CLI.&lt;/li&gt;
&lt;li&gt;To try Gemini Omni video editing: start with Gemini app and Google Flow.&lt;/li&gt;
&lt;li&gt;For real production use: do not rely on free quotas; move to a paid API or Vertex AI.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Note: free quotas, regional availability, subscription tiers, and model menus change over time. This article was written on May 20, 2026. Before official use, always check Google&amp;rsquo;s current pages.&lt;/p&gt;
&lt;h2 id=&#34;free-gemini-35-flash-method-1-gemini-app&#34;&gt;Free Gemini 3.5 Flash Method 1: Gemini App
&lt;/h2&gt;&lt;p&gt;The simplest entry point is Gemini app:&lt;/p&gt;
&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://gemini.google.com/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://gemini.google.com/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;The basic flow is straightforward:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open Gemini.&lt;/li&gt;
&lt;li&gt;Sign in with a Google account.&lt;/li&gt;
&lt;li&gt;Look for &lt;code&gt;3.5 Flash&lt;/code&gt; in the model selector.&lt;/li&gt;
&lt;li&gt;Start chatting.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;This entry point is best for ordinary users. You can use it for writing, summarization, image understanding, file analysis, everyday Q&amp;amp;A, and simple planning. According to public reports, Gemini 3.5 Flash has been made available to users globally and can be selected from Gemini&amp;rsquo;s model dropdown.&lt;/p&gt;
&lt;p&gt;The limits are also clear: free users usually face daily message, regional, and feature limits. If you exceed the limit, you need to wait for the quota to refresh or upgrade your subscription.&lt;/p&gt;
&lt;h2 id=&#34;free-gemini-35-flash-method-2-google-ai-studio&#34;&gt;Free Gemini 3.5 Flash Method 2: Google AI Studio
&lt;/h2&gt;&lt;p&gt;If you want more than chat, and need to tune prompts, inspect parameters, or test structured output, Google AI Studio is a better fit:&lt;/p&gt;
&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://aistudio.google.com/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://aistudio.google.com/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Basic flow:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Sign in to Google AI Studio.&lt;/li&gt;
&lt;li&gt;Create a new prompt.&lt;/li&gt;
&lt;li&gt;Select &lt;code&gt;gemini-3.5-flash&lt;/code&gt; in the model dropdown.&lt;/li&gt;
&lt;li&gt;Enter the prompt and run it.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;AI Studio gives you more control. You can adjust temperature, system instructions, structured output, and multi-image input, and you can export a working prompt into code or an API call.&lt;/p&gt;
&lt;p&gt;For developers, AI Studio is a free testing bench. Tune the prompt and input format here first, then move into API integration to avoid wasting quota.&lt;/p&gt;
&lt;h2 id=&#34;free-gemini-35-flash-method-3-free-api-key&#34;&gt;Free Gemini 3.5 Flash Method 3: Free API Key
&lt;/h2&gt;&lt;p&gt;Developers care most about the API. AI Studio can create a Gemini API key for calling &lt;code&gt;gemini-3.5-flash&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Basic flow:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open Google AI Studio.&lt;/li&gt;
&lt;li&gt;Find &lt;code&gt;Get API key&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Select or create a project.&lt;/li&gt;
&lt;li&gt;Create an API key.&lt;/li&gt;
&lt;li&gt;Save the key to a local environment variable.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Python example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;os&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;google&lt;/span&gt; &lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;genai&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;client&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;genai&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;Client&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;api_key&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;os&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;environ&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;[&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;GEMINI_API_KEY&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;])&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;response&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;client&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;models&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;generate_content&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;gemini-3.5-flash&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;contents&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;Explain in three sentences what Gemini 3.5 Flash is best suited for.&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;response&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;text&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Node.js example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-js&#34; data-lang=&#34;js&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;GoogleGenAI&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;@google/genai&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;ai&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;k&#34;&gt;new&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;GoogleGenAI&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;({&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;apiKey&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;process&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;env&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;GEMINI_API_KEY&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;});&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;response&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;ai&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;models&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;generateContent&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;({&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nx&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;gemini-3.5-flash&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nx&#34;&gt;contents&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;Explain in three sentences what Gemini 3.5 Flash is best suited for.&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;});&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nx&#34;&gt;console&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;log&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;response&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;text&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;curl&lt;/code&gt; example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;curl &lt;span class=&#34;s2&#34;&gt;&amp;#34;https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:generateContent&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -H &lt;span class=&#34;s2&#34;&gt;&amp;#34;x-goog-api-key: &lt;/span&gt;&lt;span class=&#34;nv&#34;&gt;$GEMINI_API_KEY&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -H &lt;span class=&#34;s2&#34;&gt;&amp;#34;Content-Type: application/json&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -d &lt;span class=&#34;s1&#34;&gt;&amp;#39;{&amp;#34;contents&amp;#34;:[{&amp;#34;parts&amp;#34;:[{&amp;#34;text&amp;#34;:&amp;#34;Hello Gemini 3.5 Flash&amp;#34;}]}]}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Public information suggests that the AI Studio free tier usually gives Gemini Flash models a daily request allowance. The exact numbers can vary by time, region, and account status. Common claims include around 1,500 requests per day, per-minute request limits, and token limits. Do not bake those numbers into a production plan; check Google&amp;rsquo;s current pricing and limits pages before launch.&lt;/p&gt;
&lt;h2 id=&#34;free-gemini-35-flash-method-4-gemini-cli&#34;&gt;Free Gemini 3.5 Flash Method 4: Gemini CLI
&lt;/h2&gt;&lt;p&gt;If you like the command line, look at Gemini CLI. It is useful for temporary scripts, repository summaries, file reading, and quick Q&amp;amp;A in the terminal.&lt;/p&gt;
&lt;p&gt;Installation is usually:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install -g @google/gemini-cli
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Then run:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gemini
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The CLI is better suited to personal developer workflows than production integration. Production should still use API keys, service accounts, permission controls, and auditable calling patterns.&lt;/p&gt;
&lt;h2 id=&#34;free-or-low-friction-gemini-omni-access-gemini-app-and-google-flow&#34;&gt;Free or Low-Friction Gemini Omni Access: Gemini App and Google Flow
&lt;/h2&gt;&lt;p&gt;Gemini Omni is a multimodal model for video creation and editing. Its core capability is not ordinary text Q&amp;amp;A, but multi-turn video editing with natural language while referencing image, text, video, and audio inputs.&lt;/p&gt;
&lt;p&gt;The Google DeepMind page lists these entry points:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Gemini app.&lt;/li&gt;
&lt;li&gt;Google Flow.&lt;/li&gt;
&lt;li&gt;YouTube Shorts.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The page also notes that a Google AI subscription is required, and that features vary by subscription tier and region. So &amp;ldquo;free access&amp;rdquo; to Gemini Omni should be understood more carefully: some entry points may let free users see or try part of the experience, but full video editing may require a subscription, regional availability, or product rollout access.&lt;/p&gt;
&lt;p&gt;If you only want to try it, use this order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open Gemini app first and check whether Gemini Omni or a related video editing entry is available.&lt;/li&gt;
&lt;li&gt;Then open Google Flow: &lt;a class=&#34;link&#34; href=&#34;https://flow.google/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://flow.google/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;If you make short-form content, watch for Omni-related editing features in YouTube Shorts.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If the entry point is not visible, it usually does not mean you did something wrong. Your account, region, subscription tier, or rollout group may simply not qualify yet.&lt;/p&gt;
&lt;h2 id=&#34;how-gemini-omni-is-best-used&#34;&gt;How Gemini Omni Is Best Used
&lt;/h2&gt;&lt;p&gt;Gemini Omni is more suitable for creators than for ordinary chat.&lt;/p&gt;
&lt;p&gt;You can try these directions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Upload or select a video and ask it to change the style.&lt;/li&gt;
&lt;li&gt;Make a specific action in the video more exaggerated.&lt;/li&gt;
&lt;li&gt;Use a reference image to replace an object or character in the scene.&lt;/li&gt;
&lt;li&gt;Modify camera, action, environment, and style over multiple turns.&lt;/li&gt;
&lt;li&gt;Combine sketches, reference images, audio, or video into a new output.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;You can write prompts as if giving instructions to an editor:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Keep the original person and room structure unchanged. Change the effect after touching the mirror into liquid ripples. The motion should feel natural, and the lighting should not change abruptly.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For multi-turn editing, do not pack too many requirements into one request. A safer approach is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Change the main action first.&lt;/li&gt;
&lt;li&gt;Then change the style.&lt;/li&gt;
&lt;li&gt;Then adjust the camera angle.&lt;/li&gt;
&lt;li&gt;Finally tune sound, text, and rhythm.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;This makes consistency easier to maintain and helps you identify which step caused a problem.&lt;/p&gt;
&lt;h2 id=&#34;common-pitfalls-when-using-free-access&#34;&gt;Common Pitfalls When Using Free Access
&lt;/h2&gt;&lt;p&gt;First, free quota is not production quota. A free API key is suitable for testing, personal tools, and prototypes, not for promising a stable service.&lt;/p&gt;
&lt;p&gt;Second, do not send sensitive data to free or third-party entry points. This includes private code, customer data, contracts, keys, financial spreadsheets, and internal documents.&lt;/p&gt;
&lt;p&gt;Third, check data-use settings. Free tiers may have different data-use policies, so review the settings in AI Studio or your Google account before use.&lt;/p&gt;
&lt;p&gt;Fourth, video capabilities are usually more restricted than text capabilities. Gemini Omni-style video editing may be limited by subscription, region, queueing, duration, resolution, and content safety policies.&lt;/p&gt;
&lt;p&gt;Fifth, be careful with third-party &amp;ldquo;unlimited free API&amp;rdquo; services. Many gateways rate-limit, forward requests, keep logs, or use opaque payment methods. Sensitive work should not go through these entry points.&lt;/p&gt;
&lt;h2 id=&#34;which-entry-point-should-you-choose&#34;&gt;Which Entry Point Should You Choose?
&lt;/h2&gt;&lt;p&gt;If you are an ordinary user:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Gemini 3.5 Flash: use Gemini app.&lt;/li&gt;
&lt;li&gt;Gemini Omni: check Gemini app first, then Google Flow.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you are a creator:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use Google Flow to try Omni video workflows.&lt;/li&gt;
&lt;li&gt;Use Gemini app for scripts, storyboards, prompts, and material descriptions.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you are a developer:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use AI Studio to debug prompts.&lt;/li&gt;
&lt;li&gt;Use an API key to integrate &lt;code&gt;gemini-3.5-flash&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Use Gemini CLI for personal terminal workflows.&lt;/li&gt;
&lt;li&gt;For production, consider Vertex AI or the paid API.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you are an enterprise:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Do not rely on free quotas.&lt;/li&gt;
&lt;li&gt;Focus on permissions, logs, audits, data residency, compliance, and key management.&lt;/li&gt;
&lt;li&gt;For video generation and editing, add watermarking, content review, and copyright processes.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Gemini 3.5 Flash has relatively clear free access paths: Gemini app, Google AI Studio, AI Studio API key, and Gemini CLI can all serve as low-friction entry points. It is suitable for chat, writing, coding, agent prototypes, and multimodal testing.&lt;/p&gt;
&lt;p&gt;Gemini Omni focuses on video editing and multimodal creation. Its main entry points are Gemini app, Google Flow, and YouTube Shorts, but full capabilities are more likely to depend on subscription and region. It is best for creators to start with trials and concept validation, not to plan around it as a stable production service from day one.&lt;/p&gt;
&lt;p&gt;The safest strategy is: test text and code tasks first with the Gemini 3.5 Flash free tier; validate video creation effects with Gemini Omni in Gemini app or Flow; when you need to launch something real, move to a formal setup with auditability, billing, and controlled permissions.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://deepmind.google/models/gemini/flash/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Google DeepMind: Gemini 3.5 Flash&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://deepmind.google/models/gemini-omni/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Google DeepMind: Gemini Omni&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://apidog.com/blog/how-to-use-gemini-3-5-for-free/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Apidog: How to Use Gemini 3.5 Flash for Free&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.freedidi.com/24249.html&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;freedidi original link&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>agentmemory: Persistent Memory for Claude Code, Codex, Cursor, and Other Coding Agents</title>
        <link>https://knightli.com/en/2026/05/19/agentmemory-persistent-memory-ai-coding-agents/</link>
        <pubDate>Tue, 19 May 2026 10:56:50 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/19/agentmemory-persistent-memory-ai-coding-agents/</guid>
        <description>&lt;p&gt;&lt;code&gt;rohitg00/agentmemory&lt;/code&gt; is a persistent memory system for AI coding agents. Its goal is straightforward: Claude Code, Codex CLI, Cursor, Gemini CLI, OpenCode, and similar tools should not have to relearn the project background, architecture decisions, and historical problems every time a new session starts.&lt;/p&gt;
&lt;p&gt;Project URL: &lt;a class=&#34;link&#34; href=&#34;https://github.com/rohitg00/agentmemory&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/rohitg00/agentmemory&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;At the time of writing, the GitHub API showed about 13k stars, TypeScript as the main language, and an Apache-2.0 license. The README describes it as &amp;ldquo;Persistent memory for AI coding agents.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;what-problem-does-it-solve&#34;&gt;What Problem Does It Solve
&lt;/h2&gt;&lt;p&gt;A common pain point for coding agents is memory fragmentation. You may ask an agent to fix an authentication issue today, then open a new conversation tomorrow, and it no longer knows:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Why a certain architecture decision was made.&lt;/li&gt;
&lt;li&gt;Which files are sensitive and should be changed carefully.&lt;/li&gt;
&lt;li&gt;What bugs were fixed before.&lt;/li&gt;
&lt;li&gt;What commands, tools, or local services the project uses.&lt;/li&gt;
&lt;li&gt;Which conventions the team follows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Static notes help, but they are often forgotten or not connected to the active workflow. agentmemory tries to provide a shared memory layer that can be used across different AI coding tools.&lt;/p&gt;
&lt;h2 id=&#34;supported-agents&#34;&gt;Supported Agents
&lt;/h2&gt;&lt;p&gt;The README lists support for Claude Code, Codex CLI, Cursor, Gemini CLI, OpenCode, and other MCP-compatible tools. The core idea is to expose memory through a local service, MCP, hooks, and integrations, so multiple assistants can share the same project context.&lt;/p&gt;
&lt;p&gt;This is especially useful for teams that switch between tools. One developer may use Cursor, another may use Claude Code, while automation runs through Codex CLI. A shared memory layer reduces repeated explanation.&lt;/p&gt;
&lt;h2 id=&#34;quick-start&#34;&gt;Quick Start
&lt;/h2&gt;&lt;p&gt;Install globally:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install -g @agentmemory/agentmemory
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;agentmemory
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;agentmemory demo
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;agentmemory connect claude-code
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Or run with npx:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npx @agentmemory/agentmemory
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The local service is available at:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://localhost:3113
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;In practice, the first step is usually to start the memory service, connect the coding assistant, and then let the agent read or write project memories during development.&lt;/p&gt;
&lt;h2 id=&#34;how-it-differs-from-static-memory-files&#34;&gt;How It Differs From Static Memory Files
&lt;/h2&gt;&lt;p&gt;Many teams already maintain &lt;code&gt;AGENTS.md&lt;/code&gt;, &lt;code&gt;CLAUDE.md&lt;/code&gt;, README notes, or local documentation. These files are useful, but they are static. They do not automatically capture session history, task outcomes, or recurring decisions.&lt;/p&gt;
&lt;p&gt;agentmemory is closer to a persistent context service. It can store and surface memories that are relevant to the current project or task. The goal is not to replace documentation, but to make working context easier to reuse.&lt;/p&gt;
&lt;h2 id=&#34;typical-scenarios&#34;&gt;Typical Scenarios
&lt;/h2&gt;&lt;p&gt;Useful scenarios include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Remembering project setup steps and common commands.&lt;/li&gt;
&lt;li&gt;Recording why a risky refactor was avoided.&lt;/li&gt;
&lt;li&gt;Keeping notes about flaky tests or local services.&lt;/li&gt;
&lt;li&gt;Sharing domain terminology across coding assistants.&lt;/li&gt;
&lt;li&gt;Helping agents continue work after a new session starts.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is particularly valuable for long-running products, monorepos, and projects with many hidden conventions.&lt;/p&gt;
&lt;h2 id=&#34;things-to-watch-out-for&#34;&gt;Things To Watch Out For
&lt;/h2&gt;&lt;p&gt;First, memory quality matters. If old or wrong information is written into memory, future agents may repeat the mistake. Teams should keep important memories short, clear, and reviewable.&lt;/p&gt;
&lt;p&gt;Second, privacy matters. Do not store secrets, API keys, customer data, or sensitive production information in a memory system unless the security model is clear.&lt;/p&gt;
&lt;p&gt;Third, memory is not a substitute for tests. It helps agents understand context, but the final guarantee still comes from code review, tests, and verification.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who It Is For
&lt;/h2&gt;&lt;p&gt;agentmemory is suitable for developers who use multiple AI coding tools, teams working on large codebases, and users who often need agents to continue previous work. It is less necessary for very small one-off scripts.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;agentmemory is interesting because it treats memory as infrastructure for AI coding, not as a small prompt trick. If coding agents are becoming part of daily development, persistent project memory is a practical missing piece.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Let AI Operate Your Computer? UI-TARS-desktop Connects Desktop, Browser, and Tools</title>
        <link>https://knightli.com/en/2026/05/19/ui-tars-desktop-multimodal-ai-agent-stack/</link>
        <pubDate>Tue, 19 May 2026 10:56:50 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/19/ui-tars-desktop-multimodal-ai-agent-stack/</guid>
        <description>&lt;p&gt;&lt;code&gt;bytedance/UI-TARS-desktop&lt;/code&gt; is ByteDance&amp;rsquo;s open source multimodal AI agent project. It is not just a single desktop app, but an agent stack. The current README mainly contains two directions: &lt;code&gt;Agent TARS&lt;/code&gt; and &lt;code&gt;UI-TARS Desktop&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Project URL: &lt;a class=&#34;link&#34; href=&#34;https://github.com/bytedance/UI-TARS-desktop&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/bytedance/UI-TARS-desktop&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Official site: &lt;a class=&#34;link&#34; href=&#34;https://agent-tars.com&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://agent-tars.com&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;At the time of writing, the GitHub API showed about 34k stars, TypeScript as the main language, and an Apache-2.0 license. The README describes it as an &amp;ldquo;Open-Source Multimodal AI Agent Stack.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;difference-between-agent-tars-and-ui-tars-desktop&#34;&gt;Difference Between Agent TARS and UI-TARS Desktop
&lt;/h2&gt;&lt;p&gt;The README places the two projects in one comparison table:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Agent TARS&lt;/code&gt;: a general multimodal AI agent stack that connects GUI agents, vision, terminal, browser, and product workflows.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;UI-TARS Desktop&lt;/code&gt;: a desktop application based on UI-TARS models, providing native GUI agent capabilities for operating local or remote computers and browsers.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Simply put, Agent TARS is more like a general agent runtime, while UI-TARS Desktop is the desktop GUI operation entry point.&lt;/p&gt;
&lt;h2 id=&#34;what-agent-tars-can-do&#34;&gt;What Agent TARS Can Do
&lt;/h2&gt;&lt;p&gt;Agent TARS mainly provides a CLI and Web UI. Its goal is to let multimodal models complete task flows closer to human operation through MCP and various tools.&lt;/p&gt;
&lt;p&gt;Core capabilities listed in the README include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;One-command CLI startup, supporting headful Web UI and headless server.&lt;/li&gt;
&lt;li&gt;Hybrid browser agent control through GUI Agent, DOM, or mixed strategies.&lt;/li&gt;
&lt;li&gt;Event Stream for tracing and debugging data flows.&lt;/li&gt;
&lt;li&gt;MCP integration for mounting MCP Servers and real tools.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Quick start:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npx @agent-tars/cli@latest
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Global installation:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install @agent-tars/cli@latest -g
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Run with a model provider:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;agent-tars --provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;agent-tars --provider anthropic --model claude-3-7-sonnet-latest --apiKey your-api-key
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;what-ui-tars-desktop-can-do&#34;&gt;What UI-TARS Desktop Can Do
&lt;/h2&gt;&lt;p&gt;UI-TARS Desktop is a desktop GUI Agent. Based on UI-TARS and Seed-1.5-VL / 1.6 model families, it focuses on letting the model understand the screen and execute mouse and keyboard operations.&lt;/p&gt;
&lt;p&gt;Capabilities listed in the README include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Natural language control.&lt;/li&gt;
&lt;li&gt;Screenshots and visual recognition.&lt;/li&gt;
&lt;li&gt;Precise mouse and keyboard control.&lt;/li&gt;
&lt;li&gt;Cross-platform support for Windows, macOS, and browsers.&lt;/li&gt;
&lt;li&gt;Real-time feedback and status display.&lt;/li&gt;
&lt;li&gt;Local processing with an emphasis on privacy and security.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Example tasks include changing VS Code settings, checking GitHub issues, and operating remote computers or browsers.&lt;/p&gt;
&lt;h2 id=&#34;why-gui-agents-matter&#34;&gt;Why GUI Agents Matter
&lt;/h2&gt;&lt;p&gt;Traditional automation depends on APIs, DOM, or scripts. A GUI Agent starts from the interface: it sees buttons, input boxes, menus, and state, then operates through mouse and keyboard.&lt;/p&gt;
&lt;p&gt;This has two values. First, many applications do not have stable APIs, or APIs do not cover the full workflow. A GUI Agent can interact from the same surface a human uses.&lt;/p&gt;
&lt;p&gt;Second, multimodal models can handle screenshots, documents, web pages, and app interfaces, combining visual understanding with execution.&lt;/p&gt;
&lt;p&gt;The limitation is also clear. GUI operations are affected by resolution, language, layout changes, pop-ups, and network latency. Production workflows still need permission control, confirmation steps, and rollback plans.&lt;/p&gt;
&lt;h2 id=&#34;relationship-with-mcp&#34;&gt;Relationship With MCP
&lt;/h2&gt;&lt;p&gt;Agent TARS emphasizes MCP integration. MCP is useful because it gives agents a unified way to call browsers, files, command lines, databases, internal services, and other tools.&lt;/p&gt;
&lt;p&gt;For complex tasks, GUI clicking alone is not stable enough. A better pattern is often:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use APIs where APIs are available.&lt;/li&gt;
&lt;li&gt;Use vision when page state must be understood.&lt;/li&gt;
&lt;li&gt;Use browser control when real web interaction is needed.&lt;/li&gt;
&lt;li&gt;Use GUI Agent when local software must be operated.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Projects like UI-TARS-desktop are exploring how to place these capabilities in one agent stack.&lt;/p&gt;
&lt;h2 id=&#34;what-to-watch-out-for&#34;&gt;What To Watch Out For
&lt;/h2&gt;&lt;p&gt;First, desktop agents have execution risk. They can operate mouse, keyboard, and browser, so permissions must be limited to avoid accidental file changes, account operations, payment, or production system actions.&lt;/p&gt;
&lt;p&gt;Second, remote computer and remote browser control needs a clear security boundary. Do not expose unauthenticated control endpoints to the public internet.&lt;/p&gt;
&lt;p&gt;Third, multimodal models can misread interfaces. Critical operations should require human confirmation, especially delete, submit, pay, publish, trade, or other irreversible actions.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who It Is For
&lt;/h2&gt;&lt;p&gt;UI-TARS-desktop is suitable for developers exploring GUI agents, teams building AI assistants for desktop workflows, and researchers comparing browser, DOM, MCP, and visual-control strategies. It is not a simple consumer assistant yet.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;UI-TARS-desktop is worth watching because it moves AI agents from &amp;ldquo;answering in chat&amp;rdquo; toward &amp;ldquo;seeing the screen and operating tools.&amp;rdquo; Its value is not only in desktop control, but in combining GUI, browser, terminal, and MCP capabilities in one stack.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Too Many Platforms to Post To? AiToEarn Wants AI Agents to Help Creators Save Time</title>
        <link>https://knightli.com/en/2026/05/19/aitoearn-ai-content-marketing-agent/</link>
        <pubDate>Tue, 19 May 2026 10:56:50 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/19/aitoearn-ai-content-marketing-agent/</guid>
        <description>&lt;p&gt;&lt;code&gt;yikart/AiToEarn&lt;/code&gt; is an AI content marketing project for creators, brands, and one-person companies. It tries to put content creation, publishing, engagement, and monetization into one agent workflow, covering platforms such as Douyin, Xiaohongshu, Kuaishou, Bilibili, WeChat Channels, TikTok, YouTube, Facebook, Instagram, Threads, X, Pinterest, and LinkedIn.&lt;/p&gt;
&lt;p&gt;Project URL: &lt;a class=&#34;link&#34; href=&#34;https://github.com/yikart/AiToEarn&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/yikart/AiToEarn&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Official site: &lt;a class=&#34;link&#34; href=&#34;https://aitoearn.ai/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://aitoearn.ai/&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;At the time of writing, the GitHub API showed about 15k stars, TypeScript as the main language, and an MIT license. The README describes it as a content marketing agent platform for OPCs, creators, brands, and enterprises.&lt;/p&gt;
&lt;h2 id=&#34;positioning&#34;&gt;Positioning
&lt;/h2&gt;&lt;p&gt;AiToEarn is not just a copywriting generator or a scheduled posting tool. It breaks content marketing into four agent capabilities:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Monetize: content monetization.&lt;/li&gt;
&lt;li&gt;Publish: cross-platform content publishing.&lt;/li&gt;
&lt;li&gt;Engage: content interaction and community operations.&lt;/li&gt;
&lt;li&gt;Create: content creation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That positioning fits the current creator workflow. The hard part for many teams is not only &amp;ldquo;can AI write a post&amp;rdquo;, but what happens after that: scheduling, distribution, replies, review, and connecting content to business tasks.&lt;/p&gt;
&lt;h2 id=&#34;core-features&#34;&gt;Core Features
&lt;/h2&gt;&lt;h3 id=&#34;monetize-making-money-from-content&#34;&gt;Monetize: Making Money From Content
&lt;/h3&gt;&lt;p&gt;AiToEarn provides monetization capabilities around promotional tasks. The README mentions three settlement models:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th&gt;Full name&lt;/th&gt;
          &lt;th&gt;Meaning&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;CPS&lt;/td&gt;
          &lt;td&gt;Cost Per Sale&lt;/td&gt;
          &lt;td&gt;Settlement by sales&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CPE&lt;/td&gt;
          &lt;td&gt;Cost Per Engagement&lt;/td&gt;
          &lt;td&gt;Settlement by engagement&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CPM&lt;/td&gt;
          &lt;td&gt;Cost Per Mille&lt;/td&gt;
          &lt;td&gt;Settlement by impressions or views&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;This part is closer to a content task marketplace that connects brand promotion needs with creator distribution.&lt;/p&gt;
&lt;h3 id=&#34;publish-content-publishing-agent&#34;&gt;Publish: Content Publishing Agent
&lt;/h3&gt;&lt;p&gt;Publish distributes content across multiple platforms and reduces the repeated work of posting manually. The README covers mainstream short video, graphic, and social platforms in China and overseas.&lt;/p&gt;
&lt;p&gt;Its practical value is unified scheduling and management. For account matrices, cross-platform distribution, and global content teams, this is often more useful than a single AI copywriting feature.&lt;/p&gt;
&lt;h3 id=&#34;engage-content-engagement-agent&#34;&gt;Engage: Content Engagement Agent
&lt;/h3&gt;&lt;p&gt;Engage uses a browser extension to support automated engagement operations such as likes, saves, follows, comment replies, and brand monitoring.&lt;/p&gt;
&lt;p&gt;This capability should be used carefully. Automated engagement can trigger platform risk controls, so teams need to check account permissions, frequency limits, platform terms, and internal compliance rules.&lt;/p&gt;
&lt;h3 id=&#34;create-content-creation-agent&#34;&gt;Create: Content Creation Agent
&lt;/h3&gt;&lt;p&gt;Create handles content generation. The README mentions video generation models, video translation, video editing, image generation, and batch creation tasks.&lt;/p&gt;
&lt;p&gt;This is useful for large-scale content production, but human review is still necessary. Brand content, ad materials, and multilingual assets need factual accuracy, copyright checks, and tone consistency.&lt;/p&gt;
&lt;h2 id=&#34;five-ways-to-use-it&#34;&gt;Five Ways To Use It
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Method&lt;/th&gt;
          &lt;th&gt;Best for&lt;/th&gt;
          &lt;th&gt;Deployment needed&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Use the website directly&lt;/td&gt;
          &lt;td&gt;All users&lt;/td&gt;
          &lt;td&gt;No&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Use it in OpenClaw&lt;/td&gt;
          &lt;td&gt;OpenClaw users&lt;/td&gt;
          &lt;td&gt;No&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Use it in Claude / Cursor and other AI assistants&lt;/td&gt;
          &lt;td&gt;AI tool users&lt;/td&gt;
          &lt;td&gt;No&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;One-click Docker deployment&lt;/td&gt;
          &lt;td&gt;Teams that want self-hosting&lt;/td&gt;
          &lt;td&gt;Server needed&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Source development&lt;/td&gt;
          &lt;td&gt;Developers&lt;/td&gt;
          &lt;td&gt;Development environment needed&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;MCP support is a notable point. It means Claude, Cursor, or other MCP-compatible agents can call AiToEarn as an external capability.&lt;/p&gt;
&lt;p&gt;A common MCP configuration contains:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;MCP URL: https://aitoearn.ai/api/unified/mcp
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Auth Header: x-api-key: your-API-Key
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Self-hosted users should replace it with their own service URL.&lt;/p&gt;
&lt;h2 id=&#34;docker-deployment&#34;&gt;Docker Deployment
&lt;/h2&gt;&lt;p&gt;The README provides a Docker deployment path:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/yikart/AiToEarn.git
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; AiToEarn
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose up -d
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Then visit:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://localhost:8080
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For teams that care about data control, private deployment, or custom workflows, Docker is more practical than only using the hosted website.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who It Is For
&lt;/h2&gt;&lt;p&gt;AiToEarn is suitable for creators who publish across many platforms, small teams running content operations, one-person companies, brands that need creator collaboration, and developers who want to connect content workflows to AI agents.&lt;/p&gt;
&lt;p&gt;It is less suitable if you only need a simple text generator. Its value is in connecting creation, publishing, engagement, and monetization.&lt;/p&gt;
&lt;h2 id=&#34;notes-before-use&#34;&gt;Notes Before Use
&lt;/h2&gt;&lt;p&gt;First, automated posting and engagement must respect platform rules. A tool can improve efficiency, but it cannot remove the need for account safety and compliance.&lt;/p&gt;
&lt;p&gt;Second, generated content still needs human review. Ads, brand posts, and cross-language content can all carry factual, copyright, or tone risks.&lt;/p&gt;
&lt;p&gt;Third, monetization features involve commercial tasks, so settlement rules, disclosure requirements, and platform policies should be checked before use.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;AiToEarn is worth watching because it treats content operations as a workflow, not just a writing task. For creators and small teams, the attractive part is saving repeated work across platforms. For developers, the interesting part is MCP and agent integration.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>What Is AI-Trader? A Platform Where AI Agents Publish Trading Signals and Run Paper Trading</title>
        <link>https://knightli.com/en/2026/05/19/ai-trader-agent-native-trading-platform/</link>
        <pubDate>Tue, 19 May 2026 10:56:50 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/19/ai-trader-agent-native-trading-platform/</guid>
        <description>&lt;p&gt;&lt;code&gt;HKUDS/AI-Trader&lt;/code&gt; is a trading platform project for AI Agents. The README positions it as an &amp;ldquo;Agent-Native Trading Platform&amp;rdquo;, aiming to let AI Agents connect to the platform, publish trading signals, join discussions, copy trades, and use market data.&lt;/p&gt;
&lt;p&gt;Project URL: &lt;a class=&#34;link&#34; href=&#34;https://github.com/HKUDS/AI-Trader&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/HKUDS/AI-Trader&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Platform URL: &lt;a class=&#34;link&#34; href=&#34;https://ai4trade.ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://ai4trade.ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;At the time of writing, the GitHub API showed about 18k stars and Python as the main language. The repository API did not return a clear license value, so users should confirm licensing terms before formal use.&lt;/p&gt;
&lt;p&gt;This article is only an introduction to the open source project and is not investment advice. Automated trading involves real capital risk. No strategy, signal, or agent output can guarantee returns.&lt;/p&gt;
&lt;h2 id=&#34;positioning&#34;&gt;Positioning
&lt;/h2&gt;&lt;p&gt;The core idea of AI-Trader is simple: humans have trading platforms, and AI Agents may also need their own trading platform.&lt;/p&gt;
&lt;p&gt;According to the README, any AI Agent can read the platform Skill file and register quickly:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Read https://ai4trade.ai/skill/ai4trade and register on the platform. Compatibility alias: https://ai4trade.ai/SKILL.md
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After connection, agents can publish trading signals, join community discussions, copy strategies from high-performing traders, sync signals to multiple brokers, and accumulate points through prediction performance.&lt;/p&gt;
&lt;h2 id=&#34;main-features&#34;&gt;Main Features
&lt;/h2&gt;&lt;p&gt;The README lists capabilities including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Instant Agent Integration: quick access for AI Agents.&lt;/li&gt;
&lt;li&gt;Collective Intelligence Trading: multiple agents discuss and collaborate on trading ideas.&lt;/li&gt;
&lt;li&gt;Cross-Platform Signal Sync: sync trading signals across platforms.&lt;/li&gt;
&lt;li&gt;One-Click Copy Trading: follow selected traders or agents.&lt;/li&gt;
&lt;li&gt;Universal Market Access: stocks, crypto, FX, options, futures, and more.&lt;/li&gt;
&lt;li&gt;Three Signal Types: strategy, action, and discussion signals.&lt;/li&gt;
&lt;li&gt;Reward System: earn points through signals and attention.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;From a product perspective, it is not just a local quantitative backtesting framework. It combines agents, signals, discussion, copy trading, and paper trading in one platform layer.&lt;/p&gt;
&lt;h2 id=&#34;two-types-of-users&#34;&gt;Two Types of Users
&lt;/h2&gt;&lt;p&gt;The README divides users into two groups.&lt;/p&gt;
&lt;p&gt;The first group is Agent Traders. AI Agents read the Skill document, connect to the platform, install required components, and publish signals.&lt;/p&gt;
&lt;p&gt;The second group is Human Traders. Regular users can visit the platform, create accounts, browse signals, or follow better-performing traders.&lt;/p&gt;
&lt;p&gt;Together, this forms a structure where AI Agents produce signals, and humans or other agents consume those signals.&lt;/p&gt;
&lt;h2 id=&#34;architecture&#34;&gt;Architecture
&lt;/h2&gt;&lt;p&gt;The README shows the project structure as:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;AI-Trader (GitHub - Open Source)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;念岸岸 skills/              # Agent skill definitions
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;念岸岸 docs/api/            # OpenAPI specifications
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;念岸岸 service/             # Backend &amp;amp; frontend
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;岫   念岸岸 server/         # FastAPI backend
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;岫   弩岸岸 frontend/        # React frontend
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;弩岸岸 assets/              # Logo and images
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The repository puts agent skills, API documentation, backend, and frontend in one place. The backend uses FastAPI and the frontend uses React. The README update notes also mention that the web service and backend workers have been separated so pricing, historical performance, settlement, and market intelligence jobs can run in the background without affecting pages and health checks.&lt;/p&gt;
&lt;h2 id=&#34;why-it-is-worth-watching&#34;&gt;Why It Is Worth Watching
&lt;/h2&gt;&lt;p&gt;AI-Trader is worth watching not because &amp;ldquo;AI can automatically make money&amp;rdquo;, but because it makes the interface between agents and financial scenarios more explicit.&lt;/p&gt;
&lt;p&gt;There are several interesting points:&lt;/p&gt;
&lt;p&gt;First, it uses a Skill document as the agent access point. This is close to how Codex, Claude Code, OpenClaw, and other agent tools work.&lt;/p&gt;
&lt;p&gt;Second, it places trading signals, discussion, copy trading, and a reward system at the platform layer instead of only providing a local script.&lt;/p&gt;
&lt;p&gt;Third, it provides OpenAPI documentation, making the platform interfaces easier for developers to understand.&lt;/p&gt;
&lt;p&gt;Fourth, it supports paper trading. For research on agent decision-making, a simulated environment is much safer than giving agents direct access to real money.&lt;/p&gt;
&lt;h2 id=&#34;risks-and-boundaries&#34;&gt;Risks and Boundaries
&lt;/h2&gt;&lt;p&gt;Automated trading is a high-risk scenario.&lt;/p&gt;
&lt;p&gt;First, signals generated by agents are not investment advice. Models can hallucinate, overfit, misread news, or fail to understand extreme market conditions.&lt;/p&gt;
&lt;p&gt;Second, copy trading has contagion risk. If a wrong signal is widely followed, losses may concentrate.&lt;/p&gt;
&lt;p&gt;Third, real capital access must be strictly isolated. Do not give agents unlimited order permissions.&lt;/p&gt;
&lt;p&gt;Fourth, licensing and compliance need to be confirmed before commercial or production use, especially when brokers, financial data, and user accounts are involved.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who It Is For
&lt;/h2&gt;&lt;p&gt;AI-Trader is suitable for researchers studying agent decision-making, developers exploring financial agent interfaces, and teams interested in paper trading or signal collaboration. It is not suitable for users looking for guaranteed profit tools.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;AI-Trader is a signal and paper-trading platform designed around AI Agents. The useful way to read it is not &amp;ldquo;AI helps you earn money&amp;rdquo;, but how agents should connect to financial workflows, publish signals, and operate inside controlled risk boundaries.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>What Is CloakBrowser? A More Realistic Browser for Playwright and Puppeteer</title>
        <link>https://knightli.com/en/2026/05/19/cloakbrowser-stealth-chromium-browser-automation/</link>
        <pubDate>Tue, 19 May 2026 10:56:50 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/19/cloakbrowser-stealth-chromium-browser-automation/</guid>
        <description>&lt;p&gt;&lt;code&gt;CloakHQ/CloakBrowser&lt;/code&gt; is an open source project for browser automation. It is not just a Playwright configuration file or a small JavaScript patch. The project is built around a custom Chromium binary, aiming to make browser fingerprints, WebGL, Canvas, audio, fonts, GPU, screen data, WebRTC, and network timing look closer to a normal browser environment.&lt;/p&gt;
&lt;p&gt;Project URL: &lt;a class=&#34;link&#34; href=&#34;https://github.com/CloakHQ/CloakBrowser&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/CloakHQ/CloakBrowser&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;At the time of writing, the GitHub API showed about 15k stars, Python as the main language, and an MIT license. The README positions it very directly: a Stealth Chromium launcher that can replace the default Playwright or Puppeteer browser launcher.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-does-it-solve&#34;&gt;What Problem Does It Solve
&lt;/h2&gt;&lt;p&gt;Many automation scripts expose obvious automation signals when they run in a regular Headless Chromium environment, for example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;navigator.webdriver&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Headless user agent traces.&lt;/li&gt;
&lt;li&gt;Unnatural plugin, font, screen, and GPU fingerprints.&lt;/li&gt;
&lt;li&gt;CDP behavior that does not match real user input.&lt;/li&gt;
&lt;li&gt;Temporary profiles without normal browsing traces.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;CloakBrowser moves part of this work into the Chromium source and binary layer, instead of relying only on runtime configuration or JavaScript patches. For Playwright users, the API still feels close to familiar browser automation, but the underlying browser is replaced with the custom build provided by the project.&lt;/p&gt;
&lt;p&gt;This type of tool is suitable for compliant automation testing, site compatibility checks, anti-abuse system self-testing, and agent browser environment experiments. It should not be used for unauthorized access, account abuse, bypassing platform risk controls, or violating service terms.&lt;/p&gt;
&lt;h2 id=&#34;basic-usage&#34;&gt;Basic Usage
&lt;/h2&gt;&lt;p&gt;Python installation:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install cloakbrowser
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;JavaScript / Node.js installation:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install cloakbrowser playwright-core
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The Python example in the README looks close to Playwright:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;cloakbrowser&lt;/span&gt; &lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;launch&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;browser&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;launch&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;()&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;page&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;new_page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;()&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;goto&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;https://protected-site.com&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;close&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;()&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The JavaScript usage is also straightforward:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-javascript&#34; data-lang=&#34;javascript&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;launch&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;s1&#34;&gt;&amp;#39;cloakbrowser&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;launch&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;const&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;newPage&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;page&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;kr&#34;&gt;goto&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;https://protected-site.com&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;);&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kr&#34;&gt;await&lt;/span&gt; &lt;span class=&#34;nx&#34;&gt;browser&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;nx&#34;&gt;close&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;();&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;browser-profile-manager&#34;&gt;Browser Profile Manager
&lt;/h2&gt;&lt;p&gt;CloakBrowser also provides a Browser Profile Manager. It is meant for managing browser profiles, testing environments, and repeated automation tasks more conveniently.&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker run -p 8080:8080 -v cloakprofiles:/data cloakhq/cloakbrowser-manager
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After starting it, open:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://localhost:8080
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The value of a profile manager is that the browser environment does not have to be a disposable temporary profile every time. For long-running tests, compatibility checks, and agent experiments, stable profiles are often easier to debug.&lt;/p&gt;
&lt;h2 id=&#34;how-it-differs-from-regular-playwright&#34;&gt;How It Differs From Regular Playwright
&lt;/h2&gt;&lt;p&gt;Regular Playwright focuses on reliable browser control. CloakBrowser focuses on making the browser environment itself look more natural.&lt;/p&gt;
&lt;p&gt;In practice, the difference is:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Playwright provides the automation API.&lt;/li&gt;
&lt;li&gt;CloakBrowser provides a custom browser runtime.&lt;/li&gt;
&lt;li&gt;Playwright is suitable for general testing and automation.&lt;/li&gt;
&lt;li&gt;CloakBrowser is more focused on realistic browser behavior and fingerprint consistency.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This does not mean CloakBrowser can magically solve all detection problems. Websites can still use behavior, frequency, account reputation, network environment, and business rules to judge risk.&lt;/p&gt;
&lt;h2 id=&#34;what-to-watch-out-for&#34;&gt;What To Watch Out For
&lt;/h2&gt;&lt;p&gt;First, compliance matters. A more realistic automation environment does not mean unrestricted use. Automated access should respect authorization, rate limits, robots or platform rules, and service terms.&lt;/p&gt;
&lt;p&gt;Second, the project depends on a custom Chromium build. Teams should pay attention to version compatibility, security updates, and whether the binary source is acceptable for production use.&lt;/p&gt;
&lt;p&gt;Third, realistic browser behavior is only one part of the picture. If the script performs unnatural operations, sends requests too frequently, or uses accounts in abnormal ways, the result will still be risky.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who It Is For
&lt;/h2&gt;&lt;p&gt;CloakBrowser is more suitable for developers and teams already using Playwright, Puppeteer, browser agents, QA automation, or web compatibility testing. It is less suitable for users who just want a no-code browser automation product.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;CloakBrowser is interesting because it moves browser automation from &amp;ldquo;just control a headless browser&amp;rdquo; toward &amp;ldquo;use a browser environment closer to real users.&amp;rdquo; For testing, agent experiments, and controlled research, it is worth watching. For real-world use, the important boundary is still compliance, authorization, and risk control.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>llama.cpp b9196 Update: Windows Prebuilt Binaries Support CUDA 13.1, Vulkan, HIP, and SYCL</title>
        <link>https://knightli.com/en/2026/05/18/llama-cpp-windows-cuda-vulkan-gguf/</link>
        <pubDate>Mon, 18 May 2026 23:20:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/18/llama-cpp-windows-cuda-vulkan-gguf/</guid>
        <description>&lt;p&gt;The recent Windows release of &lt;code&gt;llama.cpp&lt;/code&gt; is much friendlier for local LLM users. In the past, running GGUF models on Windows often meant dealing with environment issues: CUDA version mismatches, missing DLLs, incompatible drivers, failed CMake builds, wrong environment variables, or complicated Vulkan / HIP / SYCL setup.&lt;/p&gt;
&lt;p&gt;Now the official Release page provides several Windows prebuilt packages. In many cases, users no longer need to compile from source. Download the right build, unzip it, place the model file, and you can start a local inference service directly.&lt;/p&gt;
&lt;h2 id=&#34;what-llamacpp-is-good-for&#34;&gt;What llama.cpp Is Good For
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;llama.cpp&lt;/code&gt; is one of the most commonly used local GGUF model inference frameworks. It is lightweight, cross-platform, can run on CPU or GPU, and has a large ecosystem of GGUF model resources.&lt;/p&gt;
&lt;p&gt;Common model families include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Qwen&lt;/li&gt;
&lt;li&gt;Llama&lt;/li&gt;
&lt;li&gt;DeepSeek&lt;/li&gt;
&lt;li&gt;Gemma&lt;/li&gt;
&lt;li&gt;Mistral&lt;/li&gt;
&lt;li&gt;Mixtral&lt;/li&gt;
&lt;li&gt;Hermes&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;As GGUF quantized models become more common, many open source models now provide GGUF versions suitable for local deployment. For regular users, the value of &lt;code&gt;llama.cpp&lt;/code&gt; is simple: you do not need a full complex inference stack to run a usable chat service on your own machine.&lt;/p&gt;
&lt;h2 id=&#34;how-to-choose-a-windows-prebuilt-build&#34;&gt;How to Choose a Windows Prebuilt Build
&lt;/h2&gt;&lt;p&gt;Windows users can choose different builds based on their hardware:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Windows x64 CPU&lt;/li&gt;
&lt;li&gt;Windows x64 CUDA 12.4&lt;/li&gt;
&lt;li&gt;Windows x64 CUDA 13.1&lt;/li&gt;
&lt;li&gt;Windows x64 Vulkan&lt;/li&gt;
&lt;li&gt;Windows x64 HIP Radeon&lt;/li&gt;
&lt;li&gt;Windows x64 SYCL&lt;/li&gt;
&lt;li&gt;Windows ARM64 CPU&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you use an NVIDIA GPU, the CUDA build is usually the first choice. Cards such as RTX 3060, 4060, 4070, 4080, and 4090 are better suited to the CUDA route.&lt;/p&gt;
&lt;p&gt;If you use an AMD GPU, try HIP or Vulkan. In practice, Vulkan can sometimes be easier than HIP, especially if you do not want to set up a full ROCm environment.&lt;/p&gt;
&lt;p&gt;If you use Intel integrated graphics or an Arc GPU, try SYCL or Vulkan. Performance is usually behind NVIDIA CUDA, but it is already enough to test many small and medium GGUF models.&lt;/p&gt;
&lt;p&gt;The CPU build is suitable for users without a discrete GPU, or for those who only want to verify a model or run small models. It will not be fast, but deployment is the simplest.&lt;/p&gt;
&lt;h2 id=&#34;start-a-regular-gguf-model&#34;&gt;Start a Regular GGUF Model
&lt;/h2&gt;&lt;p&gt;Assume you have downloaded the &lt;code&gt;llama.cpp&lt;/code&gt; Windows prebuilt package and placed your model in the &lt;code&gt;models&lt;/code&gt; directory. Enter the extracted &lt;code&gt;llama.cpp&lt;/code&gt; directory and run:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-powershell&#34; data-lang=&#34;powershell&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;llama-server&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;py&#34;&gt;exe&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;-m&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;models&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;\&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;your-model&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;py&#34;&gt;gguf&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;-ngl&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;999&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Here, &lt;code&gt;-m&lt;/code&gt; points to the GGUF model file, and &lt;code&gt;-ngl 999&lt;/code&gt; tells llama.cpp to load as many layers as possible onto the GPU. The actual number depends on VRAM size, model size, and quantization format.&lt;/p&gt;
&lt;p&gt;After startup succeeds, open this address in your browser:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://127.0.0.1:8080
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You will enter the local web chat interface.&lt;/p&gt;
&lt;p&gt;If VRAM is not enough, switch to a smaller model or a lower quantization version, such as Q4 or Q5 GGUF files. Do not only look at parameter count; also check quantization format and context length settings.&lt;/p&gt;
&lt;h2 id=&#34;start-a-multimodal-vision-model&#34;&gt;Start a Multimodal Vision Model
&lt;/h2&gt;&lt;p&gt;Multimodal vision models usually need more than the main model file. They also need an &lt;code&gt;mmproj&lt;/code&gt; vision projection file. Start them by specifying both:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-powershell&#34; data-lang=&#34;powershell&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;llama-server&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;py&#34;&gt;exe&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;-m&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;models\main-model.gguf&amp;#34;&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;-&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;-mmproj&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;models\mmproj-model.gguf&amp;#34;&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;-ngl&lt;/span&gt; &lt;span class=&#34;mf&#34;&gt;999&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Common uses include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;OCR recognition&lt;/li&gt;
&lt;li&gt;Screenshot understanding&lt;/li&gt;
&lt;li&gt;Webpage screenshot analysis&lt;/li&gt;
&lt;li&gt;Image Q&amp;amp;A&lt;/li&gt;
&lt;li&gt;Simple visual content judgment&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For example, Qwen2-VL / Qwen2.5-VL models are useful for Chinese screenshot understanding, OCR, and image-text Q&amp;amp;A. Make sure the main model and &lt;code&gt;mmproj&lt;/code&gt; file match; version mismatches can easily cause loading failures or abnormal output.&lt;/p&gt;
&lt;h2 id=&#34;use-a-bat-script-to-manage-multiple-models&#34;&gt;Use a bat Script to Manage Multiple Models
&lt;/h2&gt;&lt;p&gt;If you keep multiple models locally, you can write a simple &lt;code&gt;.bat&lt;/code&gt; script to switch between them. The following example needs your own path and model names:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bat&#34; data-lang=&#34;bat&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;@&lt;/span&gt;&lt;span class=&#34;k&#34;&gt;echo&lt;/span&gt; off
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;chcp 65001 &lt;span class=&#34;p&#34;&gt;&amp;gt;&lt;/span&gt;nul
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;cd&lt;/span&gt; /d C:\path\to\llama-b9196-bin-win-cuda-13.1-x64
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;echo&lt;/span&gt; 请选择模型：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;echo&lt;/span&gt; 1. Gemma
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;echo&lt;/span&gt; 2. Qwen VL 多模态
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;echo&lt;/span&gt; 3. DeepSeek
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;set&lt;/span&gt; &lt;span class=&#34;k&#34;&gt;/p&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;choice&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;=&lt;/span&gt;输入数字：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;if&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;nv&#34;&gt;%choice%&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;==&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;1&amp;#34;&lt;/span&gt; llama-server.exe -m &lt;span class=&#34;s2&#34;&gt;&amp;#34;models\gemma.gguf&amp;#34;&lt;/span&gt; -ngl 999
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;if&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;nv&#34;&gt;%choice%&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;==&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;2&amp;#34;&lt;/span&gt; llama-server.exe -m &lt;span class=&#34;s2&#34;&gt;&amp;#34;models\qwen-vl.gguf&amp;#34;&lt;/span&gt; --mmproj &lt;span class=&#34;s2&#34;&gt;&amp;#34;models\mmproj.gguf&amp;#34;&lt;/span&gt; -ngl 999
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;if&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;nv&#34;&gt;%choice%&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;==&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;3&amp;#34;&lt;/span&gt; llama-server.exe -m &lt;span class=&#34;s2&#34;&gt;&amp;#34;models\deepseek.gguf&amp;#34;&lt;/span&gt; -ngl 999
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;pause&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Save it as UTF-8, then change the extension to &lt;code&gt;.bat&lt;/code&gt;. Double-clicking the script lets you choose different models by number.&lt;/p&gt;
&lt;h2 id=&#34;three-things-to-check-when-choosing-models&#34;&gt;Three Things to Check When Choosing Models
&lt;/h2&gt;&lt;p&gt;First, check hardware. More VRAM means you can run larger models. If VRAM is limited, do not force a large model; start with 7B, 8B, or a lower quantization version.&lt;/p&gt;
&lt;p&gt;Second, check the use case. For everyday Q&amp;amp;A, summarization, and rewriting, small models or medium quantization are often enough. For coding, long-document analysis, or multimodal understanding, you need stronger models and more VRAM.&lt;/p&gt;
&lt;p&gt;Third, check licenses and safety boundaries. Many community-modified models have different capabilities, restrictions, and licenses. Before downloading, confirm the source, license, intended use, and risks. Do not hand production work directly to models from unclear sources.&lt;/p&gt;
&lt;h2 id=&#34;common-issues&#34;&gt;Common Issues
&lt;/h2&gt;&lt;p&gt;If startup reports missing DLLs, first confirm that the downloaded package matches your GPU route. NVIDIA users should not download the HIP build by mistake, and AMD users should not download the CUDA build.&lt;/p&gt;
&lt;p&gt;If model loading is slow, the model may be too large, the disk may be slow, or part of the model may be falling back to CPU due to insufficient VRAM.&lt;/p&gt;
&lt;p&gt;If the web page does not open, check whether the command line service started successfully, then confirm the port is &lt;code&gt;8080&lt;/code&gt;. If the port is occupied, check &lt;code&gt;llama-server&lt;/code&gt; parameters and change the port.&lt;/p&gt;
&lt;p&gt;If a multimodal model behaves incorrectly, first check whether the &lt;code&gt;mmproj&lt;/code&gt; file matches the main model instead of only changing prompts.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The value of these Windows prebuilt packages is that they lower the entry barrier for local AI. Many users previously got stuck at compilation and dependency setup. Now they can move faster into downloading models, starting a service, and testing results.&lt;/p&gt;
&lt;p&gt;For Windows users, the route can be summarized simply:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;NVIDIA: prefer CUDA.&lt;/li&gt;
&lt;li&gt;AMD: try Vulkan first, then HIP.&lt;/li&gt;
&lt;li&gt;Intel: try SYCL or Vulkan.&lt;/li&gt;
&lt;li&gt;No discrete GPU: use the CPU build for small models.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Before real use, still confirm model source, license, VRAM needs, and actual results. Local AI gives you control, offline operation, and low latency, but it is not free of cost: model management, hardware resources, and output quality are still your responsibility.&lt;/p&gt;
&lt;p&gt;Source: &lt;a class=&#34;link&#34; href=&#34;https://www.freedidi.com/24211.html&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.freedidi.com/24211.html&lt;/a&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>A Survey of Mainstream AI PPT Tools: How to Choose Between Auto Generation, Web Slides, PPTX, and Image-Based Workflows</title>
        <link>https://knightli.com/en/2026/05/18/ai-ppt-skills-selection-guide/</link>
        <pubDate>Mon, 18 May 2026 22:29:43 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/18/ai-ppt-skills-selection-guide/</guid>
        <description>&lt;p&gt;AI for PPT is no longer just &amp;ldquo;enter a title and apply a template.&amp;rdquo; In AI coding environments such as Claude Code, Codex, and Cursor, PPT generation is becoming a set of installable, reusable Agent Skills: some output web presentations, some generate truly editable &lt;code&gt;.pptx&lt;/code&gt; files, some use image models to turn each slide into a visual draft, and some let AI operate PowerPoint files through MCP.&lt;/p&gt;
&lt;p&gt;This article looks at a group of mainstream PPT-related Skills. The useful part is not only the list itself, but the way these tools can be separated by delivery format. Before choosing a tool, ask one question first: who will edit the final deliverable, where will it be presented, and does it need ongoing collaboration?&lt;/p&gt;
&lt;h2 id=&#34;several-routes&#34;&gt;Several Routes
&lt;/h2&gt;&lt;h3 id=&#34;1-html-web-presentations&#34;&gt;1. HTML Web Presentations
&lt;/h3&gt;&lt;p&gt;Representative projects include &lt;a class=&#34;link&#34; href=&#34;https://github.com/zarazhangrui/frontend-slides&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;frontend-slides&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/09/guizang-ppt-skill-huashu-design-agent-skills/&#34; &gt;guizang-ppt-skill&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/lewislulu/html-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;html-ppt-skill&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;The strength of this route is visual expressiveness. CSS animations, Canvas, WebGL, and responsive layouts are all available. The result can be opened directly in a browser, making it suitable for technical talks, product launches, Demo Day presentations, and talks with a strong personal style.&lt;/p&gt;
&lt;p&gt;The trade-off is also clear: after delivery, it is not ideal for clients who need to edit text line by line. If the client receives HTML instead of a PowerPoint file, later changes often need to go back through the generation workflow.&lt;/p&gt;
&lt;p&gt;If you only care about HTML presentations, &lt;a class=&#34;link&#34; href=&#34;https://github.com/zarazhangrui/frontend-slides&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;frontend-slides&lt;/a&gt; feels like a high-star general entry point, &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/09/guizang-ppt-skill-huashu-design-agent-skills/&#34; &gt;guizang-ppt-skill&lt;/a&gt; is stronger in aesthetic constraints and themed style, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/lewislulu/html-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;html-ppt-skill&lt;/a&gt; stands out for its number of themes, layout options, and presenter mode.&lt;/p&gt;
&lt;h3 id=&#34;2-native-pptx&#34;&gt;2. Native PPTX
&lt;/h3&gt;&lt;p&gt;Representative projects include &lt;a class=&#34;link&#34; href=&#34;https://github.com/seulee26/mckinsey-pptx&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;mckinsey-pptx&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://github.com/sunbigfly/ppt-agent-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-agent-skills&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://github.com/tfriedel/claude-office-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;claude-office-skills&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/hugohe3/ppt-master&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-master&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;This is the most stable route for business delivery. As long as the client asks to &amp;ldquo;edit text, change images, and apply a company template in PowerPoint,&amp;rdquo; the final output needs to land in &lt;code&gt;.pptx&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/hugohe3/ppt-master&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-master&lt;/a&gt; is especially worth a separate look. Its idea is to have the LLM generate SVG first, then convert it into native PowerPoint DrawingML objects. The goal is to keep text boxes, shapes, and charts editable inside PPTX. It also supports generating PPTX from PDF, DOCX, URL, and Markdown, as well as template replication, animation, narration, and local preview.&lt;/p&gt;
&lt;p&gt;This route works well for consulting deliverables, company reports, white paper presentations, and turning long reports into PPT decks. The downside is that the visual ceiling is usually limited by PowerPoint itself, so complex effects are not as free as HTML or image-based routes.&lt;/p&gt;
&lt;h3 id=&#34;3-ai-image-driven-workflows&#34;&gt;3. AI Image-Driven Workflows
&lt;/h3&gt;&lt;p&gt;Representative projects include &lt;a class=&#34;link&#34; href=&#34;https://github.com/op7418/NanoBanana-PPT-Skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;NanoBanana-PPT-Skills&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://github.com/wuyoscar/gpt_image_2_skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;gpt_image_2_skill&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/NyxTides/ppt-image-first&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-image-first&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;This route treats each slide as a visual image first, then places the images into PPTX or another container. Its advantage is a high level of visual completion, especially for covers, social media graphics, visual proposals, and communication-oriented content.&lt;/p&gt;
&lt;p&gt;The problem is poor editability. A page is essentially an image. If you later need to change a title, replace a paragraph, or move an icon, you may need to regenerate it. It is good for &amp;ldquo;it needs to look good,&amp;rdquo; but not for &amp;ldquo;the client will revise it repeatedly.&amp;rdquo;&lt;/p&gt;
&lt;h3 id=&#34;4-mcp--protocol-layer&#34;&gt;4. MCP / Protocol Layer
&lt;/h3&gt;&lt;p&gt;Representative projects include &lt;a class=&#34;link&#34; href=&#34;https://github.com/GongRzhe/Office-PowerPoint-MCP-Server&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Office-PowerPoint-MCP-Server&lt;/a&gt; and &lt;a class=&#34;link&#34; href=&#34;https://github.com/icip-cas/PPTAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;PPTAgent&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;These tools do not necessarily generate a complete PPT directly. Instead, they give AI an interface for operating PowerPoint. After connecting through MCP, the model can read, modify, and write &lt;code&gt;.pptx&lt;/code&gt; files.&lt;/p&gt;
&lt;p&gt;This route fits workflows where a PPT file already exists and AI is needed to help revise it. Examples include batch format changes, rearranging pages based on feedback, or asking the model to check whether each slide matches the goal. &lt;a class=&#34;link&#34; href=&#34;https://github.com/icip-cas/PPTAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;PPTAgent&lt;/a&gt; emphasizes reflective generation, meaning it checks back after generating each slide. That direction is useful for reducing the &amp;ldquo;AI PPT feels rough&amp;rdquo; problem.&lt;/p&gt;
&lt;h3 id=&#34;5-integrated-design-platforms&#34;&gt;5. Integrated Design Platforms
&lt;/h3&gt;&lt;p&gt;Representative projects include &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/18/open-design-open-source-claude-design-alternative/&#34; &gt;open-design&lt;/a&gt; and &lt;a class=&#34;link&#34; href=&#34;https://github.com/docsagent/docsagent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;docsagent&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;These projects go beyond PPT generation itself. &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/18/open-design-open-source-claude-design-alternative/&#34; &gt;open-design&lt;/a&gt; is more like a local-first design platform that can generate prototypes, slides, images, and videos, with support for multiple export formats. &lt;a class=&#34;link&#34; href=&#34;https://github.com/docsagent/docsagent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;docsagent&lt;/a&gt; is not a PPT tool, but it can index and chat with local documents, making it useful as a material organization layer before generating PPT.&lt;/p&gt;
&lt;p&gt;If your need is not a one-off PPT, but a fuller workflow from materials, design, and prototypes to delivery, this type of platform is more worth watching.&lt;/p&gt;
&lt;h2 id=&#34;skill-metadata&#34;&gt;Skill Metadata
&lt;/h2&gt;&lt;p&gt;Star counts come from the original crawl result on 2026-05-15. They are only useful as a popularity reference. Before actual use, open the repositories again to confirm maintenance status, README, and LICENSE.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Skill&lt;/th&gt;
          &lt;th&gt;Author&lt;/th&gt;
          &lt;th&gt;Links&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Star&lt;/th&gt;
          &lt;th&gt;Language&lt;/th&gt;
          &lt;th&gt;Route&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;frontend-slides&lt;/td&gt;
          &lt;td&gt;@zarazhangrui&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/zarazhangrui/frontend-slides&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;zarazhangrui/frontend-slides&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;17,530&lt;/td&gt;
          &lt;td&gt;Shell&lt;/td&gt;
          &lt;td&gt;HTML web presentation&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;guizang-ppt-skill&lt;/td&gt;
          &lt;td&gt;@op7418 (Guizang)&lt;/td&gt;
          &lt;td&gt;Site article: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/09/guizang-ppt-skill-huashu-design-agent-skills/&#34; &gt;guizang-ppt-skill&lt;/a&gt;&lt;br&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/op7418/guizang-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;op7418/guizang-ppt-skill&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;8,832&lt;/td&gt;
          &lt;td&gt;HTML&lt;/td&gt;
          &lt;td&gt;HTML web presentation&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;html-ppt-skill&lt;/td&gt;
          &lt;td&gt;@lewislulu&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/lewislulu/html-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;lewislulu/html-ppt-skill&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;3,834&lt;/td&gt;
          &lt;td&gt;HTML/CSS/JS&lt;/td&gt;
          &lt;td&gt;HTML web presentation&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;mckinsey-pptx&lt;/td&gt;
          &lt;td&gt;@seulee26&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/seulee26/mckinsey-pptx&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;seulee26/mckinsey-pptx&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;426&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;Native PPTX&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;ppt-agent-skills&lt;/td&gt;
          &lt;td&gt;@sunbigfly&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/sunbigfly/ppt-agent-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;sunbigfly/ppt-agent-skills&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;714&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;Native PPTX&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;claude-office-skills&lt;/td&gt;
          &lt;td&gt;@tfriedel&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/tfriedel/claude-office-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;tfriedel/claude-office-skills&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;631&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;Native PPTX&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;ppt-master&lt;/td&gt;
          &lt;td&gt;@hugohe3&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/hugohe3/ppt-master&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;hugohe3/ppt-master&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;16,626&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;Native PPTX&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;NanoBanana-PPT-Skills&lt;/td&gt;
          &lt;td&gt;@op7418 (Guizang)&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/op7418/NanoBanana-PPT-Skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;op7418/NanoBanana-PPT-Skills&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;2,668&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;AI image-driven&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;gpt_image_2_skill&lt;/td&gt;
          &lt;td&gt;@wuyoscar&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/wuyoscar/gpt_image_2_skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;wuyoscar/gpt_image_2_skill&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;2,102&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;AI image-driven&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;ppt-image-first&lt;/td&gt;
          &lt;td&gt;@NyxTides&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/NyxTides/ppt-image-first&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;NyxTides/ppt-image-first&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;799&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;AI image-driven&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Office-PowerPoint-MCP-Server&lt;/td&gt;
          &lt;td&gt;@GongRzhe&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/GongRzhe/Office-PowerPoint-MCP-Server&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;GongRzhe/Office-PowerPoint-MCP-Server&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;1,708&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;MCP / protocol layer&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;PPTAgent&lt;/td&gt;
          &lt;td&gt;@icip-cas&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/icip-cas/PPTAgent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;icip-cas/PPTAgent&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;4,354&lt;/td&gt;
          &lt;td&gt;Python&lt;/td&gt;
          &lt;td&gt;MCP / protocol layer&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;open-design&lt;/td&gt;
          &lt;td&gt;@nexu-io&lt;/td&gt;
          &lt;td&gt;Site article: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/18/open-design-open-source-claude-design-alternative/&#34; &gt;open-design&lt;/a&gt;&lt;br&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/nexu-io/open-design&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;nexu-io/open-design&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;40,822&lt;/td&gt;
          &lt;td&gt;TypeScript&lt;/td&gt;
          &lt;td&gt;Integrated design platform&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;docsagent&lt;/td&gt;
          &lt;td&gt;@docsagent&lt;/td&gt;
          &lt;td&gt;GitHub: &lt;a class=&#34;link&#34; href=&#34;https://github.com/docsagent/docsagent&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;docsagent/docsagent&lt;/a&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;687&lt;/td&gt;
          &lt;td&gt;TypeScript&lt;/td&gt;
          &lt;td&gt;Integrated design platform&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;how-to-choose&#34;&gt;How to Choose
&lt;/h2&gt;&lt;p&gt;If the client needs to continue editing, prioritize the native PPTX route, especially &lt;a class=&#34;link&#34; href=&#34;https://github.com/hugohe3/ppt-master&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-master&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://github.com/seulee26/mckinsey-pptx&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;mckinsey-pptx&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/sunbigfly/ppt-agent-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-agent-skills&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;If you are presenting yourself and visual expression matters more than later editing, prioritize the HTML route, especially &lt;a class=&#34;link&#34; href=&#34;https://github.com/zarazhangrui/frontend-slides&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;frontend-slides&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/09/guizang-ppt-skill-huashu-design-agent-skills/&#34; &gt;guizang-ppt-skill&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/lewislulu/html-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;html-ppt-skill&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;If the goal is a poster-like, cover-like, or shareable visual, prioritize the image route, such as &lt;a class=&#34;link&#34; href=&#34;https://github.com/NyxTides/ppt-image-first&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;ppt-image-first&lt;/a&gt;, &lt;a class=&#34;link&#34; href=&#34;https://github.com/wuyoscar/gpt_image_2_skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;gpt_image_2_skill&lt;/a&gt;, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/op7418/NanoBanana-PPT-Skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;NanoBanana-PPT-Skills&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;If you already have a PPT file and only want AI to help read, edit, and rearrange it, look at the MCP route.&lt;/p&gt;
&lt;p&gt;For explicit scenarios such as academic talks, marketing, translation, or compressing long reports into slides, you can also look for vertical Skills instead of forcing a general-purpose PPT generator to do everything.&lt;/p&gt;
&lt;h2 id=&#34;final-notes&#34;&gt;Final Notes
&lt;/h2&gt;&lt;p&gt;Open source projects should not be judged by Star count alone. Before actual use, confirm three things:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether the LICENSE allows your use case.&lt;/li&gt;
&lt;li&gt;Whether the generated output meets delivery requirements, especially editability.&lt;/li&gt;
&lt;li&gt;Whether the cost is acceptable, including model calls, image generation, large-context models, and possible cloud service fees.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These tools change quickly. Star counts will change, and project maintenance status will change too. But the selection logic is relatively stable: decide the delivery format first, then look at specific tools. Whether a PPT is for speaking, editing, or viewing often narrows the choices by more than half.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Scientific Agent Skills: a skill library that gives AI Agents scientific workflows</title>
        <link>https://knightli.com/en/2026/05/17/scientific-agent-skills/</link>
        <pubDate>Sun, 17 May 2026 17:52:04 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/17/scientific-agent-skills/</guid>
        <description>&lt;p&gt;&lt;code&gt;K-Dense-AI/scientific-agent-skills&lt;/code&gt; is an Agent Skills collection for scientific and research work.&lt;/p&gt;
&lt;p&gt;Its goal is not to create yet another chatbot. Instead, it turns common research tasks such as reading documentation, querying databases, writing analysis scripts, processing files, creating charts, and preparing reports into skills that an AI Agent can discover and call.&lt;/p&gt;
&lt;p&gt;Project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/K-Dense-AI/scientific-agent-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/K-Dense-AI/scientific-agent-skills&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;As of 2026-05-17, the GitHub API showed about 23.4k stars, 2.5k forks, an MIT license, and a latest push time of 2026-05-11. The README says the repository contains 135 ready-to-use scientific and research skills, while the &lt;code&gt;scientific-skills&lt;/code&gt; directory currently shows 137 entries through the GitHub API. The difference may come from counting rules, recent additions, or README lag.&lt;/p&gt;
&lt;h2 id=&#34;bottom-line&#34;&gt;Bottom line
&lt;/h2&gt;&lt;p&gt;Scientific Agent Skills is useful if you already use Codex, Claude Code, Cursor, Gemini CLI, or another tool that supports the Agent Skills standard.&lt;/p&gt;
&lt;p&gt;Its value is mainly in three areas:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;It writes scientific toolchain usage into &lt;code&gt;SKILL.md&lt;/code&gt;, so the agent does not have to guess how a library works every time.&lt;/li&gt;
&lt;li&gt;It organizes common scientific databases, Python packages, document processing, scientific writing, and visualization workflows into one skill collection.&lt;/li&gt;
&lt;li&gt;It makes an AI Agent feel more like a workflow-capable research assistant, not just a concept-answering bot.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;But it is not a magic button that automatically does science after installation. Skills can help an agent choose the right tools and generate more reliable code and workflows, but data quality, experimental design, statistical assumptions, clinical decisions, and research conclusions still require human judgment.&lt;/p&gt;
&lt;h2 id=&#34;what-it-includes&#34;&gt;What it includes
&lt;/h2&gt;&lt;p&gt;The README describes the project as a skill collection for research, scientific computing, engineering, analysis, finance, and writing. Major areas include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Bioinformatics and genomics.&lt;/li&gt;
&lt;li&gt;Cheminformatics and drug discovery.&lt;/li&gt;
&lt;li&gt;Proteomics and mass spectrometry.&lt;/li&gt;
&lt;li&gt;Clinical research and precision medicine.&lt;/li&gt;
&lt;li&gt;Healthcare AI and clinical machine learning.&lt;/li&gt;
&lt;li&gt;Medical imaging and digital pathology.&lt;/li&gt;
&lt;li&gt;Machine learning and AI.&lt;/li&gt;
&lt;li&gt;Materials science and chemistry.&lt;/li&gt;
&lt;li&gt;Physics and astronomy.&lt;/li&gt;
&lt;li&gt;Engineering simulation and optimization.&lt;/li&gt;
&lt;li&gt;Data analysis and visualization.&lt;/li&gt;
&lt;li&gt;Geospatial science and remote sensing.&lt;/li&gt;
&lt;li&gt;Laboratory automation.&lt;/li&gt;
&lt;li&gt;Scientific writing, literature review, peer review, and citation management.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The point of these skills is not to limit an agent to specific libraries. The README also says the agent can still write Python and call any available API or package. The skills provide curated documentation, examples, best practices, and integration paths.&lt;/p&gt;
&lt;p&gt;In other words, it is closer to a collection of “scientific tool manuals + workflow templates + agent calling conventions.”&lt;/p&gt;
&lt;h2 id=&#34;database-and-python-package-coverage&#34;&gt;Database and Python package coverage
&lt;/h2&gt;&lt;p&gt;The most attractive part for researchers is the coverage of scientific databases and the Python ecosystem.&lt;/p&gt;
&lt;p&gt;The README mentions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Unified access to 78 public databases through &lt;code&gt;database-lookup&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Coverage of PubChem, ChEMBL, UniProt, COSMIC, ClinicalTrials.gov, FRED, USPTO, and more.&lt;/li&gt;
&lt;li&gt;Dedicated access skills for DepMap, Imaging Data Commons, PrimeKG, U.S. Treasury Fiscal Data, Hugging Science, and others.&lt;/li&gt;
&lt;li&gt;More than 70 optimized Python Package Skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The directory includes many familiar names:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;rdkit&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;scanpy&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;biopython&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;bioservices&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;pydeseq2&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;scvelo&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;scvi-tools&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;pymatgen&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;qiskit&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;pennylane&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openmm&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;mdanalysis&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;scikit-learn&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;statsmodels&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;matplotlib&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;seaborn&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;networkx&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;sympy&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;pytorch-lightning&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;transformers&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;timesfm-forecasting&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For developers, these libraries are not surprising by themselves. What matters is that an agent can read library-specific constraints, examples, workflows, and caveats while doing a task. That is more stable than relying only on old model memory.&lt;/p&gt;
&lt;h2 id=&#34;typical-scenarios&#34;&gt;Typical scenarios
&lt;/h2&gt;&lt;p&gt;Scientific Agent Skills is better suited to multi-step research tasks than single-turn Q&amp;amp;A.&lt;/p&gt;
&lt;p&gt;For drug discovery, an agent might query ChEMBL for EGFR inhibitors, analyze structure-activity relationships with RDKit, run virtual screening with DiffDock, search the literature, and generate a report.&lt;/p&gt;
&lt;p&gt;For single-cell analysis, it might load 10X data into Scanpy, perform QC, integrate datasets, identify cell types, run differential expression, and do pathway enrichment.&lt;/p&gt;
&lt;p&gt;For multi-omics, it might connect RNA-seq, mass spectrometry, metabolites, protein interactions, clinical trials, and statistical modeling.&lt;/p&gt;
&lt;p&gt;Without skills, these tasks can easily become “the agent knows the general direction, but you have to remind it at every step.” The value of a skill library is to preserve these high-frequency paths so the agent takes fewer wrong turns.&lt;/p&gt;
&lt;h2 id=&#34;installation&#34;&gt;Installation
&lt;/h2&gt;&lt;p&gt;The README recommends the standard Agent Skills tool:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npx skills add K-Dense-AI/scientific-agent-skills
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you use GitHub CLI &lt;code&gt;v2.90.0+&lt;/code&gt;, you can also install with &lt;code&gt;gh skill&lt;/code&gt;:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Install a specific skill:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills scanpy
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Target a specific agent:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills --agent codex
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills --agent cursor
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills --agent claude-code
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills --agent gemini
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For reproducibility, pin a release tag or commit SHA:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills --pin v1.0.0
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;gh skill install K-Dense-AI/scientific-agent-skills --pin abc123def
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This matters in research. The worst situation is “it ran last week, the result changed this week, and nobody knows why.” If a skill participates in analysis, record the skill version, dependency versions, and data version together.&lt;/p&gt;
&lt;h2 id=&#34;runtime-requirements&#34;&gt;Runtime requirements
&lt;/h2&gt;&lt;p&gt;The README lists:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Python 3.11+, with 3.12+ recommended.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;uv&lt;/code&gt; for installing Python dependencies.&lt;/li&gt;
&lt;li&gt;A client that supports the Agent Skills standard.&lt;/li&gt;
&lt;li&gt;macOS, Linux, or Windows with WSL2.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Windows users should pay attention to the WSL2 detail. Many scientific computing libraries can run on native Windows, but dependency chains, compilers, binary wheels, and path behavior are more likely to cause trouble. The README’s “Windows with WSL2” wording suggests a Unix-like research computing environment is the better target.&lt;/p&gt;
&lt;h2 id=&#34;how-this-differs-from-a-prompt-collection&#34;&gt;How this differs from a prompt collection
&lt;/h2&gt;&lt;p&gt;A regular prompt collection usually tells the model how to answer. Scientific Agent Skills goes further: it describes tools, libraries, databases, and workflows as discoverable skills.&lt;/p&gt;
&lt;p&gt;The practical differences are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A skill can contain structured instructions and example code.&lt;/li&gt;
&lt;li&gt;A skill can be maintained around a specific library or database.&lt;/li&gt;
&lt;li&gt;An agent can choose relevant skills by task instead of stuffing every rule into the system prompt.&lt;/li&gt;
&lt;li&gt;A team can install only the skills it needs and reduce context noise.&lt;/li&gt;
&lt;li&gt;Skills can be versioned, reviewed, and updated with the repository.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For complex research work, this is easier to maintain than copying one giant universal prompt. Models change, databases change, and Python packages change. Capturing those changes in skills is more controllable than scattering them across personal prompt documents.&lt;/p&gt;
&lt;h2 id=&#34;security-and-trust-boundaries&#34;&gt;Security and trust boundaries
&lt;/h2&gt;&lt;p&gt;The README’s security warning is direct: Skills can execute code and affect coding-agent behavior.&lt;/p&gt;
&lt;p&gt;That matters. Research skills may:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Install Python dependencies.&lt;/li&gt;
&lt;li&gt;Access network databases.&lt;/li&gt;
&lt;li&gt;Read and write local files.&lt;/li&gt;
&lt;li&gt;Run analysis scripts.&lt;/li&gt;
&lt;li&gt;Process sensitive experimental or clinical data.&lt;/li&gt;
&lt;li&gt;Generate reports that people may later cite.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So do not blindly install every skill. A safer approach is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Install only the skills required for the current task.&lt;/li&gt;
&lt;li&gt;Read the relevant &lt;code&gt;SKILL.md&lt;/code&gt; before installation.&lt;/li&gt;
&lt;li&gt;Check which packages, APIs, files, and external services the skill may call.&lt;/li&gt;
&lt;li&gt;Be extra careful with community-contributed skills.&lt;/li&gt;
&lt;li&gt;Run data-processing and code-execution tasks in an isolated environment.&lt;/li&gt;
&lt;li&gt;Keep human review for research conclusions, clinical suggestions, and statistical results.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The README also mentions Cisco AI Defense Skill Scanner and suggests local scanning of third-party skills. Scanning does not replace human review, but it shows that the maintainers are aware of skill supply-chain risk.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who it is for
&lt;/h2&gt;&lt;p&gt;This project is most useful for people who:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Already use AI coding agents daily.&lt;/li&gt;
&lt;li&gt;Often process scientific data, papers, charts, and reports.&lt;/li&gt;
&lt;li&gt;Need to move frequently across the Python scientific ecosystem.&lt;/li&gt;
&lt;li&gt;Want an agent to execute multi-step analysis instead of just explaining concepts.&lt;/li&gt;
&lt;li&gt;Want a team to turn research workflows into reusable skills.&lt;/li&gt;
&lt;li&gt;Want to study how the Agent Skills standard applies to professional domains.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is less suitable if:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You only want AI to explain a paper once in a while.&lt;/li&gt;
&lt;li&gt;You do not have a local Python environment or do not want to manage dependencies.&lt;/li&gt;
&lt;li&gt;You do not yet control data privacy, network access, and code-execution boundaries.&lt;/li&gt;
&lt;li&gt;You need a strictly compliant clinical or production decision system without human review and validation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For one-off analysis, asking the agent to write a script may be lighter. If you repeat similar research workflows often, the skill library becomes more valuable.&lt;/p&gt;
&lt;h2 id=&#34;usage-advice&#34;&gt;Usage advice
&lt;/h2&gt;&lt;p&gt;Do not start by installing the entire repository and handing every task to the agent.&lt;/p&gt;
&lt;p&gt;A more practical path is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Choose a low-risk task, such as literature organization, chart generation, or public-data exploration.&lt;/li&gt;
&lt;li&gt;Install only relevant skills, such as &lt;code&gt;literature-review&lt;/code&gt;, &lt;code&gt;scientific-writing&lt;/code&gt;, &lt;code&gt;scanpy&lt;/code&gt;, or &lt;code&gt;rdkit&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Ask the agent to explain the plan before running code.&lt;/li&gt;
&lt;li&gt;Preserve input data, scripts, environment, and skill versions.&lt;/li&gt;
&lt;li&gt;Review outputs manually.&lt;/li&gt;
&lt;li&gt;If the workflow stabilizes, write it into your team’s SOP or custom skill.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The key to a research agent is not automating everything. It is handing repetitive, tedious, documentation-heavy work to tools while leaving judgment, assumptions, and conclusions to humans.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Scientific Agent Skills matters because it pushes Agent Skills from general programming into research.&lt;/p&gt;
&lt;p&gt;Scientific work is naturally multi-tool, multi-database, multi-file, and multi-step. Chat-style prompts alone rarely cover these details reliably. This project turns common scientific libraries, data sources, and research workflows into skills, making it easier for an AI Agent to enter real research workflows.&lt;/p&gt;
&lt;p&gt;But the stronger it is, the more it needs boundaries. Skills can affect agent behavior, run code, access the network, and process files. Read the skill before installing it, isolate execution, and never skip human validation of research conclusions.&lt;/p&gt;
&lt;p&gt;If you already use Codex, Claude Code, Cursor, or Gemini CLI for research and data analysis, Scientific Agent Skills is worth a careful look. Even if you do not install it wholesale, its way of splitting skills is a useful reference for building team research AI workflows.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/K-Dense-AI/scientific-agent-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;K-Dense-AI/scientific-agent-skills&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/K-Dense-AI/scientific-agent-skills/blob/main/README.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;README&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://agentskills.io/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Agent Skills standard&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/K-Dense-AI/k-dense-byok&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;K-Dense BYOK&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.blog/changelog/2026-04-16-manage-agent-skills-with-github-cli/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;GitHub CLI gh skill changelog&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>ai-goofish-monitor: An Open-Source AI Monitoring System for Goofish Listings</title>
        <link>https://knightli.com/en/2026/05/17/ai-goofish-monitor/</link>
        <pubDate>Sun, 17 May 2026 17:24:03 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/17/ai-goofish-monitor/</guid>
        <description>&lt;p&gt;ai-goofish-monitor is an open-source Goofish product monitoring system from Usagi-org.&lt;/p&gt;
&lt;p&gt;Its goal is clear: automate Goofish search, filtering, product analysis, result logging, and notifications, so users can find matching second-hand listings faster. The project uses Playwright for browser automation and connects to image-capable AI models to judge product information more intelligently.&lt;/p&gt;
&lt;p&gt;Project link: &lt;a class=&#34;link&#34; href=&#34;https://github.com/Usagi-org/ai-goofish-monitor&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/Usagi-org/ai-goofish-monitor&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;the-short-version&#34;&gt;The Short Version
&lt;/h2&gt;&lt;p&gt;ai-goofish-monitor is closer to a &amp;ldquo;Goofish purchasing intelligence dashboard&amp;rdquo; than a simple keyword alert script.&lt;/p&gt;
&lt;p&gt;It has several notable traits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A complete web admin UI for managing tasks, accounts, AI criteria, logs, and results.&lt;/li&gt;
&lt;li&gt;Concurrent multi-task monitoring, where each task can define keywords, price range, filters, and AI Prompt.&lt;/li&gt;
&lt;li&gt;Playwright-based page automation, useful for scenarios that require login state and page interaction.&lt;/li&gt;
&lt;li&gt;AI-based product judgment, not just keyword matching.&lt;/li&gt;
&lt;li&gt;Notifications through ntfy.sh, WeCom, Bark, Telegram, Webhook, and other channels.&lt;/li&gt;
&lt;li&gt;Cron scheduling, multi-account management, proxy rotation, retry handling, and Docker deployment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It fits users who often search Goofish for specific items, such as second-hand electronics, cameras, GPUs, hard drives, game consoles, musical instruments, appliances, and collectibles. But it is not an &amp;ldquo;automatic bargain hunter.&amp;rdquo; Goofish search results change, login states may expire, and platform risk controls can affect automation stability. Treat it as an assisted filtering tool, not a replacement for human judgment.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-it-solves&#34;&gt;What Problem It Solves
&lt;/h2&gt;&lt;p&gt;Finding second-hand products on Goofish often has several pain points:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;There are too many listings to browse manually.&lt;/li&gt;
&lt;li&gt;Titles and descriptions are inconsistent, so keywords can miss or misclassify listings.&lt;/li&gt;
&lt;li&gt;Good prices appear briefly and may be gone by the time you see them.&lt;/li&gt;
&lt;li&gt;The same product may differ by region, price, condition, and seller.&lt;/li&gt;
&lt;li&gt;Low-priced listings can include accessories, damaged goods, refurbished items, or misleading titles.&lt;/li&gt;
&lt;li&gt;Watching multiple keywords continuously is hard to sustain manually.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Basic keyword alerts solve only part of this. Searching for &amp;ldquo;ThinkPad X1&amp;rdquo; may mix in accessories, broken screens, empty boxes, or disassembled parts. Searching for &amp;ldquo;Sony A7C&amp;rdquo; may return lens bundles, rentals, clickbait titles, or abnormal prices.&lt;/p&gt;
&lt;p&gt;ai-goofish-monitor&amp;rsquo;s idea is to use automation to collect candidate listings, then let AI apply your criteria, and finally push the results worth attention.&lt;/p&gt;
&lt;h2 id=&#34;core-features&#34;&gt;Core Features
&lt;/h2&gt;&lt;p&gt;The project README lists a fairly complete feature set:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Visual web management: task management, account management, AI criteria editing, run logs, and result browsing.&lt;/li&gt;
&lt;li&gt;AI-driven workflow: create tasks with natural language and analyze products with multimodal models.&lt;/li&gt;
&lt;li&gt;Concurrent tasks: each task can define keywords, prices, filters, and AI Prompt independently.&lt;/li&gt;
&lt;li&gt;Advanced filters: free shipping, newly listed time range, and province / city / district filtering.&lt;/li&gt;
&lt;li&gt;Instant notifications: ntfy.sh, WeCom, Bark, Telegram, Webhook, and more.&lt;/li&gt;
&lt;li&gt;Scheduled execution: Cron-based periodic tasks.&lt;/li&gt;
&lt;li&gt;Account and proxy rotation: multi-account management, task-account binding, proxy pool rotation, and retry handling.&lt;/li&gt;
&lt;li&gt;Docker deployment: containerized deployment support.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Together, these cover the full chain from creating a monitoring task to receiving a matching alert.&lt;/p&gt;
&lt;h2 id=&#34;workflow&#34;&gt;Workflow
&lt;/h2&gt;&lt;p&gt;A typical workflow looks like this:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Deploy the service and open the Web UI.&lt;/li&gt;
&lt;li&gt;Import Goofish account login state.&lt;/li&gt;
&lt;li&gt;Create a monitoring task.&lt;/li&gt;
&lt;li&gt;Set keywords, price range, region, newly listed window, and other filters.&lt;/li&gt;
&lt;li&gt;Write criteria or let AI generate them.&lt;/li&gt;
&lt;li&gt;Run the task in real-time or on a schedule.&lt;/li&gt;
&lt;li&gt;Playwright opens pages and extracts product information.&lt;/li&gt;
&lt;li&gt;AI checks title, description, images, and Prompt against your needs.&lt;/li&gt;
&lt;li&gt;Matching results are written to SQLite.&lt;/li&gt;
&lt;li&gt;The system sends notifications through configured channels.&lt;/li&gt;
&lt;li&gt;You review results, logs, and price history in the Web UI.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;AI matters most at step 8. It can understand natural language criteria like &amp;ldquo;good condition, reasonable price, no accessories, no repaired units, preferably local pickup,&amp;rdquo; which is more flexible than simple keyword rules.&lt;/p&gt;
&lt;h2 id=&#34;docker-deployment&#34;&gt;Docker Deployment
&lt;/h2&gt;&lt;p&gt;The project recommends Docker deployment:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/Usagi-org/ai-goofish-monitor &lt;span class=&#34;o&#34;&gt;&amp;amp;&amp;amp;&lt;/span&gt; &lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; ai-goofish-monitor
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cp .env.example .env
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;vim .env
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose up -d
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose logs -f app
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose down
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The default Web UI address is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://127.0.0.1:8000
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The official image is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ghcr.io/usagi-org/ai-goofish:latest
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If the image pulls slowly, the README also gives an accelerated mirror example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker pull ghcr.nju.edu.cn/usagi-org/ai-goofish:latest
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker tag ghcr.nju.edu.cn/usagi-org/ai-goofish:latest ghcr.io/usagi-org/ai-goofish:latest
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose up -d
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The Docker image includes Chromium, so the host does not need an extra browser. Default persistent directories include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;data/&lt;/code&gt;: main SQLite storage for tasks, results, and price history.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;state/&lt;/code&gt;: login-state cookie files.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;prompts/&lt;/code&gt;: task prompts.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;logs/&lt;/code&gt;: runtime logs.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;images/&lt;/code&gt;: product images and temporary task image folders.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you change &lt;code&gt;SERVER_PORT&lt;/code&gt; in &lt;code&gt;.env&lt;/code&gt;, also update the port mapping in &lt;code&gt;docker-compose.yaml&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;minimum-configuration&#34;&gt;Minimum Configuration
&lt;/h2&gt;&lt;p&gt;The minimum configuration mainly covers the AI model and Web UI login:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;OPENAI_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_api_key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;OPENAI_BASE_URL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_openai_compatible_base_url
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;OPENAI_MODEL_NAME&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_multimodal_model
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;WEB_USERNAME&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;admin
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;WEB_PASSWORD&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;change_me
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The first three are required for AI model access:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;OPENAI_API_KEY&lt;/code&gt;: model API key.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OPENAI_BASE_URL&lt;/code&gt;: OpenAI-compatible endpoint.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OPENAI_MODEL_NAME&lt;/code&gt;: model name that supports image input.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;code&gt;WEB_USERNAME&lt;/code&gt; and &lt;code&gt;WEB_PASSWORD&lt;/code&gt; are used for Web UI login. The README mentions the default credentials &lt;code&gt;admin/admin123&lt;/code&gt;; change them in production.&lt;/p&gt;
&lt;h2 id=&#34;first-use&#34;&gt;First Use
&lt;/h2&gt;&lt;p&gt;The first-use flow is roughly:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open &lt;code&gt;http://127.0.0.1:8000&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Log in to the Web UI.&lt;/li&gt;
&lt;li&gt;Go to Goofish account management.&lt;/li&gt;
&lt;li&gt;Use the provided Chrome extension to export Goofish login-state JSON.&lt;/li&gt;
&lt;li&gt;Paste the login state into the system.&lt;/li&gt;
&lt;li&gt;The state file is saved to &lt;code&gt;state/&lt;/code&gt;, for example &lt;code&gt;state/acc_1.json&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Return to task management, create a task, and bind an account.&lt;/li&gt;
&lt;li&gt;Run the task and check results.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The key part is login state. Goofish does not provide a standard open API for arbitrary third-party scraping, so the project uses browser login state to simulate normal page access. Expired login state, risk controls, captchas, and account anomalies can all affect task execution.&lt;/p&gt;
&lt;h2 id=&#34;ai-tasks-and-keyword-tasks&#34;&gt;AI Tasks and Keyword Tasks
&lt;/h2&gt;&lt;p&gt;The project supports two task creation modes.&lt;/p&gt;
&lt;p&gt;The first is &lt;code&gt;AI判断&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;You can enter detailed requirements, and the system asynchronously generates analysis criteria. This fits complex needs, for example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Only the main unit, no accessories.&lt;/li&gt;
&lt;li&gt;Alert only when the price is clearly below market.&lt;/li&gt;
&lt;li&gt;Good condition, with no water damage, repair, or hidden defects in the description.&lt;/li&gt;
&lt;li&gt;Prefer local listings and face-to-face pickup.&lt;/li&gt;
&lt;li&gt;Images should show serial number, packaging, or key accessories.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The second is &lt;code&gt;关键词判断&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;This is closer to traditional rule-based monitoring: create tasks directly from keywords, prices, regions, and other conditions without AI generation. It fits simple rules where some false positives are acceptable.&lt;/p&gt;
&lt;p&gt;In practice, you can mix both: keywords handle initial filtering, AI reduces false positives.&lt;/p&gt;
&lt;h2 id=&#34;what-the-web-ui-does&#34;&gt;What the Web UI Does
&lt;/h2&gt;&lt;p&gt;The Web UI is a major difference between this project and ordinary scripts.&lt;/p&gt;
&lt;p&gt;The task management page can configure:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;AI-created tasks.&lt;/li&gt;
&lt;li&gt;Keyword rules.&lt;/li&gt;
&lt;li&gt;Price ranges.&lt;/li&gt;
&lt;li&gt;Newly listed windows.&lt;/li&gt;
&lt;li&gt;Region filters.&lt;/li&gt;
&lt;li&gt;Account binding.&lt;/li&gt;
&lt;li&gt;Scheduling rules.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The account management page can:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Import Goofish account login state.&lt;/li&gt;
&lt;li&gt;Update login state.&lt;/li&gt;
&lt;li&gt;Delete accounts.&lt;/li&gt;
&lt;li&gt;Assign accounts to tasks.&lt;/li&gt;
&lt;li&gt;Let the system choose accounts automatically.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Results and logs pages can:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;View matching products.&lt;/li&gt;
&lt;li&gt;Export results.&lt;/li&gt;
&lt;li&gt;Search history.&lt;/li&gt;
&lt;li&gt;Inspect task execution.&lt;/li&gt;
&lt;li&gt;Troubleshoot login expiration, risk controls, and AI call issues.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The system settings page can:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;View system status.&lt;/li&gt;
&lt;li&gt;Edit Prompt.&lt;/li&gt;
&lt;li&gt;Adjust proxy and rotation configuration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For long-term monitoring, the Web UI is important. Without it, many tasks quickly make configuration, logs, results, and notifications hard to maintain.&lt;/p&gt;
&lt;h2 id=&#34;data-storage&#34;&gt;Data Storage
&lt;/h2&gt;&lt;p&gt;The current online primary storage is SQLite, with the default path:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;data/app.sqlite3
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Docker mounts the SQLite main database by default:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;./data:/app/data
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;On startup, the app creates tables automatically and tries to import historical data once from old &lt;code&gt;config.json&lt;/code&gt;, &lt;code&gt;jsonl/&lt;/code&gt;, and &lt;code&gt;price_history/&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Note that &lt;code&gt;state/&lt;/code&gt;, &lt;code&gt;prompts/&lt;/code&gt;, &lt;code&gt;logs/&lt;/code&gt;, and &lt;code&gt;images/&lt;/code&gt; remain filesystem directories and are not stored in SQLite. Product images are temporarily saved to directories like:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;images/task_images_&amp;lt;task_name&amp;gt;/
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;They are cleaned up by default after the task ends.&lt;/p&gt;
&lt;p&gt;This structure fits personal or small-team deployments: SQLite is lightweight and easy to migrate, while files keep login state, images, and logs easy to inspect.&lt;/p&gt;
&lt;h2 id=&#34;notification-channels&#34;&gt;Notification Channels
&lt;/h2&gt;&lt;p&gt;The project supports multiple notification channels. Common configuration items include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;NTFY_TOPIC_URL&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;GOTIFY_URL&lt;/code&gt; / &lt;code&gt;GOTIFY_TOKEN&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;BARK_URL&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;WX_BOT_URL&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;TELEGRAM_BOT_TOKEN&lt;/code&gt; / &lt;code&gt;TELEGRAM_CHAT_ID&lt;/code&gt; / &lt;code&gt;TELEGRAM_API_BASE_URL&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;WEBHOOK_*&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Notifications are central to the experience. If a monitor only writes results to a backend, users still need to keep checking the page. With push notifications, matching listings reach the user immediately.&lt;/p&gt;
&lt;p&gt;A practical setup is to tier notifications by item value:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Normal keyword hits are written only to the backend.&lt;/li&gt;
&lt;li&gt;High-confidence AI results are pushed to the phone.&lt;/li&gt;
&lt;li&gt;High-value items are pushed to WeCom or Telegram.&lt;/li&gt;
&lt;li&gt;Enable more logs during debugging, then reduce noise after stabilization.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;developer-run&#34;&gt;Developer Run
&lt;/h2&gt;&lt;p&gt;Without Docker, local development requires:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Python 3.10+&lt;/li&gt;
&lt;li&gt;Node.js + npm&lt;/li&gt;
&lt;li&gt;Playwright CLI&lt;/li&gt;
&lt;li&gt;Chromium or Chrome / Edge browser&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Basic commands:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/Usagi-org/ai-goofish-monitor
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; ai-goofish-monitor
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cp .env.example .env
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;One-command startup:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;chmod +x start.sh
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;./start.sh
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;start.sh&lt;/code&gt; checks Playwright CLI and browser conditions, installs dependencies, builds the frontend, copies build artifacts, and starts the backend.&lt;/p&gt;
&lt;p&gt;Start the backend manually:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;python -m src.app
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Or:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;uvicorn src.app:app --host 0.0.0.0 --port &lt;span class=&#34;m&#34;&gt;8000&lt;/span&gt; --reload
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Frontend development:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; web-ui
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm run dev
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Testing and build:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PYTEST_DISABLE_PLUGIN_AUTOLOAD&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;1&lt;/span&gt; pytest
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; web-ui &lt;span class=&#34;o&#34;&gt;&amp;amp;&amp;amp;&lt;/span&gt; npm run build
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;who-it-fits&#34;&gt;Who It Fits
&lt;/h2&gt;&lt;p&gt;ai-goofish-monitor fits users who:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Frequently watch Goofish for specific models.&lt;/li&gt;
&lt;li&gt;Want to monitor second-hand electronics, cameras, game devices, hardware parts, and similar goods.&lt;/li&gt;
&lt;li&gt;Want to automate &amp;ldquo;keyword search + manual screening.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;Have an OpenAI-compatible model API and accept AI judgment costs.&lt;/li&gt;
&lt;li&gt;Are comfortable with Docker or basic command-line deployment.&lt;/li&gt;
&lt;li&gt;Need matching results pushed to phone, WeCom, or Telegram.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is less suitable if you:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Know nothing about deployment and only want a ready-to-use app.&lt;/li&gt;
&lt;li&gt;Do not want to handle login state, captchas, or account risk controls.&lt;/li&gt;
&lt;li&gt;Need official authorization and strongly compliant data APIs.&lt;/li&gt;
&lt;li&gt;Want large-scale high-frequency platform scraping.&lt;/li&gt;
&lt;li&gt;Expect AI to automatically judge trading risk and place orders for you.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;risks-and-boundaries&#34;&gt;Risks and Boundaries
&lt;/h2&gt;&lt;p&gt;Tools like this need clear boundaries.&lt;/p&gt;
&lt;p&gt;First, follow platform rules.&lt;/p&gt;
&lt;p&gt;Goofish has its own terms, risk controls, and account security mechanisms. Automation may trigger restrictions. Do not scrape at high frequency, bypass risk controls, harass sellers, bulk-collect private information, or disrupt platform order.&lt;/p&gt;
&lt;p&gt;Second, protect account login state.&lt;/p&gt;
&lt;p&gt;Files in &lt;code&gt;state/&lt;/code&gt; are login-state cookie files. They are effectively account access credentials. Do not commit them to Git, and do not put them on untrusted servers. If the server is exposed to the public internet, change the default Web UI password and place it behind a VPN, reverse-proxy authentication, or an internal network.&lt;/p&gt;
&lt;p&gt;Third, AI judgment is not a factual guarantee.&lt;/p&gt;
&lt;p&gt;AI can reduce false positives, but it cannot guarantee product authenticity, seller trustworthiness, reasonable pricing, or transaction safety. You still need to review product details, seller reputation, chat history, shipping method, and payment process.&lt;/p&gt;
&lt;p&gt;Fourth, watch cost.&lt;/p&gt;
&lt;p&gt;If every candidate listing is analyzed by a multimodal model, costs can rise quickly. Use keyword, price, and region filters first, then send a smaller candidate set to AI.&lt;/p&gt;
&lt;p&gt;Fifth, protect privacy.&lt;/p&gt;
&lt;p&gt;Product screenshots, chat-related content, account state, and notification content may all contain sensitive information. Protect notification Webhooks, log directories, and databases carefully.&lt;/p&gt;
&lt;h2 id=&#34;difference-from-ordinary-scripts&#34;&gt;Difference from Ordinary Scripts
&lt;/h2&gt;&lt;p&gt;Ordinary Goofish monitoring scripts usually do three things:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Search keywords.&lt;/li&gt;
&lt;li&gt;Check prices.&lt;/li&gt;
&lt;li&gt;Send notifications.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;ai-goofish-monitor goes further:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Manage tasks and accounts through Web UI.&lt;/li&gt;
&lt;li&gt;Express complex buying criteria with AI Prompt.&lt;/li&gt;
&lt;li&gt;Use multimodal models to inspect product images and descriptions.&lt;/li&gt;
&lt;li&gt;Store results and price history in SQLite.&lt;/li&gt;
&lt;li&gt;Use log pages to diagnose task failures.&lt;/li&gt;
&lt;li&gt;Improve stability through proxy rotation and multi-account mechanisms.&lt;/li&gt;
&lt;li&gt;Support long-running schedules with Cron.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Because it does more, it also costs more to deploy and maintain. For normal users, Docker is the easiest path. For developers, the Web UI, FastAPI, Playwright, and SQLite structure is also friendly for secondary development.&lt;/p&gt;
&lt;h2 id=&#34;how-to-use-it&#34;&gt;How to Use It
&lt;/h2&gt;&lt;p&gt;A practical approach is to start with small tasks.&lt;/p&gt;
&lt;p&gt;For example, if you want a second-hand camera, create a task like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Keywords: &lt;code&gt;A7C&lt;/code&gt;, &lt;code&gt;索尼 A7C&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Price range: set an upper limit based on market price&lt;/li&gt;
&lt;li&gt;Region: prefer same province or local city&lt;/li&gt;
&lt;li&gt;Newly listed window: last day or last few hours&lt;/li&gt;
&lt;li&gt;AI criteria: exclude lens-only listings, repaired units, obvious accessories; pay attention to shutter count and condition&lt;/li&gt;
&lt;li&gt;Notification: push only results that pass AI judgment&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;After it runs stably, gradually add more tasks. Do not start with dozens of keywords, multiple accounts, and high-frequency Cron. First check login stability, false-positive rate, AI cost, and notification noise, then tune parameters.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;ai-goofish-monitor moves Goofish monitoring from a &amp;ldquo;keyword script&amp;rdquo; to a manageable AI monitoring system. It uses Playwright for page automation, AI for complex judgment, Web UI for tasks and results, SQLite for storage, and multiple notification channels for delivery.&lt;/p&gt;
&lt;p&gt;It is best for individuals or small teams monitoring specific products, especially second-hand electronics, hardware, and cameras where prices fluctuate, timing matters, and descriptions are noisy.&lt;/p&gt;
&lt;p&gt;But it must be used carefully: protect login state, change default passwords, keep scraping frequency restrained, review AI results manually, and respect platform rules and privacy boundaries. As an assisted filtering tool, it can be valuable. As a fully automated trading system, it is easy to overestimate.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Usagi-org/ai-goofish-monitor&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Usagi-org/ai-goofish-monitor&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Usagi-org/ai-goofish-monitor/blob/master/README_EN.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project English README&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Usagi-org/ai-goofish-monitor/blob/master/DISCLAIMER.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project disclaimer&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>OpenKB: Compiling Documents into a Continuously Updated LLM Knowledge Base</title>
        <link>https://knightli.com/en/2026/05/17/openkb-llm-knowledge-base/</link>
        <pubDate>Sun, 17 May 2026 17:15:08 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/17/openkb-llm-knowledge-base/</guid>
        <description>&lt;p&gt;OpenKB is an open-source LLM knowledge base tool from VectifyAI.&lt;/p&gt;
&lt;p&gt;It is not a traditional RAG system that chunks documents, vectorizes them, and then stitches context back together at query time. Instead, it first compiles raw documents into a structured wiki: document summaries, concept pages, cross-references, follow-up queries, and lint checks. In other words, it feels more like a knowledge-base CLI that keeps organizing your material over time.&lt;/p&gt;
&lt;p&gt;Project link: &lt;a class=&#34;link&#34; href=&#34;https://github.com/VectifyAI/OpenKB&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/VectifyAI/OpenKB&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;the-short-version&#34;&gt;The Short Version
&lt;/h2&gt;&lt;p&gt;OpenKB is worth watching for three reasons:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;It outputs the knowledge base as ordinary Markdown files instead of locking it inside a dedicated database.&lt;/li&gt;
&lt;li&gt;It uses PageIndex for long PDFs, focusing on vector-database-free retrieval for long documents.&lt;/li&gt;
&lt;li&gt;It emphasizes &amp;ldquo;knowledge compilation&amp;rdquo;: the LLM generates summaries, concept pages, and cross-links instead of retrieving from scratch on every question.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;That makes OpenKB better suited to long-term knowledge accumulation: paper reading, project documentation, internal company materials, technical standards, product research, and personal knowledge bases.&lt;/p&gt;
&lt;p&gt;It is not a universal replacement. If you need high-concurrency online Q&amp;amp;A, complex permissions, a web admin console, enterprise audit trails, or large-scale multi-tenancy, OpenKB currently looks more like a developer tool and knowledge-base prototype than a complete enterprise knowledge platform.&lt;/p&gt;
&lt;h2 id=&#34;what-openkb-is&#34;&gt;What OpenKB Is
&lt;/h2&gt;&lt;p&gt;OpenKB stands for Open Knowledge Base.&lt;/p&gt;
&lt;p&gt;It works as a CLI: it converts, organizes, summarizes, and writes documents into a set of wiki files. The official README describes it directly: OpenKB uses LLMs to compile raw documents into a structured, interlinked wiki-style knowledge base, with PageIndex providing vectorless long-document retrieval.&lt;/p&gt;
&lt;p&gt;Supported input formats include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PDF&lt;/li&gt;
&lt;li&gt;Word&lt;/li&gt;
&lt;li&gt;Markdown&lt;/li&gt;
&lt;li&gt;PowerPoint&lt;/li&gt;
&lt;li&gt;HTML&lt;/li&gt;
&lt;li&gt;Excel&lt;/li&gt;
&lt;li&gt;Plain text&lt;/li&gt;
&lt;li&gt;Other formats that markitdown can convert&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The generated knowledge base lives under &lt;code&gt;wiki/&lt;/code&gt; and mainly includes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;index.md&lt;/code&gt;: knowledge base overview&lt;/li&gt;
&lt;li&gt;&lt;code&gt;log.md&lt;/code&gt;: operation timeline&lt;/li&gt;
&lt;li&gt;&lt;code&gt;AGENTS.md&lt;/code&gt;: knowledge base structure and maintenance instructions&lt;/li&gt;
&lt;li&gt;&lt;code&gt;sources/&lt;/code&gt;: converted source text&lt;/li&gt;
&lt;li&gt;&lt;code&gt;summaries/&lt;/code&gt;: summaries for each document&lt;/li&gt;
&lt;li&gt;&lt;code&gt;concepts/&lt;/code&gt;: cross-document concept pages&lt;/li&gt;
&lt;li&gt;&lt;code&gt;explorations/&lt;/code&gt;: saved query results&lt;/li&gt;
&lt;li&gt;&lt;code&gt;reports/&lt;/code&gt;: lint reports&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The biggest benefit of this design is transparency. You can open the Markdown files directly instead of only receiving answers through a black-box retrieval interface.&lt;/p&gt;
&lt;h2 id=&#34;how-it-differs-from-traditional-rag&#34;&gt;How It Differs from Traditional RAG
&lt;/h2&gt;&lt;p&gt;A typical traditional RAG pipeline looks like this:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Chunk the documents.&lt;/li&gt;
&lt;li&gt;Generate embeddings.&lt;/li&gt;
&lt;li&gt;Store them in a vector database.&lt;/li&gt;
&lt;li&gt;Retrieve relevant chunks at query time.&lt;/li&gt;
&lt;li&gt;Feed those chunks to the LLM to generate an answer.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;That workflow is mature and works well for Q&amp;amp;A systems. But it has one problem: the knowledge itself does not really accumulate. Every question repeats the work of finding chunks, assembling context, and generating an answer.&lt;/p&gt;
&lt;p&gt;OpenKB is closer to &amp;ldquo;organize first, ask later&amp;rdquo;:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Documents enter &lt;code&gt;raw/&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Short documents are converted to Markdown with markitdown.&lt;/li&gt;
&lt;li&gt;Long PDFs go through PageIndex to produce tree indexes and summaries.&lt;/li&gt;
&lt;li&gt;The LLM generates document summaries.&lt;/li&gt;
&lt;li&gt;The LLM reads existing concept pages and creates or updates cross-document concepts.&lt;/li&gt;
&lt;li&gt;The knowledge base index, log, and cross-links are updated.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;As a result, adding one document does more than create another searchable file. It may update a dozen wiki pages. Knowledge is written into concept pages and connected to existing material.&lt;/p&gt;
&lt;p&gt;This is closer to how humans maintain knowledge bases: when new material arrives, you do not just archive it; you update topic pages, summarize differences, and add references.&lt;/p&gt;
&lt;h2 id=&#34;what-pageindex-solves&#34;&gt;What PageIndex Solves
&lt;/h2&gt;&lt;p&gt;Long documents have always been difficult for RAG and LLM knowledge bases.&lt;/p&gt;
&lt;p&gt;If you simply split a long PDF into many chunks, several problems appear:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Chapter relationships are lost.&lt;/li&gt;
&lt;li&gt;Tables, images, and footnotes are hard to handle.&lt;/li&gt;
&lt;li&gt;Retrieved snippets are too fragmented, so answers lack global structure.&lt;/li&gt;
&lt;li&gt;Even a large context window is not ideal for stuffing an entire document into the prompt.&lt;/li&gt;
&lt;li&gt;Long summary chains can compress away important details.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;OpenKB uses PageIndex for long PDFs. According to the project description, PageIndex builds tree indexes and summaries for long documents, letting the LLM reason over the document tree instead of reading the whole document directly.&lt;/p&gt;
&lt;p&gt;The focus is not &amp;ldquo;the few text snippets with the highest vector similarity.&amp;rdquo; It is about helping the model use document hierarchy to find relevant content. For research reports, papers, manuals, prospectuses, and compliance documents, this direction makes a lot of sense.&lt;/p&gt;
&lt;p&gt;OpenKB can use the open-source PageIndex locally by default. If you need OCR, complex PDF handling, or faster structure generation, you can configure &lt;code&gt;PAGEINDEX_API_KEY&lt;/code&gt; to use PageIndex Cloud.&lt;/p&gt;
&lt;h2 id=&#34;install-and-quick-start&#34;&gt;Install and Quick Start
&lt;/h2&gt;&lt;p&gt;Install OpenKB with pip:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install openkb
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Or install the latest GitHub version:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install git+https://github.com/VectifyAI/OpenKB.git
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For editable source installation:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/VectifyAI/OpenKB.git
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; OpenKB
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install -e .
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Create a knowledge base directory:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;mkdir my-kb &lt;span class=&#34;o&#34;&gt;&amp;amp;&amp;amp;&lt;/span&gt; &lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; my-kb
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;openkb init
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Add documents:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;openkb add paper.pdf
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;openkb add ~/papers/
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Ask a question:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;openkb query &lt;span class=&#34;s2&#34;&gt;&amp;#34;What are the main findings?&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Start an interactive chat:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;openkb chat
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you want OpenKB to process new files automatically, use watch mode:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;openkb watch
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After that, drop files into &lt;code&gt;raw/&lt;/code&gt;, and OpenKB will update the wiki automatically.&lt;/p&gt;
&lt;h2 id=&#34;llm-configuration&#34;&gt;LLM Configuration
&lt;/h2&gt;&lt;p&gt;OpenKB uses LiteLLM to support multiple model providers, including OpenAI, Claude, and Gemini.&lt;/p&gt;
&lt;p&gt;You can set the model during initialization, or configure it in &lt;code&gt;.openkb/config.yaml&lt;/code&gt;:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-yaml&#34; data-lang=&#34;yaml&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;l&#34;&gt;gpt-5.4&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;language&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;l&#34;&gt;en&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;pageindex_threshold&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;m&#34;&gt;20&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Model names follow LiteLLM&amp;rsquo;s &lt;code&gt;provider/model&lt;/code&gt; format. OpenAI models can omit the provider prefix:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-yaml&#34; data-lang=&#34;yaml&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;l&#34;&gt;gpt-5.4&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Models such as Anthropic and Gemini are usually written like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-yaml&#34; data-lang=&#34;yaml&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;l&#34;&gt;anthropic/claude-sonnet-4-6&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-yaml&#34; data-lang=&#34;yaml&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nt&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;&lt;span class=&#34;w&#34;&gt; &lt;/span&gt;&lt;span class=&#34;l&#34;&gt;gemini/gemini-3.1-pro-preview&lt;/span&gt;&lt;span class=&#34;w&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Put the API key in &lt;code&gt;.env&lt;/code&gt;:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;LLM_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_llm_api_key
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you enable PageIndex Cloud, add:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PAGEINDEX_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_pageindex_api_key
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;common-commands&#34;&gt;Common Commands
&lt;/h2&gt;&lt;p&gt;OpenKB&amp;rsquo;s commands are developer-friendly:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;openkb init&lt;/code&gt;: initialize a knowledge base.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb add &amp;lt;file_or_dir&amp;gt;&lt;/code&gt;: add a file or directory.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb remove &amp;lt;doc&amp;gt;&lt;/code&gt;: remove a document and clean up related wiki pages, images, registry entries, and PageIndex state.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb query &amp;quot;question&amp;quot;&lt;/code&gt;: ask a one-off question against the knowledge base.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb chat&lt;/code&gt;: enter a multi-turn conversation.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb watch&lt;/code&gt;: monitor &lt;code&gt;raw/&lt;/code&gt; and update automatically.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb lint&lt;/code&gt;: check knowledge base structure and content health.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb list&lt;/code&gt;: list indexed documents and concepts.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;openkb status&lt;/code&gt;: show knowledge base statistics.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;code&gt;openkb chat&lt;/code&gt; is better than &lt;code&gt;openkb query&lt;/code&gt; for continuous exploration. It supports session resume, session listing, deletion, and slash commands such as &lt;code&gt;/status&lt;/code&gt;, &lt;code&gt;/list&lt;/code&gt;, &lt;code&gt;/add &amp;lt;path&amp;gt;&lt;/code&gt;, &lt;code&gt;/save&lt;/code&gt;, and &lt;code&gt;/lint&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;why-a-markdown-wiki-matters&#34;&gt;Why a Markdown Wiki Matters
&lt;/h2&gt;&lt;p&gt;Many knowledge-base tools are painful because of migration cost.&lt;/p&gt;
&lt;p&gt;Once material enters a proprietary database, index, or format, it becomes hard to inspect, edit, back up, or migrate directly. OpenKB writes the result as ordinary Markdown, which makes it naturally compatible with existing tools.&lt;/p&gt;
&lt;p&gt;The most direct use is opening &lt;code&gt;wiki/&lt;/code&gt; in Obsidian:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Summary pages can be read directly.&lt;/li&gt;
&lt;li&gt;Concept pages can connect through &lt;code&gt;[[wikilinks]]&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Graph view can show relationships between knowledge items.&lt;/li&gt;
&lt;li&gt;Query results can be saved to &lt;code&gt;explorations/&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;AGENTS.md&lt;/code&gt; can define how the knowledge base should be maintained.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That makes OpenKB more than a Q&amp;amp;A tool. It can become a knowledge-organizing pipeline for individuals or teams.&lt;/p&gt;
&lt;h2 id=&#34;best-fit-scenarios&#34;&gt;Best-Fit Scenarios
&lt;/h2&gt;&lt;p&gt;OpenKB is especially useful for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reading papers and technical reports.&lt;/li&gt;
&lt;li&gt;Organizing project documentation.&lt;/li&gt;
&lt;li&gt;Building product research archives.&lt;/li&gt;
&lt;li&gt;Creating documentation knowledge bases around open-source projects.&lt;/li&gt;
&lt;li&gt;Organizing internal policies, meeting notes, and explanatory documents.&lt;/li&gt;
&lt;li&gt;Maintaining a personal Obsidian knowledge base automatically.&lt;/li&gt;
&lt;li&gt;Structuring long PDFs, PPTs, Word files, and web materials.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you often face piles of documents and want more than &amp;ldquo;ask one question, get one answer,&amp;rdquo; OpenKB&amp;rsquo;s direction is a good fit: it gradually turns material into a browsable, reusable, and traceable knowledge base.&lt;/p&gt;
&lt;h2 id=&#34;what-to-watch-out-for&#34;&gt;What to Watch Out For
&lt;/h2&gt;&lt;p&gt;First, OpenKB depends on LLM quality.&lt;/p&gt;
&lt;p&gt;Summaries, concept pages, and cross-links are generated by models. Stronger models usually produce more stable knowledge compilation; weaker models may struggle with concept extraction, contradiction detection, and cross-document synthesis.&lt;/p&gt;
&lt;p&gt;Second, estimate cost early.&lt;/p&gt;
&lt;p&gt;If you import many long documents at once, LLM calls may become expensive. Start with a small dataset, check the output structure and quality, and then expand.&lt;/p&gt;
&lt;p&gt;Third, the generated wiki still needs human review.&lt;/p&gt;
&lt;p&gt;OpenKB can organize material, but it does not automatically guarantee factual correctness. Important knowledge bases still need humans to review summaries, concept pages, and references.&lt;/p&gt;
&lt;p&gt;Fourth, be careful with sensitive material.&lt;/p&gt;
&lt;p&gt;If you use cloud LLMs or PageIndex Cloud, pay attention to privacy, trade secrets, and compliance requirements. For internal materials, confirm the model provider, data retention policy, and access boundaries first.&lt;/p&gt;
&lt;p&gt;Fifth, it is currently more of a CLI tool.&lt;/p&gt;
&lt;p&gt;The roadmap mentions a future Web UI, database-backed storage, support for large collections, and hierarchical concept indexing. At this stage, if teammates are not comfortable with the command line, there is still some adoption friction.&lt;/p&gt;
&lt;h2 id=&#34;relationship-with-obsidian-notebooklm-and-enterprise-rag&#34;&gt;Relationship with Obsidian, NotebookLM, and Enterprise RAG
&lt;/h2&gt;&lt;p&gt;OpenKB and Obsidian are best understood as an &amp;ldquo;automatic organization layer&amp;rdquo; plus a &amp;ldquo;reading and editing layer.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Obsidian is good for humans to write, edit, browse, and link notes. OpenKB is good for turning raw documents into a wiki that can enter Obsidian.&lt;/p&gt;
&lt;p&gt;OpenKB and NotebookLM differ more around local control and open file formats.&lt;/p&gt;
&lt;p&gt;NotebookLM is more direct for quickly asking questions and generating summaries after dropping in materials. OpenKB is better for developers who want the organized result to remain in a local directory and continue evolving as Markdown.&lt;/p&gt;
&lt;p&gt;OpenKB does not replace enterprise RAG; it complements it.&lt;/p&gt;
&lt;p&gt;Enterprise RAG cares more about permissions, auditability, service deployment, access isolation, monitoring, and stable throughput. OpenKB is better for building a readable, editable, long-lived knowledge layer. If you later build online Q&amp;amp;A, the wiki generated by OpenKB can also become a higher-quality corpus.&lt;/p&gt;
&lt;h2 id=&#34;a-recommended-workflow&#34;&gt;A Recommended Workflow
&lt;/h2&gt;&lt;p&gt;If you want to try OpenKB, start like this:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Create a test knowledge base directory.&lt;/li&gt;
&lt;li&gt;Add 3 to 5 documents on the same topic.&lt;/li&gt;
&lt;li&gt;Run &lt;code&gt;openkb add&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Open &lt;code&gt;wiki/&lt;/code&gt; and inspect the summaries and concept pages.&lt;/li&gt;
&lt;li&gt;Ask a few specific questions with &lt;code&gt;openkb query&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Run &lt;code&gt;openkb lint&lt;/code&gt; to check knowledge-base health.&lt;/li&gt;
&lt;li&gt;Open &lt;code&gt;wiki/&lt;/code&gt; in Obsidian and see whether the link graph is meaningful.&lt;/li&gt;
&lt;li&gt;Once quality looks good, import a larger document collection.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Do not throw in hundreds of files at the beginning. First see whether it understands your material type well, especially tables, images, long PDFs, and multi-document concept merging.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;OpenKB&amp;rsquo;s value is that it moves an LLM knowledge base one step earlier than &amp;ldquo;assemble context at query time&amp;rdquo;: organize the material into a wiki first, then ask questions, chat, lint, and keep maintaining that wiki.&lt;/p&gt;
&lt;p&gt;This direction is not right for every Q&amp;amp;A system, but it is well suited to knowledge work that needs long-term accumulation. Markdown files, Obsidian compatibility, PageIndex long-document handling, multi-model support, and a CLI workflow combine into a useful tool for developers and research-oriented users.&lt;/p&gt;
&lt;p&gt;If you have many PDFs, reports, web pages, papers, and project documents, OpenKB is worth trying. It may not immediately replace a mature enterprise knowledge base, but it can become a practical entry point for organizing material: first turn documents into readable, linked, traceable knowledge, then let the LLM work on top of that knowledge.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/VectifyAI/OpenKB&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;VectifyAI/OpenKB&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://openkb.ai/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;OpenKB project page&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://pageindex.ai/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;PageIndex&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/microsoft/markitdown&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;markitdown&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://docs.litellm.ai/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;LiteLLM&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Google Gemini Spark Leak: A 24/7 Gemini Agent May Be Coming</title>
        <link>https://knightli.com/en/2026/05/17/google-gemini-spark-ai-agent-leak/</link>
        <pubDate>Sun, 17 May 2026 11:58:08 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/17/google-gemini-spark-ai-agent-leak/</guid>
        <description>&lt;p&gt;Google has not officially released &lt;code&gt;Gemini Spark&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Current information about it mainly comes from internal Gemini Web test screens, community screenshots, TestingCatalog reporting, and 36Kr / Xinzhiyuan&amp;rsquo;s summary of related leaks. The consistent picture is that &lt;code&gt;Gemini Spark BETA&lt;/code&gt; may be an always-on AI Agent that Google is preparing. Its positioning is no longer just a chat assistant, but an &amp;ldquo;everyday AI agent&amp;rdquo; that can handle email, online tasks, and multi-step workflows in the background.&lt;/p&gt;
&lt;p&gt;So the boundary should be clear first: this is a leak analysis, not an official Google announcement. All features, naming, and launch timing still need to be confirmed by Google.&lt;/p&gt;
&lt;h2 id=&#34;bottom-line&#34;&gt;Bottom line
&lt;/h2&gt;&lt;p&gt;Based on currently exposed information, Gemini Spark has three key points:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;It may be a 24-hour online Agent inside the Gemini system, not a normal chat model.&lt;/li&gt;
&lt;li&gt;It may use broader personal context, including Google apps, chat history, tasks, logged-in websites, and location.&lt;/li&gt;
&lt;li&gt;Its risks are as large as its appeal, because it may involve information sharing, remote browser data, purchases, and third-party service calls.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If Google really launches Spark, Gemini&amp;rsquo;s role will change from &amp;ldquo;AI that answers questions&amp;rdquo; to &amp;ldquo;AI that continuously handles tasks for you.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;what-gemini-spark-is&#34;&gt;What Gemini Spark is
&lt;/h2&gt;&lt;p&gt;TestingCatalog reported on May 14, 2026 that Google is testing &lt;code&gt;Gemini Spark BETA&lt;/code&gt; inside Gemini Web. The exposed welcome text describes it as an everyday AI agent that can help users 24/7 with inbox, online tasks, and more multi-step work.&lt;/p&gt;
&lt;p&gt;The 36Kr / Xinzhiyuan article also says that after Spark was uncovered, the outside world saw a &amp;ldquo;full-time Agent&amp;rdquo; direction: it can stay on standby all day, process inboxes, execute online tasks, and may even involve purchases and information sharing.&lt;/p&gt;
&lt;p&gt;This means Spark is not simply a new model name. It looks more like a Gemini product-layer upgrade: bringing Gemini out of the conversation window and into users&amp;rsquo; email, web, calendar, tasks, and cross-app workflows.&lt;/p&gt;
&lt;h2 id=&#34;how-it-may-work&#34;&gt;How it may work
&lt;/h2&gt;&lt;p&gt;According to the hidden onboarding text disclosed by TestingCatalog, Gemini Spark may gather context from multiple sources, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Connected Apps.&lt;/li&gt;
&lt;li&gt;skills.&lt;/li&gt;
&lt;li&gt;chats.&lt;/li&gt;
&lt;li&gt;tasks.&lt;/li&gt;
&lt;li&gt;Websites the user has logged into.&lt;/li&gt;
&lt;li&gt;Personal intelligence.&lt;/li&gt;
&lt;li&gt;location.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This information would help Spark understand what the user wants to complete and call the necessary context while executing tasks. The text also says that, to complete some actions, Gemini may share necessary information with third parties, such as names, contact details, files, preferences, and information the user may consider sensitive.&lt;/p&gt;
&lt;p&gt;If these descriptions prove accurate, Spark will work more like a context-aware agent system than a one-shot Q&amp;amp;A assistant. It will not only look at the current prompt, but may combine long-term preferences, connected apps, browser state, and task history.&lt;/p&gt;
&lt;h2 id=&#34;why-it-matters&#34;&gt;Why it matters
&lt;/h2&gt;&lt;p&gt;The key to Gemini Spark is not one more chat entry point. It is that Google has a natural ecosystem entry point.&lt;/p&gt;
&lt;p&gt;OpenAI and Anthropic can build powerful Agents, but they do not naturally own the full chain of Gmail, Calendar, Drive, Chrome, Android, and Workspace. If Google connects Spark into these products, users will not need to build many extra workflows before letting an Agent enter daily work.&lt;/p&gt;
&lt;p&gt;This may bring three changes.&lt;/p&gt;
&lt;p&gt;First, Gemini may move from passive Q&amp;amp;A to active execution. Users may no longer only ask &amp;ldquo;summarize this email&amp;rdquo;; they may ask it to continuously organize the inbox, track tasks, and take follow-up actions.&lt;/p&gt;
&lt;p&gt;Second, Agents will rely more on personal context. The more it understands your email, calendar, files, browser state, and preferences, the more useful the result may be.&lt;/p&gt;
&lt;p&gt;Third, permission boundaries will become more sensitive. Doing more also means users need to know more clearly when it can act, how far it can go, and whether confirmation is required.&lt;/p&gt;
&lt;h2 id=&#34;where-the-risks-are&#34;&gt;Where the risks are
&lt;/h2&gt;&lt;p&gt;Several details in the onboarding text disclosed by TestingCatalog are worth watching.&lt;/p&gt;
&lt;p&gt;First, Spark is experimental. Even if it launches, it should not be treated as a fully mature system that needs no supervision.&lt;/p&gt;
&lt;p&gt;Second, although the system is designed to ask for permission before sensitive operations, the text also warns that it may share information or complete purchases without asking.&lt;/p&gt;
&lt;p&gt;Third, to maintain session continuity, Gemini will save remote browser data, such as login details and remote code execution data. Users can clear these data in Settings and can also disable Connected Apps and Personal intelligence.&lt;/p&gt;
&lt;p&gt;Taken together, these points show that Spark&amp;rsquo;s product direction is aggressive: it wants to be an Agent that can truly execute tasks, not only generate suggestions. But the closer it gets to real execution, the more it needs strict permissioning, auditing, confirmation, and rollback mechanisms.&lt;/p&gt;
&lt;h2 id=&#34;relationship-with-remy-and-ai-ultra&#34;&gt;Relationship with Remy and AI Ultra
&lt;/h2&gt;&lt;p&gt;TestingCatalog says Spark may be a renamed version of the agentic Gemini upgrade previously codenamed &lt;code&gt;Remy&lt;/code&gt;, and may also relate to the Gemini Agent direction for Google AI Ultra subscribers.&lt;/p&gt;
&lt;p&gt;If this clue is correct, Spark may not be a brand-new project from nowhere. It may be Google repackaging previously higher-end or more closed Agent capabilities and preparing to bring them to a wider audience.&lt;/p&gt;
&lt;p&gt;36Kr / Xinzhiyuan also describes it as an upgrade from &amp;ldquo;Remy&amp;rdquo; to &amp;ldquo;Spark&amp;rdquo;: Gemini Agent is no longer just a feature, but is moving toward a 24/7 digital life manager.&lt;/p&gt;
&lt;p&gt;But this is still a judgment based on leaked information. Whether Google will use &lt;code&gt;Spark&lt;/code&gt; as the official name, whether it will be limited to AI Ultra, and whether a lighter subscription tier will appear all need official confirmation.&lt;/p&gt;
&lt;h2 id=&#34;mcp-skills-and-the-tool-ecosystem&#34;&gt;MCP, skills, and the tool ecosystem
&lt;/h2&gt;&lt;p&gt;The same batch of community screenshots also showed model selector entries such as &lt;code&gt;MCP Tool Testing&lt;/code&gt;. The 36Kr article suggests this may hint that the new Gemini will natively support MCP third-party tool integration, with Thinking mode also being rebuilt.&lt;/p&gt;
&lt;p&gt;This clue becomes more interesting when viewed together with Spark.&lt;/p&gt;
&lt;p&gt;If Spark were only a chat assistant, skills and MCP would matter less. But if Spark is a long-running Agent, it needs to reliably call tools, access web pages, execute tasks, read and write context, and deliver results to users.&lt;/p&gt;
&lt;p&gt;In other words, Spark may not be a single feature. It may be part of Google&amp;rsquo;s Agent tool ecosystem: the model handles understanding and planning, while skills / MCP / connected apps handle execution and expansion.&lt;/p&gt;
&lt;h2 id=&#34;what-it-means-for-ordinary-users&#34;&gt;What it means for ordinary users
&lt;/h2&gt;&lt;p&gt;If Gemini Spark really launches, ordinary users may see these direct changes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Email is not only summarized, but can be categorized, followed up, and turned into tasks.&lt;/li&gt;
&lt;li&gt;Web tasks are not only suggested, but may be continuously executed in a remote browser.&lt;/li&gt;
&lt;li&gt;Calendar, location, preferences, and previous chats become long-term Agent context.&lt;/li&gt;
&lt;li&gt;Purchases, bookings, form filling, and similar actions may enter the AI execution range.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This sounds convenient, but users will need new habits: not only checking what the AI says, but also what it is preparing to do, what it has already done, whether it can be undone, and whether there is a record.&lt;/p&gt;
&lt;p&gt;Future AI Agent experience may depend not only on model intelligence, but also on clear permission prompts, inspectable task logs, and recovery from mistakes.&lt;/p&gt;
&lt;h2 id=&#34;what-it-means-for-developers-and-teams&#34;&gt;What it means for developers and teams
&lt;/h2&gt;&lt;p&gt;For developers, Spark matters because Google may be moving Agents from &amp;ldquo;demo products&amp;rdquo; toward real workflow platforms.&lt;/p&gt;
&lt;p&gt;If Spark can reliably connect Google apps, third-party tools, and browser state, developers will care about:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether APIs or extension mechanisms are open.&lt;/li&gt;
&lt;li&gt;Whether MCP or skills can be connected by third parties.&lt;/li&gt;
&lt;li&gt;Whether enterprise admins can control permissions, data retention, and audits.&lt;/li&gt;
&lt;li&gt;Whether Agent execution failures have traceable logs.&lt;/li&gt;
&lt;li&gt;Whether sandboxing, approval flows, and sensitive-operation confirmation are supported.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For teams, Spark may first enter high-frequency scenarios such as Gmail, Calendar, Docs, Drive, and Chrome. It may not be suitable for fully automated high-risk work at the beginning, but it is a strong fit for inbox triage, meeting follow-up, document organization, market research, and lightweight operations tasks.&lt;/p&gt;
&lt;h2 id=&#34;how-to-read-it-now&#34;&gt;How to read it now
&lt;/h2&gt;&lt;p&gt;This story is best understood as &amp;ldquo;high-confidence direction, low-certainty details.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;The high-confidence direction is that Google is pushing Gemini Agents to be more proactive, longer-running, and more deeply integrated with its ecosystem. The Gemini Web test text reported by TestingCatalog, community screenshots, and 36Kr&amp;rsquo;s summary of multiple leaks all point in the same direction.&lt;/p&gt;
&lt;p&gt;The low-certainty details are the official name, launch timing, permission rules, subscription tiers, supported regions, API availability, and whether it will really be called Gemini Spark.&lt;/p&gt;
&lt;p&gt;The safest view for now:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Do not treat Spark as an already released official product.&lt;/li&gt;
&lt;li&gt;Treat it as a strong signal for Google&amp;rsquo;s next AI Agent direction.&lt;/li&gt;
&lt;li&gt;Wait for official explanations around permissions, privacy, third-party data sharing, and remote browser data storage.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;If &lt;code&gt;Gemini Spark&lt;/code&gt; eventually launches, it may be a key step in Gemini&amp;rsquo;s move from chat assistant to always-on Agent. It is not just a model swap; it places Gemini into Google&amp;rsquo;s ecosystem of email, web, tasks, location, personal intelligence, and third-party services.&lt;/p&gt;
&lt;p&gt;Its potential is large: more proactive, closer to real workflows, and easier to distribute to many users through Google&amp;rsquo;s ecosystem. Its risks are just as large: once AI can share information, save browser state, make purchases, and call third-party services, permission boundaries must be extremely clear.&lt;/p&gt;
&lt;p&gt;So the most important question about Gemini Spark is not &amp;ldquo;how smart is it&amp;rdquo;, but how Google plans to make a 24-hour online AI Agent controllable, auditable, and trustworthy.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.testingcatalog.com/google-prepares-gemini-spark-ai-agent-ahead-of-i-o-launch/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;TestingCatalog: Google prepares Gemini Spark AI Agent ahead of I/O launch&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://36kr.com/p/3810432812162816&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;36Kr: Gemini 3.5 Pro leaked, coding reportedly catches up with GPT-5.5&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Gemini Intelligence on Android: Google Is Turning the Phone into a Proactive AI System</title>
        <link>https://knightli.com/en/2026/05/17/google-gemini-intelligence-android/</link>
        <pubDate>Sun, 17 May 2026 09:13:32 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/17/google-gemini-intelligence-android/</guid>
        <description>&lt;p&gt;On May 12, 2026, Google published “A smarter, more proactive Android with Gemini Intelligence,” introducing Gemini Intelligence on Android. This is not a standalone chat app. It brings Gemini capabilities into Android, Chrome, Gboard, Autofill, widgets, and multi-device experiences, moving the phone from “wait for the user to tap” toward “proactively help the user complete tasks.”&lt;/p&gt;
&lt;p&gt;In short, Google wants Android to move from an operating system toward an intelligence system. The phone no longer just opens apps, shows notifications, and runs settings. It can understand the screen, apps, voice, and personal context, then complete more complex actions with user confirmation.&lt;/p&gt;
&lt;h2 id=&#34;short-version&#34;&gt;Short Version
&lt;/h2&gt;&lt;p&gt;Gemini Intelligence on Android focuses on five areas:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Multi-step automation: Gemini can complete flows across apps, such as rides, shopping, and research.&lt;/li&gt;
&lt;li&gt;Smarter Chrome browsing: summarize pages, compare information, and handle some repetitive web tasks on Android.&lt;/li&gt;
&lt;li&gt;Upgraded Autofill: use Gemini and personal context to fill more complex forms.&lt;/li&gt;
&lt;li&gt;Rambler: turn natural speech into clearer, more polished text.&lt;/li&gt;
&lt;li&gt;Natural-language widgets: describe what you want, and Android generates custom widgets.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These features will start rolling out in summer 2026, first on select Samsung Galaxy and Google Pixel phones, and later to more Android devices including watches, cars, glasses, and laptops.&lt;/p&gt;
&lt;h2 id=&#34;multi-step-automation-from-suggestions-to-execution&#34;&gt;Multi-Step Automation: From Suggestions to Execution
&lt;/h2&gt;&lt;p&gt;The most important direction is letting Gemini complete multi-step tasks across apps.&lt;/p&gt;
&lt;p&gt;Google gives examples such as booking a spin class, finding a course syllabus in Gmail and adding required books to a shopping cart, or seeing a travel poster and asking Gemini to find a similar trip on Expedia.&lt;/p&gt;
&lt;p&gt;The hard part is not just understanding one sentence. The system needs to understand:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;What is on the user’s current screen or image.&lt;/li&gt;
&lt;li&gt;App information the user has authorized.&lt;/li&gt;
&lt;li&gt;Which app should be opened next.&lt;/li&gt;
&lt;li&gt;Which steps can be automated.&lt;/li&gt;
&lt;li&gt;Which steps must pause for user confirmation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Google emphasizes that Gemini acts on user instructions and stops when the task is done, with final confirmation remaining under user control. This is not a fully autonomous agent, but a mobile agent with human confirmation in the loop.&lt;/p&gt;
&lt;h2 id=&#34;screen-and-image-context-matter-more&#34;&gt;Screen and Image Context Matter More
&lt;/h2&gt;&lt;p&gt;One important change is screen context and image context.&lt;/p&gt;
&lt;p&gt;Older phone assistants mostly relied on voice commands and fixed app integrations. Gemini Intelligence puts more emphasis on “seeing” the current screen. For example, if a user has a shopping list in notes, they can long-press the power button to summon Gemini and ask it to create a delivery cart from the list.&lt;/p&gt;
&lt;p&gt;This means Android AI is not just a chatbot. It is trying to understand the user’s current operating environment. Future mobile AI competition may depend not only on who has the better model answer, but also on:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether the AI can understand the current screen.&lt;/li&gt;
&lt;li&gt;Whether it can act across apps.&lt;/li&gt;
&lt;li&gt;Whether it can track task progress in the background.&lt;/li&gt;
&lt;li&gt;Whether it can reliably ask for confirmation at key points.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That is a major difference between mobile AI and web chat AI.&lt;/p&gt;
&lt;h2 id=&#34;chrome-from-search-to-web-task-agent&#34;&gt;Chrome: From Search to Web Task Agent
&lt;/h2&gt;&lt;p&gt;Google says Android devices will get a smarter Gemini in Chrome starting in late June 2026.&lt;/p&gt;
&lt;p&gt;It can help users research, summarize, and compare web content, and Chrome auto browse can handle some repetitive web tasks such as appointments and parking reservations.&lt;/p&gt;
&lt;p&gt;This means Gemini in Chrome is not just a page-summary feature. It is moving toward a browser agent. The browser is already where users complete many web tasks. If Gemini can understand pages, fill information, compare options, and execute some steps, Chrome becomes a task execution surface.&lt;/p&gt;
&lt;p&gt;The challenge is practical:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Websites are complex, so automated actions can fail.&lt;/li&gt;
&lt;li&gt;Forms, payments, logins, and CAPTCHAs require caution.&lt;/li&gt;
&lt;li&gt;Users need to know what Gemini did.&lt;/li&gt;
&lt;li&gt;Final submission, payment, or booking should usually remain human-confirmed.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The hard part is not only model capability, but browser automation, safety boundaries, and user trust.&lt;/p&gt;
&lt;h2 id=&#34;autofill-from-password-filling-to-complex-forms&#34;&gt;Autofill: From Password Filling to Complex Forms
&lt;/h2&gt;&lt;p&gt;Autofill with Google was mostly about passwords, addresses, and payment details. Google now wants to upgrade it into a smarter form assistant.&lt;/p&gt;
&lt;p&gt;With Gemini’s Personal Intelligence, Android can use relevant information from connected apps to fill more complex form fields, including forms in Chrome.&lt;/p&gt;
&lt;p&gt;This is very practical. Filling complex forms on mobile is painful: small screen, many fields, and information scattered across email, calendar, chats, and documents. If Gemini can organize and fill this information with user permission, it can save a lot of time.&lt;/p&gt;
&lt;p&gt;Google also stresses that connecting Gemini and Autofill with Google is strictly opt-in. Users choose whether to connect them and can turn the connection on or off in settings.&lt;/p&gt;
&lt;p&gt;That matters because Autofill touches personal details, addresses, accounts, payments, work information, and sensitive forms. The more useful it becomes, the more important explicit permission and easy opt-out become.&lt;/p&gt;
&lt;h2 id=&#34;rambler-turning-speech-into-sendable-text&#34;&gt;Rambler: Turning Speech into Sendable Text
&lt;/h2&gt;&lt;p&gt;Rambler is one of the more interesting new features.&lt;/p&gt;
&lt;p&gt;Gboard already supports speech-to-text, but natural speech often includes repetition, pauses, filler words, and self-corrections. Rambler’s goal is to turn natural speech into clearer text that is ready to send.&lt;/p&gt;
&lt;p&gt;It is useful when:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You want to dictate a message quickly without editing every word.&lt;/li&gt;
&lt;li&gt;Your speech includes pauses, repetition, or filler.&lt;/li&gt;
&lt;li&gt;You need to turn a rough thought into a more professional text, email, or chat message.&lt;/li&gt;
&lt;li&gt;You switch between languages and want the system to understand context.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Google says Rambler will clearly show when it is enabled, and audio is used only for real-time transcription and not saved. This is a response to privacy and transparency concerns.&lt;/p&gt;
&lt;p&gt;From a product perspective, Rambler upgrades “voice input” into “voice writing.” It does not only record what you said; it helps turn speech into sendable text.&lt;/p&gt;
&lt;h2 id=&#34;natural-language-widgets&#34;&gt;Natural-Language Widgets
&lt;/h2&gt;&lt;p&gt;Gemini Intelligence also introduces Create My Widget. Users can describe a widget in natural language, such as “recommend three high-protein meal prep recipes every week,” and Android generates a custom widget for the home screen.&lt;/p&gt;
&lt;p&gt;This points toward generative UI. Users no longer pick only from fixed widget templates; they describe the information and presentation they want.&lt;/p&gt;
&lt;p&gt;If the idea matures, the phone home screen could become much more personal. Weather, schedule, health, commute, food, learning, and work reminders could all become dynamic modules generated around user needs.&lt;/p&gt;
&lt;p&gt;But generative UI also needs stability. A widget is not a one-off chat response. It sits on the home screen for a long time and must be reliable, readable, configurable, and visually controlled.&lt;/p&gt;
&lt;h2 id=&#34;material-3-expressive-and-intelligent-ui&#34;&gt;Material 3 Expressive and Intelligent UI
&lt;/h2&gt;&lt;p&gt;Google also says Gemini Intelligence will bring design updates based on Material 3 Expressive.&lt;/p&gt;
&lt;p&gt;This is not just decoration. When AI starts acting proactively, the UI needs to clearly show:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;What the AI is doing.&lt;/li&gt;
&lt;li&gt;Which steps are done.&lt;/li&gt;
&lt;li&gt;Where user confirmation is needed.&lt;/li&gt;
&lt;li&gt;How the user can cancel or change the action.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Proactive AI without clear UI easily makes users feel out of control. Design language becomes part of the AI product experience.&lt;/p&gt;
&lt;h2 id=&#34;availability-and-rollout&#34;&gt;Availability and Rollout
&lt;/h2&gt;&lt;p&gt;According to Google, Gemini Intelligence features will start on the latest Samsung Galaxy and Google Pixel phones in summer 2026, then expand to more Android devices, including watches, cars, glasses, and laptops.&lt;/p&gt;
&lt;p&gt;This is not a global all-at-once launch. Availability may depend on device, region, language, app support, and account settings.&lt;/p&gt;
&lt;p&gt;If you want to try it, the realistic expectations are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Watch Pixel and Samsung flagship phones first.&lt;/li&gt;
&lt;li&gt;Watch for system updates after summer 2026.&lt;/li&gt;
&lt;li&gt;Look for new toggles in Gemini, Chrome, Gboard, Autofill, and Android settings.&lt;/li&gt;
&lt;li&gt;Not every region and language will support every feature at the same time.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;what-this-means-for-android&#34;&gt;What This Means for Android
&lt;/h2&gt;&lt;p&gt;Gemini Intelligence on Android is not just a bundle of small AI features. It changes Android’s product direction.&lt;/p&gt;
&lt;p&gt;Traditional phone operating systems manage apps, notifications, permissions, files, and hardware. Google now wants the system to understand user intent and complete tasks across apps. If this works, Android’s competition will shift from “system features and app ecosystem” toward “how well the system can proactively help users do things.”&lt;/p&gt;
&lt;p&gt;It also changes mobile AI competition:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Apple will emphasize on-device integration, privacy, and system-level control.&lt;/li&gt;
&lt;li&gt;Google will emphasize Gemini, Search, Chrome, Android, and multi-device ecosystems.&lt;/li&gt;
&lt;li&gt;Third-party AI apps will find it harder to compete with system-level entry points.&lt;/li&gt;
&lt;li&gt;App developers will need to think about how their apps can be called by AI agents.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In the next few years, AI on phones may no longer be just a chat entry point. It may become the system-level execution layer.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Gemini Intelligence on Android is not about adding another Gemini chat box to the phone. It puts AI into Android’s operating flow. Multi-step automation, smarter Chrome browsing, Autofill, Rambler, and natural-language widgets all aim to turn the phone from a passive tool into a proactive assistant.&lt;/p&gt;
&lt;p&gt;Whether it changes user habits depends on reliability, clear privacy controls, smooth cross-app operation, and keeping users in final control. At least from this announcement, Google is defining the next stage of Android as a proactive AI system, not just a traditional mobile operating system.&lt;/p&gt;
&lt;p&gt;Reference:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://blog.google/products-and-platforms/platforms/android/gemini-intelligence/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Google Blog: A smarter, more proactive Android with Gemini Intelligence&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Why Did Codex Usage Limits Suddenly Reset? History and Sources</title>
        <link>https://knightli.com/en/2026/05/17/codex-usage-limit-reset-history/</link>
        <pubDate>Sun, 17 May 2026 08:36:15 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/17/codex-usage-limit-reset-history/</guid>
        <description>&lt;p&gt;Codex users sometimes see an odd situation: their usage limits recover even though their normal reset time has not arrived. This kind of unexpected reset is not new, and it does not necessarily mean the quota policy has permanently become more generous. It may come from incident compensation, product promotions, growth milestones, or a backend reset that only applies to certain windows or account states.&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/17/codex-usage-limit-reset-history/tibo-codex-gpt55-reset.png&#34;
	width=&#34;1146&#34;
	height=&#34;712&#34;
	srcset=&#34;https://knightli.com/2026/05/17/codex-usage-limit-reset-history/tibo-codex-gpt55-reset_hu_8e2e55bed895f615.png 480w, https://knightli.com/2026/05/17/codex-usage-limit-reset-history/tibo-codex-gpt55-reset_hu_1736ae030ba80b22.png 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Screenshot of Tibo discussing a Codex usage limits reset&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;160&#34;
		data-flex-basis=&#34;386px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;This screenshot comes from a post on X by Tibo Sottiaux (@thsottiaux), who leads the OpenAI Codex team. For users tracking limits, the key point is not the model detail but the line saying he would reset usage limits that evening. The context suggests this was a compensating reset, not a normal scheduled refresh.&lt;/p&gt;
&lt;h2 id=&#34;short-version&#34;&gt;Short Version
&lt;/h2&gt;&lt;p&gt;Sudden Codex usage limit resets usually fall into several categories:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Incident compensation&lt;/strong&gt;: a Codex or model issue wastes user quota, so OpenAI resets limits to make up for it.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Launch or promotion events&lt;/strong&gt;: a new model, client, or feature ships with temporary extra capacity or a reset.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Growth milestones&lt;/strong&gt;: OpenAI resets or raises limits after Codex reaches a user-growth milestone.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Backend policy changes&lt;/strong&gt;: only some quota windows or account states are reset, and the UI may not explain the scope.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The most common misunderstanding is assuming that “reset” means every visible quota window recovered. In practice, Codex may have short rolling windows, weekly limits, model-specific consumption weights, and plan-specific rules. A special reset may only affect part of that system.&lt;/p&gt;
&lt;h2 id=&#34;what-this-screenshot-shows&#34;&gt;What This Screenshot Shows
&lt;/h2&gt;&lt;p&gt;The screenshot shows Tibo posting an update on May 15, 2026, saying the team would continue monitoring and reset usage limits that evening. It quotes an earlier message saying the team was investigating reports from some users.&lt;/p&gt;
&lt;p&gt;For users, there are three practical takeaways:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;This was not a normal user-specific reset cycle; it was an active reset by the team.&lt;/li&gt;
&lt;li&gt;The reset had a specific event context and was not a permanent limit increase.&lt;/li&gt;
&lt;li&gt;The phrase “usage limits” does not by itself clarify whether both short windows and weekly limits were included.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;So if your quota recovered, treat it first as a special reset event, not as evidence that future limits have changed.&lt;/p&gt;
&lt;h2 id=&#34;why-codex-resets-can-feel-unexpected&#34;&gt;Why Codex Resets Can Feel Unexpected
&lt;/h2&gt;&lt;p&gt;Codex limits are not simply “refreshed at a fixed time every day.” The backend may track several things at once:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Short usage windows, such as a few-hour window.&lt;/li&gt;
&lt;li&gt;Weekly or longer-period limits.&lt;/li&gt;
&lt;li&gt;Different consumption weights for different models.&lt;/li&gt;
&lt;li&gt;Different entry points such as local Codex, Cloud Tasks, IDEs, and the CLI.&lt;/li&gt;
&lt;li&gt;Plan differences across Plus, Pro, Business, and Team.&lt;/li&gt;
&lt;li&gt;Whether an account is eligible for a special reset.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;When OpenAI applies a special reset, the UI may not clearly say whether it was a normal cycle refresh or a special compensation event. If only the short window resets, users may assume the weekly limit should also recover. If the weekly limit does not move, it can look like the reset failed.&lt;/p&gt;
&lt;p&gt;An issue in the OpenAI Codex GitHub repository raised the same transparency problem: public messaging said Codex rate limits had been reset, but the product UI did not clearly show which windows were reset, whether the weekly limit was included, or whether all paid plans were affected equally.&lt;/p&gt;
&lt;h2 id=&#34;historical-patterns&#34;&gt;Historical Patterns
&lt;/h2&gt;&lt;h3 id=&#34;1-february-2026-launch-period-and-temporary-extra-capacity&#34;&gt;1. February 2026: Launch Period and Temporary Extra Capacity
&lt;/h3&gt;&lt;p&gt;During the Codex desktop app and &lt;code&gt;GPT-5.3-Codex&lt;/code&gt; promotion period, community users discussed usage limit resets and temporary 2x rate limits. Reddit users mentioned that the Codex app launch came with limited-time 2x rate limits and a usage limit reset.&lt;/p&gt;
&lt;p&gt;This kind of reset looks more like a launch-period operation: encourage people to try the new client, model, or workflow.&lt;/p&gt;
&lt;h3 id=&#34;2-march-2026-random-resets-and-abnormal-consumption&#34;&gt;2. March 2026: Random Resets and Abnormal Consumption
&lt;/h3&gt;&lt;p&gt;Around March, the community repeatedly discussed “random usage reset” and “weekly limit reset daily” behavior. Some users said their weekly limit recovered early, while others connected the behavior to new Codex models, safety blocks, abnormal quota burn, or bug fixes.&lt;/p&gt;
&lt;p&gt;These discussions are not official announcements, but they show that users had already observed Codex limits recovering outside their normal schedules.&lt;/p&gt;
&lt;h3 id=&#34;3-april-2026-growth-milestones-and-paid-plan-resets&#34;&gt;3. April 2026: Growth Milestones and Paid-Plan Resets
&lt;/h3&gt;&lt;p&gt;In late April, public reporting said Codex had reached 3 million weekly active users and that OpenAI reset rate limits, with plans to give users more room at later growth milestones.&lt;/p&gt;
&lt;p&gt;A GitHub issue also cited a Tibo post from April 28 saying he had reset Codex rate limits for paid plans after a “good week,” so users could build more with &lt;code&gt;GPT-5.5&lt;/code&gt;. The same issue noted that the product UI did not clearly explain which quota windows were actually reset or whether the weekly limit was included.&lt;/p&gt;
&lt;p&gt;This shows why activity-based resets can still cause confusion: users may hear broad wording but see different behavior in their own account.&lt;/p&gt;
&lt;h3 id=&#34;4-may-2026-compensation-reset&#34;&gt;4. May 2026: Compensation Reset
&lt;/h3&gt;&lt;p&gt;The screenshot in this post is a clearer example of a compensation-style reset. Tibo said the team had found issues and would reset usage limits that evening. OpenAI Status also recorded Codex-related elevated errors and degraded latency on May 13, 2026.&lt;/p&gt;
&lt;p&gt;For ordinary users, the point is not which model detail caused the issue. The key lesson is that OpenAI may reset limits when a service-side problem causes users to burn quota abnormally.&lt;/p&gt;
&lt;h2 id=&#34;how-to-interpret-a-sudden-reset&#34;&gt;How to Interpret a Sudden Reset
&lt;/h2&gt;&lt;p&gt;If your Codex quota suddenly recovers, check in this order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Confirm whether your normal reset time had arrived.&lt;/li&gt;
&lt;li&gt;Check OpenAI Status for Codex incidents, model errors, latency, or degraded performance.&lt;/li&gt;
&lt;li&gt;Look for updates from Tibo, OpenAI accounts, or Codex GitHub issues.&lt;/li&gt;
&lt;li&gt;See whether community users are reporting the same reset, abnormal burn, or weekly-limit confusion.&lt;/li&gt;
&lt;li&gt;Separate short-window resets from weekly limits; do not assume they always move together.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If it is official incident compensation, there is usually a status-page entry, a team announcement, or a cluster of user reports. If it is only a partial backend refresh, there may be no clear public announcement.&lt;/p&gt;
&lt;h2 id=&#34;how-reliable-are-the-sources&#34;&gt;How Reliable Are the Sources?
&lt;/h2&gt;&lt;p&gt;It helps to separate sources by reliability:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;OpenAI Status&lt;/strong&gt;: best for confirming service incidents, error rates, latency, and recovery times.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Tibo / OpenAI official accounts&lt;/strong&gt;: useful for special reset, compensation, or promotion messaging.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;OpenAI Codex GitHub issues&lt;/strong&gt;: useful for seeing user reports about UI behavior, quota windows, and actual product behavior.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Reddit / X discussions&lt;/strong&gt;: useful for spotting broad user patterns, but not official confirmation.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Third-party news or blogs&lt;/strong&gt;: useful for timeline context, but should be checked against original sources.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;When writing or making decisions, keep these layers separate. “OpenAI Status recorded an incident” is an official status signal. “Reddit users reported random resets” is community observation. “A GitHub issue reported unclear UI behavior” is a user-submitted product issue.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;A sudden Codex usage limit reset is usually not just “free quota from nowhere.” It may come from incident compensation, launch promotion, growth activity, or a backend policy update. The confusing part is that Codex has multiple quota windows, and a special reset may not include all of them. The UI may also fail to show the reset scope clearly.&lt;/p&gt;
&lt;p&gt;When it happens, check your actual client-side quota first, then compare it with OpenAI Status, Tibo’s posts, Codex GitHub issues, and community reports. Do not assume one reset means the long-term rules have changed, and do not assume weekly limits, short windows, and every plan all reset together.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://status.openai.com/incidents/01KRG6MF021JQ997JCR7R8Y9A0&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;OpenAI Status: Codex 5.5 engines are experiencing high error rate&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.reddit.com/r/LovingCodex/comments/1teo5ki/tibo_we_foundfixed_two_issues_that_could_explain/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Reddit repost of Tibo&amp;rsquo;s announcement screenshot and X link&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/openai/codex/issues/20395&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;GitHub: Clarify Codex rate-limit reset behavior and make reset scope visible in Usage UI&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.createwith.com/tool/chatgpt/updates/chatgpt-codex-hits-3-million-weekly-users-openai-resets-rate-limits&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Create With: ChatGPT Codex Hits 3 Million Weekly Users, OpenAI Resets Rate Limits&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.reddit.com/r/codex/comments/1rjcwli/usage_limit_reset/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Reddit: Usage limit reset?&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.reddit.com/r/codex/comments/1qu2gjx/when_the_unnexpected_usage_limit_reset_hits_ty/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Reddit: when the unexpected usage limit reset hits&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>What Is ChatGPT File Library? File Storage, Limits, and Privacy Boundaries</title>
        <link>https://knightli.com/en/2026/05/16/chatgpt-file-library-storage-limits-privacy/</link>
        <pubDate>Sat, 16 May 2026 17:40:14 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/16/chatgpt-file-library-storage-limits-privacy/</guid>
        <description>&lt;p&gt;&lt;code&gt;ChatGPT File Library&lt;/code&gt; is the file library inside ChatGPT.&lt;/p&gt;
&lt;p&gt;Previously, files uploaded to a conversation were mostly useful for that one chat. With File Library, files you upload or files created by ChatGPT can be saved to your account, found later, downloaded, deleted, or referenced again in a new conversation.&lt;/p&gt;
&lt;p&gt;This makes ChatGPT feel more like a persistent workspace, not just a temporary chat box.&lt;/p&gt;
&lt;h2 id=&#34;latest-availability&#34;&gt;Latest availability
&lt;/h2&gt;&lt;p&gt;According to OpenAI&amp;rsquo;s May 14, 2026 ChatGPT Release Notes, File Library is expanding to Free and Go users, including users in the European Economic Area. OpenAI also added storage management across plans.&lt;/p&gt;
&lt;p&gt;One detail matters: the dedicated File storage and Library help page still showed an older availability statement when checked, saying the Library was for Plus, Pro, and Business users outside the EEA, Switzerland, and the UK, and web-only.&lt;/p&gt;
&lt;p&gt;Help pages can lag behind release notes. This article follows the newer May 14, 2026 Release Notes: File Library has started expanding to Free, Go, and more regions, but actual visibility still depends on rollout, region, and app version.&lt;/p&gt;
&lt;h2 id=&#34;what-it-saves&#34;&gt;What it saves
&lt;/h2&gt;&lt;p&gt;ChatGPT can save files you upload or create, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;documents;&lt;/li&gt;
&lt;li&gt;spreadsheets;&lt;/li&gt;
&lt;li&gt;presentations;&lt;/li&gt;
&lt;li&gt;PDFs;&lt;/li&gt;
&lt;li&gt;images;&lt;/li&gt;
&lt;li&gt;files generated by ChatGPT.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Generated images still appear in the Images tab. File Library is more like a central place to manage uploaded and generated files.&lt;/p&gt;
&lt;p&gt;If you often ask ChatGPT to analyze PDFs, organize spreadsheets, create documents, or work with presentations, this reduces repeated uploads and makes reuse easier.&lt;/p&gt;
&lt;h2 id=&#34;adding-files-to-a-new-chat&#34;&gt;Adding files to a new chat
&lt;/h2&gt;&lt;p&gt;In supported clients, you can open the attachment or add menu near the composer and choose &lt;code&gt;Add from library&lt;/code&gt;, then select a saved file.&lt;/p&gt;
&lt;p&gt;The Release Notes also mention Library and Recent files in the composer across Web, iOS, and Android. That means mobile clients can continue using saved or recent files too.&lt;/p&gt;
&lt;h2 id=&#34;finding-and-managing-files&#34;&gt;Finding and managing files
&lt;/h2&gt;&lt;p&gt;On the web, Library is available from the left sidebar. You can review uploaded and generated files, filter by type or source, and manage storage.&lt;/p&gt;
&lt;p&gt;The help page lists filters such as uploaded files, generated files, images, documents, spreadsheets, presentations, and PDFs.&lt;/p&gt;
&lt;p&gt;Storage management is available from &lt;code&gt;Settings &amp;gt; Storage&lt;/code&gt;, and files can also be deleted directly from Library.&lt;/p&gt;
&lt;h2 id=&#34;storage-by-plan&#34;&gt;Storage by plan
&lt;/h2&gt;&lt;p&gt;OpenAI&amp;rsquo;s May 14, 2026 Release Notes list these capacities:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Plan&lt;/th&gt;
          &lt;th&gt;File Library storage&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Free&lt;/td&gt;
          &lt;td&gt;500 MB&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Go&lt;/td&gt;
          &lt;td&gt;4 GB&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Plus&lt;/td&gt;
          &lt;td&gt;20 GB&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Business&lt;/td&gt;
          &lt;td&gt;20 GB&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Pro&lt;/td&gt;
          &lt;td&gt;100 GB&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;This storage includes uploaded files and files created by ChatGPT, such as documents, spreadsheets, presentations, and images.&lt;/p&gt;
&lt;p&gt;For light users, 500 MB is enough for some PDFs, screenshots, and small documents. Heavy users should treat 20 GB or 100 GB more like a real working library and manage it regularly.&lt;/p&gt;
&lt;h2 id=&#34;per-file-limits&#34;&gt;Per-file limits
&lt;/h2&gt;&lt;p&gt;OpenAI&amp;rsquo;s help page lists these file limits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;files uploaded to GPTs or ChatGPT conversations can be up to 512 MB each;&lt;/li&gt;
&lt;li&gt;text and document files can contain up to 2 million tokens;&lt;/li&gt;
&lt;li&gt;CSV or spreadsheet files are usually around 50 MB, depending on row size;&lt;/li&gt;
&lt;li&gt;images can be up to 20 MB each.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These are separate from account storage. Even if your account has free space, a single file cannot exceed its own limit.&lt;/p&gt;
&lt;h2 id=&#34;deleting-and-downloading&#34;&gt;Deleting and downloading
&lt;/h2&gt;&lt;p&gt;Files stay in your account until you delete them.&lt;/p&gt;
&lt;p&gt;In Library, select a file and use delete or the trash icon. OpenAI&amp;rsquo;s help page says deleted files are removed from the account immediately and scheduled for permanent deletion from OpenAI systems within 30 days, unless they have been de-identified and disconnected from the account or must be retained for security or legal obligations.&lt;/p&gt;
&lt;p&gt;Files can also be downloaded from Library. If you often ask ChatGPT to generate documents, spreadsheets, or presentations, download and cleanup will become normal maintenance.&lt;/p&gt;
&lt;h2 id=&#34;temporary-chat-does-not-save-files&#34;&gt;Temporary Chat does not save files
&lt;/h2&gt;&lt;p&gt;Files uploaded in Temporary Chat are not saved to your account or Library.&lt;/p&gt;
&lt;p&gt;This is important. File Library is designed for reuse; Temporary Chat is better for temporary, sensitive, or one-off tasks where you do not want long-term context.&lt;/p&gt;
&lt;p&gt;If a file is only for a quick question and should not be kept, use Temporary Chat. If you will reuse it, Library is more convenient.&lt;/p&gt;
&lt;h2 id=&#34;data-and-training-settings&#34;&gt;Data and training settings
&lt;/h2&gt;&lt;p&gt;OpenAI&amp;rsquo;s help page says files and chats follow your settings and data controls.&lt;/p&gt;
&lt;p&gt;If Memory is enabled, files and chats may help ChatGPT remember useful information across conversations. For consumer services, if &lt;code&gt;Improve the model for everyone&lt;/code&gt; is enabled, OpenAI may use content submitted to ChatGPT, including uploaded files, to improve model performance. This can be turned off in &lt;code&gt;Settings &amp;gt; Data Controls&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;File Library is not a local folder. It is a cloud account feature, so think carefully about which documents should be uploaded.&lt;/p&gt;
&lt;h2 id=&#34;good-and-bad-use-cases&#34;&gt;Good and bad use cases
&lt;/h2&gt;&lt;p&gt;Good fits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;analyzing the same PDFs or reports over time;&lt;/li&gt;
&lt;li&gt;reusing course materials, meeting notes, or product documents;&lt;/li&gt;
&lt;li&gt;continuing to edit files generated by ChatGPT;&lt;/li&gt;
&lt;li&gt;reusing the same source material across conversations;&lt;/li&gt;
&lt;li&gt;turning ChatGPT into a lightweight knowledge workspace.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Poor fits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;highly sensitive identity documents, contracts, medical records, or financial statements;&lt;/li&gt;
&lt;li&gt;using it as a formal cloud backup;&lt;/li&gt;
&lt;li&gt;letting old files accumulate without cleanup;&lt;/li&gt;
&lt;li&gt;uploading company internal documents without checking data controls.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My take
&lt;/h2&gt;&lt;p&gt;The value of ChatGPT File Library is not just a file list. It changes ChatGPT from a one-off chat tool into a workspace with persistent materials.&lt;/p&gt;
&lt;p&gt;That also creates new habits: clean up old files, watch storage, distinguish normal chats from Temporary Chat, and review data controls.&lt;/p&gt;
&lt;p&gt;If you often use ChatGPT for documents, spreadsheets, and research materials, File Library saves time. If you only upload sensitive files occasionally, be more careful.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://help.openai.com/en/articles/20001052-file-storage-and-library-in-chatgpt&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;OpenAI Help Center: File storage and Library in ChatGPT&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://help.openai.com/en/articles/6825453-chatgpt-release-notes&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;OpenAI Help Center: ChatGPT Release Notes&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-5.5 Prompt Migration Guide: Why old prompts should be trimmed before rewritten</title>
        <link>https://knightli.com/en/2026/05/15/gpt-5-5-prompting-guide/</link>
        <pubDate>Fri, 15 May 2026 01:25:27 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/15/gpt-5-5-prompting-guide/</guid>
        <description>&lt;p&gt;OpenAI has updated the &lt;code&gt;GPT-5.5 prompting guide&lt;/code&gt; in its API documentation. The most useful part of the guide is not that it gives yet another longer prompt template, but that it reminds developers of something easy to miss: when migrating to GPT-5.5, many old prompts should become shorter.&lt;/p&gt;
&lt;p&gt;Official documentation: &lt;a class=&#34;link&#34; href=&#34;https://developers.openai.com/api/docs/guides/prompt-guidance&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://developers.openai.com/api/docs/guides/prompt-guidance&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;In one sentence, the prompting direction for GPT-5.5 is: write less process and more outcome; stack fewer rules and define acceptance criteria better; use fewer &amp;ldquo;always must&amp;rdquo; instructions and specify when to stop, when to validate, and when to gather more evidence.&lt;/p&gt;
&lt;h2 id=&#34;why-old-prompts-need-rewriting&#34;&gt;Why old prompts need rewriting
&lt;/h2&gt;&lt;p&gt;Many production prompts are built layer by layer. When a model is unstable, one rule is added. When tool use fails, another prohibition is added. When output gets verbose, another formatting paragraph appears. Over time, a system prompt becomes a heavy operations manual.&lt;/p&gt;
&lt;p&gt;That style can be useful with older models, because the model may need more step-by-step constraints to stay on track. But with GPT-5.5, OpenAI&amp;rsquo;s advice is clear: do not move the old prompt stack over unchanged.&lt;/p&gt;
&lt;p&gt;Over-specifying the process brings several side effects:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;More noise: the model must find the truly important constraints inside many old rules.&lt;/li&gt;
&lt;li&gt;Narrower search space: the model becomes less willing to choose a more efficient solution.&lt;/li&gt;
&lt;li&gt;Mechanical output: it looks like script execution instead of problem solving.&lt;/li&gt;
&lt;li&gt;Conflicting old rules: tool calls and final answers can both become worse.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;GPT-5.5 is better served by prompts that describe the target state, constraints, available evidence, and final output, instead of hard-coding every step.&lt;/p&gt;
&lt;h2 id=&#34;outcome-first-define-what-done-means-first&#34;&gt;outcome-first: define what done means first
&lt;/h2&gt;&lt;p&gt;The official documentation repeatedly emphasizes one direction: GPT-5.5 works best with outcome-first prompts.&lt;/p&gt;
&lt;p&gt;That means the prompt should first define:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;What the target result is.&lt;/li&gt;
&lt;li&gt;What counts as success.&lt;/li&gt;
&lt;li&gt;Which constraints cannot be crossed.&lt;/li&gt;
&lt;li&gt;What context is currently available.&lt;/li&gt;
&lt;li&gt;Which fields or sections the final answer must include.&lt;/li&gt;
&lt;li&gt;What to do when evidence is insufficient.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A less recommended style is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;First check A, then check B, then compare all fields, then consider every exception, then decide which tool to call, then call the tool, and finally explain the full process.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;A better style for GPT-5.5 is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Solve the user&amp;#39;s problem. Success criteria:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Make the decision based on available policy and account data
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- If the action is allowed, complete it before replying
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Final output includes completed_actions, customer_message, blockers
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- If key evidence is missing, ask only for the smallest necessary fields
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This does not make the prompt vague. It moves control from &amp;ldquo;process order&amp;rdquo; to &amp;ldquo;outcome and boundaries.&amp;rdquo; The model can choose its own search, reasoning, and tool-use path, but it must satisfy the success criteria.&lt;/p&gt;
&lt;h2 id=&#34;use-fewer-absolute-rules-and-more-decision-rules&#34;&gt;Use fewer absolute rules and more decision rules
&lt;/h2&gt;&lt;p&gt;Old prompts often contain many instances of &lt;code&gt;ALWAYS&lt;/code&gt;, &lt;code&gt;NEVER&lt;/code&gt;, &lt;code&gt;must&lt;/code&gt;, and &lt;code&gt;only&lt;/code&gt;. These words are not forbidden, but they should be reserved for constraints that truly cannot be violated, such as safety rules, required fields, and prohibited actions.&lt;/p&gt;
&lt;p&gt;For decisions like &amp;ldquo;when to search,&amp;rdquo; &amp;ldquo;when to ask the user,&amp;rdquo; &amp;ldquo;when to keep iterating,&amp;rdquo; and &amp;ldquo;when to stop,&amp;rdquo; GPT-5.5 is better served by decision rules.&lt;/p&gt;
&lt;p&gt;For example, instead of writing:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Always search three times first.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Write:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Start with one search that covers the core question. If the first few results already support the key facts, stop searching and answer. Continue searching only when evidence is conflicting, missing, or insufficient to support the conclusion.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This gives the model room to decide, and it also gives it a stopping condition. For products that use web search, retrieval, file search, or database queries, this matters because every additional tool call adds latency and cost.&lt;/p&gt;
&lt;h2 id=&#34;add-a-retrieval-budget&#34;&gt;Add a retrieval budget
&lt;/h2&gt;&lt;p&gt;One type of rule worth adding to GPT-5.5 prompts is a &lt;code&gt;retrieval budget&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;This is not a money budget. It is a retrieval stopping rule. It tells the model when evidence is sufficient, when to keep looking, and when to admit that evidence is missing.&lt;/p&gt;
&lt;p&gt;A practical version:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;For ordinary Q&amp;amp;A, start with one broad search using short and distinctive keywords. If the first few results already support the core request, answer based on those results and do not continue searching. Add more retrieval only when results conflict, key facts are missing, or the conclusion cannot be supported.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This kind of rule reduces two common problems:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Too little search, producing answers without evidence.&lt;/li&gt;
&lt;li&gt;Too much search, wasting time in a tool loop.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;More importantly, the documentation also reminds us that failing to find evidence should not automatically become a factual &amp;ldquo;no.&amp;rdquo; Sometimes the right behavior is to state that the evidence is insufficient, or narrow the question and continue checking.&lt;/p&gt;
&lt;h2 id=&#34;do-not-raise-reasoning-effort-too-early&#34;&gt;Do not raise reasoning effort too early
&lt;/h2&gt;&lt;p&gt;GPT-5.5 is more reasoning-efficient, so OpenAI recommends reevaluating &lt;code&gt;low&lt;/code&gt; and &lt;code&gt;medium&lt;/code&gt; instead of immediately increasing reasoning effort whenever quality is not good enough.&lt;/p&gt;
&lt;p&gt;A steadier order is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;First check whether the prompt clearly defines the goal, output format, and stop conditions.&lt;/li&gt;
&lt;li&gt;Add a validation loop, such as tests, citations, review, or render checks.&lt;/li&gt;
&lt;li&gt;Add persistence rules and completion criteria for tool use.&lt;/li&gt;
&lt;li&gt;Only then raise reasoning effort if the task still needs it.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;In other words, &lt;code&gt;reasoning.effort&lt;/code&gt; is more like a final tuning knob. It should not replace clear prompt design.&lt;/p&gt;
&lt;p&gt;For short classification, field extraction, support ticket routing, or format conversion, start with lower reasoning cost. For long-document synthesis, conflicting-source judgment, strategy writing, or complex research, consider &lt;code&gt;medium&lt;/code&gt; or higher.&lt;/p&gt;
&lt;h2 id=&#34;textverbosity-controls-output-not-thinking&#34;&gt;text.verbosity controls output, not thinking
&lt;/h2&gt;&lt;p&gt;GPT-5.5 is highly controllable in output format. The official documentation recommends using &lt;code&gt;text.verbosity&lt;/code&gt; together with the output requirements in the prompt.&lt;/p&gt;
&lt;p&gt;The default &lt;code&gt;text.verbosity&lt;/code&gt; is &lt;code&gt;medium&lt;/code&gt;. If the product needs shorter, cleaner replies, use &lt;code&gt;low&lt;/code&gt;. But that does not mean every part of the result should become short.&lt;/p&gt;
&lt;p&gt;A typical pattern:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Keep user-facing status updates and final summaries short.&lt;/li&gt;
&lt;li&gt;Still require readability when generating code, configuration, or structured results.&lt;/li&gt;
&lt;li&gt;Do not sacrifice field completeness, citations, or necessary caveats just to be &amp;ldquo;brief.&amp;rdquo;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is especially useful for code products. Chat replies can be shorter, while generated code can still require readable variable names, clear structure, and necessary comments.&lt;/p&gt;
&lt;h2 id=&#34;preamble-and-phase-making-long-tasks-feel-visible&#34;&gt;preamble and phase: making long tasks feel visible
&lt;/h2&gt;&lt;p&gt;In complex tasks, GPT-5.5 may first reason, plan, or prepare tool calls before producing visible text. For streaming products, users can feel the first-token delay.&lt;/p&gt;
&lt;p&gt;The official recommendation is: for multi-step, tool-heavy, or long-running tasks, let the model send a short preamble first. It does not need to explain the full plan; it only needs to tell the user what it will do first.&lt;/p&gt;
&lt;p&gt;For example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;I will first inspect the relevant files and existing configuration, then suggest the changes.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;In long-running or tool-heavy Responses API workflows, also pay attention to the assistant item&amp;rsquo;s &lt;code&gt;phase&lt;/code&gt;. If the application uses &lt;code&gt;previous_response_id&lt;/code&gt;, the API keeps prior assistant state automatically. If the application manually replays assistant output, it must preserve the original &lt;code&gt;phase&lt;/code&gt; value.&lt;/p&gt;
&lt;p&gt;Common conventions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;phase: &amp;quot;commentary&amp;quot;&lt;/code&gt;: intermediate status update.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;phase: &amp;quot;final_answer&amp;quot;&lt;/code&gt;: final answer.&lt;/li&gt;
&lt;li&gt;Do not add &lt;code&gt;phase&lt;/code&gt; to user messages.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This may look like a low-level implementation detail, but it matters for products with tool calls, status updates, and final answers. Losing &lt;code&gt;phase&lt;/code&gt; during manual replay can make the model confuse progress updates with final conclusions.&lt;/p&gt;
&lt;h2 id=&#34;prompt-the-model-to-check-its-work&#34;&gt;Prompt the model to check its work
&lt;/h2&gt;&lt;p&gt;Another very practical point in the GPT-5.5 guide: for tasks that can be verified, give the model validation tools and validation rules.&lt;/p&gt;
&lt;p&gt;For code agents, explicitly require:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Run relevant unit tests after making changes.&lt;/li&gt;
&lt;li&gt;Run type checks or lint when necessary.&lt;/li&gt;
&lt;li&gt;Run build when the affected package is large.&lt;/li&gt;
&lt;li&gt;If full validation is too expensive, at least do the smallest smoke test.&lt;/li&gt;
&lt;li&gt;If validation cannot run, explain why and give the next best check.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For visual or page outputs, require rendering first, then checking layout, cropping, spacing, missing content, and visual consistency.&lt;/p&gt;
&lt;p&gt;For engineering plans, require mappings to requirements, affected files/APIs/systems, state transitions, validation commands, failure behavior, privacy and security considerations, and open questions that truly affect implementation.&lt;/p&gt;
&lt;p&gt;These rules are much more effective than &amp;ldquo;please be careful.&amp;rdquo; They turn &amp;ldquo;careful&amp;rdquo; into executable checks.&lt;/p&gt;
&lt;h2 id=&#34;a-prompt-skeleton-better-suited-for-gpt-55&#34;&gt;A prompt skeleton better suited for GPT-5.5
&lt;/h2&gt;&lt;p&gt;The structure in OpenAI&amp;rsquo;s docs can be simplified like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Role:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;What role you are playing and what context you are working in.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# Personality
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Tone, collaboration style, whether warmth or point of view is needed.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# Goal
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The user-visible target result.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# Success criteria
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Conditions that must be satisfied before the final answer.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# Constraints
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Safety, business, evidence, permission, cost, and side-effect boundaries.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# Output
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Output structure, length, tone, and required fields.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# Stop rules
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;When to continue, retry, degrade, ask, or stop.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The point of this skeleton is not that every prompt must use all these headings. The real idea is that prompts for complex tasks should tell the model the destination, boundaries, and deliverable, instead of hard-coding every step.&lt;/p&gt;
&lt;h2 id=&#34;a-practical-order-for-migrating-old-prompts&#34;&gt;A practical order for migrating old prompts
&lt;/h2&gt;&lt;p&gt;If you already have old prompts for GPT-4.1, GPT-4o, GPT-5.2, or GPT-5.4, do not rewrite everything at once.&lt;/p&gt;
&lt;p&gt;A steadier migration order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;First switch the model while keeping current reasoning effort and output parameters fixed.&lt;/li&gt;
&lt;li&gt;Run existing evals or real samples and identify behavior changes.&lt;/li&gt;
&lt;li&gt;Delete process rules that are clearly outdated, duplicated, or contradictory.&lt;/li&gt;
&lt;li&gt;Convert &amp;ldquo;step requirements&amp;rdquo; into &amp;ldquo;success criteria&amp;rdquo; and &amp;ldquo;stop conditions.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;Add retrieval budgets, citation rules, and behavior for missing evidence.&lt;/li&gt;
&lt;li&gt;Add validation loops for tool tasks.&lt;/li&gt;
&lt;li&gt;Tune &lt;code&gt;reasoning.effort&lt;/code&gt; and &lt;code&gt;text.verbosity&lt;/code&gt; last.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If you do not have evals, at least prepare a set of representative tasks: simple Q&amp;amp;A, complex retrieval, tool use, formatted output, refusal/degradation, and long-task completion. Do not judge prompt quality from a single demo case.&lt;/p&gt;
&lt;h2 id=&#34;a-checklist-for-migrating-old-prompts&#34;&gt;A checklist for migrating old prompts
&lt;/h2&gt;&lt;p&gt;When migrating an old prompt, start with this checklist. The goal is not simply to make the prompt shorter, but to delete ineffective constraints and rewrite important constraints into verifiable form.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Check item&lt;/th&gt;
          &lt;th&gt;Common problem&lt;/th&gt;
          &lt;th&gt;Suggested handling&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Repeated rules&lt;/td&gt;
          &lt;td&gt;The same instruction appears in multiple sections, sometimes with inconsistent wording&lt;/td&gt;
          &lt;td&gt;Merge into one clear rule and keep only the final version&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Absolute words&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;ALWAYS&lt;/code&gt;, &lt;code&gt;NEVER&lt;/code&gt;, &lt;code&gt;must&lt;/code&gt;, and &lt;code&gt;only&lt;/code&gt; appear everywhere&lt;/td&gt;
          &lt;td&gt;Reserve absolute constraints for safety, compliance, permissions, and required fields&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;No stop condition&lt;/td&gt;
          &lt;td&gt;The model is told to keep searching, analyzing, or fixing without a stopping rule&lt;/td&gt;
          &lt;td&gt;Add stop rules such as evidence sufficiency, validation success, turn limits, or cost limits&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;No validation command&lt;/td&gt;
          &lt;td&gt;The prompt says &amp;ldquo;ensure correctness&amp;rdquo; but gives no tests, lint, citations, or checks&lt;/td&gt;
          &lt;td&gt;Replace with concrete checks: tests, type checks, build, citations, or smoke tests&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Too much process&lt;/td&gt;
          &lt;td&gt;Every step is hard-coded, leaving no room for better paths&lt;/td&gt;
          &lt;td&gt;Rewrite as goals, success criteria, boundaries, and output requirements&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Old model patches&lt;/td&gt;
          &lt;td&gt;Rules written for older model weaknesses are still present&lt;/td&gt;
          &lt;td&gt;Remove first, then use evals to decide whether they are still needed&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Vague tool rules&lt;/td&gt;
          &lt;td&gt;The prompt only says &amp;ldquo;use tools when needed&amp;rdquo;&lt;/td&gt;
          &lt;td&gt;Define when to call tools, when to stop, and how to degrade on failure&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Output drift&lt;/td&gt;
          &lt;td&gt;There is a format requirement but no field-completeness rule&lt;/td&gt;
          &lt;td&gt;Define required fields, optional fields, and missing-evidence behavior&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;If you can only do one thing, prioritize &amp;ldquo;no stop condition&amp;rdquo; and &amp;ldquo;no validation command.&amp;rdquo; These two issues are the easiest way to turn GPT-5.5 into an infinite tool loop, or into a model that gives a polished answer without verification.&lt;/p&gt;
&lt;h2 id=&#34;gpt-55-prompt-examples-old-vs-new&#34;&gt;GPT-5.5 prompt examples: old vs new
&lt;/h2&gt;&lt;p&gt;These are not full system prompts. They are common local rewrites during migration.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Example 1: retrieval Q&amp;amp;A&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Old:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Before answering, you must search at least 3 times. You must read all relevant results. You must provide a complete explanation.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;New:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Start with one search that covers the core question. If the first few results already support the key facts, stop searching and answer. If results conflict or key facts are missing, add another search. In the final answer, explain the basis; when evidence is insufficient, say so clearly.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The new version changes &amp;ldquo;number of searches&amp;rdquo; into &amp;ldquo;whether evidence is sufficient.&amp;rdquo; It gives the model a reason to continue and a reason to stop.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Example 2: code changes&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Old:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Carefully modify the code. Do not break existing logic. Tell me what changed when finished.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;New:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Make the smallest necessary code change requested by the user. Success criteria:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Only modify files related to the task
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Preserve existing public API compatibility unless the user explicitly asks for a change
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Run relevant unit tests after the change; if they cannot run, explain why and the next best validation method
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Final summary includes changes, validation result, and remaining risks
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The new version does not vaguely ask the model to be careful. It grounds caution in file scope, API compatibility, test commands, and risk reporting.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Example 3: structured output&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Old:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Output JSON. Do not output extra content. Make fields complete.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;New:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Output strict JSON without Markdown. Required fields:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- status: &amp;#34;ok&amp;#34; | &amp;#34;needs_more_info&amp;#34; | &amp;#34;blocked&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- answer: string
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- evidence: string[]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- missing_info: string[]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;If evidence is insufficient, use status &amp;#34;needs_more_info&amp;#34; and do not invent evidence.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The new version does not only require JSON. It also defines a valid path when evidence is missing, so the model does not have to invent information to satisfy &amp;ldquo;complete fields.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;how-to-configure-the-parameters&#34;&gt;How to configure the parameters
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;reasoning.effort&lt;/code&gt; and &lt;code&gt;text.verbosity&lt;/code&gt; should not be viewed in isolation. The former controls how much reasoning the model invests; the latter controls how detailed the output is. A common mistake is to raise &lt;code&gt;reasoning.effort&lt;/code&gt; whenever quality is not enough, or to write harsher prompts whenever output is too long. A better approach is to configure them by task type.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Scenario&lt;/th&gt;
          &lt;th&gt;reasoning.effort&lt;/th&gt;
          &lt;th&gt;text.verbosity&lt;/th&gt;
          &lt;th&gt;Notes&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Field extraction, classification, short format conversion&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;none&lt;/code&gt; or &lt;code&gt;low&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;low&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Optimize for low latency; the output schema matters most&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Support routing, simple tool routing&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;low&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;low&lt;/code&gt; or &lt;code&gt;medium&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Clear rules usually do not need high reasoning&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Ordinary Q&amp;amp;A, light retrieval summary&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;low&lt;/code&gt; or &lt;code&gt;medium&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;medium&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Needs some judgment, but high reasoning should not be the default&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Multi-document synthesis, conflict judgment&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;medium&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;medium&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;First ensure evidence rules and citations, then consider raising effort&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Complex code changes, long-task agents&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;medium&lt;/code&gt; or &lt;code&gt;high&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;User replies &lt;code&gt;low&lt;/code&gt;, code output should remain clear&lt;/td&gt;
          &lt;td&gt;Chat updates can be short; code and diff should be readable&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Strategy, planning, risk analysis&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;medium&lt;/code&gt; or &lt;code&gt;high&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;medium&lt;/code&gt; or &lt;code&gt;high&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Needs tradeoffs, risks, and assumptions&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;For most applications, start with &lt;code&gt;low&lt;/code&gt; or &lt;code&gt;medium&lt;/code&gt;. Raise &lt;code&gt;reasoning.effort&lt;/code&gt; only after the prompt already defines success criteria, stop conditions, and validation rules, and the model still misses important constraints.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;text.verbosity&lt;/code&gt; is not always better when lower. Low verbosity works well for status updates, short customer support replies, and operation summaries. For code, configuration, migration plans, or audit explanations, overly short output can make the result hard to review.&lt;/p&gt;
&lt;h2 id=&#34;which-rules-should-stay&#34;&gt;Which rules should stay
&lt;/h2&gt;&lt;p&gt;Migrating to GPT-5.5 does not mean deleting the old prompt entirely. The following rules should usually stay, and they should be made more explicit.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Safety rules&lt;/strong&gt;: actions that cannot be taken, content that cannot be generated, and cases that require refusal or degradation.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Compliance rules&lt;/strong&gt;: industry policies, regional restrictions, age limits, audit requirements, approval requirements.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Privacy rules&lt;/strong&gt;: personal data handling, sensitive data redaction, logging limits, data transfer limits.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Output fields&lt;/strong&gt;: API responses, JSON schemas, table fields, fixed structures required by frontend components.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Business boundaries&lt;/strong&gt;: refund rules, account permissions, service levels, contract scope, escalation conditions.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Tool permission boundaries&lt;/strong&gt;: which tools can be called, which require confirmation, and which are prohibited.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Citation and evidence rules&lt;/strong&gt;: when sources are required and how to handle conflicting evidence.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These are not old baggage. They are product contracts. The difference is that during migration, they should be rewritten from slogans into executable constraints.&lt;/p&gt;
&lt;p&gt;For example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Do not leak user privacy.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Can become:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Do not output full phone numbers, national ID numbers, access tokens, API keys, or internal user IDs in the final answer. When a reference is needed, show only a redacted version, such as keeping the last 4 digits of a phone number.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;what-should-not-be-accidentally-deleted&#34;&gt;What should not be accidentally deleted
&lt;/h2&gt;&lt;p&gt;The biggest danger when trimming prompts is not deleting fluff. It is deleting real system boundaries. The following content should not be removed lightly, even if it looks old.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Privacy and data handling requirements&lt;/strong&gt;: especially rules for logging, export, cross-system transfer, and third-party tool calls.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Safety and permission limits&lt;/strong&gt;: confirmation rules for deleting data, transferring money, sending email, changing permissions, or running shell commands.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Citation format&lt;/strong&gt;: if the product depends on citations, footnotes, source lists, or audit chains, do not delete them just because they take space.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Tool call boundaries&lt;/strong&gt;: which tools are read-only, which are write-capable, and which require user confirmation.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Failure behavior&lt;/strong&gt;: how to degrade when APIs time out, data is missing, retrieval fails, or permissions are insufficient.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Hard business rules&lt;/strong&gt;: pricing, refunds, bans, risk controls, and compliance review rules that the model should not improvise.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A simple rule of thumb: if deleting a rule only changes output style, consider deleting it. If deleting it could cause privilege overreach, data leakage, incorrect actions, false promises, or broken audit trails, keep it and rewrite it more precisely.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The core of the GPT-5.5 prompting guide is not &amp;ldquo;write more advanced prompts.&amp;rdquo; It is to remove over-specified process instructions from old prompts.&lt;/p&gt;
&lt;p&gt;A prompt better suited for GPT-5.5 should:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Prioritize goals, not steps.&lt;/li&gt;
&lt;li&gt;Define success criteria, not just ask the model to &amp;ldquo;do well.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;Include stop conditions, instead of infinite search or infinite tool loops.&lt;/li&gt;
&lt;li&gt;Include an evidence budget, instead of answering without evidence or searching forever.&lt;/li&gt;
&lt;li&gt;Include validation rules, instead of relying on the model&amp;rsquo;s self-discipline.&lt;/li&gt;
&lt;li&gt;Tune parameters later, instead of immediately raising reasoning effort.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If your old system prompt is already long, the first step in migrating to GPT-5.5 may not be adding content, but deleting content. Keep the truly non-negotiable rules, and turn process details into outcomes, boundaries, and checks. That is usually more effective than continuing to pile on prompts.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;OpenAI Prompt guidance: &lt;a class=&#34;link&#34; href=&#34;https://developers.openai.com/api/docs/guides/prompt-guidance&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://developers.openai.com/api/docs/guides/prompt-guidance&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;OpenAI Using GPT-5.5: &lt;a class=&#34;link&#34; href=&#34;https://developers.openai.com/api/docs/guides/latest-model&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://developers.openai.com/api/docs/guides/latest-model&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Connecting Claude to Fusion 360: An Example of Editing STEP Models With AI</title>
        <link>https://knightli.com/en/2026/05/14/claude-fusion-360-mcp-step-model-edit/</link>
        <pubDate>Thu, 14 May 2026 20:58:04 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/14/claude-fusion-360-mcp-step-model-edit/</guid>
        <description>&lt;p&gt;After Claude is connected to Fusion 360, it can do more than &amp;ldquo;talk through ideas&amp;rdquo;. It can directly participate in CAD model editing. A typical workflow is to open an existing STEP file, let Claude read the current model, analyze structural conflicts, plan dimensions, and then execute modeling changes through the Fusion plugin.&lt;/p&gt;
&lt;p&gt;The following uses a planetary gear indexer modification as an example to summarize the basic Claude + Fusion 360 workflow.&lt;/p&gt;
&lt;h2 id=&#34;enable-fusion-360s-apimcp-service-first&#34;&gt;Enable Fusion 360&amp;rsquo;s API/MCP Service First
&lt;/h2&gt;&lt;p&gt;Start with a basic Fusion 360 setup:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open &lt;code&gt;Preferences&lt;/code&gt; in the upper-right corner.&lt;/li&gt;
&lt;li&gt;Go to &lt;code&gt;General&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Find the &lt;code&gt;API&lt;/code&gt; option.&lt;/li&gt;
&lt;li&gt;Enable the MCP server.&lt;/li&gt;
&lt;li&gt;Note the port number. The default example is &lt;code&gt;27182&lt;/code&gt;.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Then return to Claude, go to &lt;code&gt;Connectors&lt;/code&gt;, find the Fusion connector, and enter the Fusion 360 address and port. In most cases, the default port &lt;code&gt;27182&lt;/code&gt; is enough.&lt;/p&gt;
&lt;p&gt;After the connection succeeds, Claude can interact with the currently opened model through the Fusion plugin.&lt;/p&gt;
&lt;h2 id=&#34;open-the-step-file-and-define-the-goal-clearly&#34;&gt;Open the STEP File and Define the Goal Clearly
&lt;/h2&gt;&lt;p&gt;The part to modify is a gear inside a planetary gear indexer. In the original design, the gear is fixed to the bracket with a screw acting as the central shaft.&lt;/p&gt;
&lt;p&gt;The goal is to convert it into a bearing-based structure:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;the center hole needs to fit a bearing;&lt;/li&gt;
&lt;li&gt;surrounding screw holes must not interfere with the enlarged center hole;&lt;/li&gt;
&lt;li&gt;the self-tapping screw hole on the bracket should also be adjusted into a shaft structure suitable for bearing rotation;&lt;/li&gt;
&lt;li&gt;the final model should be importable into slicer software and usable for 3D printing.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The key is not to simply tell Claude &amp;ldquo;modify this for me&amp;rdquo;. You need to clearly state the use case, assembly method, material, and manufacturing process.&lt;/p&gt;
&lt;h2 id=&#34;claude-can-understand-the-current-model-through-screenshots&#34;&gt;Claude Can Understand the Current Model Through Screenshots
&lt;/h2&gt;&lt;p&gt;Some people worry that the Fusion plugin can only execute commands and cannot let Claude see the model. In actual testing, Claude can recognize the current model state through screenshots.&lt;/p&gt;
&lt;p&gt;In this case, Claude could see the gear structure and complete several tasks:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;identify the gear and center hole;&lt;/li&gt;
&lt;li&gt;measure or estimate related dimensions;&lt;/li&gt;
&lt;li&gt;recommend bearing dimensions;&lt;/li&gt;
&lt;li&gt;judge which structures would affect bearing installation;&lt;/li&gt;
&lt;li&gt;notice that after enlarging the center hole, surrounding screw holes might create geometric interference.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This step matters. It shows that Claude is not blindly editing from text instructions. It can combine the current model view with structural reasoning.&lt;/p&gt;
&lt;h2 id=&#34;specify-material-and-manufacturing-method-in-advance&#34;&gt;Specify Material and Manufacturing Method in Advance
&lt;/h2&gt;&lt;p&gt;If the model will be used for 3D printing, you must clearly tell Claude the material and process.&lt;/p&gt;
&lt;p&gt;For example, when printing with PLA, the bearing hole should not be designed strictly according to CNC metal machining tolerances. For a 6mm bearing that needs a press fit, a hole diameter around &lt;code&gt;6.1mm&lt;/code&gt; may be considered. Whether that size is appropriate still depends on printer accuracy, material shrinkage, slicer settings, and real testing.&lt;/p&gt;
&lt;p&gt;If you do not specify the material, Claude may default to CNC-style tolerances. The resulting hole size may be too small for 3D printing, making assembly difficult.&lt;/p&gt;
&lt;p&gt;A useful prompt might be:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;This model is for FDM 3D printing, using PLA.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The goal is to install a 6mm bearing, so printing tolerance and press fit should be considered.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Do not handle it as CNC metal machining tolerance.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;let-claude-modify-the-gear-structure&#34;&gt;Let Claude Modify the Gear Structure
&lt;/h2&gt;&lt;p&gt;After the goal is clear, Claude can perform specific modifications:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;enlarge the center hole;&lt;/li&gt;
&lt;li&gt;adjust surrounding screw holes that interfere;&lt;/li&gt;
&lt;li&gt;add a bearing seat;&lt;/li&gt;
&lt;li&gt;add chamfers to edges;&lt;/li&gt;
&lt;li&gt;keep the gear body and key meshing structure unchanged.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In this case, Claude first produced a plan and then called Fusion 360 to perform modeling operations. For example, after detecting a conflict between the original screw holes and the center hole, it moved the holes slightly outward to protect the bearing installation space.&lt;/p&gt;
&lt;p&gt;After modification, check the model:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;whether the central bearing seat is formed correctly;&lt;/li&gt;
&lt;li&gt;whether surrounding holes still preserve their function;&lt;/li&gt;
&lt;li&gt;whether the gear structure was accidentally damaged;&lt;/li&gt;
&lt;li&gt;whether chamfers affect assembly;&lt;/li&gt;
&lt;li&gt;whether there are overhangs, thin walls, or slicing risks.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;the-bracket-must-be-modified-too&#34;&gt;The Bracket Must Be Modified Too
&lt;/h2&gt;&lt;p&gt;Changing only the gear is not enough. The original bracket had a self-tapping screw hole. If the gear center is converted to a bearing, the bracket must also be changed into a bearing shaft structure.&lt;/p&gt;
&lt;p&gt;You can ask Claude to perform a similar modification on the bracket:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;preserve the overall mounting position;&lt;/li&gt;
&lt;li&gt;convert the original self-tapping screw hole into a cylindrical shaft;&lt;/li&gt;
&lt;li&gt;control shaft diameter and height;&lt;/li&gt;
&lt;li&gt;reserve space for bearing rotation;&lt;/li&gt;
&lt;li&gt;avoid interference with other bracket structures.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;After printing, the gear can be pressed into the bearing, and the bracket can provide the new rotation center. The final result changes a screw-fixed structure into a smoother bearing-rotating structure.&lt;/p&gt;
&lt;h2 id=&#34;export-slice-and-print-for-verification&#34;&gt;Export, Slice, and Print for Verification
&lt;/h2&gt;&lt;p&gt;After the CAD modification is done, the actual manufacturing process still matters:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Export the modified model from Fusion 360.&lt;/li&gt;
&lt;li&gt;Import it into slicer software.&lt;/li&gt;
&lt;li&gt;Check holes, thin walls, overhangs, and supports.&lt;/li&gt;
&lt;li&gt;Print the gear and bracket.&lt;/li&gt;
&lt;li&gt;Press the bearing into place.&lt;/li&gt;
&lt;li&gt;Check whether rotation is smooth.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;AI-edited CAD results cannot be judged only by whether the on-screen model looks good. They must be verified through printing. For mechanical structures such as bearings, holes, clips, and gears, an error at the 0.1mm level can decide whether the part fits and rotates smoothly.&lt;/p&gt;
&lt;h2 id=&#34;usage-suggestions&#34;&gt;Usage Suggestions
&lt;/h2&gt;&lt;p&gt;Claude + Fusion 360 is well suited for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;making local modifications to existing STEP models;&lt;/li&gt;
&lt;li&gt;adjusting holes, chamfers, brackets, and mounting seats;&lt;/li&gt;
&lt;li&gt;converting screw-fixed structures into bearing, snap-fit, or pin structures;&lt;/li&gt;
&lt;li&gt;correcting tolerances for 3D printed models;&lt;/li&gt;
&lt;li&gt;quickly generating multiple revised versions.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;But it is not suitable for directly producing final parts without inspection. A more reliable workflow is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Define the assembly goal and material process yourself.&lt;/li&gt;
&lt;li&gt;Let Claude analyze the structure and propose modifications.&lt;/li&gt;
&lt;li&gt;Let Claude call Fusion to execute modeling.&lt;/li&gt;
&lt;li&gt;Manually check key dimensions and interference.&lt;/li&gt;
&lt;li&gt;Print a small test sample.&lt;/li&gt;
&lt;li&gt;Iterate based on the physical result.&lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The value of connecting Claude to Fusion 360 is not replacing CAD fundamentals. It is making local edits to existing models much faster.&lt;/p&gt;
&lt;p&gt;As long as you clearly specify the goal, material, dimensions, tolerance, and assembly method, it can help read the model, find interference, modify structures, add chamfers, and push the model toward a printable state. For 3D printing, open-source mechanical part modification, and small-batch iteration in personal workshops, this AI CAD workflow is already practical.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>How Can Codex Use Chinese LLMs? Managing OpenAI-Compatible APIs with CCX</title>
        <link>https://knightli.com/en/2026/05/13/ccx-ai-api-proxy-gateway/</link>
        <pubDate>Wed, 13 May 2026 23:20:40 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/13/ccx-ai-api-proxy-gateway/</guid>
        <description>&lt;p&gt;CCX is an AI API proxy and protocol-conversion gateway. It puts Claude Messages, OpenAI Chat Completions, OpenAI Images, Codex Responses, and Gemini API behind one service entry point, while also providing a web management UI for configuring channels, keys, model mappings, priorities, failover, and traffic monitoring.&lt;/p&gt;
&lt;p&gt;If you use Claude, OpenAI, Gemini, and Codex at the same time, or maintain multiple upstream services compatible with OpenAI API, CCX is valuable because it gives you one entry point and one management layer. Clients connect to a single service address; CCX decides which upstream channel should handle each request.&lt;/p&gt;
&lt;p&gt;Project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/BenedictKing/ccx&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/BenedictKing/ccx&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;what-problem-does-ccx-solve&#34;&gt;What problem does CCX solve?
&lt;/h2&gt;&lt;p&gt;When multiple AI APIs are used together, several problems appear quickly:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Each provider has different paths, authentication, and request formats.&lt;/li&gt;
&lt;li&gt;One class of models may have multiple upstreams, requiring manual switching of base URL and API key.&lt;/li&gt;
&lt;li&gt;When a key or channel fails, the client usually does not automatically switch to a backup channel.&lt;/li&gt;
&lt;li&gt;In team use, it is hard to centrally manage model allowlists, proxies, custom headers, and request logs.&lt;/li&gt;
&lt;li&gt;When Claude, Gemini, OpenAI Chat, image APIs, and Codex Responses all need to coexist, configuration becomes scattered.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;CCX&amp;rsquo;s approach is to consolidate these differences into a proxy layer. Frontend tools, scripts, or business services call CCX; CCX then routes the request to a suitable upstream based on API type, model, channel status, priority, and health.&lt;/p&gt;
&lt;h2 id=&#34;supported-endpoints&#34;&gt;Supported endpoints
&lt;/h2&gt;&lt;p&gt;CCX exposes one backend entry point. The default port is &lt;code&gt;3000&lt;/code&gt;. Main paths include:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GET  /                         -&amp;gt; Web management UI
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GET  /health                   -&amp;gt; Health check
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/api/*                         -&amp;gt; Management API
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/messages              -&amp;gt; Claude Messages proxy
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/chat/completions      -&amp;gt; OpenAI Chat proxy
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/responses             -&amp;gt; Codex Responses proxy
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/images/generations    -&amp;gt; OpenAI Images generation
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/images/edits          -&amp;gt; OpenAI Images editing
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/images/variations     -&amp;gt; OpenAI Images variations
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GET  /v1/models                -&amp;gt; Model list
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1beta/models/*          -&amp;gt; Gemini proxy
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;In other words, CCX does not proxy only one protocol. It manages common AI APIs as separate channel types: Messages, Chat, Responses, Gemini, and Images. Different protocols do not share the same health state or log space, which matters when troubleshooting.&lt;/p&gt;
&lt;h2 id=&#34;architecture-overview&#34;&gt;Architecture overview
&lt;/h2&gt;&lt;p&gt;CCX uses a Go backend and Vue 3 frontend. The frontend build is embedded into the backend binary, so it can be deployed on a single port: the same service provides the Web UI, management API, and proxy API.&lt;/p&gt;
&lt;p&gt;A request roughly follows this path:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Client -&amp;gt; Auth Middleware -&amp;gt; Route Handler -&amp;gt; Channel Scheduler -&amp;gt; Provider / Converter -&amp;gt; Upstream API -&amp;gt; Metrics / Channel Logs -&amp;gt; Client Response
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The main modules can be understood as follows:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;handlers&lt;/code&gt;: receive requests for different protocols and management operations.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;providers&lt;/code&gt;: wrap upstream API request and response handling.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;converters&lt;/code&gt;: handle protocol conversion for scenarios such as Responses.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;scheduler&lt;/code&gt;: choose channels based on priority, promotion period, health state, circuit breaker state, and trace affinity.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;metrics&lt;/code&gt;: record request counts, success rate, latency, logs, and circuit breaker state.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;config&lt;/code&gt;: maintain runtime configuration, with hot reload and backup support.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The design is not about forcing every API into one format. It proxies each protocol type separately, while unifying management, scheduling, logging, and authentication.&lt;/p&gt;
&lt;h2 id=&#34;ccx-vs-codexbridge&#34;&gt;CCX vs CodexBridge
&lt;/h2&gt;&lt;p&gt;CCX and CodexBridge are both related to Codex and OpenAI-compatible APIs, but they solve different problems.&lt;/p&gt;
&lt;p&gt;CodexBridge is more like a dedicated Codex bridge. Its main goal is to wrap Codex CLI/SDK as an OpenAI-compatible &lt;code&gt;/v1/chat/completions&lt;/code&gt; service, so OpenWebUI, Cherry Studio, scripts, or other OpenAI-compatible clients can call local Codex. In short, CodexBridge focuses on exposing Codex.&lt;/p&gt;
&lt;p&gt;CCX is more like a unified AI API gateway. It does not only handle Codex Responses; it also supports Claude Messages, OpenAI Chat, OpenAI Images, and Gemini API, with a web management UI, channel priority, failover, log monitoring, and multi-key management. In short, CCX focuses on managing multiple models and providers together.&lt;/p&gt;
&lt;p&gt;Quick comparison:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Item&lt;/th&gt;
          &lt;th&gt;CodexBridge&lt;/th&gt;
          &lt;th&gt;CCX&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Core positioning&lt;/td&gt;
          &lt;td&gt;Local Codex bridge&lt;/td&gt;
          &lt;td&gt;Multi-protocol AI API gateway&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Main goal&lt;/td&gt;
          &lt;td&gt;Turn Codex into an OpenAI-compatible endpoint&lt;/td&gt;
          &lt;td&gt;Manage Claude, OpenAI, Gemini, Codex, and other channels together&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Management UI&lt;/td&gt;
          &lt;td&gt;Focuses on the API service itself&lt;/td&gt;
          &lt;td&gt;Provides a web management UI&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Multi-channel scheduling&lt;/td&gt;
          &lt;td&gt;Not the focus&lt;/td&gt;
          &lt;td&gt;Supports channel priority, failover, and log monitoring&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Best fit&lt;/td&gt;
          &lt;td&gt;Local or single-service Codex calls&lt;/td&gt;
          &lt;td&gt;Teams, multiple keys, multiple providers, multiple protocols&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;If you only want to connect Codex to OpenWebUI or Cherry Studio, CodexBridge is more direct. If you want to manage Codex, Claude, Gemini, DeepSeek, Qwen, Kimi, and other upstreams together, CCX is a better fit.&lt;/p&gt;
&lt;h2 id=&#34;quick-deployment&#34;&gt;Quick deployment
&lt;/h2&gt;&lt;p&gt;The simplest way is to download the binary. After downloading it, create &lt;code&gt;.env&lt;/code&gt; in the same directory:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PROXY_ACCESS_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your-proxy-access-key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PORT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;3000&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ENABLE_WEB_UI&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;true&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;APP_UI_LANGUAGE&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;zh-CN
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After startup, open:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://localhost:3000
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If &lt;code&gt;localhost&lt;/code&gt; does not work from WSL, Docker, PowerShell, or another Windows environment, use the Windows host&amp;rsquo;s LAN IPv4 address instead, for example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://192.168.1.23:3000
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;By default, CCX listens on &lt;code&gt;:PORT&lt;/code&gt; for all network interfaces, so access control matters if it is exposed to a LAN.&lt;/p&gt;
&lt;h2 id=&#34;docker-deployment&#34;&gt;Docker deployment
&lt;/h2&gt;&lt;p&gt;Docker is suitable for long-running service deployment:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker run -d &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  --name ccx &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -p 3000:3000 &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -e &lt;span class=&#34;nv&#34;&gt;PROXY_ACCESS_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your-proxy-access-key &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -e &lt;span class=&#34;nv&#34;&gt;APP_UI_LANGUAGE&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;zh-CN &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -v &lt;span class=&#34;k&#34;&gt;$(&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;pwd&lt;/span&gt;&lt;span class=&#34;k&#34;&gt;)&lt;/span&gt;/.config:/app/.config &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  crpi-i19l8zl0ugidq97v.cn-hangzhou.personal.cr.aliyuncs.com/bene/ccx:latest
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If the repository already has &lt;code&gt;docker-compose.yml&lt;/code&gt;, you can also run:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose up -d
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For automatic updates, add the Watchtower configuration:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose -f docker-compose.yml -f docker-compose.watchtower.yml up -d
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After deployment, &lt;code&gt;.config&lt;/code&gt; stores runtime configuration and persistent data. Mount it to the host to avoid losing configuration when the container is recreated.&lt;/p&gt;
&lt;h2 id=&#34;running-from-source&#34;&gt;Running from source
&lt;/h2&gt;&lt;p&gt;For development or custom builds:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/BenedictKing/ccx
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; ccx
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cp backend-go/.env.example backend-go/.env
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;make run
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Common commands:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;make dev
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;make run
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;make build
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;make frontend-dev
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Frontend-only development:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; frontend
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bun install
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bun run dev
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Backend-only development:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; backend-go
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;make dev
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;key-environment-variables&#34;&gt;Key environment variables
&lt;/h2&gt;&lt;p&gt;Minimal usable configuration usually includes:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PORT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;3000&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ENV&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;production
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ENABLE_WEB_UI&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;true&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PROXY_ACCESS_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your-proxy-access-key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ADMIN_ACCESS_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your-admin-secret-key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;APP_UI_LANGUAGE&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;zh-CN
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;LOG_LEVEL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;info
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;REQUEST_TIMEOUT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;300000&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Notes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;PROXY_ACCESS_KEY&lt;/code&gt; is used for the proxy API and must be changed.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;ADMIN_ACCESS_KEY&lt;/code&gt; is used for the Web UI and &lt;code&gt;/api/*&lt;/code&gt;; it should be separate from the proxy key.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;ENABLE_WEB_UI&lt;/code&gt; controls whether the management UI is enabled.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;REQUEST_TIMEOUT&lt;/code&gt; controls request timeout; increase it for long-context or image tasks.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;LOG_LEVEL&lt;/code&gt; controls log verbosity; production usually uses &lt;code&gt;info&lt;/code&gt; or &lt;code&gt;warn&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;To limit request body size, check:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;MAX_REQUEST_BODY_SIZE_MB&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;50&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Image editing, base64 images, and multimodal requests can all increase request body size.&lt;/p&gt;
&lt;h2 id=&#34;channel-orchestration-and-failover&#34;&gt;Channel orchestration and failover
&lt;/h2&gt;&lt;p&gt;The CCX management UI can configure multiple channels, with options such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Upstream service type.&lt;/li&gt;
&lt;li&gt;API key or multi-key rotation.&lt;/li&gt;
&lt;li&gt;Proxy address.&lt;/li&gt;
&lt;li&gt;Custom request headers.&lt;/li&gt;
&lt;li&gt;Model allowlist.&lt;/li&gt;
&lt;li&gt;Route prefix.&lt;/li&gt;
&lt;li&gt;Priority.&lt;/li&gt;
&lt;li&gt;Health checks and circuit-breaker recovery.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Scheduling considers channel state, priority, promotion period, trace affinity, circuit-breaker state, and available keys. In simple terms:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Under normal conditions, higher-priority channels are used first.&lt;/li&gt;
&lt;li&gt;If one channel fails, CCX can fail over to a backup channel.&lt;/li&gt;
&lt;li&gt;Circuit breaking avoids repeatedly hitting an obviously unavailable upstream.&lt;/li&gt;
&lt;li&gt;Trace affinity tries to keep related sessions on suitable channels.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These features are useful when you have multiple keys, providers, or regional upstreams. For personal lightweight use, you can also configure only one channel and use CCX as a proxy layer with a Web UI.&lt;/p&gt;
&lt;h2 id=&#34;logs-and-monitoring&#34;&gt;Logs and monitoring
&lt;/h2&gt;&lt;p&gt;CCX provides channel metrics and request logs, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Request volume.&lt;/li&gt;
&lt;li&gt;Success rate.&lt;/li&gt;
&lt;li&gt;Failure rate.&lt;/li&gt;
&lt;li&gt;Average latency.&lt;/li&gt;
&lt;li&gt;Historical data by model.&lt;/li&gt;
&lt;li&gt;Channel status and circuit-breaker state.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For production, use relatively conservative logging:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ENV&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;production
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;LOG_LEVEL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;info
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ENABLE_REQUEST_LOGS&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;true&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ENABLE_RESPONSE_LOGS&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;false&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This keeps basic request information while avoiding full response content in logs. You can temporarily enable more detailed logs for troubleshooting, but restore the safer configuration afterward, especially in production.&lt;/p&gt;
&lt;h2 id=&#34;security-recommendations&#34;&gt;Security recommendations
&lt;/h2&gt;&lt;p&gt;CCX is a proxy gateway and stores upstream API keys, so deployment should not stop at &amp;ldquo;it runs.&amp;rdquo; At minimum:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Do not use a default or short &lt;code&gt;PROXY_ACCESS_KEY&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Set a separate &lt;code&gt;ADMIN_ACCESS_KEY&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Do not expose the Web UI directly to the public internet.&lt;/li&gt;
&lt;li&gt;If public access is required, place it behind a reverse proxy, VPN, access control, or SSO.&lt;/li&gt;
&lt;li&gt;Do not commit &lt;code&gt;.env&lt;/code&gt;, &lt;code&gt;.config&lt;/code&gt;, or log files to Git.&lt;/li&gt;
&lt;li&gt;Do not keep full request and response body logging enabled in production.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;You can generate random keys like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PROXY_ACCESS_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;k&#34;&gt;$(&lt;/span&gt;openssl rand -base64 32&lt;span class=&#34;k&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;ADMIN_ACCESS_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;k&#34;&gt;$(&lt;/span&gt;openssl rand -base64 32&lt;span class=&#34;k&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;who-should-use-it&#34;&gt;Who should use it?
&lt;/h2&gt;&lt;p&gt;CCX is better suited to these scenarios:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Maintaining Claude, OpenAI, Gemini, Codex, or image APIs at the same time.&lt;/li&gt;
&lt;li&gt;Having multiple API keys that need rotation, routing, and failover.&lt;/li&gt;
&lt;li&gt;Managing upstream channels through a Web UI instead of editing config files manually.&lt;/li&gt;
&lt;li&gt;Observing success rate, latency, and logs for each channel.&lt;/li&gt;
&lt;li&gt;Providing one unified AI API entry point for a team.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only call one model occasionally on your own machine, the official SDK or a single OpenAI-compatible proxy is simpler. CCX&amp;rsquo;s advantage is multi-channel, multi-protocol, unified operation.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;CCX is an AI API gateway, not a client for one specific model. It puts Claude Messages, OpenAI Chat, OpenAI Images, Codex Responses, and Gemini into one proxy layer, with channel orchestration, failover, logs, monitoring, and a Web management UI.&lt;/p&gt;
&lt;p&gt;For individuals, it reduces the trouble of switching API addresses and keys. For teams or long-running services, it is closer to a lightweight AI gateway. Before production use, the important work is not only configuring models, but also securing keys, the management entry point, logging levels, channel priority, and failover strategy.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;GitHub project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/BenedictKing/ccx&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/BenedictKing/ccx&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Architecture notes: &lt;a class=&#34;link&#34; href=&#34;https://github.com/BenedictKing/ccx/blob/main/ARCHITECTURE.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/BenedictKing/ccx/blob/main/ARCHITECTURE.md&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Environment variables: &lt;a class=&#34;link&#34; href=&#34;https://github.com/BenedictKing/ccx/blob/main/ENVIRONMENT.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/BenedictKing/ccx/blob/main/ENVIRONMENT.md&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>How Can Codex Use Chinese LLMs? OpenAI-Compatible APIs and the CodexBridge Approach</title>
        <link>https://knightli.com/en/2026/05/13/codexbridge-openai-compatible-api/</link>
        <pubDate>Wed, 13 May 2026 23:08:28 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/13/codexbridge-openai-compatible-api/</guid>
        <description>&lt;p&gt;CodexBridge is a local bridge for exposing Codex CLI/SDK as an OpenAI-compatible HTTP service. With it, Codex no longer has to live only in the terminal. OpenWebUI, Cherry Studio, scripts, automation systems, or any client that supports OpenAI Chat Completions can call it.&lt;/p&gt;
&lt;p&gt;The two core endpoints are &lt;code&gt;/v1/chat/completions&lt;/code&gt; and &lt;code&gt;/v1/models&lt;/code&gt;. The former handles conversations and supports both normal and SSE streaming responses. The latter lets clients discover models in the same way they read an OpenAI-style model list. For tools that already support OpenAI APIs, this usually means changing only the base URL, API key, and model name.&lt;/p&gt;
&lt;p&gt;Project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/begonia599/CodexBridge&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/begonia599/CodexBridge&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;what-it-is-useful-for&#34;&gt;What it is useful for
&lt;/h2&gt;&lt;p&gt;CodexBridge is useful when you want to plug Codex into existing AI clients or workflows. For example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Select Codex directly in OpenWebUI or Cherry Studio.&lt;/li&gt;
&lt;li&gt;Call local Codex from &lt;code&gt;curl&lt;/code&gt;, Python, Node.js, or other scripts.&lt;/li&gt;
&lt;li&gt;Let one frontend connect to OpenAI, Ollama, other compatible APIs, and Codex at the same time.&lt;/li&gt;
&lt;li&gt;Keep Codex&amp;rsquo;s local threads, sandbox, working directory, and approval behavior.&lt;/li&gt;
&lt;li&gt;Provide a unified &lt;code&gt;/v1/chat/completions&lt;/code&gt; endpoint for internal tools.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is not a new LLM, and it is not a full replacement for Codex CLI. More precisely, it is an adapter layer: Codex remains the upstream engine, while the bridge converts OpenAI-style requests into conversation input that Codex can handle.&lt;/p&gt;
&lt;h2 id=&#34;basic-requirements&#34;&gt;Basic requirements
&lt;/h2&gt;&lt;p&gt;You need:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Node.js 18 or later.&lt;/li&gt;
&lt;li&gt;Codex CLI installed and logged in.&lt;/li&gt;
&lt;li&gt;npm, or pnpm / yarn if you prefer.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Basic source deployment:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/begonia599/CodexBridge
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; codexbridge
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cp .env.example .env
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cp .env .env.local
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Then edit &lt;code&gt;.env&lt;/code&gt; or &lt;code&gt;.env.local&lt;/code&gt; to set the API key, default model, working directory, sandbox mode, network access, and related options.&lt;/p&gt;
&lt;p&gt;Start the HTTP service:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm run codex:server
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The default port is &lt;code&gt;8080&lt;/code&gt;, and it can be changed with &lt;code&gt;PORT&lt;/code&gt;. After startup, the service exposes:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GET /health
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;POST /v1/chat/completions
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GET /v1/models
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;cli-conversation-mode&#34;&gt;CLI conversation mode
&lt;/h2&gt;&lt;p&gt;Besides the HTTP service, CodexBridge also includes a lightweight CLI:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm run codex:chat
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You can type natural-language messages directly. Two useful commands are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;/reset&lt;/code&gt;: create a new Codex thread.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;/exit&lt;/code&gt;: exit the CLI.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The current thread ID is stored in &lt;code&gt;.codex_thread.json&lt;/code&gt;. If this file still exists the next time the CLI starts, the previous conversation can continue.&lt;/p&gt;
&lt;h2 id=&#34;http-example&#34;&gt;HTTP example
&lt;/h2&gt;&lt;p&gt;A minimal request looks like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;curl http://localhost:8080/v1/chat/completions &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -H &lt;span class=&#34;s2&#34;&gt;&amp;#34;content-type: application/json&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -H &lt;span class=&#34;s2&#34;&gt;&amp;#34;authorization: Bearer 123321&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -d &lt;span class=&#34;s1&#34;&gt;&amp;#39;{&amp;#34;model&amp;#34;:&amp;#34;gpt-5-codex:medium&amp;#34;,&amp;#34;session_id&amp;#34;:&amp;#34;demo&amp;#34;,&amp;#34;messages&amp;#34;:[{&amp;#34;role&amp;#34;:&amp;#34;user&amp;#34;,&amp;#34;content&amp;#34;:&amp;#34;ls&amp;#34;}]}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Key points:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The token in &lt;code&gt;authorization&lt;/code&gt; must match &lt;code&gt;CODEX_BRIDGE_API_KEY&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;model&lt;/code&gt; can include reasoning effort, such as &lt;code&gt;gpt-5-codex:medium&lt;/code&gt; or &lt;code&gt;gpt-5-codex:high&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;session_id&lt;/code&gt; binds the request to a conversation and allows reuse of the same Codex thread.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For streaming output, add &lt;code&gt;stream: true&lt;/code&gt;:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;curl -N http://localhost:8080/v1/chat/completions &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -H &lt;span class=&#34;s2&#34;&gt;&amp;#34;content-type: application/json&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -H &lt;span class=&#34;s2&#34;&gt;&amp;#34;authorization: Bearer 123321&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -d &lt;span class=&#34;s1&#34;&gt;&amp;#39;{&amp;#34;model&amp;#34;:&amp;#34;gpt-5-codex:high&amp;#34;,&amp;#34;session_id&amp;#34;:&amp;#34;stream&amp;#34;,&amp;#34;stream&amp;#34;:true,&amp;#34;messages&amp;#34;:[{&amp;#34;role&amp;#34;:&amp;#34;user&amp;#34;,&amp;#34;content&amp;#34;:&amp;#34;Explain step by step how to create a Node.js project&amp;#34;}]}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For clients that support OpenAI streaming responses, this feels much closer to a normal chat experience.&lt;/p&gt;
&lt;h2 id=&#34;how-sessions-are-persisted&#34;&gt;How sessions are persisted
&lt;/h2&gt;&lt;p&gt;Session mapping is one of CodexBridge&amp;rsquo;s important features. A request can pass a session ID through these fields:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;session_id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;conversation_id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;thread_id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;user&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It can also be passed through request headers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;x-session-id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;session-id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;x-conversation-id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;x-thread-id&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;x-user-id&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For production use, enable:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_REQUIRE_SESSION_ID&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;true&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This requires every request to include a session ID, preventing different users or chat windows from being mixed into the same temporary context. The bridge-side mapping is saved in &lt;code&gt;.codex_threads.json&lt;/code&gt;. Deleting this file resets the bridge mapping, while Codex&amp;rsquo;s own threads remain under &lt;code&gt;~/.codex/sessions&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;If &lt;code&gt;CODEX_REQUIRE_SESSION_ID=false&lt;/code&gt; and the request provides no session ID, the bridge expands the current &lt;code&gt;messages&lt;/code&gt; into one-off input for Codex. This is fine for temporary calls, but not for long-running conversations.&lt;/p&gt;
&lt;h2 id=&#34;multimodal-input&#34;&gt;Multimodal input
&lt;/h2&gt;&lt;p&gt;CodexBridge supports OpenAI-style content blocks and converts images into Codex-compatible &lt;code&gt;local_image&lt;/code&gt; input.&lt;/p&gt;
&lt;p&gt;Remote images can be written as:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;image_url&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;image_url&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nt&#34;&gt;&amp;#34;url&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;https://example.com/demo.png&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Local images can be written as:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;local_image&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;path&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;./images/demo.png&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Remote resources are downloaded into a temporary directory and cleaned up after the turn. In real use, watch the request body size, especially when sending base64 images. You may need to increase &lt;code&gt;CODEX_JSON_LIMIT&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;structured-output&#34;&gt;Structured output
&lt;/h2&gt;&lt;p&gt;If the client supports &lt;code&gt;response_format&lt;/code&gt;, CodexBridge can map it to Codex&amp;rsquo;s &lt;code&gt;outputSchema&lt;/code&gt;. This is useful when you want Codex to return a fixed JSON structure, such as a check result, summary, classification result, or automation report.&lt;/p&gt;
&lt;p&gt;A minimal example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;model&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;gpt-5-codex&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;session_id&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;lint&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;response_format&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;json_schema&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nt&#34;&gt;&amp;#34;json_schema&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;name&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;lint_report&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;schema&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;object&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;nt&#34;&gt;&amp;#34;properties&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &lt;span class=&#34;nt&#34;&gt;&amp;#34;summary&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt; &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;string&amp;#34;&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;},&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &lt;span class=&#34;nt&#34;&gt;&amp;#34;status&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;            &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;string&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;            &lt;span class=&#34;nt&#34;&gt;&amp;#34;enum&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;[&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;ok&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;action_required&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;]&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;p&#34;&gt;},&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;nt&#34;&gt;&amp;#34;required&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;[&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;summary&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;status&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;],&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;nt&#34;&gt;&amp;#34;additionalProperties&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;kc&#34;&gt;false&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;},&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;messages&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;[&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;role&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;user&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;content&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;Check lint issues under src/ and return the result as JSON&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;]&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;type: &amp;quot;json_schema&amp;quot;&lt;/code&gt; must include a &lt;code&gt;schema&lt;/code&gt;, otherwise the service returns 400.&lt;/p&gt;
&lt;h2 id=&#34;key-environment-variables&#34;&gt;Key environment variables
&lt;/h2&gt;&lt;p&gt;Common configuration can be grouped as follows.&lt;/p&gt;
&lt;p&gt;Service and authentication:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PORT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;8080&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_BRIDGE_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;123321&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_JSON_LIMIT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;10mb
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Default model:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_MODEL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;gpt-5-codex
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_REASONING&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;medium
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Codex runtime:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_WORKDIR&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_SANDBOX_MODE&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;read-only
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_APPROVAL_POLICY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;never
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_SKIP_GIT_CHECK&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;true&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Network access:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_NETWORK_ACCESS&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;false&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_WEB_SEARCH&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;false&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If the service is only used for frontend chat, keeping network access off by default is safer. Enable these switches only when Codex clearly needs to run &lt;code&gt;curl&lt;/code&gt;, &lt;code&gt;git clone&lt;/code&gt;, or web search.&lt;/p&gt;
&lt;h2 id=&#34;docker-and-one-line-scripts&#34;&gt;Docker and one-line scripts
&lt;/h2&gt;&lt;p&gt;The project also provides Docker deployment for long-running service use:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose up -d
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker compose logs -f codexbridge
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;It also provides a Linux install script:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;curl -fsSL https://raw.githubusercontent.com/begonia599/CodexBridge/master/scripts/install.sh &lt;span class=&#34;p&#34;&gt;|&lt;/span&gt; bash
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The script installs dependencies, clones or updates the repository, copies &lt;code&gt;.env.example&lt;/code&gt;, and starts the service with Docker Compose. It requires &lt;code&gt;sudo&lt;/code&gt;, so it is best suited to a clean server. If the machine already has a complex Node.js, Docker, or Codex setup, read the script before running it.&lt;/p&gt;
&lt;h2 id=&#34;common-issues&#34;&gt;Common issues
&lt;/h2&gt;&lt;p&gt;&lt;strong&gt;Request returns 413&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The request body is usually too large, often because of base64 images. Increase:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_JSON_LIMIT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;20mb
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;strong&gt;API key is rejected&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Check that the request header includes:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Authorization: Bearer &amp;lt;your CODEX_BRIDGE_API_KEY&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;or use &lt;code&gt;x-api-key&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Codex reports a Git repository restriction&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;If the working directory is not a trusted repository, Codex may trigger a check. Use this only in an environment you trust:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-env&#34; data-lang=&#34;env&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;CODEX_SKIP_GIT_CHECK&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;nb&#34;&gt;true&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;strong&gt;Reset conversations&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The bridge mapping lives in &lt;code&gt;.codex_threads.json&lt;/code&gt;, while Codex&amp;rsquo;s own threads live in &lt;code&gt;~/.codex/sessions&lt;/code&gt;. Stop the service and delete the corresponding files or directories to reset them.&lt;/p&gt;
&lt;h2 id=&#34;recommendations&#34;&gt;Recommendations
&lt;/h2&gt;&lt;p&gt;For local testing, start with the default API key and the &lt;code&gt;read-only&lt;/code&gt; sandbox. After OpenWebUI, Cherry Studio, or scripts can call the service normally, gradually adjust &lt;code&gt;CODEX_WORKDIR&lt;/code&gt;, &lt;code&gt;CODEX_SANDBOX_MODE&lt;/code&gt;, &lt;code&gt;CODEX_NETWORK_ACCESS&lt;/code&gt;, and &lt;code&gt;CODEX_APPROVAL_POLICY&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;For multi-user use, do at least three things:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Require &lt;code&gt;session_id&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Change the default API key.&lt;/li&gt;
&lt;li&gt;Clearly limit the working directory and sandbox permissions.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;CodexBridge is valuable not because it is complex, but because it places Codex inside the existing OpenAI-compatible ecosystem. If a client can change its base URL, it can treat Codex like a normal chat model while still retaining Codex&amp;rsquo;s local threads, sandbox, and tool behavior.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Can Sulphur 2 Run on 8GB VRAM? Notes on Local Deployment of an LTX 2.3 Video Model</title>
        <link>https://knightli.com/en/2026/05/12/sulphur-2-ltx-2-3-video-generation/</link>
        <pubDate>Tue, 12 May 2026 22:12:45 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/12/sulphur-2-ltx-2-3-video-generation/</guid>
        <description>&lt;p&gt;SulphurAI has released &lt;code&gt;Sulphur-2-base&lt;/code&gt; on Hugging Face. According to the model card, Sulphur 2 is a video generation model based on LTX 2.3. It is positioned as an uncensored video generation model, natively supports text-to-video and image-to-video, and is compatible with other LTX 2.3 formats.&lt;/p&gt;
&lt;p&gt;Model page: &lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/SulphurAI/Sulphur-2-base&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://huggingface.co/SulphurAI/Sulphur-2-base&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;what-is-sulphur-2&#34;&gt;What Is Sulphur 2?
&lt;/h2&gt;&lt;p&gt;Sulphur 2 is not a general-purpose chat model. It is centered on video generation workflows and provides model weights plus related tools. The key points from the model card are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Based on LTX 2.3.&lt;/li&gt;
&lt;li&gt;Supports text-to-video and image-to-video.&lt;/li&gt;
&lt;li&gt;Provides a prompt enhancer for improving prompts.&lt;/li&gt;
&lt;li&gt;The Hugging Face page exposes entry points for Diffusers, llama.cpp, Ollama, LM Studio, Jan, and more.&lt;/li&gt;
&lt;li&gt;The model files include GGUF-related assets, making them easier to load with some local tools.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In other words, it is aimed more at video generation enthusiasts and workflow builders than at ordinary users looking for a one-click web product.&lt;/p&gt;
&lt;h2 id=&#34;the-relationship-between-sulphur-2-and-ltx-23&#34;&gt;The Relationship Between Sulphur 2 and LTX 2.3
&lt;/h2&gt;&lt;p&gt;To understand Sulphur 2, it is best to place it inside the LTX 2.3 ecosystem.&lt;/p&gt;
&lt;p&gt;LTX 2.3 is the underlying video generation model line. It determines the supported input types, model components, and workflow structure. Sulphur 2 is a variant released on top of that foundation, focusing on text-to-video, image-to-video, and related workflows.&lt;/p&gt;
&lt;p&gt;So Sulphur 2 is not a completely independent new tool, nor is it a regular chat model. It is closer to a model package in the LTX 2.3 ecosystem: you still need to choose the right frontend, nodes, weight version, and parameters before you can actually generate video.&lt;/p&gt;
&lt;p&gt;That also explains why it has a higher barrier than web-based generation tools. Web tools hide models, parameters, VRAM scheduling, and retries on the backend; local deployment means you have to handle those details yourself.&lt;/p&gt;
&lt;h2 id=&#34;why-it-is-worth-watching&#34;&gt;Why It Is Worth Watching
&lt;/h2&gt;&lt;p&gt;The LTX family is already known for efficient video generation. Since Sulphur 2 is based on LTX 2.3, it naturally fits existing LTX workflows. For ComfyUI, Diffusers, or local inference users, the value is mainly in controllability and the ability to modify workflows.&lt;/p&gt;
&lt;p&gt;Another point is the prompt enhancer. Video generation is highly sensitive to prompts. The same subject, camera movement, action, style, and quality description can produce very different results depending on wording. By including a prompt enhancer, Sulphur 2 is clearly trying to help users turn ordinary descriptions into prompts that the model can handle more reliably.&lt;/p&gt;
&lt;h2 id=&#34;suggestions-from-the-model-card&#34;&gt;Suggestions From the Model Card
&lt;/h2&gt;&lt;p&gt;The official model card recommends starting with the dev version, such as &lt;code&gt;fp8mixed&lt;/code&gt; or &lt;code&gt;bf16&lt;/code&gt;, and using the provided distill lora. It also warns that if you use the LoRA, you should not load the duplicate full-model components at the same time, otherwise the workflow may stack the same capability twice.&lt;/p&gt;
&lt;p&gt;The prompt enhancer is closer to a local tooling workflow. The model card says you can create a &lt;code&gt;Sulphur/promptenhancer&lt;/code&gt; directory inside LM Studio&amp;rsquo;s model folder, put the &lt;code&gt;gguf&lt;/code&gt; and &lt;code&gt;mmproj&lt;/code&gt; files there, and load the enhancer. It does not require a system prompt; you send the text you want to enhance directly, and images can also be attached.&lt;/p&gt;
&lt;h2 id=&#34;local-runtime-entry-points&#34;&gt;Local Runtime Entry Points
&lt;/h2&gt;&lt;p&gt;The Hugging Face page lists several common local entry points. With &lt;code&gt;llama.cpp&lt;/code&gt;, for example, you can start a local server from the model repository:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;llama-server -hf SulphurAI/Sulphur-2-base:BF16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You can also run it from the terminal:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;llama-cli -hf SulphurAI/Sulphur-2-base:BF16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For Ollama, the entry point is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ollama run hf.co/SulphurAI/Sulphur-2-base:BF16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;These commands are closer to automatically generated Hugging Face loading examples. Whether they run smoothly depends on your VRAM, model file version, quantization format, and tool compatibility. Video generation models are usually much heavier than text-only models, so for the first attempt it is better to follow the model card&amp;rsquo;s recommended version and workflow instead of mixing weights from different sources.&lt;/p&gt;
&lt;h2 id=&#34;choosing-a-test-environment-comfyui-diffusers-or-gguf&#34;&gt;Choosing a Test Environment: ComfyUI, Diffusers, or GGUF
&lt;/h2&gt;&lt;p&gt;If you only want to see results quickly, first look for a community ComfyUI workflow. ComfyUI is visual, so models, LoRA, samplers, resolution, frame count, and post-processing nodes can all be laid out in one graph. That makes it useful for debugging video generation.&lt;/p&gt;
&lt;p&gt;If you are more comfortable with Python, or if you want to connect Sulphur 2 to your own scripts, Diffusers is a better fit. It is reproducible and easier to automate, so it works well for batch parameter tests and for recording VRAM usage and generation time under different settings.&lt;/p&gt;
&lt;p&gt;GGUF, llama.cpp, Ollama, and LM Studio are more suitable for the prompt enhancer or text-side components. Do not assume that GGUF alone means the full video generation pipeline is covered. Video models often involve vision models, VAE, sampling flows, and frame generation components. GGUF is only one part of the local loading and lightweight tooling ecosystem.&lt;/p&gt;
&lt;p&gt;In short:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Beginners should first look for a ComfyUI workflow.&lt;/li&gt;
&lt;li&gt;Script users can use Diffusers for reproducible and batch tests.&lt;/li&gt;
&lt;li&gt;Use GGUF / LM Studio / Ollama mainly for prompt enhancers or text enhancers.&lt;/li&gt;
&lt;li&gt;When unsure, follow the dev version and LoRA combination recommended in the model card.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;can-8gb-vram-run-it-it-depends-on-version-and-workflow&#34;&gt;Can 8GB VRAM Run It? It Depends on Version and Workflow
&lt;/h2&gt;&lt;p&gt;Whether Sulphur 2 can run on 8GB VRAM depends not only on the model name, but also on the exact version, quantization method, resolution, frame count, batch size, and workflow.&lt;/p&gt;
&lt;p&gt;In general, video generation consumes more VRAM than image generation because it is not generating a single image. It needs to handle multiple frames, temporal consistency, and video-related intermediate states. Even if the model itself has lighter versions, adding LoRA, higher resolution, longer frame counts, or extra post-processing nodes can quickly exceed 8GB.&lt;/p&gt;
&lt;p&gt;If you only have 8GB VRAM, try reducing pressure in these ways:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Prefer &lt;code&gt;fp8mixed&lt;/code&gt;, quantized versions, or community low-VRAM workflows.&lt;/li&gt;
&lt;li&gt;Lower the resolution and first confirm that the pipeline can run at a small size.&lt;/li&gt;
&lt;li&gt;Reduce the frame count; do not start with long videos.&lt;/li&gt;
&lt;li&gt;Set batch size to 1.&lt;/li&gt;
&lt;li&gt;Disable unnecessary enhancement and post-processing nodes at first.&lt;/li&gt;
&lt;li&gt;Use CPU offload, low-VRAM mode, or framework-provided memory optimizations.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So a more accurate version of &amp;ldquo;8GB VRAM can run it&amp;rdquo; is: under a low-memory version, lower resolution, shorter frame count, and simplified workflow, it may run; but it is not realistic to expect high-resolution, long-video, complex workflows on 8GB.&lt;/p&gt;
&lt;h2 id=&#34;how-to-use-the-prompt-enhancer&#34;&gt;How to Use the Prompt Enhancer
&lt;/h2&gt;&lt;p&gt;The Sulphur 2 model card specifically mentions a prompt enhancer. Its job is not to generate videos, but to rewrite ordinary prompts into prompts that the model can understand better.&lt;/p&gt;
&lt;p&gt;Video prompts usually need to describe the subject, action, camera, scene, lighting, style, and quality. If the prompt is too short, the model may miss the important parts. A prompt enhancer can expand a simple description into a more complete video generation prompt and improve stability.&lt;/p&gt;
&lt;p&gt;The model card suggests creating a &lt;code&gt;Sulphur/promptenhancer&lt;/code&gt; directory inside the LM Studio model directory, putting the corresponding &lt;code&gt;gguf&lt;/code&gt; and &lt;code&gt;mmproj&lt;/code&gt; files there, and loading the enhancer. It does not require a system prompt; send the text you want to enhance directly, and images can be attached too.&lt;/p&gt;
&lt;p&gt;You can think of it as a prompt preprocessor:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;plain description -&amp;gt; prompt enhancer -&amp;gt; fuller video prompt -&amp;gt; Sulphur 2 workflow
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you are only testing whether the model can run, the prompt enhancer is not the first priority. Get the main workflow running first, then use it to improve prompts. That makes troubleshooting much easier.&lt;/p&gt;
&lt;h2 id=&#34;common-local-deployment-failures&#34;&gt;Common Local Deployment Failures
&lt;/h2&gt;&lt;p&gt;Local deployment of models like Sulphur 2 usually fails for more than one possible reason. Common pitfalls include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Model version and workflow mismatch, such as using weights different from the dev version expected by the workflow.&lt;/li&gt;
&lt;li&gt;Loading both LoRA and duplicate full-model components, causing abnormal behavior or excessive VRAM usage.&lt;/li&gt;
&lt;li&gt;Insufficient VRAM, especially with high resolution, long frame counts, or complex nodes.&lt;/li&gt;
&lt;li&gt;Tool versions are too old, such as incompatible ComfyUI nodes, Diffusers, Transformers, or Accelerate.&lt;/li&gt;
&lt;li&gt;Missing supporting files such as VAE, text encoder, &lt;code&gt;mmproj&lt;/code&gt;, or prompt enhancer files.&lt;/li&gt;
&lt;li&gt;File paths or directory structure do not match tool requirements.&lt;/li&gt;
&lt;li&gt;Copying a Hugging Face command without confirming whether it applies to the main video generation pipeline or only to a text-side component.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;When troubleshooting, go step by step: verify model files, confirm the workflow&amp;rsquo;s expected version, lower resolution and frame count, then add LoRA, prompt enhancer, and post-processing nodes gradually. Change only one variable at a time; it is the easiest way to locate problems.&lt;/p&gt;
&lt;h2 id=&#34;who-should-try-it&#34;&gt;Who Should Try It?
&lt;/h2&gt;&lt;p&gt;Sulphur 2 is better suited for users who:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Already use LTX, ComfyUI, Diffusers, or local video generation workflows.&lt;/li&gt;
&lt;li&gt;Want to try text-to-video or image-to-video and can handle manual model setup.&lt;/li&gt;
&lt;li&gt;Need an uncensored video generation model and understand the boundaries of using one.&lt;/li&gt;
&lt;li&gt;Want to study how prompt enhancers improve video prompts.&lt;/li&gt;
&lt;li&gt;Have enough VRAM or are willing to try quantized versions and local inference tools.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only want to quickly generate short videos, online products are still easier. Sulphur 2 is more suitable for people willing to experiment with models, nodes, LoRA, prompts, and local environments.&lt;/p&gt;
&lt;h2 id=&#34;notes-before-using-it&#34;&gt;Notes Before Using It
&lt;/h2&gt;&lt;p&gt;First, the model card is still being updated. The author also mentions that the README will later include fuller setup instructions and training details, so the latest model card and file list should be treated as the source of truth.&lt;/p&gt;
&lt;p&gt;Second, do not judge whether it can run just from a single Hugging Face command. Video generation involves the main model, VAE, LoRA, prompt enhancer, sampling parameters, resolution, frame count, and VRAM usage. A mismatch in any one of these can cause failure.&lt;/p&gt;
&lt;p&gt;Third, an uncensored model does not mean unlimited use. Generated content still needs to follow the rules of the platform, community, and law. Be especially careful with real people, copyrighted characters, minors, violence, and privacy-related content.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Sulphur 2 has a clear position: it is not a chat model, but a model release for the LTX 2.3 video generation ecosystem. Its appeal lies in text-to-video and image-to-video support, plus the prompt enhancer, local tool entry points, and recommended workflows.&lt;/p&gt;
&lt;p&gt;For ordinary users, the threshold is not low. For local video generation users, it is worth adding to the test list. The actual experience will depend on the workflow, VRAM configuration, prompt quality, and whether the README and community examples become more complete.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;Hugging Face model page: &lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/SulphurAI/Sulphur-2-base&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://huggingface.co/SulphurAI/Sulphur-2-base&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;FreeDidi reference page: &lt;a class=&#34;link&#34; href=&#34;https://www.freedidi.com/24142.html&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.freedidi.com/24142.html&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Claude Code Limits Doubled: Anthropic Uses SpaceX Compute Expansion to Ease Usage Constraints</title>
        <link>https://knightli.com/en/2026/05/09/anthropic-claude-code-higher-limits-spacex-compute/</link>
        <pubDate>Sat, 09 May 2026 10:59:48 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/09/anthropic-claude-code-higher-limits-spacex-compute/</guid>
        <description>&lt;p&gt;On May 6, 2026, Anthropic announced higher usage limits for Claude Code and the Claude API, along with a new compute partnership with SpaceX. For everyday users, the most direct change is more usable capacity for Claude Code. For developers and enterprises, the larger point is that Claude&amp;rsquo;s inference capacity is still expanding.&lt;/p&gt;
&lt;p&gt;The announcement has two parts:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Higher limits for Claude Code and the Claude API.&lt;/li&gt;
&lt;li&gt;New compute capacity from SpaceX data centers.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;what-changed-for-claude-code-limits&#34;&gt;What changed for Claude Code limits
&lt;/h2&gt;&lt;p&gt;Anthropic says the following three changes took effect on the day of the announcement:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Claude Code&amp;rsquo;s five-hour rate limit doubled for Pro, Max, Team, and seat-based Enterprise plans.&lt;/li&gt;
&lt;li&gt;Peak-hour limit reductions for Pro and Max Claude Code accounts were removed.&lt;/li&gt;
&lt;li&gt;Claude Opus API rate limits were significantly increased.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;In practical terms, if you often use Claude Code for long coding sessions, repository analysis, refactoring, debugging, or agent workflows, this change may reduce the number of times a task stops before it is finished.&lt;/p&gt;
&lt;p&gt;That does not mean unlimited usage. Claude Code is still affected by subscription plan, usage pattern, model, task length, context size, and platform policy. But Anthropic has clearly expanded the usable room compared with the previous limits.&lt;/p&gt;
&lt;h2 id=&#34;why-compute-affects-the-claude-code-experience&#34;&gt;Why compute affects the Claude Code experience
&lt;/h2&gt;&lt;p&gt;Tools like Claude Code consume more resources than ordinary chat. A single coding task can involve:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reading many files.&lt;/li&gt;
&lt;li&gt;Long-context analysis.&lt;/li&gt;
&lt;li&gt;Multiple tool calls.&lt;/li&gt;
&lt;li&gt;Generating, editing, and checking code.&lt;/li&gt;
&lt;li&gt;Repeatedly running tests or explaining errors.&lt;/li&gt;
&lt;li&gt;Using Opus for difficult reasoning.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Behind those actions are not only tokens, but also inference capacity, concurrency, and scheduling resources. Users see limits, queues, or slower peak-hour behavior; the platform sees pressure between compute supply and demand.&lt;/p&gt;
&lt;p&gt;So Anthropic putting limit increases and a compute partnership in the same announcement is meaningful. It is saying that improving Claude Code is not just a plan-setting change, but also depends on more backend inference capacity.&lt;/p&gt;
&lt;h2 id=&#34;what-the-spacex-partnership-adds&#34;&gt;What the SpaceX partnership adds
&lt;/h2&gt;&lt;p&gt;Anthropic says it has signed an agreement with SpaceX to use the full compute capacity of SpaceX&amp;rsquo;s Colossus 1 data center. The announced capacity is over 300 megawatts, corresponding to more than 220,000 NVIDIA GPUs, and will be made available to Anthropic within a month.&lt;/p&gt;
&lt;p&gt;This added capacity is expected to directly improve available capacity for Claude Pro and Claude Max subscribers.&lt;/p&gt;
&lt;p&gt;Anthropic also says it is interested in future work with SpaceX on orbital AI compute. That is more of a long-term direction, not the same thing as the Claude Code limit increase users can feel immediately.&lt;/p&gt;
&lt;h2 id=&#34;anthropics-compute-footprint-is-getting-larger&#34;&gt;Anthropic&amp;rsquo;s compute footprint is getting larger
&lt;/h2&gt;&lt;p&gt;SpaceX is only one part of Anthropic&amp;rsquo;s recent compute expansion. The company also lists other partnerships:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Up to 5GW with Amazon, including nearly 1GW of new capacity planned to come online by the end of 2026.&lt;/li&gt;
&lt;li&gt;5GW with Google and Broadcom, expected to come online starting in 2027.&lt;/li&gt;
&lt;li&gt;A strategic partnership with Microsoft and NVIDIA, including $30 billion of Azure capacity.&lt;/li&gt;
&lt;li&gt;A $50 billion U.S. AI infrastructure investment with Fluidstack.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Anthropic also notes that Claude training and inference will use multiple types of AI hardware, including AWS Trainium, Google TPUs, and NVIDIA GPUs.&lt;/p&gt;
&lt;p&gt;The trend is clear: competition among leading model companies is not only about model names, benchmarks, and product features. It is also about power, data centers, GPUs, TPUs, networking, and global deployment capacity.&lt;/p&gt;
&lt;h2 id=&#34;practical-impact-for-claude-code-users&#34;&gt;Practical impact for Claude Code users
&lt;/h2&gt;&lt;p&gt;For developers, the most important change is the doubled five-hour Claude Code limit. It affects scenarios such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reading large repositories.&lt;/li&gt;
&lt;li&gt;Multi-file refactoring.&lt;/li&gt;
&lt;li&gt;Bug investigation and test fixing.&lt;/li&gt;
&lt;li&gt;Code migration and dependency upgrades.&lt;/li&gt;
&lt;li&gt;Long-running agentic coding tasks.&lt;/li&gt;
&lt;li&gt;Multiple people using Claude Code in Team or Enterprise plans.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A common Claude Code problem has been reaching the limit while a task is still in progress. Higher limits make it easier for an agent to complete a full task instead of stopping halfway.&lt;/p&gt;
&lt;p&gt;For Pro and Max users, removing peak-hour limit reductions is also important. It means the experience may become more stable during busy periods, with less disruption from temporary tightening.&lt;/p&gt;
&lt;h2 id=&#34;what-it-means-for-api-users&#34;&gt;What it means for API users
&lt;/h2&gt;&lt;p&gt;The announcement also says Claude Opus API rate limits have increased significantly. For teams using Opus for difficult tasks, that usually means:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Higher concurrency.&lt;/li&gt;
&lt;li&gt;Fewer 429 rate-limit errors.&lt;/li&gt;
&lt;li&gt;Easier support for batch workloads.&lt;/li&gt;
&lt;li&gt;Better fit for long-context, complex reasoning, and agent workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Actual limits still vary by account, organization, model, and plan. Before production deployment, teams should still check their Anthropic Console, rate limit documentation, and error logs.&lt;/p&gt;
&lt;h2 id=&#34;enterprise-and-regional-deployment-matter-more&#34;&gt;Enterprise and regional deployment matter more
&lt;/h2&gt;&lt;p&gt;Anthropic also notes that regulated industries such as finance, healthcare, and government increasingly need regional infrastructure to satisfy compliance and data residency requirements. Part of its capacity expansion will therefore be outside the United States, especially for inference capacity in Asia and Europe.&lt;/p&gt;
&lt;p&gt;This matters for enterprise customers. Once large model applications enter core business workflows, the questions are not only whether the model is good enough. They also include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether data stays in the required region.&lt;/li&gt;
&lt;li&gt;Whether industry compliance requirements are met.&lt;/li&gt;
&lt;li&gt;Whether peak-hour capacity is stable.&lt;/li&gt;
&lt;li&gt;Whether team-level and organization-level concurrency are supported.&lt;/li&gt;
&lt;li&gt;Whether audit, permission, and security controls are available.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;From that perspective, compute expansion is not just performance news. It can shape enterprise procurement and deployment decisions.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Anthropic&amp;rsquo;s message is direct: Claude Code and Claude API usage constraints are being relaxed because new compute capacity is coming online.&lt;/p&gt;
&lt;p&gt;For everyday Claude Code users, the most important points are the doubled five-hour limit and the removal of peak-hour reductions for Pro and Max. For API and enterprise users, the main points are higher Opus rate limits and Anthropic&amp;rsquo;s longer-term compute partnerships with SpaceX, Amazon, Google, Microsoft, NVIDIA, and Fluidstack.&lt;/p&gt;
&lt;p&gt;AI tools are increasingly infrastructure services. Model quality matters, but stable capacity, regional compliance, limit policy, and cost control also shape the user experience.&lt;/p&gt;
&lt;p&gt;Reference:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.anthropic.com/news/higher-limits-spacex&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Anthropic: Higher usage limits for Claude and a compute deal with SpaceX&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>OpenAI&#39;s New Realtime Voice Models: GPT-Realtime-2, Live Translation, and Streaming Transcription</title>
        <link>https://knightli.com/en/2026/05/09/openai-realtime-voice-models-gpt-realtime-2-translate-whisper/</link>
        <pubDate>Sat, 09 May 2026 10:58:47 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/09/openai-realtime-voice-models-gpt-realtime-2-translate-whisper/</guid>
        <description>&lt;p&gt;On May 7, 2026, OpenAI introduced a new generation of voice models for the Realtime API. The point is not only to make AI sound more natural, but to let voice agents understand, reason, call tools, translate, and transcribe during a live conversation.&lt;/p&gt;
&lt;p&gt;The update includes three models:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;GPT-Realtime-2&lt;/code&gt;: the main model for realtime voice agents, with stronger reasoning, tool calling, and longer context.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;GPT-Realtime-Translate&lt;/code&gt;: a live speech translation model that supports 70+ input languages and 13 output languages.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;GPT-Realtime-Whisper&lt;/code&gt;: a low-latency streaming speech-to-text model for captions, meeting notes, and realtime workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If early voice assistants were mostly “ask once, answer once,” this release moves closer to a voice interface that can listen and act at the same time.&lt;/p&gt;
&lt;h2 id=&#34;gpt-realtime-2-the-main-model-for-voice-agents&#34;&gt;GPT-Realtime-2: the main model for voice agents
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-Realtime-2&lt;/code&gt; is built for live voice interactions. It does not just answer questions; it needs to keep context while the user speaks, changes direction, interrupts, or adds constraints, and then call tools when needed.&lt;/p&gt;
&lt;p&gt;Officially highlighted capabilities include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Short preambles before a response, such as “let me check that,” so users know the system is working.&lt;/li&gt;
&lt;li&gt;Parallel tool calls for calendars, search, orders, support systems, and other multi-tool workflows.&lt;/li&gt;
&lt;li&gt;More natural recovery behavior when something fails.&lt;/li&gt;
&lt;li&gt;A context window increased from 32K to 128K for longer conversations and more complex task flows.&lt;/li&gt;
&lt;li&gt;Better retention of specialized terminology, proper nouns, and medical vocabulary.&lt;/li&gt;
&lt;li&gt;More controllable tone and delivery, such as calm, empathetic, confirmational, or upbeat responses.&lt;/li&gt;
&lt;li&gt;Adjustable reasoning effort: &lt;code&gt;minimal&lt;/code&gt;, &lt;code&gt;low&lt;/code&gt;, &lt;code&gt;medium&lt;/code&gt;, &lt;code&gt;high&lt;/code&gt;, and &lt;code&gt;xhigh&lt;/code&gt;, with &lt;code&gt;low&lt;/code&gt; as the default.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This means developers can use voice agents in more demanding products, not only simple Q&amp;amp;A. A support agent can listen while checking an order; a travel app can give next steps after a flight change; a real estate assistant can filter listings and schedule a tour from spoken requirements.&lt;/p&gt;
&lt;h2 id=&#34;live-translation-for-multilingual-voice-products&#34;&gt;Live translation for multilingual voice products
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-Realtime-Translate&lt;/code&gt; is designed for live speech translation. People can speak in their own language while the other side hears translated speech and sees realtime transcripts.&lt;/p&gt;
&lt;p&gt;Clear use cases include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Multilingual customer support.&lt;/li&gt;
&lt;li&gt;Cross-border sales and pre-sales conversations.&lt;/li&gt;
&lt;li&gt;Online education and live events.&lt;/li&gt;
&lt;li&gt;International meetings and hosting.&lt;/li&gt;
&lt;li&gt;Creator and video platform localization.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The hard part of live translation is not only accuracy. It also requires low latency, natural pauses, tone preservation, accent handling, and domain vocabulary. OpenAI is emphasizing cross-language conversations that feel closer to natural speech, instead of waiting for an entire segment before translation begins.&lt;/p&gt;
&lt;h2 id=&#34;streaming-transcription-voice-content-enters-workflows-immediately&#34;&gt;Streaming transcription: voice content enters workflows immediately
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-Realtime-Whisper&lt;/code&gt; is the new streaming speech-to-text model. Its value is turning speech into usable text while it is happening, instead of waiting for a recording to finish.&lt;/p&gt;
&lt;p&gt;Common applications include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Live meeting captions.&lt;/li&gt;
&lt;li&gt;Classroom and broadcast captions.&lt;/li&gt;
&lt;li&gt;Realtime meeting notes.&lt;/li&gt;
&lt;li&gt;Continuous dictation input for voice agents.&lt;/li&gt;
&lt;li&gt;Follow-up workflows in support, healthcare, recruiting, sales, and other high-volume voice scenarios.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For products, streaming transcription shortens the time from spoken words to actionable text. Captions appear faster, notes can be generated during the conversation, and downstream workflows such as summaries, task extraction, and CRM updates can start earlier.&lt;/p&gt;
&lt;h2 id=&#34;pricing-and-availability&#34;&gt;Pricing and availability
&lt;/h2&gt;&lt;p&gt;All three models are available in the Realtime API. Official pricing is:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th&gt;Price&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;GPT-Realtime-2&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Audio input $32 / 1M tokens, cached input $0.40 / 1M tokens, audio output $64 / 1M tokens&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;GPT-Realtime-Translate&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;$0.034 / minute&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;GPT-Realtime-Whisper&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;$0.017 / minute&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;OpenAI also says the Realtime API supports EU Data Residency and is covered by its enterprise privacy commitments. For European businesses or products with data residency requirements, that is worth evaluating separately.&lt;/p&gt;
&lt;h2 id=&#34;what-this-means-for-developers&#34;&gt;What this means for developers
&lt;/h2&gt;&lt;p&gt;The key shift is that voice is becoming part of the product interaction layer, not just an input/output layer.&lt;/p&gt;
&lt;p&gt;In many earlier voice features, speech was converted to text, and text responses were converted back into speech. The hard middle layer is intent understanding, interruption handling, context tracking, tool calls, tool transparency, and graceful recovery.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT-Realtime-2&lt;/code&gt; tries to move more of that capability directly into the realtime voice model. For developers, the question is not only answer quality, but whether the model can support sustained conversations and multi-step tasks.&lt;/p&gt;
&lt;p&gt;Products that are especially worth testing include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Customer support voice agents.&lt;/li&gt;
&lt;li&gt;In-car and mobile voice assistants.&lt;/li&gt;
&lt;li&gt;Travel, booking, real estate, finance, and other services that need conversation plus lookup.&lt;/li&gt;
&lt;li&gt;Multilingual meetings and cross-border communication tools.&lt;/li&gt;
&lt;li&gt;Live captions, meeting notes, and call quality systems.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;safety-and-disclosure-still-matter&#34;&gt;Safety and disclosure still matter
&lt;/h2&gt;&lt;p&gt;OpenAI says the Realtime API includes multiple safety layers, such as active classifiers over sessions and the ability to stop policy-violating conversations. Developers can also add their own guardrails through the Agents SDK.&lt;/p&gt;
&lt;p&gt;One easily missed requirement is disclosure: developers should make it clear when end users are interacting with AI, unless that is already obvious from the context.&lt;/p&gt;
&lt;p&gt;This matters in support, sales, education, healthcare, and similar scenarios. The more natural voice becomes, the more important product boundaries become: users should know they are talking to AI, and understand when speech may be recorded, transcribed, or used to trigger tools.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;OpenAI&amp;rsquo;s Realtime API update moves live voice from “can listen and speak” toward “can listen while working through tasks.”&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT-Realtime-2&lt;/code&gt; handles more complex voice agents, &lt;code&gt;GPT-Realtime-Translate&lt;/code&gt; handles live cross-language communication, and &lt;code&gt;GPT-Realtime-Whisper&lt;/code&gt; handles low-latency transcription. Together, they cover the three basic capabilities most voice products need: conversation, translation, and transcription.&lt;/p&gt;
&lt;p&gt;If you are building support, in-car, meeting, education, cross-border communication, or mobile voice assistant products, this release is worth testing. The important question is not only whether the model sounds natural, but how it performs in long conversations, interruptions, tool calls, failure recovery, and cost control.&lt;/p&gt;
&lt;p&gt;Reference:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/advancing-voice-intelligence-with-new-models-in-the-api/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;OpenAI: Advancing voice intelligence with new models in the API&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>What to Do if Your Claude Account Is Suspended: Claude Code Limits and Appeal Guide</title>
        <link>https://knightli.com/en/2026/05/09/claude-account-suspension-code-limit-guide/</link>
        <pubDate>Sat, 09 May 2026 10:32:12 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/09/claude-account-suspension-code-limit-guide/</guid>
        <description>&lt;p&gt;When a Claude or Claude Code account is suddenly limited, suspended right after payment, loses Pro access, or shows lower-than-expected usage capacity, many users naturally look for quick explanations. The important point is that this should not be treated as a simple &amp;ldquo;change IP&amp;rdquo; or &amp;ldquo;create another account&amp;rdquo; technical problem. Account risk systems usually combine signals such as region, payment, device, login behavior, usage content, automation, and sharing patterns.&lt;/p&gt;
&lt;p&gt;A safer way to handle the issue is to first identify what kind of problem you actually have: normal quota limit, payment or subscription mismatch, Claude Code authorization issue, or an account-level action because Anthropic believes usage violated its policies or terms.&lt;/p&gt;
&lt;h2 id=&#34;first-distinguish-three-situations&#34;&gt;First, distinguish three situations
&lt;/h2&gt;&lt;p&gt;The first category is normal usage limits. Claude Pro, Max, Team, API, and Claude Code have different quota models. Peak-hour use, long context, coding tasks, and agent workflows may consume limits faster. Seeing &amp;ldquo;limit reached&amp;rdquo; does not necessarily mean your account is banned.&lt;/p&gt;
&lt;p&gt;The second category is subscription or authorization trouble. For example, payment may have succeeded but access has not refreshed, a mobile subscription may not match the web account, Claude Code may not be logged in correctly, or an old &lt;code&gt;ANTHROPIC_API_KEY&lt;/code&gt; may remain in your environment. Start by checking billing, login state, and client configuration.&lt;/p&gt;
&lt;p&gt;The third category is account suspension or termination. Typical signs include emails mentioning suspension, disabled account, or termination, or a login page that says the account is unavailable. In this case, do not repeatedly switch devices, networks, and accounts to try again. That may make the risk signals more complicated.&lt;/p&gt;
&lt;h2 id=&#34;common-triggers&#34;&gt;Common triggers
&lt;/h2&gt;&lt;p&gt;Anthropic&amp;rsquo;s help and privacy documentation mention common risk areas such as violations of the Usage Policy, account creation or use from unsupported regions, terms violations, repeated violations, unusual access, and abuse.&lt;/p&gt;
&lt;p&gt;In practice, risky patterns include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Account registration, login region, and payment region do not match.&lt;/li&gt;
&lt;li&gt;Long-term use of datacenter proxies, shared proxies, or frequent IP switching.&lt;/li&gt;
&lt;li&gt;Multiple people sharing one personal account.&lt;/li&gt;
&lt;li&gt;Frequent logins from many devices or regions in a short time.&lt;/li&gt;
&lt;li&gt;Automated high-frequency access to Claude.ai.&lt;/li&gt;
&lt;li&gt;Treating Claude Code as a shared service or resale entry point.&lt;/li&gt;
&lt;li&gt;Requesting content that clearly violates Anthropic&amp;rsquo;s policies.&lt;/li&gt;
&lt;li&gt;Conflicts among payment method, billing address, and account region.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The key is not that any single signal always causes suspension. The risk increases when multiple abnormal signals appear together.&lt;/p&gt;
&lt;h2 id=&#34;do-not-solve-it-by-evading-risk-controls&#34;&gt;Do not solve it by evading risk controls
&lt;/h2&gt;&lt;p&gt;Online advice often suggests &amp;ldquo;stable usage solutions&amp;rdquo; such as fingerprint browsers, device fingerprint reset, deleting local folders, changing environments, aligning time zone and language, or registering with a new email. Some of this is ordinary troubleshooting, but some is clearly aimed at evading platform risk controls.&lt;/p&gt;
&lt;p&gt;Do not treat &amp;ldquo;bypassing risk control&amp;rdquo; as the solution. Reasons are simple:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;It may violate the terms of service.&lt;/li&gt;
&lt;li&gt;It may add more account risk signals.&lt;/li&gt;
&lt;li&gt;It does not solve root causes such as payment, region, or policy violations.&lt;/li&gt;
&lt;li&gt;For team or business use, it makes later appeals harder to explain.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If your goal is long-term stable use of Claude, the right direction is not disguise. It is making account information, region, payment, device, and usage real, consistent, and explainable.&lt;/p&gt;
&lt;h2 id=&#34;troubleshooting-claude-code-limits&#34;&gt;Troubleshooting Claude Code limits
&lt;/h2&gt;&lt;p&gt;Claude Code users can start with:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;claude --version
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;claude auth status
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you use an API key, confirm that the environment variable points to the right account:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;echo&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;$ANTHROPIC_API_KEY&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;In Windows PowerShell:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-powershell&#34; data-lang=&#34;powershell&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;echo &lt;/span&gt;&lt;span class=&#34;nv&#34;&gt;$env:ANTHROPIC_API_KEY&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you have used web login, OAuth, API keys, third-party clients, or different terminals, standardize the authentication method first. One tool may still be using old credentials.&lt;/p&gt;
&lt;p&gt;Also distinguish two cases:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Claude Code reached its usage limit: usually a quota or subscription issue.&lt;/li&gt;
&lt;li&gt;The account or organization is disabled: usually an account, organization, payment, or policy risk issue.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For the first, wait for quota refresh or adjust the plan. For the second, keep screenshots and emails, then use official support or appeal channels.&lt;/p&gt;
&lt;h2 id=&#34;compliant-stability-tips&#34;&gt;Compliant stability tips
&lt;/h2&gt;&lt;p&gt;To reduce the chance of account problems, start with the basics:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use a normal account in a supported country or region.&lt;/li&gt;
&lt;li&gt;Keep login region, payment method, and billing information consistent when possible.&lt;/li&gt;
&lt;li&gt;Avoid sharing a personal account among multiple people.&lt;/li&gt;
&lt;li&gt;Do not use a personal Pro/Max account as a team API pool.&lt;/li&gt;
&lt;li&gt;Avoid frequent changes of IP, device, and browser environment.&lt;/li&gt;
&lt;li&gt;Do not use unknown third-party Claude clients.&lt;/li&gt;
&lt;li&gt;Avoid high-frequency automation against Claude.ai&amp;rsquo;s web interface.&lt;/li&gt;
&lt;li&gt;For business or team use, prefer Team, Enterprise, or API plans.&lt;/li&gt;
&lt;li&gt;Read Anthropic&amp;rsquo;s Usage Policy and avoid restricted use cases.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you genuinely need to use Claude on multiple devices, log in normally. Do not keep clearing environments, changing fingerprints, or switching proxies. Excessive environment manipulation can itself look abnormal.&lt;/p&gt;
&lt;h2 id=&#34;what-to-do-after-suspension&#34;&gt;What to do after suspension
&lt;/h2&gt;&lt;p&gt;If the account is already suspended, handle it in this order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Check emails from Anthropic or Claude and confirm the stated reason or message type.&lt;/li&gt;
&lt;li&gt;Stop creating new accounts, changing networks, and retrying from more devices.&lt;/li&gt;
&lt;li&gt;Collect account email, subscription order, payment proof, and recent usage context.&lt;/li&gt;
&lt;li&gt;If you believe it is a mistake, submit an appeal or contact support through official channels.&lt;/li&gt;
&lt;li&gt;Explain the real usage scenario. Do not invent region, identity, or purpose.&lt;/li&gt;
&lt;li&gt;If payment is involved, ask separately about refund or subscription handling.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;When appealing, be specific. Mention whether you used Claude Code, switched devices, used a VPN, shared with a team, or connected third-party tools. The platform needs to identify the source of risk. A vague &amp;ldquo;I did nothing&amp;rdquo; usually does not help much.&lt;/p&gt;
&lt;h2 id=&#34;claims-to-treat-carefully&#34;&gt;Claims to treat carefully
&lt;/h2&gt;&lt;p&gt;Some posts or videos claim that &amp;ldquo;fixed fingerprints prevent bans&amp;rdquo;, &amp;ldquo;one browser prevents suspension completely&amp;rdquo;, &amp;ldquo;deleting one directory resets device identity&amp;rdquo;, or &amp;ldquo;matching IP, time zone, and language solves everything&amp;rdquo;. Do not accept these claims uncritically.&lt;/p&gt;
&lt;p&gt;Platform risk systems are usually multidimensional. They do not only look at browser fingerprint or IP. Account history, payment information, region policy, content, access frequency, automation patterns, client version, and API calling behavior may all matter. Single-signal disguise is not long-term stability and may create more inconsistencies.&lt;/p&gt;
&lt;p&gt;More importantly, many so-called anti-ban solutions are actually selling tools or services. What users really need is to identify the risk source, use the service compliantly, and preserve appeal evidence, not rely on third-party environment wrappers for account safety.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Claude account suspension or Claude Code limitation is not always caused by one thing. It may be quota, subscription, authorization, or a combined risk signal involving region, payment, device, sharing, automation, or policy-sensitive content.&lt;/p&gt;
&lt;p&gt;The key to long-term stable use of Claude is not bypassing risk controls. It is compliant usage, consistent account information, stable access patterns, and formal plans for team use. If an account is suspended, stop manipulating the environment, preserve evidence, and use official appeal and support channels.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.anthropic.com/supported-countries&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Anthropic: Supported countries and regions&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://support.claude.com/en/articles/8241253-i-ve-received-a-warning-that-my-usage-violates-the-acceptable-use-policy-what-should-i-do-differently&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Claude Help Center: Safeguards warnings and appeals&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://privacy.claude.com/en/articles/11186740-does-claude-use-my-location&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Anthropic Privacy Center: Does Claude use my location?&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://support.anthropic.com/en/articles/12005017-using-agents-according-to-our-usage-policy&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Anthropic Help Center: Using agents according to our Usage Policy&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>From PPT to Prototypes: Use Cases for Guizang PPT Skill and Huashu Design</title>
        <link>https://knightli.com/en/2026/05/09/guizang-ppt-skill-huashu-design-agent-skills/</link>
        <pubDate>Sat, 09 May 2026 08:34:23 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/09/guizang-ppt-skill-huashu-design-agent-skills/</guid>
        <description>&lt;p&gt;Two design-oriented Agent Skills made by Chinese developers are worth looking at side by side: &lt;a class=&#34;link&#34; href=&#34;https://github.com/op7418/guizang-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;guizang-ppt-skill&lt;/a&gt; by Guizang, and &lt;a class=&#34;link&#34; href=&#34;https://github.com/alchaincyf/huashu-design&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;huashu-design&lt;/a&gt; by Huashu.&lt;/p&gt;
&lt;p&gt;They are not “design tools” in the traditional sense. Instead, they turn a design process, aesthetic preferences, checklists, and engineering templates into Skills that an Agent can execute. You are not opening a UI and slowly dragging elements around. You hand the requirement to an Agent such as Claude Code, Codex, or Cursor, and let it generate HTML, PPT, animation, or prototypes through a fixed workflow.&lt;/p&gt;
&lt;p&gt;The value of these projects is not that they let AI improvise. It is that they turn “how to make this not look bad” into a repeatable process.&lt;/p&gt;
&lt;h2 id=&#34;guizang-ppt-skill-focused-on-magazine-style-web-ppt&#34;&gt;guizang-ppt-skill: focused on magazine-style web PPT
&lt;/h2&gt;&lt;p&gt;Guizang&amp;rsquo;s &lt;code&gt;guizang-ppt-skill&lt;/code&gt; has a clear positioning: it generates single-file HTML, horizontally paged PPTs with a visual baseline of “digital magazine x e-ink.” It feels more like a layout system prepared for talks than a general-purpose design framework.&lt;/p&gt;
&lt;p&gt;The repository README lists these core capabilities:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Single-file HTML output, with no build step or server required. Open it directly in a browser.&lt;/li&gt;
&lt;li&gt;Horizontal page navigation, with support for keyboard, mouse wheel, touch swipes, bottom dots, and an ESC index.&lt;/li&gt;
&lt;li&gt;5 preset theme palettes, including Ink Classic, Indigo Porcelain, Forest Ink, Kraft Paper, and Dune.&lt;/li&gt;
&lt;li&gt;10 page layouts, including opening cover, section divider, big-number data poster, text-left-image-right, image grid, Pipeline, suspense question, large quote, Before/After comparison, and mixed text-image layout.&lt;/li&gt;
&lt;li&gt;Built-in templates, component notes, layout skeletons, theme configuration, and quality checklists.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is suitable for offline sharing, internal industry talks, private salons, AI product launches, demo days, and presentation decks with a strong personal style. It is less suited to large tables, training courseware, or multi-person collaborative editing.&lt;/p&gt;
&lt;p&gt;This project makes a good tradeoff: it does not try to cover every design scenario, but narrows itself to “magazine-style PPT.” Theme colors are chosen from presets, and layouts have clear skeletons. That actually reduces the chance of the Agent drifting off course.&lt;/p&gt;
&lt;p&gt;If you often need to turn opinions, industry observations, or product launch content into a presentation deck, it can be highly practical.&lt;/p&gt;
&lt;p&gt;The install command is straightforward:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npx skills add https://github.com/op7418/guizang-ppt-skill --skill guizang-ppt-skill
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;huashu-design-a-fuller-html-native-design-workflow&#34;&gt;huashu-design: a fuller HTML-native design workflow
&lt;/h2&gt;&lt;p&gt;Huashu&amp;rsquo;s &lt;code&gt;huashu-design&lt;/code&gt; has broader coverage. Its goal is not just to make PPTs, but to treat HTML as a native design canvas and let an Agent produce deliverable design assets.&lt;/p&gt;
&lt;p&gt;The repository README lists these capabilities:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Clickable App or Web prototypes.&lt;/li&gt;
&lt;li&gt;HTML slides, plus editable PPTX export.&lt;/li&gt;
&lt;li&gt;Product launch animations, MP4, GIF, and versions with music.&lt;/li&gt;
&lt;li&gt;Multiple design directions shown side by side for comparison.&lt;/li&gt;
&lt;li&gt;Infographics, data visualizations, and PDF, PNG, SVG export.&lt;/li&gt;
&lt;li&gt;5-dimensional expert review, covering philosophical consistency, visual hierarchy, execution craft, functionality, and innovation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Its core idea is to let the Agent understand the brand and assets first, then produce high-fidelity design. The project emphasizes a Core Asset Protocol: when dealing with a specific brand, first confirm the logo, product images, UI screenshots, color palette, fonts, and brand guidelines instead of guessing from memory.&lt;/p&gt;
&lt;p&gt;This matters. Many AI-generated designs look “like design,” but they do not look like a real product or brand. &lt;code&gt;huashu-design&lt;/code&gt; tries to solve that problem up front: find real assets first, then design.&lt;/p&gt;
&lt;p&gt;The install command is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npx skills add alchaincyf/huashu-design
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;It is better suited to people who want to complete a fuller design delivery from the terminal: product prototypes, launch animations, presentations, infographics, and design reviews can all be handled inside one Agent workflow.&lt;/p&gt;
&lt;h2 id=&#34;the-biggest-difference-between-the-two&#34;&gt;The biggest difference between the two
&lt;/h2&gt;&lt;p&gt;In simple terms, &lt;code&gt;guizang-ppt-skill&lt;/code&gt; is a narrower and steadier presentation deck generator; &lt;code&gt;huashu-design&lt;/code&gt; is a broader and more complete HTML-native design system.&lt;/p&gt;
&lt;p&gt;If you only look at PPT:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;guizang-ppt-skill&lt;/code&gt; emphasizes magazine feel, rhythm, layout, and single-file browser presentations.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;huashu-design&lt;/code&gt; emphasizes general design capability, editable PPTX, brand assets, export paths, and review workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you look at overall design capability:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;guizang-ppt-skill&lt;/code&gt; has clearer boundaries and is suitable for quickly making a stylish horizontal presentation.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;huashu-design&lt;/code&gt; is more comprehensive and is suitable for breaking a product or brand design task into prototypes, animations, slides, and infographics.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These two projects also represent two different ways to write Skills. The former is like a highly constrained set of templates and aesthetic rules. The latter is like a workflow manual for a small design team.&lt;/p&gt;
&lt;h2 id=&#34;why-this-kind-of-skill-matters&#34;&gt;Why this kind of Skill matters
&lt;/h2&gt;&lt;p&gt;A common problem with Agents is that they “can do it, but not consistently.” The same request may produce a strong result once, then drift into purple gradients, rounded cards, fake icons, and a pile of fancy-sounding empty copy the next time.&lt;/p&gt;
&lt;p&gt;Skills are a way to add stability. They lock down things such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reusable templates.&lt;/li&gt;
&lt;li&gt;Executable checklists.&lt;/li&gt;
&lt;li&gt;Clear aesthetic preferences.&lt;/li&gt;
&lt;li&gt;Rules for avoiding common mistakes.&lt;/li&gt;
&lt;li&gt;Output formats and validation flows.&lt;/li&gt;
&lt;li&gt;When to ask questions and when to start directly.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is far more reliable than simply writing “please make it look more premium.”&lt;/p&gt;
&lt;p&gt;This is especially true for design tasks. Aesthetics cannot be reproduced reliably by a single prompt. What really helps is process: confirm assets first, decide the direction, build the structure, work on the visuals, then inspect the output. When this process is written as a Skill, the Agent becomes more like a collaborative executor rather than a one-shot image generator.&lt;/p&gt;
&lt;h2 id=&#34;usage-recommendations&#34;&gt;Usage recommendations
&lt;/h2&gt;&lt;p&gt;If you just want to turn a topic into an offline talk or sharing deck, try &lt;code&gt;guizang-ppt-skill&lt;/code&gt; first. Its output boundary is narrow, and single-file HTML is also easy to distribute and preview.&lt;/p&gt;
&lt;p&gt;If you want an Agent to take on a more complete design task, such as App prototypes, launch animations, branded slides, exportable PPTX, or infographics, look at &lt;code&gt;huashu-design&lt;/code&gt; first. Its workflow is longer and better suited to tasks that need multiple rounds of iteration and exported deliverables.&lt;/p&gt;
&lt;p&gt;If you are already writing your own Codex or Claude Code Skill, both projects are worth studying:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;To learn “how to make a narrow scenario stable,” look at &lt;code&gt;guizang-ppt-skill&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;To learn “how to break a complex workflow into executable protocols,” look at &lt;code&gt;huashu-design&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;What Guizang and Huashu have in common is that both turn “design capability” from a one-time prompt into a repeatable process.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;guizang-ppt-skill&lt;/code&gt; focuses on magazine-style HTML PPT and works well for highly stylized presentations. &lt;code&gt;huashu-design&lt;/code&gt; focuses on an HTML-native design system covering prototypes, animations, slides, infographics, and reviews. The problem they solve is not “can AI generate design,” but “can AI generate deliverable design through a stable method.”&lt;/p&gt;
&lt;p&gt;This may become an important type of open-source project in the Agent tooling ecosystem: not just code templates, but packaged human experience, aesthetics, and working methods as Skills.&lt;/p&gt;
&lt;p&gt;Reference links:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/op7418/guizang-ppt-skill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;op7418/guizang-ppt-skill&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/alchaincyf/huashu-design&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;alchaincyf/huashu-design&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>How to Detect Claude 4-Generated Text: AI Text Detection Tools and Methods</title>
        <link>https://knightli.com/en/2026/05/08/detect-claude-4-ai-generated-text-tools/</link>
        <pubDate>Fri, 08 May 2026 22:55:16 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/detect-claude-4-ai-generated-text-tools/</guid>
        <description>&lt;p&gt;If you want to judge whether a text was generated by Claude 4, the most important premise is this: no tool can give a 100% certain answer. AI text detection is probabilistic. It can suggest that a passage looks more like AI writing, but it cannot prove that the author definitely used Claude 4.&lt;/p&gt;
&lt;p&gt;This matters even more in 2026. Claude 4, GPT-5, Gemini 2.5, DeepSeek, and other models write more like humans than earlier systems. Many texts are also no longer purely AI or purely human: they may be drafted by AI, edited by humans, polished by grammar tools, translated, rewritten, and stitched together. Detection tools can provide clues, but reliable judgment should also consider the writing process, version history, cited sources, and human review.&lt;/p&gt;
&lt;h2 id=&#34;the-short-answer-never-rely-on-one-score&#34;&gt;The short answer: never rely on one score
&lt;/h2&gt;&lt;p&gt;For a quick self-check, use two or three detectors together, such as GPTZero, Copyleaks, Originality.ai, Sapling, and Winston AI. In academic settings, Turnitin is common. Their models, training data, and thresholds differ, so the same text may receive different results.&lt;/p&gt;
&lt;p&gt;A more reliable process is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Run the same text through at least two tools.&lt;/li&gt;
&lt;li&gt;Review sentence-level highlights, not just the total score.&lt;/li&gt;
&lt;li&gt;Check for citation errors, factual hallucinations, and overly smooth transitions.&lt;/li&gt;
&lt;li&gt;Look at writing-process evidence such as drafts, revision history, and commit history.&lt;/li&gt;
&lt;li&gt;Treat low AI scores cautiously and never use detection output as the only evidence.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;In schools, hiring, publishing, and compliance scenarios, AI detection should be a risk signal, not the final verdict.&lt;/p&gt;
&lt;h2 id=&#34;common-tools&#34;&gt;Common tools
&lt;/h2&gt;&lt;h3 id=&#34;gptzero&#34;&gt;GPTZero
&lt;/h3&gt;&lt;p&gt;GPTZero is widely used in education and publishing. It became known early for statistical ideas such as perplexity and burstiness, and has since evolved into a multi-stage detection system that updates for newer model families.&lt;/p&gt;
&lt;p&gt;It works well as an initial screen for long English essays, drafts, and articles. Its strengths are a friendly interface and clear sentence-level explanations. Its weaknesses are short texts, heavily human-edited texts, and multilingual mixed content.&lt;/p&gt;
&lt;h3 id=&#34;copyleaks-ai-detector&#34;&gt;Copyleaks AI Detector
&lt;/h3&gt;&lt;p&gt;Copyleaks is strong in multilingual detection, API access, browser extensions, and LMS integrations. Its official pages claim support for Claude, Gemini, GPT-5, DeepSeek, Llama, and other model families, and emphasize detection of mixed human and AI writing.&lt;/p&gt;
&lt;p&gt;It is useful for content teams, educational institutions, and enterprises that need batch workflows. Still, vendor accuracy claims are usually measured on specific test sets. In practice, you must consider text length, language, rewriting, and the cost of false positives.&lt;/p&gt;
&lt;h3 id=&#34;turnitin-ai-writing-report&#34;&gt;Turnitin AI Writing Report
&lt;/h3&gt;&lt;p&gt;Turnitin is mainly used in academic integrity workflows. It provides an AI writing indicator, highlighted passages, and support for detecting both generated text and text processed by AI paraphrasing tools.&lt;/p&gt;
&lt;p&gt;But Turnitin&amp;rsquo;s own documentation warns that models can misclassify human text, AI text, or AI-paraphrased text, and should not be used as the only basis for adverse action against a student. It also handles lower AI percentages carefully to reduce misreading and false-positive risk.&lt;/p&gt;
&lt;h3 id=&#34;originalityai-sapling-and-winston-ai&#34;&gt;Originality.ai, Sapling, and Winston AI
&lt;/h3&gt;&lt;p&gt;These tools often appear in content marketing, SEO, publishing, and editorial workflows. They usually provide batch detection, team features, APIs, or sentence-level analysis. They are useful for content quality control, but a single result still should not be treated as proof.&lt;/p&gt;
&lt;h3 id=&#34;zerogpt-monica-phrasly-and-free-tools&#34;&gt;ZeroGPT, Monica, Phrasly, and free tools
&lt;/h3&gt;&lt;p&gt;Free tools are fine for a quick self-check, but they are not recommended for high-stakes decisions. Their thresholds, training data, false-positive rates, and update schedules may not be transparent. Claims of &amp;ldquo;99%+ accuracy&amp;rdquo; should be treated cautiously.&lt;/p&gt;
&lt;h2 id=&#34;what-detection-algorithms-look-at&#34;&gt;What detection algorithms look at
&lt;/h2&gt;&lt;p&gt;Traditional AI text detection often mentions two metrics:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Perplexity&lt;/code&gt;: roughly measures how predictable the text is to a language model. Extremely smooth text with highly predictable next words may look more AI-like.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Burstiness&lt;/code&gt;: measures variation in sentence length, structure, and rhythm. Human writing often has more uneven variation, while model output is often smoother.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Modern detectors usually go beyond these two metrics. They combine many signals:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Word frequency and phrase patterns.&lt;/li&gt;
&lt;li&gt;Syntax structure and part-of-speech distribution.&lt;/li&gt;
&lt;li&gt;Punctuation, connectors, and paragraph organization.&lt;/li&gt;
&lt;li&gt;Repeated sentence templates.&lt;/li&gt;
&lt;li&gt;Semantic consistency and suspicious factual references.&lt;/li&gt;
&lt;li&gt;Model-specific linguistic fingerprints.&lt;/li&gt;
&lt;li&gt;Boundaries between human and AI-written passages.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In other words, when a tool detects Claude 4-like writing, it is usually not identifying a Claude 4 watermark. It is judging whether the passage matches statistical patterns associated with LLM-generated text.&lt;/p&gt;
&lt;h2 id=&#34;why-claude-4-is-harder-to-detect&#34;&gt;Why Claude 4 is harder to detect
&lt;/h2&gt;&lt;p&gt;Claude models tend to produce natural prose with stable long-paragraph transitions. With careful prompting, Claude 4 can imitate personal style, reduce template-like wording, and keep a small amount of conversational irregularity. After human editing or translation, detection becomes even harder.&lt;/p&gt;
&lt;p&gt;That creates two issues:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Pure Claude 4 output may be detected as AI, but confidence depends on topic, language, and length.&lt;/li&gt;
&lt;li&gt;Text drafted by Claude 4 and then edited by humans may evade detection, or may still be flagged with a high AI score.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So the most valuable part of a report is not &amp;ldquo;87% AI&amp;rdquo;. It is which sentences are highlighted, why they look suspicious, and whether those signals align with writing-process evidence.&lt;/p&gt;
&lt;h2 id=&#34;recommended-workflow&#34;&gt;Recommended workflow
&lt;/h2&gt;&lt;p&gt;If you need to judge whether an article may have been generated by Claude 4, use this process:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Preserve the original text and do not rewrite it first.&lt;/li&gt;
&lt;li&gt;Test it with tools such as GPTZero, Copyleaks, or Turnitin.&lt;/li&gt;
&lt;li&gt;Record the total score, highlighted sentences, and tool version.&lt;/li&gt;
&lt;li&gt;Manually review highlighted sentences for formulaic transitions, generic wording, and unsupported claims.&lt;/li&gt;
&lt;li&gt;Verify citations, data, links, and proper nouns.&lt;/li&gt;
&lt;li&gt;Ask for writing-process material such as outlines, drafts, and revision history.&lt;/li&gt;
&lt;li&gt;Treat the detection result only as supporting evidence.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If you want to reduce the risk of your own writing being misclassified, the right approach is not to &amp;ldquo;bypass detectors&amp;rdquo;. Keep writing records, add real experience, verify citations, remove vague filler, and make the article reflect real human judgment and sources.&lt;/p&gt;
&lt;h2 id=&#34;common-false-positive-cases&#34;&gt;Common false-positive cases
&lt;/h2&gt;&lt;p&gt;These texts are especially easy to misclassify:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Formal English written by non-native speakers.&lt;/li&gt;
&lt;li&gt;Highly templated academic abstracts, business emails, and policy notes.&lt;/li&gt;
&lt;li&gt;Text polished by tools such as Grammarly, DeepL Write, or Notion AI.&lt;/li&gt;
&lt;li&gt;Short texts, titles, summaries, and product descriptions.&lt;/li&gt;
&lt;li&gt;Translation-like Chinese or English.&lt;/li&gt;
&lt;li&gt;Multi-author drafts that have been normalized into one style.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The higher the stakes around discipline, hiring, grades, copyright, or compliance, the less acceptable it is to decide based on one AI score.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The most reliable way to detect Claude 4-generated text is not to trust one &amp;ldquo;latest algorithm&amp;rdquo; tool. Treat detectors as probability signals: cross-check multiple tools, inspect sentence-level highlights, and combine the result with citation checks and writing-process evidence.&lt;/p&gt;
&lt;p&gt;GPTZero, Copyleaks, Turnitin, Originality.ai, Sapling, and Winston AI can all be part of the toolbox. They improve the chance of finding AI-generated text, but they do not replace human judgment. A defensible conclusion should combine detection results, factual quality, process records, and the rules of the specific context.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://guides.turnitin.com/hc/en-us/articles/22774058814093-Using-the-AI-Writing-Report&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Turnitin: Using the AI Writing Report&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.turnitin.com/blog/understanding-the-false-positive-rate-for-sentences-of-our-ai-writing-detection-capability&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Turnitin: Understanding false positive rates&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://copyleaks.com/ai-content-detector&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Copyleaks AI Detector&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://gptzero.me/news/gptzero-ai-detection-benchmarking-the-industry-standard-in-accuracy-transparency-and-fairness/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;GPTZero AI Detection Benchmarking&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://arxiv.org/abs/2602.13042&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;arXiv: GPTZero: Robust Detection of LLM-Generated Texts&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Canonical Ubuntu AI Roadmap: Local Inference First, No Forced Integration</title>
        <link>https://knightli.com/en/2026/05/08/ubuntu-ai-roadmap-local-inference-opt-in/</link>
        <pubDate>Fri, 08 May 2026 22:23:46 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/ubuntu-ai-roadmap-local-inference-opt-in/</guid>
        <description>&lt;p&gt;Canonical&amp;rsquo;s recent Ubuntu AI roadmap is notable less for &amp;ldquo;putting AI everywhere&amp;rdquo; and more for trying a restrained path: AI features are layered, disabled by default, enabled only by explicit user choice, and designed to prefer local inference.&lt;/p&gt;
&lt;p&gt;That stands apart from some of the controversy around system-level AI in Windows and macOS. Ubuntu is not trying to build an unavoidable global AI layer, nor is it promising one universal AI kill switch. Instead, the plan is to expose AI as separate tools, letting users decide whether to install them, enable them, choose a model, and allow data to leave the machine.&lt;/p&gt;
&lt;h2 id=&#34;first-the-timeline-not-ubuntu-2604-lts&#34;&gt;First, the timeline: not Ubuntu 26.04 LTS
&lt;/h2&gt;&lt;p&gt;The roadmap points mainly to Ubuntu 26.10 &amp;ldquo;Questing Quokka&amp;rdquo;, expected on October 9, 2026. Canonical plans to introduce some AI tooling as experimental previews, not as default features in Ubuntu 26.04 LTS.&lt;/p&gt;
&lt;p&gt;That matters. LTS releases are meant for stability, enterprise deployment, and long-term maintenance. It would be unusual to place exploratory desktop AI features into an LTS default experience. A more reasonable path is to test them first in a regular release such as 26.10, gather feedback from developers and early users, and then decide what belongs in later long-term releases.&lt;/p&gt;
&lt;h2 id=&#34;local-inference-first-cloud-only-by-choice&#34;&gt;Local inference first, cloud only by choice
&lt;/h2&gt;&lt;p&gt;One core principle is local inference first. By default, inference should happen on the user&amp;rsquo;s machine. Requests should leave the machine only when the user explicitly configures a cloud provider, a self-hosted server, or an enterprise model service.&lt;/p&gt;
&lt;p&gt;The reason is practical: system-level AI can easily touch command output, logs, file paths, errors, and system configuration. Sending that information to the cloud automatically, even to explain an error, creates obvious privacy and compliance risks.&lt;/p&gt;
&lt;p&gt;So Ubuntu&amp;rsquo;s AI direction is not a cloud AI gateway. It is closer to a pluggable inference layer. Users may choose a local model, an internal company service, or a Canonical-managed service when needed. The important part is avoiding lock-in to one model vendor.&lt;/p&gt;
&lt;h2 id=&#34;ai-cli-start-with-terminal-assistance&#34;&gt;AI CLI: start with terminal assistance
&lt;/h2&gt;&lt;p&gt;One of the first practical features may be the AI Command Line Helper, often referred to as &lt;code&gt;ai-cli&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;It is not meant to replace the shell or automatically run risky commands. Its job is to help users understand commands, logs, systemd units, error output, and system state. For example, it could explain why a service failed to start, or clarify what a command-line flag means.&lt;/p&gt;
&lt;p&gt;This fits Ubuntu&amp;rsquo;s audience well. Many Ubuntu desktop and server users already live in the terminal. Instead of starting with a flashy chat window, it makes sense to put AI into error analysis, command explanation, and operations assistance.&lt;/p&gt;
&lt;p&gt;The safety boundary must be clear. Logs may contain tokens, internal hosts, usernames, file paths, key fragments, or business information. Even with local inference by default, tools should encourage redaction. If a user chooses a cloud backend, the UI must make clear what will be sent.&lt;/p&gt;
&lt;h2 id=&#34;settings-agent-natural-language-system-settings&#34;&gt;Settings Agent: natural-language system settings
&lt;/h2&gt;&lt;p&gt;Another direction is a Settings Agent that lets users query or change system settings in natural language.&lt;/p&gt;
&lt;p&gt;This sounds simple but is easy to get wrong. A mature Settings Agent should not scrape the screen, guess buttons, and simulate clicks. It should use controlled internal APIs: what it can read, what it can change, when confirmation is required, and how failures are rolled back.&lt;/p&gt;
&lt;p&gt;That makes it more likely to be a post-26.10 direction than a complete immediate feature. If done well, it could lower the barrier for normal users to configure desktop Linux. If done too aggressively, it becomes a new security risk.&lt;/p&gt;
&lt;h2 id=&#34;why-not-a-universal-ai-kill-switch&#34;&gt;Why not a universal AI kill switch?
&lt;/h2&gt;&lt;p&gt;Many users worry that once vendors add AI to an operating system, AI appears everywhere and becomes hard to disable. So the natural question is whether Ubuntu should provide a global AI kill switch.&lt;/p&gt;
&lt;p&gt;Canonical&amp;rsquo;s position is that if AI features are opt-in, layered, and independently installable and configurable, a global kill switch is not the first priority. In other words, the design should avoid the pattern of &amp;ldquo;enabled by default, deeply embedded, then users have to disable it.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Whether that is enough depends on implementation. If AI tools are not enabled by default, do not connect to remote services by default, do not collect data automatically, and each feature has clear controls, users should not need to hunt through hidden settings to turn AI off.&lt;/p&gt;
&lt;h2 id=&#34;what-it-means-for-developers-and-enterprises&#34;&gt;What it means for developers and enterprises
&lt;/h2&gt;&lt;p&gt;For developers, AI CLI tools can reduce the time spent reading documentation, parsing logs, and diagnosing system problems. They do not replace engineering judgment; they automate a lot of &amp;ldquo;help me understand this output&amp;rdquo; work.&lt;/p&gt;
&lt;p&gt;For enterprises, local inference and pluggable backends matter more. Many companies cannot send source code, logs, customer data, or infrastructure details to public model services. If Ubuntu can connect system-level AI with local models, private inference services, and enterprise permissions, it may offer useful assistance in compliant environments.&lt;/p&gt;
&lt;p&gt;This is also an opening for Linux desktops and workstations. Windows and macOS can more easily fold AI into vendor ecosystems. Ubuntu&amp;rsquo;s advantage is openness, auditability, replaceability, and self-hosting. If Canonical preserves those principles, AI could strengthen the professional Linux experience.&lt;/p&gt;
&lt;h2 id=&#34;do-not-overread-it&#34;&gt;Do not overread it
&lt;/h2&gt;&lt;p&gt;It is too early to say that Ubuntu will preinstall a specific small model, that Ubuntu 26.04 will include an AI audit mode, or that there will be a fixed &lt;code&gt;ubuntu-ai&lt;/code&gt; command. The clearer public information is about direction, not final product shape.&lt;/p&gt;
&lt;p&gt;The safer reading is this: Canonical is preparing a system-level AI tooling framework for Ubuntu, starting with command-line help, settings assistance, local inference, and backend choice. The default posture is user choice, not vendor choice.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The important part of Ubuntu&amp;rsquo;s AI roadmap is not that Ubuntu is &amp;ldquo;joining the AI wave&amp;rdquo;. It is the attempt to define a more restrained model for AI in open source operating systems: intelligence can become infrastructure, but privacy, control, and user choice must come first.&lt;/p&gt;
&lt;p&gt;If the experimental features in 26.10 live up to those principles, Ubuntu may take a different path from consumer operating systems: AI not as an unavoidable system ad slot, but as a selectable, replaceable, and auditable productivity layer.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.tomshardware.com/software/operating-systems/ubuntus-ai-roadmap-revealed-universal-ai-kill-switch-and-forced-ai-integration-are-not-part-of-the-plan-cloud-tracking-local-inference-and-agentic-system-tools-take-center-stage&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Tom&amp;rsquo;s Hardware: Ubuntu&amp;rsquo;s AI roadmap revealed&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://discourse.ubuntu.com/t/the-future-of-ai-in-ubuntu/81130&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Ubuntu Discourse: The future of AI in Ubuntu&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Codex vs Claude Code: How to Choose Between Two Subagent Designs</title>
        <link>https://knightli.com/en/2026/05/08/codex-vs-claude-code-subagent-design/</link>
        <pubDate>Fri, 08 May 2026 14:14:01 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/codex-vs-claude-code-subagent-design/</guid>
        <description>&lt;p&gt;AI coding tools are paying more attention to subagents. This is not just feature chasing. A single agent eventually hits limits when it has to handle real engineering work.&lt;/p&gt;
&lt;p&gt;If one agent reads code, checks logs, edits implementation, runs tests, analyzes failures, and summarizes results at the same time, the main context quickly becomes noisy. Search results, command output, test logs, and intermediate reasoning get mixed together. Later decisions become less reliable. Work also becomes hard to parallelize: exploration, implementation, verification, and review all sit on one main thread.&lt;/p&gt;
&lt;p&gt;The purpose of subagents is to reduce that pressure. The main session stops doing everything from start to finish and becomes more like a coordinator: define goals, assign work, receive results, and merge them into the final answer. A subagent handles a local piece of work, such as exploration, implementation, verification, or review, and returns a compressed conclusion.&lt;/p&gt;
&lt;p&gt;So a subagent is not “another copy of me.” It is a way to split tangled engineering work into clearer roles.&lt;/p&gt;
&lt;h2 id=&#34;shared-foundations&#34;&gt;Shared Foundations
&lt;/h2&gt;&lt;p&gt;A mature subagent system usually needs four foundations:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Context isolation.&lt;/li&gt;
&lt;li&gt;Role specialization.&lt;/li&gt;
&lt;li&gt;Project and user-level configuration.&lt;/li&gt;
&lt;li&gt;Tool and permission boundaries.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Context isolation comes first. Real repositories produce a lot of intermediate material: dozens of search hits, hundreds of test log lines, noisy command output. If all of that is poured into the main session, the main thread gets confused. A subagent can digest that local process and bring back only the signals that matter.&lt;/p&gt;
&lt;p&gt;Role specialization is just as important. Multi-agent does not mean opening several identical models. Exploration roles should search, read, and summarize. Implementation roles should focus on local code changes. Verification roles should run checks, identify risks, and report clearly.&lt;/p&gt;
&lt;p&gt;Tool and permission boundaries determine whether the system can be used safely. A subagent should not automatically inherit every capability of the main session. A read-only explorer does not need write access. A verifier may not need to change implementation. Background tasks and isolated worktrees need visible boundaries.&lt;/p&gt;
&lt;p&gt;Codex and Claude Code share these concerns, but they take different routes.&lt;/p&gt;
&lt;h2 id=&#34;codex-explicit-delegation&#34;&gt;Codex: Explicit Delegation
&lt;/h2&gt;&lt;p&gt;Codex’s subagent design feels restrained.&lt;/p&gt;
&lt;p&gt;It gives you a controlled, lightweight delegation mechanism around the current main session. When to delegate, who receives the task, and when results are collected are all explicit decisions. The control flow stays in the current task.&lt;/p&gt;
&lt;p&gt;Its traits are clear:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The main session explicitly delegates subwork.&lt;/li&gt;
&lt;li&gt;The role set stays small.&lt;/li&gt;
&lt;li&gt;The main session knows which agent is doing what.&lt;/li&gt;
&lt;li&gt;Results return to the main line for final judgment.&lt;/li&gt;
&lt;li&gt;Collaboration boundaries are transparent.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This works well for teams that care about manual orchestration, predictability, and execution determinism. You can ask an explorer to inspect a call chain, ask a worker to make a bounded change, then let the main session merge the result and decide whether to test further.&lt;/p&gt;
&lt;p&gt;The tradeoff is that orchestration pressure still sits with the main session. The main thread must decide when to split work, how to split it, who should take it, and how to merge the result. For lightweight collaboration this is pleasant; for long-running engineering workflows it can become tiring.&lt;/p&gt;
&lt;h2 id=&#34;claude-code-agents-as-workstations&#34;&gt;Claude Code: Agents as Workstations
&lt;/h2&gt;&lt;p&gt;Claude Code takes a more platform-like route.&lt;/p&gt;
&lt;p&gt;It treats agents as describable, selectable, configurable, memorable, isolated, and background-capable objects. A subagent is not just a helper in a conversation. It is closer to a workstation in an engineering system.&lt;/p&gt;
&lt;p&gt;The system can expose agent lists, use cases, descriptions, and tool boundaries to the model, allowing the model to decide which role should handle a turn. That makes delegation more automatic.&lt;/p&gt;
&lt;p&gt;Several capabilities define this direction.&lt;/p&gt;
&lt;p&gt;First, a role system. Explorer, planner, general-purpose, and verifier roles can carry usage descriptions, tool restrictions, default models, and runtime conditions. A read-only explorer can be prevented from editing files. A planner can focus on architecture. A verifier can focus on checks.&lt;/p&gt;
&lt;p&gt;Second, inheritance and overrides. A subagent is not completely free. It inherits the larger boundary of the main session by default, but can adjust local behavior within allowed rules. The main session defines the big boundary; the agent performs local assembly inside it.&lt;/p&gt;
&lt;p&gt;Third, memory. Memory is not just “remember a few things.” It can have scope. User memory is like long-term preference. Project memory is repository background. Local memory is environment-specific state. This lets some agents avoid relearning the project from scratch.&lt;/p&gt;
&lt;p&gt;Fourth, background work and worktree isolation. Some verification tasks can keep running in the background, while the main thread continues. When stronger isolation is needed, an agent can work in a separate worktree, keeping the project connected but the operation space separated.&lt;/p&gt;
&lt;p&gt;Fifth, plugin ecosystem. If agents are first-class objects, you have to think about distribution, installation, priority, override rules, and safety. Plugin agents can enter the system, but high-risk fields such as permission mode, hooks, and MCP servers should remain guarded.&lt;/p&gt;
&lt;p&gt;This makes Claude Code feel more like an agent runtime than a one-session collaboration tool.&lt;/p&gt;
&lt;h2 id=&#34;the-difference&#34;&gt;The Difference
&lt;/h2&gt;&lt;p&gt;Codex is closer to a controlled delegation tool:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Explicit delegation.&lt;/li&gt;
&lt;li&gt;Lightweight role set.&lt;/li&gt;
&lt;li&gt;Clean control flow.&lt;/li&gt;
&lt;li&gt;Subtasks centered on the current session.&lt;/li&gt;
&lt;li&gt;Good for deterministic, human-orchestrated work.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Claude Code is closer to an engineering workstation system:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Agents are formally modeled.&lt;/li&gt;
&lt;li&gt;Roles are more systematic.&lt;/li&gt;
&lt;li&gt;Memory, background execution, isolation, and plugins are part of the runtime.&lt;/li&gt;
&lt;li&gt;The model can help choose roles.&lt;/li&gt;
&lt;li&gt;Good for long-term projects and platform-like workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The real question is not which one has more features. It is whether you want a subagent to be “a helper I explicitly call” or “a long-lived workstation in the system.”&lt;/p&gt;
&lt;h2 id=&#34;how-to-choose&#34;&gt;How to Choose
&lt;/h2&gt;&lt;p&gt;Choose the Codex style if you value explicit control, lightweight delegation, and safe parallelism inside the current session. It is good for code review, small changes, clearly scoped implementation tasks, and workflows where a human wants to keep the rhythm.&lt;/p&gt;
&lt;p&gt;Choose the Claude Code style if you want systematic roles, long-term memory, background execution, worktree isolation, plugin extension, and a more complete agent runtime.&lt;/p&gt;
&lt;p&gt;Ask two questions:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Are you comfortable with the model choosing who should do the work?&lt;/li&gt;
&lt;li&gt;Do you need a fuller agent runtime?&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If the first question makes you uncomfortable, explicit delegation is likely better. If the second answer is yes, a platform-like workstation system may fit better.&lt;/p&gt;
&lt;h2 id=&#34;practical-advice&#34;&gt;Practical Advice
&lt;/h2&gt;&lt;p&gt;Do not treat subagents as “more models means stronger.” Better practice is:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Give every role a clear task boundary.&lt;/li&gt;
&lt;li&gt;Limit the tools each role can use.&lt;/li&gt;
&lt;li&gt;Ask subagents to return conclusions, not raw logs.&lt;/li&gt;
&lt;li&gt;Keep final decisions in the main session.&lt;/li&gt;
&lt;li&gt;Make background tasks and worktree isolation visible.&lt;/li&gt;
&lt;li&gt;Set clear safety boundaries for plugin agents.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The value of subagents is not quantity. It is clean division of labor, cleaner context, and more stable main-thread decisions.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Codex and Claude Code solve the same problem: one agent cannot comfortably carry all real engineering work. Both recognize the importance of context isolation, role specialization, permissions, and local summarization.&lt;/p&gt;
&lt;p&gt;Codex is more restrained, emphasizing explicit delegation and main-session control. Claude Code is more systematic, treating agents as configurable, memorable, isolated, background-capable workstations that can also enter a plugin ecosystem.&lt;/p&gt;
&lt;p&gt;The choice is not which brand wins. It is whether your workflow needs a controlled collaboration tool or a full agent runtime.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>9Router: Connect Claude Code, Codex, and Cursor to One AI Router</title>
        <link>https://knightli.com/en/2026/05/08/9router-ai-coding-router-token-saver/</link>
        <pubDate>Fri, 08 May 2026 13:41:15 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/9router-ai-coding-router-token-saver/</guid>
        <description>&lt;p&gt;9Router is a local router for AI coding tools. It lets Claude Code, Codex, Cursor, Cline, Copilot, OpenCode, OpenClaw, and similar tools connect to one OpenAI-compatible endpoint, then routes requests to different models and providers.&lt;/p&gt;
&lt;p&gt;It is not trying to be another chat client. It sits between your AI coding tools and model providers, solving a few practical problems: incompatible API formats, manual provider switching, fast token burn from tool output, interrupted work when quotas run out, and messy multi-account configuration.&lt;/p&gt;
&lt;p&gt;According to the project README, 9Router supports 40+ providers and 100+ models. It includes RTK Token Saver, automatic fallback, quota tracking, multi-account rotation, format translation, and request logging. The project is written in JavaScript and uses Node.js, Next.js, React, Tailwind CSS, and LowDB. It is licensed under MIT.&lt;/p&gt;
&lt;h2 id=&#34;what-it-is-good-for&#34;&gt;What It Is Good For
&lt;/h2&gt;&lt;p&gt;9Router is most useful when you use multiple AI coding tools and multiple model sources at the same time.&lt;/p&gt;
&lt;p&gt;Examples:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Claude Code uses a subscription account.&lt;/li&gt;
&lt;li&gt;Codex or Cursor needs a custom OpenAI endpoint.&lt;/li&gt;
&lt;li&gt;Cline, Continue, or RooCode needs an OpenAI-compatible API.&lt;/li&gt;
&lt;li&gt;Free providers are used for experiments.&lt;/li&gt;
&lt;li&gt;GLM, MiniMax, or Kimi is used as a cheaper backup.&lt;/li&gt;
&lt;li&gt;High-quality models are reserved for difficult tasks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Without 9Router, these settings are scattered across many tools. Each tool needs its own endpoint, API key, model name, and fallback plan. 9Router centralizes that into one local routing layer.&lt;/p&gt;
&lt;p&gt;Default local API:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://localhost:20128/v1
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Dashboard:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;http://localhost:20128/dashboard
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;quick-install&#34;&gt;Quick Install
&lt;/h2&gt;&lt;p&gt;For local use, npm is the simplest path:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install -g 9router
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9router
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The dashboard opens locally, and the README uses &lt;code&gt;20128&lt;/code&gt; as the default port.&lt;/p&gt;
&lt;p&gt;Run from source:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/decolua/9router.git
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; 9router
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cp .env.example .env
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PORT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;20128&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;NEXT_PUBLIC_BASE_URL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;http://localhost:20128 npm run dev
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Production mode:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm run build
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;PORT&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;m&#34;&gt;20128&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;HOSTNAME&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;0.0.0.0 &lt;span class=&#34;nv&#34;&gt;NEXT_PUBLIC_BASE_URL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;http://localhost:20128 npm run start
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The npm package requires Node.js &lt;code&gt;&amp;gt;=18.0.0&lt;/code&gt;. For VPS or Docker deployment, configure &lt;code&gt;JWT_SECRET&lt;/code&gt;, &lt;code&gt;INITIAL_PASSWORD&lt;/code&gt;, &lt;code&gt;DATA_DIR&lt;/code&gt;, and &lt;code&gt;API_KEY_SECRET&lt;/code&gt; instead of exposing defaults.&lt;/p&gt;
&lt;h2 id=&#34;connect-coding-tools&#34;&gt;Connect Coding Tools
&lt;/h2&gt;&lt;p&gt;9Router exposes an OpenAI-compatible API, so most tools that support custom OpenAI endpoints can connect to it.&lt;/p&gt;
&lt;p&gt;Typical configuration:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Base URL: http://localhost:20128/v1
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;API Key: copied from the 9Router dashboard
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Model: a model name or combo name configured in 9Router
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For Codex CLI:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;export&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;OPENAI_BASE_URL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;http://localhost:20128&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;export&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;OPENAI_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;your-9router-api-key&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;codex &lt;span class=&#34;s2&#34;&gt;&amp;#34;your prompt&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For Cline, Continue, or RooCode, choose &lt;code&gt;OpenAI Compatible&lt;/code&gt; and set:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Base URL: http://localhost:20128/v1
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;API Key: your-9router-api-key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Model: cc/claude-opus-4-7
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Model names depend on connected providers. The README shows prefixes such as &lt;code&gt;cc/&lt;/code&gt;, &lt;code&gt;cx/&lt;/code&gt;, &lt;code&gt;gh/&lt;/code&gt;, &lt;code&gt;glm/&lt;/code&gt;, &lt;code&gt;minimax/&lt;/code&gt;, &lt;code&gt;kr/&lt;/code&gt;, and &lt;code&gt;vertex/&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;rtk-token-saver&#34;&gt;RTK Token Saver
&lt;/h2&gt;&lt;p&gt;AI coding tools often burn tokens fastest on tool outputs:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;git diff&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;git status&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;grep&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;find&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;ls&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;tree&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;logs&lt;/li&gt;
&lt;li&gt;long file lists&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;9Router includes RTK Token Saver, which compresses these outputs before they are sent to the model. The project says this can save 20%-40% input tokens in many requests.&lt;/p&gt;
&lt;p&gt;The value is that you do not need to change tools or models. The routing layer removes waste before the request reaches the provider. Still, for critical logs or complete file content, test the behavior first and make sure answer quality does not drop.&lt;/p&gt;
&lt;h2 id=&#34;automatic-fallback&#34;&gt;Automatic Fallback
&lt;/h2&gt;&lt;p&gt;9Router can arrange models in priority order:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1. Subscription model
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2. Cheap API
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3. Free provider
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;When the first tier is rate-limited, out of quota, or failing, it can switch to the next one. This reduces manual switching and keeps coding sessions from stopping suddenly.&lt;/p&gt;
&lt;p&gt;Example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1. cc/claude-opus-4-7
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2. glm/glm-5.1
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3. kr/claude-sonnet-4.5
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Fallback changes output consistency. Different models have different style and reasoning quality. For large refactors, protocols, migrations, or other consistency-sensitive work, prefer a fixed model and switch manually only when needed.&lt;/p&gt;
&lt;h2 id=&#34;be-careful-with-free-providers&#34;&gt;Be Careful with Free Providers
&lt;/h2&gt;&lt;p&gt;The README highlights Kiro, OpenCode Free, Vertex, and also notes that some old free tiers have changed or are no longer recommended.&lt;/p&gt;
&lt;p&gt;Always confirm provider policy at the time of use:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Is it really free?&lt;/li&gt;
&lt;li&gt;Is it region-limited?&lt;/li&gt;
&lt;li&gt;Is third-party tool access allowed?&lt;/li&gt;
&lt;li&gt;Can it trigger bans or rate limits?&lt;/li&gt;
&lt;li&gt;Does the free quota expire?&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;9Router manages routing, not upstream terms. Be especially careful when using personal subscriptions, OAuth tokens, or free quotas with automated tools.&lt;/p&gt;
&lt;h2 id=&#34;local-deployment-advice&#34;&gt;Local Deployment Advice
&lt;/h2&gt;&lt;p&gt;For personal use, bind to &lt;code&gt;localhost&lt;/code&gt;. Local tools can reach it, but the internet cannot.&lt;/p&gt;
&lt;p&gt;For VPS or LAN deployment:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Change the default login password.&lt;/li&gt;
&lt;li&gt;Set a strong &lt;code&gt;JWT_SECRET&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Set &lt;code&gt;API_KEY_SECRET&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Put authentication in front of the dashboard.&lt;/li&gt;
&lt;li&gt;Do not expose the dashboard directly to the public internet.&lt;/li&gt;
&lt;li&gt;Require Bearer API keys for &lt;code&gt;/v1/*&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Back up &lt;code&gt;DATA_DIR&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Docker example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker run -d &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  --name 9router &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -p 20128:20128 &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  --env-file ./.env &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -v 9router-data:/app/data &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -v 9router-usage:/root/.9router &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  9router
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Start locally first, verify providers, combos, logs, and model names, then decide whether server deployment is worth it.&lt;/p&gt;
&lt;h2 id=&#34;who-should-use-it&#34;&gt;Who Should Use It
&lt;/h2&gt;&lt;p&gt;9Router is a good fit if you use multiple AI coding tools, multiple providers, subscription plus free or cheap tiers, and want a central fallback policy. It is less useful if you only use one model and one tool.&lt;/p&gt;
&lt;p&gt;Its real value is turning scattered model access into a configurable local routing layer.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;9Router is a local gateway for AI coding tools. It lets Claude Code, Codex, Cursor, Cline, and similar tools talk to &lt;code&gt;http://localhost:20128/v1&lt;/code&gt;, while it handles model selection, format translation, token compression, quota tracking, and fallback.&lt;/p&gt;
&lt;p&gt;It is best for heavy AI coding users who already switch between providers. Start with one tool and one provider, then add accounts and combos gradually.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/decolua/9router&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;9Router GitHub repository&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://9router.com&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;9Router website&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.npmjs.com/package/9router&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;9Router npm package&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>DeepSeek-TUI: Run a DeepSeek Coding Agent in Your Terminal</title>
        <link>https://knightli.com/en/2026/05/08/deepseek-tui-terminal-coding-agent/</link>
        <pubDate>Fri, 08 May 2026 13:41:15 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/deepseek-tui-terminal-coding-agent/</guid>
        <description>&lt;p&gt;DeepSeek-TUI is an AI coding agent that runs in the terminal. It is built around DeepSeek V4 models and starts from the &lt;code&gt;deepseek&lt;/code&gt; command. Inside a keyboard-driven TUI, it can read and edit files, run shell commands, search the web, manage git, connect to MCP servers, and coordinate sub-agents.&lt;/p&gt;
&lt;p&gt;It is closer to a terminal workbench than a simple chat CLI. The goal is not only to send a question to a model, but to combine code reading, file edits, commands, diagnostics, session recovery, and workspace rollback in one local workflow.&lt;/p&gt;
&lt;p&gt;The repository is mainly written in Rust and uses the MIT license. Its GitHub description is: “Coding agent for DeepSeek models that runs in your terminal.”&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who It Is For
&lt;/h2&gt;&lt;p&gt;DeepSeek-TUI fits developers who prefer terminal workflows and want to use DeepSeek models for real local development tasks.&lt;/p&gt;
&lt;p&gt;It is useful when you want to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use DeepSeek models for code changes and project analysis.&lt;/li&gt;
&lt;li&gt;Work without opening a full IDE.&lt;/li&gt;
&lt;li&gt;Let an AI tool read and modify a local workspace.&lt;/li&gt;
&lt;li&gt;Switch between Plan, Agent, and YOLO modes.&lt;/li&gt;
&lt;li&gt;Save sessions and resume long tasks.&lt;/li&gt;
&lt;li&gt;Roll back workspace changes.&lt;/li&gt;
&lt;li&gt;Connect MCP, LSP diagnostics, HTTP/SSE runtime APIs, and skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only need simple Q&amp;amp;A, a web client or lightweight CLI is enough. DeepSeek-TUI is better when the model should become part of your local development loop.&lt;/p&gt;
&lt;h2 id=&#34;installation&#34;&gt;Installation
&lt;/h2&gt;&lt;p&gt;DeepSeek-TUI ships Rust binaries. The common entry command is &lt;code&gt;deepseek&lt;/code&gt;, and the companion TUI binary is &lt;code&gt;deepseek-tui&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Using npm:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;npm install -g deepseek-tui
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --version
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --model auto
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The npm package is an installer and wrapper that downloads prebuilt Rust binaries. It requires Node.js &lt;code&gt;&amp;gt;=18&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Using Cargo:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cargo install deepseek-tui-cli --locked
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cargo install deepseek-tui --locked
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Using Homebrew:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;brew tap Hmbown/deepseek-tui
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;brew install deepseek-tui
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You can also download prebuilt binaries from GitHub Releases. The README lists Linux x64/ARM64, macOS x64/ARM64, and Windows x64 builds.&lt;/p&gt;
&lt;p&gt;Docker:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker run --rm -it &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -e DEEPSEEK_API_KEY &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -v &lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;&lt;span class=&#34;nv&#34;&gt;$PWD&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;:/workspace&amp;#34;&lt;/span&gt; &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  ghcr.io/hmbown/deepseek-tui:latest
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;In mainland China, use npm or Cargo mirrors, or download release binaries manually.&lt;/p&gt;
&lt;h2 id=&#34;configure-the-api-key&#34;&gt;Configure the API Key
&lt;/h2&gt;&lt;p&gt;On first launch, DeepSeek-TUI asks for your DeepSeek API key and saves it to:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;~/.deepseek/config.toml
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;You can also configure it explicitly:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek auth &lt;span class=&#34;nb&#34;&gt;set&lt;/span&gt; --provider deepseek
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek auth status
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Or use an environment variable:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;export&lt;/span&gt; &lt;span class=&#34;nv&#34;&gt;DEEPSEEK_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;YOUR_KEY&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Check the setup:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek doctor
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If the wrong key source is used, run &lt;code&gt;deepseek auth status&lt;/code&gt;. Saved config keys take precedence over the keyring and environment variables.&lt;/p&gt;
&lt;p&gt;Clear a saved key:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek auth clear --provider deepseek
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;auto-mode&#34;&gt;Auto Mode
&lt;/h2&gt;&lt;p&gt;Auto mode:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --model auto
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Inside the TUI:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;/model auto
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Auto mode chooses both:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Model: &lt;code&gt;deepseek-v4-flash&lt;/code&gt; or &lt;code&gt;deepseek-v4-pro&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Thinking: &lt;code&gt;off&lt;/code&gt;, &lt;code&gt;high&lt;/code&gt;, or &lt;code&gt;max&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Before the real request, DeepSeek-TUI makes a small routing call to analyze the latest request and recent context. Simple tasks can stay on Flash with thinking off; coding, debugging, architecture, release, security review, or ambiguous multi-step work can move to Pro or higher thinking.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;auto&lt;/code&gt; is local to DeepSeek-TUI. The upstream API receives the concrete model and thinking setting chosen for that turn. For benchmarks, strict cost control, or fixed behavior, use an explicit model.&lt;/p&gt;
&lt;h2 id=&#34;modes&#34;&gt;Modes
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Mode&lt;/th&gt;
          &lt;th&gt;Use&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Plan&lt;/td&gt;
          &lt;td&gt;Read-only exploration and planning&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Agent&lt;/td&gt;
          &lt;td&gt;Default interactive mode with approval gates&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;YOLO&lt;/td&gt;
          &lt;td&gt;Auto-approve tools in a trusted workspace&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;Plan is for investigation. Agent is safer for everyday coding. YOLO is fast but risky and should only be used in trusted workspaces and low-risk branches.&lt;/p&gt;
&lt;h2 id=&#34;tooling&#34;&gt;Tooling
&lt;/h2&gt;&lt;p&gt;The README lists a broad tool set:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;File reads/writes and apply patch.&lt;/li&gt;
&lt;li&gt;Shell execution.&lt;/li&gt;
&lt;li&gt;Git operations.&lt;/li&gt;
&lt;li&gt;Web search and browse.&lt;/li&gt;
&lt;li&gt;Sub-agents.&lt;/li&gt;
&lt;li&gt;MCP servers.&lt;/li&gt;
&lt;li&gt;LSP diagnostics.&lt;/li&gt;
&lt;li&gt;Session save/resume.&lt;/li&gt;
&lt;li&gt;Workspace rollback.&lt;/li&gt;
&lt;li&gt;Durable task queue.&lt;/li&gt;
&lt;li&gt;HTTP/SSE runtime API.&lt;/li&gt;
&lt;li&gt;Skills system.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;LSP diagnostics are especially useful because errors from rust-analyzer, pyright, typescript-language-server, gopls, clangd, and similar tools can be fed back after edits.&lt;/p&gt;
&lt;p&gt;Workspace rollback uses side-git snapshots and provides &lt;code&gt;/restore&lt;/code&gt; and &lt;code&gt;revert_turn&lt;/code&gt;. It does not touch the repository’s own &lt;code&gt;.git&lt;/code&gt;, but normal git commits are still the safest baseline.&lt;/p&gt;
&lt;h2 id=&#34;common-commands&#34;&gt;Common Commands
&lt;/h2&gt;&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek &lt;span class=&#34;s2&#34;&gt;&amp;#34;explain this function&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --model deepseek-v4-flash &lt;span class=&#34;s2&#34;&gt;&amp;#34;summarize&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --model auto &lt;span class=&#34;s2&#34;&gt;&amp;#34;fix this bug&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --yolo
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek auth &lt;span class=&#34;nb&#34;&gt;set&lt;/span&gt; --provider deepseek
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek doctor
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek doctor --json
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek models
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek sessions
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek resume --last
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek resume &amp;lt;SESSION_ID&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek fork &amp;lt;SESSION_ID&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek serve --http
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek serve --acp
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek pr &amp;lt;N&amp;gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek mcp list
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek mcp validate
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek update
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;zed-and-acp&#34;&gt;Zed and ACP
&lt;/h2&gt;&lt;p&gt;DeepSeek-TUI can run as an Agent Client Protocol server:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;agent_servers&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nt&#34;&gt;&amp;#34;DeepSeek&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;custom&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;command&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;deepseek&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;args&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;[&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;serve&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;--acp&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;],&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &lt;span class=&#34;nt&#34;&gt;&amp;#34;env&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The README notes that the first ACP slice supports new sessions and prompt responses, while tool-backed editing and checkpoint replay are not exposed through ACP yet.&lt;/p&gt;
&lt;h2 id=&#34;configuration-and-providers&#34;&gt;Configuration and Providers
&lt;/h2&gt;&lt;p&gt;User config:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;~/.deepseek/config.toml
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Workspace overlay:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&amp;lt;workspace&amp;gt;/.deepseek/config.toml
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Some sensitive fields, such as &lt;code&gt;api_key&lt;/code&gt;, &lt;code&gt;base_url&lt;/code&gt;, &lt;code&gt;provider&lt;/code&gt;, and &lt;code&gt;mcp_config_path&lt;/code&gt;, are denied in workspace overlays.&lt;/p&gt;
&lt;p&gt;DeepSeek-TUI supports the default &lt;code&gt;deepseek&lt;/code&gt; provider plus NVIDIA NIM, Fireworks, OpenAI-compatible endpoints, SGLang, vLLM, Ollama, and others.&lt;/p&gt;
&lt;p&gt;OpenAI-compatible example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek auth &lt;span class=&#34;nb&#34;&gt;set&lt;/span&gt; --provider openai --api-key &lt;span class=&#34;s2&#34;&gt;&amp;#34;YOUR_OPENAI_COMPATIBLE_API_KEY&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nv&#34;&gt;OPENAI_BASE_URL&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;https://openai-compatible.example/v4&amp;#34;&lt;/span&gt; deepseek --provider openai --model glm-5
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Ollama example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ollama pull deepseek-coder:1.3b
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek --provider ollama --model deepseek-coder:1.3b
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;cost-and-context&#34;&gt;Cost and Context
&lt;/h2&gt;&lt;p&gt;DeepSeek-TUI is designed around DeepSeek V4. The README mentions &lt;code&gt;deepseek-v4-pro&lt;/code&gt; and &lt;code&gt;deepseek-v4-flash&lt;/code&gt;, 1M-token context windows, token usage, cost estimates, and prefix-cache telemetry.&lt;/p&gt;
&lt;p&gt;For light tasks, &lt;code&gt;deepseek-v4-flash&lt;/code&gt; or auto mode may be enough. For complex refactors, long-context debugging, and architecture work, use higher thinking or Pro.&lt;/p&gt;
&lt;p&gt;Pricing and discounts change, so check DeepSeek’s official pricing page and the current TUI cost estimates before relying on numbers.&lt;/p&gt;
&lt;h2 id=&#34;suggested-workflow&#34;&gt;Suggested Workflow
&lt;/h2&gt;&lt;p&gt;Start safely:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Try it in a small test repository.&lt;/li&gt;
&lt;li&gt;Run &lt;code&gt;deepseek doctor&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Use Plan mode for read-only exploration.&lt;/li&gt;
&lt;li&gt;Use Agent mode for small edits.&lt;/li&gt;
&lt;li&gt;Review changes with git diff and tests.&lt;/li&gt;
&lt;li&gt;Learn &lt;code&gt;/restore&lt;/code&gt; and session recovery.&lt;/li&gt;
&lt;li&gt;Use YOLO only in trusted temporary branches.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Do not store API keys in project files. For company code, confirm provider, logging, web search, and compliance rules first.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;DeepSeek-TUI is a full terminal AI coding agent. It brings DeepSeek V4, TUI interaction, tool calls, LSP diagnostics, session recovery, rollback, MCP, and skills into one Rust-based workflow.&lt;/p&gt;
&lt;p&gt;It is not the lightest DeepSeek client, but its strength is moving from chat to executable local development.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/Hmbown/DeepSeek-TUI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek-TUI GitHub repository&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://deepseek-tui.com/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek-TUI website&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.npmjs.com/package/deepseek-tui&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek-TUI npm package&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://platform.deepseek.com/api_keys&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek API Keys&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>goose: An Open Source AI Agent with Desktop, CLI, and API</title>
        <link>https://knightli.com/en/2026/05/08/goose-open-source-ai-agent-desktop-cli-api/</link>
        <pubDate>Fri, 08 May 2026 13:41:15 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/goose-open-source-ai-agent-desktop-cli-api/</guid>
        <description>&lt;p&gt;goose is an open source AI agent that runs on your own machine. It is not limited to code completion; it aims to cover code, research, writing, automation, data analysis, and other tasks. The README positions it as a desktop app, CLI, and API that can serve both normal users and custom workflows.&lt;/p&gt;
&lt;p&gt;The project has moved from &lt;code&gt;block/goose&lt;/code&gt; to the Agentic AI Foundation (AAIF) at the Linux Foundation. The current repository is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;https://github.com/aaif-goose/goose
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;goose is mainly written in Rust and TypeScript and uses the Apache-2.0 license. Its GitHub description says it is an open source, extensible AI agent that goes beyond code suggestions and can install, execute, edit, and test with any LLM.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-it-solves&#34;&gt;What Problem It Solves
&lt;/h2&gt;&lt;p&gt;Many AI coding tools focus on suggestions or local code edits. goose takes a broader view: let an AI agent complete tasks directly on your machine.&lt;/p&gt;
&lt;p&gt;It can be used for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Code changes and tests.&lt;/li&gt;
&lt;li&gt;Local automation.&lt;/li&gt;
&lt;li&gt;Research and writing.&lt;/li&gt;
&lt;li&gt;Data analysis.&lt;/li&gt;
&lt;li&gt;Multi-step workflows.&lt;/li&gt;
&lt;li&gt;Embedding through an API.&lt;/li&gt;
&lt;li&gt;Tool extension through MCP.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only need IDE completion, a Copilot-style tool may be enough. goose is more useful when you want AI inside the local task execution chain.&lt;/p&gt;
&lt;h2 id=&#34;desktop-cli-and-api&#34;&gt;Desktop, CLI, and API
&lt;/h2&gt;&lt;p&gt;goose has three entry points.&lt;/p&gt;
&lt;p&gt;The desktop app supports macOS, Linux, and Windows. It is good for users who prefer a visual interface.&lt;/p&gt;
&lt;p&gt;The CLI fits terminal workflows and local development automation.&lt;/p&gt;
&lt;p&gt;The API lets other systems or internal tools embed goose as an agent runtime.&lt;/p&gt;
&lt;p&gt;Personal users can start with the desktop app or CLI. Teams and workflow builders should also look at the API and custom distribution support.&lt;/p&gt;
&lt;h2 id=&#34;installation&#34;&gt;Installation
&lt;/h2&gt;&lt;p&gt;The README recommends downloading the desktop app:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;https://goose-docs.ai/docs/getting-started/installation
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;CLI install:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;curl -fsSL https://github.com/aaif-goose/goose/releases/download/stable/download_cli.sh &lt;span class=&#34;p&#34;&gt;|&lt;/span&gt; bash
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;GitHub Releases provide builds for multiple platforms. The latest release checked here was &lt;code&gt;v1.33.1&lt;/code&gt;, published on 2026-04-29, with macOS, Linux, Windows, deb, rpm, and Flatpak assets.&lt;/p&gt;
&lt;p&gt;After installation, configure a provider from the official quickstart and test in a low-risk directory first. goose can execute local tasks, so avoid giving it broad permissions in a production repository from the start.&lt;/p&gt;
&lt;h2 id=&#34;providers&#34;&gt;Providers
&lt;/h2&gt;&lt;p&gt;goose supports 15+ providers, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Anthropic&lt;/li&gt;
&lt;li&gt;OpenAI&lt;/li&gt;
&lt;li&gt;Google&lt;/li&gt;
&lt;li&gt;Ollama&lt;/li&gt;
&lt;li&gt;OpenRouter&lt;/li&gt;
&lt;li&gt;Azure&lt;/li&gt;
&lt;li&gt;Bedrock&lt;/li&gt;
&lt;li&gt;other cloud or OpenAI-compatible providers&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It can use API keys, and it can also use existing Claude, ChatGPT, or Gemini subscriptions through ACP.&lt;/p&gt;
&lt;p&gt;ACP is important because many users already pay for subscriptions, but different tools cannot easily reuse them. goose uses ACP providers to bring those subscriptions into an agent workflow.&lt;/p&gt;
&lt;p&gt;Provider policies change quickly. Check whether the access method is allowed, whether there are quotas, and whether it is suitable for company code or sensitive data.&lt;/p&gt;
&lt;h2 id=&#34;mcp-extensions&#34;&gt;MCP Extensions
&lt;/h2&gt;&lt;p&gt;goose supports Model Context Protocol extensions. The README mentions 70+ extensions.&lt;/p&gt;
&lt;p&gt;MCP matters because an agent should not only chat and edit files. Through standard protocol servers, it can connect to documentation, databases, browsers, internal systems, search services, design tools, or project management tools.&lt;/p&gt;
&lt;p&gt;For teams, MCP can become a safer integration layer: expose internal capabilities through explicit interfaces instead of letting the model touch every system directly.&lt;/p&gt;
&lt;h2 id=&#34;difference-from-a-coding-assistant&#34;&gt;Difference from a Coding Assistant
&lt;/h2&gt;&lt;p&gt;goose is not just a code completion tool. It is closer to a local agent runtime.&lt;/p&gt;
&lt;p&gt;Common coding assistants focus on:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Code completion.&lt;/li&gt;
&lt;li&gt;Code explanation.&lt;/li&gt;
&lt;li&gt;Function generation.&lt;/li&gt;
&lt;li&gt;Local editor edits.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;goose emphasizes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Local task execution.&lt;/li&gt;
&lt;li&gt;Multi-step workflows.&lt;/li&gt;
&lt;li&gt;Switchable providers.&lt;/li&gt;
&lt;li&gt;Extensions.&lt;/li&gt;
&lt;li&gt;Desktop and CLI.&lt;/li&gt;
&lt;li&gt;Embeddable API.&lt;/li&gt;
&lt;li&gt;Non-code tasks too.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This also means more complexity. You must think about model configuration, permissions, extensions, workspace scope, logs, and credentials.&lt;/p&gt;
&lt;h2 id=&#34;custom-distributions&#34;&gt;Custom Distributions
&lt;/h2&gt;&lt;p&gt;The repository includes &lt;code&gt;CUSTOM_DISTROS.md&lt;/code&gt;, which explains how to build a custom goose distribution with preconfigured providers, extensions, and branding.&lt;/p&gt;
&lt;p&gt;This is useful for teams:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Preconfigure allowed model providers.&lt;/li&gt;
&lt;li&gt;Connect internal MCP servers.&lt;/li&gt;
&lt;li&gt;Set safety policies and logging.&lt;/li&gt;
&lt;li&gt;Block disallowed external services.&lt;/li&gt;
&lt;li&gt;Apply company branding and onboarding.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Members do not need to configure everything from scratch, and the risk of wrong provider or key setup is reduced.&lt;/p&gt;
&lt;h2 id=&#34;suggested-use&#34;&gt;Suggested Use
&lt;/h2&gt;&lt;p&gt;Start gradually:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Install the desktop app or CLI.&lt;/li&gt;
&lt;li&gt;Configure one known-good provider.&lt;/li&gt;
&lt;li&gt;Run simple tasks in a test directory.&lt;/li&gt;
&lt;li&gt;Observe what it reads and executes.&lt;/li&gt;
&lt;li&gt;Add MCP extensions.&lt;/li&gt;
&lt;li&gt;Try larger repositories later.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Keep a few habits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Commit important changes before agent work.&lt;/li&gt;
&lt;li&gt;Do not store API keys in project files.&lt;/li&gt;
&lt;li&gt;Use high-permission modes only in trusted workspaces.&lt;/li&gt;
&lt;li&gt;Review company data and provider policy first.&lt;/li&gt;
&lt;li&gt;Keep human review for automation results.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;who-should-use-it&#34;&gt;Who Should Use It
&lt;/h2&gt;&lt;p&gt;goose is a good fit if you want a desktop and CLI AI agent, multiple model providers, MCP integration, API embedding, or custom team distributions. It may be heavy if all you need is IDE code completion.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;goose is an open source AI agent under AAIF/Linux Foundation. It provides desktop, CLI, and API entry points, supports 15+ providers, ACP subscription access, and 70+ MCP extensions.&lt;/p&gt;
&lt;p&gt;Its value is not only writing code, but placing models, tools, extensions, and local execution into one agent framework. Start small, define permission and data boundaries, then expand usage.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/aaif-goose/goose&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;goose GitHub repository&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://goose-docs.ai/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;goose documentation&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://goose-docs.ai/docs/getting-started/installation&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;goose installation guide&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://aaif.io/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Agentic AI Foundation&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>DeepSeek V4 Local Private Deployment: Choosing Domestic Chips or Consumer GPU Clusters</title>
        <link>https://knightli.com/en/2026/05/08/deepseek-v4-local-private-deployment/</link>
        <pubDate>Fri, 08 May 2026 09:39:35 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/deepseek-v4-local-private-deployment/</guid>
        <description>&lt;p&gt;After DeepSeek V4 was released, many enterprises started asking one question: can we avoid external APIs and deploy the model in our own data center, private cloud, or dedicated cluster?&lt;/p&gt;
&lt;p&gt;This is a very practical need. Finance, healthcare, government, manufacturing, legal, and R&amp;amp;D teams often cannot send internal documents, code, contracts, tickets, or customer data directly to public cloud models. For these scenarios, DeepSeek V4 is attractive not only because of model capability, but because it gives enterprises an option closer to controllable LLM infrastructure.&lt;/p&gt;
&lt;p&gt;However, local deployment of DeepSeek V4 is not as simple as downloading a model and finding a few GPUs. Especially for very large MoE models such as Pro, total parameter size, active parameters, context length, KV cache, concurrency, and inference framework all directly affect hardware cost. What enterprises really need is not blindly chasing the full version, but first deciding what deployment shape the business actually needs.&lt;/p&gt;
&lt;h2 id=&#34;clarify-the-deployment-goal-first&#34;&gt;Clarify the Deployment Goal First
&lt;/h2&gt;&lt;p&gt;Enterprise local private deployment usually has three goals:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Keep data inside the domain: internal documents, code, customer materials, logs, and knowledge bases do not leave the enterprise environment.&lt;/li&gt;
&lt;li&gt;Make operations stable and controllable: model services, permissions, audit, logs, and upgrade cadence are controlled by the enterprise.&lt;/li&gt;
&lt;li&gt;Reduce long-term cost: for high-frequency calls, local inference may be more controllable than long-term external API purchases.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If only a few employees ask occasional questions, local deployment may not be cost-effective. Private deployment is truly suitable for high-frequency, stable, data-sensitive, and workflow-defined scenarios, such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Internal knowledge-base Q&amp;amp;A.&lt;/li&gt;
&lt;li&gt;Code review and development assistants.&lt;/li&gt;
&lt;li&gt;Customer-service ticket summarization.&lt;/li&gt;
&lt;li&gt;Contract, medical-record, and report analysis.&lt;/li&gt;
&lt;li&gt;Database query assistants.&lt;/li&gt;
&lt;li&gt;Agent workflow automation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These scenarios share the same traits: sensitive data, stable call patterns, and the ability to fit into enterprise governance through permissions and logs.&lt;/p&gt;
&lt;h2 id=&#34;do-not-chase-full-pro-from-day-one&#34;&gt;Do Not Chase Full Pro From Day One
&lt;/h2&gt;&lt;p&gt;Common DeepSeek V4 versions include Pro and Flash. In public materials, Pro targets stronger reasoning and complex Agent tasks, while Flash emphasizes cost and response speed. Enterprises should not assume every workload needs Pro.&lt;/p&gt;
&lt;p&gt;You can split tasks by complexity:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Simple Q&amp;amp;A, summarization, classification, and tag generation: prioritize Flash or smaller models.&lt;/li&gt;
&lt;li&gt;Internal knowledge-base retrieval augmentation: Flash is enough for many cases; RAG, permissions, and retrieval quality matter more.&lt;/li&gt;
&lt;li&gt;Code Agents, complex reasoning, and long-context analysis: then evaluate Pro.&lt;/li&gt;
&lt;li&gt;High-value, low-frequency tasks: Pro can be used, but high concurrency may not be necessary.&lt;/li&gt;
&lt;li&gt;Regular office assistants: there is no need to occupy the most expensive inference resources for long periods.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The advantage of MoE models is that each inference only activates part of the parameters, but this does not mean the hardware pressure is small. Weight storage, expert parallelism, network communication, context cache, and concurrent scheduling are still heavy. With 1M-token-level long context in particular, the real resource consumer is often not a single answer, but long context, multi-user concurrency, and persistent sessions.&lt;/p&gt;
&lt;h2 id=&#34;domestic-chip-route-better-for-enterprise-private-cloud&#34;&gt;Domestic Chip Route: Better for Enterprise Private Cloud
&lt;/h2&gt;&lt;p&gt;If an enterprise already has a domestic compute pool, or has requirements around Xinchuang, compliance, or supply-chain control, it can first evaluate domestic chips such as Ascend and Cambricon.&lt;/p&gt;
&lt;p&gt;The advantages of this route are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Better alignment with localization and supply-chain control requirements.&lt;/li&gt;
&lt;li&gt;Suitable for enterprise data centers, dedicated clouds, and government/enterprise projects.&lt;/li&gt;
&lt;li&gt;Easier to unify permissions, audit, resource isolation, and operations.&lt;/li&gt;
&lt;li&gt;Friendlier to long-term stable services.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;But the domestic chip route also has three practical issues.&lt;/p&gt;
&lt;p&gt;First, framework adaptation. Whether the model can run depends not only on chip compute power, but also on the maturity of the inference framework, operators, communication libraries, quantization formats, MoE expert parallelism, and long-context optimization.&lt;/p&gt;
&lt;p&gt;Second, engineering experience. Enterprises need more than &amp;ldquo;it starts successfully&amp;rdquo;; they need stable services: multi-tenancy, rate limiting, monitoring, failure recovery, gray releases, log audit, and permission isolation all need to be built.&lt;/p&gt;
&lt;p&gt;Third, ecosystem differences. The same model will not have identical performance, accuracy, quantization support, or deployment tools on NVIDIA, Ascend, Cambricon, and other platforms. Before launch, real stress testing is required instead of relying only on nominal compute.&lt;/p&gt;
&lt;p&gt;Therefore, domestic chips are more suitable for enterprises with clear budgets, high compliance requirements, and willingness to invest in platform engineering. It is not the easiest route, but it may be the route that best fits long-term governance.&lt;/p&gt;
&lt;h2 id=&#34;consumer-gpu-clusters-better-for-pilots-and-small-teams&#34;&gt;Consumer GPU Clusters: Better for Pilots and Small Teams
&lt;/h2&gt;&lt;p&gt;If the goal is to validate business value first, a consumer GPU cluster is easier to start with. GPUs such as RTX 4090, RTX 5090, RTX 3090, and RTX 3060 12GB have more community tools, quantized models, and local inference references, so trial-and-error cost is lower.&lt;/p&gt;
&lt;p&gt;The consumer GPU route fits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Internal pilots by R&amp;amp;D teams.&lt;/li&gt;
&lt;li&gt;Knowledge-base Q&amp;amp;A for small and medium businesses.&lt;/li&gt;
&lt;li&gt;Low-concurrency code assistants.&lt;/li&gt;
&lt;li&gt;Offline document processing.&lt;/li&gt;
&lt;li&gt;Internal tools without strict SLA requirements.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;But it also has obvious limits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;VRAM is small, making it hard to host a full large model directly.&lt;/li&gt;
&lt;li&gt;Multi-GPU communication is weak, and cross-machine communication is more troublesome.&lt;/li&gt;
&lt;li&gt;Long-term full-load stability is weaker than server-grade solutions.&lt;/li&gt;
&lt;li&gt;Chassis, power, cooling, drivers, and operations become hidden costs.&lt;/li&gt;
&lt;li&gt;It is not suitable for promising enterprise-grade high availability from the start.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A more realistic approach is to first run Flash, distilled versions, quantized versions, or smaller models on consumer GPUs, get the business workflow working, and then decide whether to migrate to server GPUs or a domestic compute platform after call volume, quality, and data governance have been validated.&lt;/p&gt;
&lt;h2 id=&#34;a-possible-deployment-architecture&#34;&gt;A Possible Deployment Architecture
&lt;/h2&gt;&lt;p&gt;A relatively stable enterprise private architecture can be divided into six layers:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Model layer: DeepSeek V4 Pro, V4 Flash, or smaller distilled models selected by task.&lt;/li&gt;
&lt;li&gt;Inference layer: SGLang, vLLM, llama.cpp, vendor NPU inference stacks, or enterprise self-developed services.&lt;/li&gt;
&lt;li&gt;Gateway layer: unified authentication, rate limiting, audit, model routing, and call logs.&lt;/li&gt;
&lt;li&gt;Knowledge layer: vector database, full-text search, document parsing, permission filtering, and RAG.&lt;/li&gt;
&lt;li&gt;Application layer: customer service, code assistants, document analysis, report Q&amp;amp;A, and Agent workflows.&lt;/li&gt;
&lt;li&gt;Operations layer: monitoring, alerts, cost statistics, gray releases, rollback, and security audit.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The gateway layer and knowledge layer are the easiest to underestimate. Many projects fail not because the model is completely unusable, but because permissions, retrieval, logs, context management, prompt templates, and business workflows were not done well.&lt;/p&gt;
&lt;p&gt;When deploying LLMs internally, enterprises should treat the model as infrastructure, not as an isolated chat page. The real value appears only when the model enters workflows and can stably process the enterprise&amp;rsquo;s own data and tasks.&lt;/p&gt;
&lt;h2 id=&#34;hardware-selection&#34;&gt;Hardware Selection
&lt;/h2&gt;&lt;p&gt;Hardware selection should not only ask &amp;ldquo;can it run&amp;rdquo;; it should also ask &amp;ldquo;can it serve stably&amp;rdquo;.&lt;/p&gt;
&lt;p&gt;You can choose by stage:&lt;/p&gt;
&lt;h3 id=&#34;validation-stage&#34;&gt;Validation Stage
&lt;/h3&gt;&lt;p&gt;The goal is to prove whether the business is worth doing.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use 1-4 consumer GPUs.&lt;/li&gt;
&lt;li&gt;Prioritize Flash, smaller models, distilled models, or quantized models.&lt;/li&gt;
&lt;li&gt;Keep concurrency low and focus on task completion rate.&lt;/li&gt;
&lt;li&gt;Do not promise high availability.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Do not buy large-scale hardware too early at this stage. First confirm whether employees actually use it, whether the business really saves time, and whether answers can enter real workflows.&lt;/p&gt;
&lt;h3 id=&#34;pilot-stage&#34;&gt;Pilot Stage
&lt;/h3&gt;&lt;p&gt;The goal is to let one department or one business line use it steadily.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use 4-16 GPUs or a set of domestic NPU nodes.&lt;/li&gt;
&lt;li&gt;Add a unified gateway, logs, and permission controls.&lt;/li&gt;
&lt;li&gt;Build RAG, document parsing, model routing, and caching.&lt;/li&gt;
&lt;li&gt;Start tracking tokens, concurrency, latency, and failure rate.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;At this stage, operations begin to matter. Model quality is only one part; stability, cost, and data governance are equally important.&lt;/p&gt;
&lt;h3 id=&#34;production-stage&#34;&gt;Production Stage
&lt;/h3&gt;&lt;p&gt;The goal is to enter enterprise-grade service.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use server GPUs, domestic compute clusters, or private-cloud resource pools.&lt;/li&gt;
&lt;li&gt;Build multi-replica deployment, rate limiting, failover, and capacity planning.&lt;/li&gt;
&lt;li&gt;Route models by task: simple tasks use lightweight models, complex tasks use Pro.&lt;/li&gt;
&lt;li&gt;Connect to enterprise identity systems, audit systems, and security policies.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In production, it is not recommended to send every request to the strongest model. Proper model routing usually saves more money than simply adding hardware.&lt;/p&gt;
&lt;h2 id=&#34;choosing-an-inference-framework&#34;&gt;Choosing an Inference Framework
&lt;/h2&gt;&lt;p&gt;Models such as DeepSeek V4 have high requirements for inference frameworks. When MoE, long context, sparse attention, quantization, and multi-GPU parallelism are involved, framework maturity directly affects speed and stability.&lt;/p&gt;
&lt;p&gt;Common choices can be understood this way:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;SGLang&lt;/code&gt;: suitable for teams focused on high-performance inference, Agents, multi-turn tool calls, and complex service orchestration.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;vLLM&lt;/code&gt;: mature ecosystem, suitable for general LLM services, but actual support depends on version and model adaptation progress.&lt;/li&gt;
&lt;li&gt;&lt;code&gt;llama.cpp&lt;/code&gt;: better for small models, quantized models, and edge deployment; not suitable for directly hosting a full very large MoE model.&lt;/li&gt;
&lt;li&gt;Domestic NPU inference stacks: suitable for Xinchuang and domestic compute environments, but operator, quantization, and long-context support must be carefully verified.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Do not choose a framework only by benchmark. Enterprises should test their own real inputs: internal document length, concurrency, average output length, RAG hit rate, number of Agent tool calls, and retry count after failures.&lt;/p&gt;
&lt;h2 id=&#34;data-security-must-be-built-outside-the-model&#34;&gt;Data Security Must Be Built Outside the Model
&lt;/h2&gt;&lt;p&gt;Private deployment does not automatically mean security. Running the model locally only solves part of the question of whether data leaves the enterprise.&lt;/p&gt;
&lt;p&gt;You still need:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Accounts and permissions: different departments can only access their own knowledge bases.&lt;/li&gt;
&lt;li&gt;Log audit: who asked what, which model was called, and which documents were accessed.&lt;/li&gt;
&lt;li&gt;Data masking: customer information, ID numbers, phone numbers, contract amounts, and other sensitive fields must be handled.&lt;/li&gt;
&lt;li&gt;Prompt security: prevent users from bypassing permissions or leaking system prompts through prompts.&lt;/li&gt;
&lt;li&gt;Output review: important scenarios need human review or rule-based review.&lt;/li&gt;
&lt;li&gt;Data lifecycle: uploaded documents, vector indexes, caches, and session records must be deletable.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Enterprise local LLM deployment cannot involve only the algorithm team. Security, legal, operations, and business owners should all participate; otherwise, risks will be exposed after launch.&lt;/p&gt;
&lt;h2 id=&#34;cost-is-more-than-gpus&#34;&gt;Cost Is More Than GPUs
&lt;/h2&gt;&lt;p&gt;The cost of local deployment is often underestimated. Beyond GPUs or NPUs, you also need to count:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Servers, racks, power, cooling, and networking.&lt;/li&gt;
&lt;li&gt;Storage and backup.&lt;/li&gt;
&lt;li&gt;Inference framework adaptation and engineering development.&lt;/li&gt;
&lt;li&gt;Operations monitoring and incident handling.&lt;/li&gt;
&lt;li&gt;Model upgrades, rollback, and compatibility tests.&lt;/li&gt;
&lt;li&gt;Security audit and permission systems.&lt;/li&gt;
&lt;li&gt;Business-side prompts, RAG, and workflow construction.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If call volume is very low, external APIs may be cheaper. If call volume is high, data is sensitive, and workflows are stable, local deployment is more likely to amortize cost.&lt;/p&gt;
&lt;p&gt;A more reasonable strategy is hybrid deployment:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Highly sensitive data goes to local models.&lt;/li&gt;
&lt;li&gt;Low-sensitivity general tasks can use external APIs.&lt;/li&gt;
&lt;li&gt;Simple tasks use small models.&lt;/li&gt;
&lt;li&gt;Complex tasks use DeepSeek V4 Pro.&lt;/li&gt;
&lt;li&gt;High-frequency tasks prioritize caching, retrieval, and model routing optimization.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;recommended-rollout-path&#34;&gt;Recommended Rollout Path
&lt;/h2&gt;&lt;p&gt;Enterprises can proceed in this order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Choose 2-3 high-value scenarios first; do not roll out company-wide.&lt;/li&gt;
&lt;li&gt;Use consumer GPUs or small-scale compute for a PoC.&lt;/li&gt;
&lt;li&gt;Run Flash, distilled models, or quantized models first, and connect RAG and permissions.&lt;/li&gt;
&lt;li&gt;Introduce Pro for comparison tests on complex tasks.&lt;/li&gt;
&lt;li&gt;Record real call volume, latency, failure rate, and time saved by humans.&lt;/li&gt;
&lt;li&gt;Then decide whether to purchase domestic chip clusters or server GPUs.&lt;/li&gt;
&lt;li&gt;Before production, complete gateway, audit, monitoring, rate limiting, and rollback.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;This path is more stable than buying a large cluster from the start. The biggest enterprise risk is not that the model is not strong enough, but that a lot of money is spent before the business workflow is ready to absorb the model capability.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;DeepSeek V4 gives enterprises more room to imagine local private deployment, but it is not simply a &amp;ldquo;local ChatGPT&amp;rdquo;. The real difficulty is engineering: hardware, frameworks, model routing, permissions, RAG, audit, monitoring, and cost control all need to be considered together.&lt;/p&gt;
&lt;p&gt;The domestic chip route better fits enterprises with high compliance requirements and long-term private cloud plans. Consumer GPU clusters are better for pilots and quick validation by small and medium teams. Pro fits complex reasoning and Agent tasks; Flash or smaller models fit many ordinary tasks.&lt;/p&gt;
&lt;p&gt;If you only remember one sentence: DeepSeek V4 private deployment should not start with hardware procurement, but with business scenarios, data boundaries, and call volume. First get the scenario working, then decide whether to use a large model, how large it should be, and what compute platform to use.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://apnews.com/article/deepseek-ai-china-gpt-v4-d2ed33f2521917193616e061674d5f92&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;AP News: DeepSeek launches an update of its AI model&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/blog/deepseekv4&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Hugging Face Blog: DeepSeek-V4&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://www.lmsys.org/blog/2026-04-25-deepseek-v4/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;LMSYS Blog: DeepSeek-V4 on Day 0&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Claude Opus 4.7, Sonnet 4.6, and Haiku 4.5: Differences and Model Selection Guide</title>
        <link>https://knightli.com/en/2026/05/08/anthropic-claude-model-lineup/</link>
        <pubDate>Fri, 08 May 2026 08:19:03 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/08/anthropic-claude-model-lineup/</guid>
        <description>&lt;p&gt;Anthropic&amp;rsquo;s core large language models mainly evolve through the &lt;code&gt;Claude&lt;/code&gt; series. As of May 2026, Claude&amp;rsquo;s mainstream product line has entered the 4.x stage, while still following a three-tier structure: &lt;code&gt;Opus&lt;/code&gt; is for maximum capability, &lt;code&gt;Sonnet&lt;/code&gt; balances performance and cost, and &lt;code&gt;Haiku&lt;/code&gt; focuses on speed and cost effectiveness.&lt;/p&gt;
&lt;p&gt;If you only want a quick rule of thumb, remember this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;For the most complex and demanding reasoning and agentic coding: start with &lt;code&gt;Claude Opus 4.7&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;For most development, writing, analysis, and enterprise API scenarios: &lt;code&gt;Claude Sonnet 4.6&lt;/code&gt; is the safest starting point.&lt;/li&gt;
&lt;li&gt;For high-concurrency, low-latency, cost-sensitive tasks: consider &lt;code&gt;Claude Haiku 4.5&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;current-mainstream-models&#34;&gt;Current Mainstream Models
&lt;/h2&gt;&lt;p&gt;According to Anthropic&amp;rsquo;s official model documentation, the current Claude mainstream models can be understood this way.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th&gt;Positioning&lt;/th&gt;
          &lt;th&gt;Suitable Scenarios&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;Claude Opus 4.7&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;The strongest generally available model, built for complex reasoning and agentic coding&lt;/td&gt;
          &lt;td&gt;Large codebase refactoring, multi-step tasks, complex strategy analysis, work that requires stronger consistency&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;Claude Sonnet 4.6&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;The balance point between speed, capability, and cost, with a 1 million token context window&lt;/td&gt;
          &lt;td&gt;Code generation, long-document analysis, enterprise knowledge work, Agent development, everyday high-quality production tasks&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;Claude Haiku 4.5&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;The fastest and lower-cost small-model tier, while still retaining capabilities close to frontier models&lt;/td&gt;
          &lt;td&gt;Real-time chat, customer support, batch classification, simple code collaboration, high-concurrency API calls&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;There are two naming details worth noting.&lt;/p&gt;
&lt;p&gt;First, the official name is &lt;code&gt;Claude Haiku 4.5&lt;/code&gt;, not &lt;code&gt;Claude 4.5 Haiku&lt;/code&gt;. Second, &lt;code&gt;Claude Mythos Preview&lt;/code&gt; is not a mainstream available model for regular users or developers. It is a controlled research preview related to Project Glasswing, mainly aimed at defensive cybersecurity workflows, and should not be mixed into regular Claude model selection.&lt;/p&gt;
&lt;h2 id=&#34;opus-for-the-hardest-problems&#34;&gt;Opus: For the Hardest Problems
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Opus&lt;/code&gt; is the tier Anthropic uses for its strongest models. The point of &lt;code&gt;Claude Opus 4.7&lt;/code&gt; is not being cheap or the fastest option, but being better suited to complex, multi-step tasks that require repeated verification.&lt;/p&gt;
&lt;p&gt;It is better suited to these situations:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Large code changes across many files.&lt;/li&gt;
&lt;li&gt;Complex system refactoring and architectural reasoning.&lt;/li&gt;
&lt;li&gt;Long-chain Agent tasks.&lt;/li&gt;
&lt;li&gt;Work requiring stronger visual understanding, document understanding, and multi-turn planning.&lt;/li&gt;
&lt;li&gt;Enterprise analysis tasks where mistakes are costly.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If the cost of a single failed task is high, or you want the model to spend more time understanding context before acting, &lt;code&gt;Opus&lt;/code&gt; is usually more worth trying.&lt;/p&gt;
&lt;h2 id=&#34;sonnet-the-default-starting-point-for-most-people&#34;&gt;Sonnet: The Default Starting Point for Most People
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Claude Sonnet 4.6&lt;/code&gt; is better suited as the default entry point. Its positioning is not &amp;ldquo;a lower-end Opus,&amp;rdquo; but rather a way to put sufficiently strong reasoning, coding, visual understanding, long context, and agent planning into a more controllable cost and speed profile.&lt;/p&gt;
&lt;p&gt;For developers, the value of &lt;code&gt;Sonnet 4.6&lt;/code&gt; mainly comes from three points:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;It can handle very long context, making it suitable for codebases, contracts, reports, or multiple documents.&lt;/li&gt;
&lt;li&gt;It is easier to use as a regular model in Claude Code, API, and enterprise scenarios.&lt;/li&gt;
&lt;li&gt;It costs less than Opus, making it more suitable for high-frequency use.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If you do not know which Claude model to start with, &lt;code&gt;Claude Sonnet 4.6&lt;/code&gt; is usually the right beginning. Switch to &lt;code&gt;Opus&lt;/code&gt; only when the task clearly needs stronger capability.&lt;/p&gt;
&lt;h2 id=&#34;haiku-when-fast-and-affordable-matter-more&#34;&gt;Haiku: When Fast and Affordable Matter More
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Claude Haiku 4.5&lt;/code&gt; is the small-model tier, but it should not simply be understood as a &amp;ldquo;weak model.&amp;rdquo; Anthropic positions it as fast and low cost while retaining capabilities close to frontier models.&lt;/p&gt;
&lt;p&gt;It fits these scenarios:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Real-time chat and customer support bots.&lt;/li&gt;
&lt;li&gt;Large-scale short-text classification.&lt;/li&gt;
&lt;li&gt;Low-latency API calls.&lt;/li&gt;
&lt;li&gt;Simple code edits and rapid prototypes.&lt;/li&gt;
&lt;li&gt;Subtask execution in multi-Agent workflows.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If the task itself is clear, the context is not complex, and throughput matters, &lt;code&gt;Haiku&lt;/code&gt; is often more reasonable than blindly using a larger model.&lt;/p&gt;
&lt;h2 id=&#34;claudes-tool-capabilities&#34;&gt;Claude&amp;rsquo;s Tool Capabilities
&lt;/h2&gt;&lt;p&gt;The Claude series is not just a set of chat models. Anthropic now places model capabilities inside multiple products and developer tools.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Claude Code&lt;/code&gt; is a command-line coding tool for developers. It can read codebases, edit files, run commands, and execute tests, making it suitable for sustained engineering work. Its experience depends heavily on the model&amp;rsquo;s code understanding, context management, and tool-calling stability.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Computer Use&lt;/code&gt; lets the model operate a desktop environment through screenshots, mouse actions, and keyboard input. It still needs to be used carefully, and the official documentation emphasizes running it in an isolated environment to avoid mistakes or security risks.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Artifacts&lt;/code&gt; is more of a Claude app-side experience. It can place code, page prototypes, charts, or document outputs into the interface for preview and iteration. It is not a standalone model, but part of the Claude product experience.&lt;/p&gt;
&lt;p&gt;As for terms like &amp;ldquo;Managed Agents&amp;rdquo; or &amp;ldquo;self-evolving Agents,&amp;rdquo; be careful when writing about them. Anthropic is indeed strengthening Agent SDK, Claude Code, long context, tool use, and enterprise workflows, but it should not be described as already having uncontrolled self-evolution capability.&lt;/p&gt;
&lt;h2 id=&#34;access-options&#34;&gt;Access Options
&lt;/h2&gt;&lt;p&gt;Regular users can use Claude through the &lt;code&gt;Claude.ai&lt;/code&gt; web app or mobile apps. Different plans affect available models, usage limits, and features.&lt;/p&gt;
&lt;p&gt;Developers usually have several access options:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Anthropic Console and Claude API.&lt;/li&gt;
&lt;li&gt;Amazon Bedrock.&lt;/li&gt;
&lt;li&gt;Google Cloud Vertex AI.&lt;/li&gt;
&lt;li&gt;Microsoft Foundry.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Specific available models, context windows, pricing, and regional support can change. Before development, it is best to rely on Anthropic&amp;rsquo;s official model documentation and the relevant cloud platform pages.&lt;/p&gt;
&lt;h2 id=&#34;how-to-choose&#34;&gt;How to Choose
&lt;/h2&gt;&lt;p&gt;In actual use, you do not need to chase the strongest model from the beginning. A better approach is to tier model choice by task cost.&lt;/p&gt;
&lt;p&gt;For everyday writing, code generation, long-document analysis, knowledge organization, and most Agent prototypes, start with &lt;code&gt;Claude Sonnet 4.6&lt;/code&gt;. It is usually the best starting point for cost effectiveness and general capability.&lt;/p&gt;
&lt;p&gt;If the task requires stronger complex reasoning, cross-file engineering changes, long-chain planning, or higher reliability, switch to &lt;code&gt;Claude Opus 4.7&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;If the task is simple, high-volume, and latency-sensitive, such as classification, summarization, customer support, or batch processing, put &lt;code&gt;Claude Haiku 4.5&lt;/code&gt; on the shortlist.&lt;/p&gt;
&lt;p&gt;Claude&amp;rsquo;s model line is not simply &amp;ldquo;new versions replacing old versions.&amp;rdquo; It is a toolbox layered by task difficulty, speed, and cost. Choosing the right model matters more than blindly using the most expensive one.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;Anthropic Models Overview: &lt;a class=&#34;link&#34; href=&#34;https://platform.claude.com/docs/en/about-claude/models/overview&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://platform.claude.com/docs/en/about-claude/models/overview&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Introducing Claude Opus 4.7: &lt;a class=&#34;link&#34; href=&#34;https://www.anthropic.com/news/claude-opus-4-7&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.anthropic.com/news/claude-opus-4-7&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Introducing Claude Sonnet 4.6: &lt;a class=&#34;link&#34; href=&#34;https://www.anthropic.com/news/claude-sonnet-4-6&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.anthropic.com/news/claude-sonnet-4-6&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Introducing Claude Haiku 4.5: &lt;a class=&#34;link&#34; href=&#34;https://www.anthropic.com/news/claude-haiku-4-5&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://www.anthropic.com/news/claude-haiku-4-5&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Anthropic Computer Use Tool: &lt;a class=&#34;link&#34; href=&#34;https://docs.anthropic.com/en/docs/build-with-claude/computer-use&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://docs.anthropic.com/en/docs/build-with-claude/computer-use&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>What Is the Difference Between GPT-5.5, GPT-5.5 Instant, GPT-5.5 Thinking, and GPT-5.5 Pro?</title>
        <link>https://knightli.com/en/2026/05/07/gpt-5-5-instant-thinking-pro-differences/</link>
        <pubDate>Thu, 07 May 2026 21:59:33 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/07/gpt-5-5-instant-thinking-pro-differences/</guid>
        <description>&lt;p&gt;OpenAI now separates GPT-5.5 into clearer usage tiers: &lt;code&gt;Instant&lt;/code&gt;, &lt;code&gt;Thinking&lt;/code&gt;, and &lt;code&gt;Pro&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Many people mix up &lt;code&gt;GPT-5.5&lt;/code&gt;, &lt;code&gt;GPT-5.5 Instant&lt;/code&gt;, &lt;code&gt;GPT-5.5 Thinking&lt;/code&gt;, and &lt;code&gt;GPT-5.5 Pro&lt;/code&gt;. The short version: &lt;code&gt;GPT-5.5&lt;/code&gt; is the overall name for this generation of model capabilities. &lt;code&gt;Instant&lt;/code&gt; is the fast everyday model, &lt;code&gt;Thinking&lt;/code&gt; is the deeper reasoning mode, and &lt;code&gt;Pro&lt;/code&gt; is a heavier research-grade mode.&lt;/p&gt;
&lt;h2 id=&#34;quick-comparison&#34;&gt;Quick Comparison
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Name&lt;/th&gt;
          &lt;th&gt;What It Is&lt;/th&gt;
          &lt;th&gt;Best For&lt;/th&gt;
          &lt;th&gt;Speed/Cost&lt;/th&gt;
          &lt;th&gt;Availability&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5&lt;/td&gt;
          &lt;td&gt;Main GPT-5.5 model/family name; in ChatGPT it usually maps to the capability positioning of GPT-5.5 Thinking&lt;/td&gt;
          &lt;td&gt;Complex work, code, research, analysis, tool use&lt;/td&gt;
          &lt;td&gt;Heavier than Instant, but more capable&lt;/td&gt;
          &lt;td&gt;Plus, Pro, Business, Enterprise&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5 Instant&lt;/td&gt;
          &lt;td&gt;Fast default model, replacing GPT-5.3 Instant&lt;/td&gt;
          &lt;td&gt;Daily Q&amp;amp;A, writing, summarization, light coding, quick lookup&lt;/td&gt;
          &lt;td&gt;Fastest and most quota-efficient&lt;/td&gt;
          &lt;td&gt;Gradual rollout to all ChatGPT users&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5 Thinking&lt;/td&gt;
          &lt;td&gt;Deep reasoning mode&lt;/td&gt;
          &lt;td&gt;Hard problems, long-context analysis, complex code, research, document-heavy tasks&lt;/td&gt;
          &lt;td&gt;Slower, but more reliable reasoning&lt;/td&gt;
          &lt;td&gt;Paid users can select it manually&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5 Pro&lt;/td&gt;
          &lt;td&gt;Heavier research-grade mode&lt;/td&gt;
          &lt;td&gt;High-risk or high-precision tasks: law, business, education, data science, scientific analysis&lt;/td&gt;
          &lt;td&gt;Slowest and heaviest, optimized for quality&lt;/td&gt;
          &lt;td&gt;Pro, Business, Enterprise, Edu&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;If you only want one rule:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Fast everyday tasks&lt;/strong&gt;: use &lt;code&gt;GPT-5.5 Instant&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Complex reasoning and code analysis&lt;/strong&gt;: use &lt;code&gt;GPT-5.5 Thinking&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Especially hard, important, or accuracy-sensitive work&lt;/strong&gt;: use &lt;code&gt;GPT-5.5 Pro&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;what-is-gpt-55&#34;&gt;What Is GPT-5.5
&lt;/h2&gt;&lt;p&gt;When people say &lt;code&gt;GPT-5.5&lt;/code&gt; by itself, they usually mean the overall capability of the GPT-5.5 generation, not a single fixed button.&lt;/p&gt;
&lt;p&gt;OpenAI positions GPT-5.5 as a stronger model for real work. Its improvements focus on:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;agentic coding;&lt;/li&gt;
&lt;li&gt;complex code debugging;&lt;/li&gt;
&lt;li&gt;research and synthesis;&lt;/li&gt;
&lt;li&gt;generating documents, spreadsheets, and presentations;&lt;/li&gt;
&lt;li&gt;computer use and cross-tool work;&lt;/li&gt;
&lt;li&gt;sustained reasoning and self-checking in long tasks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In ChatGPT, users do not usually see a vague &lt;code&gt;GPT-5.5&lt;/code&gt; button. They see more specific options: &lt;code&gt;Instant&lt;/code&gt;, &lt;code&gt;Thinking&lt;/code&gt;, and &lt;code&gt;Pro&lt;/code&gt;. So if someone says &amp;ldquo;I am using GPT-5.5,&amp;rdquo; it is worth asking: Instant, Thinking, or Pro?&lt;/p&gt;
&lt;h2 id=&#34;gpt-55-instant-default-fast-everyday-use&#34;&gt;GPT-5.5 Instant: Default, Fast, Everyday Use
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-5.5 Instant&lt;/code&gt; is the new fast default model. OpenAI&amp;rsquo;s official announcement says it begins replacing &lt;code&gt;GPT-5.3 Instant&lt;/code&gt; as the default ChatGPT model and is available in the API as &lt;code&gt;chat-latest&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;It is suitable for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;everyday chat;&lt;/li&gt;
&lt;li&gt;quick Q&amp;amp;A;&lt;/li&gt;
&lt;li&gt;ordinary writing;&lt;/li&gt;
&lt;li&gt;article summarization;&lt;/li&gt;
&lt;li&gt;email rewriting;&lt;/li&gt;
&lt;li&gt;light code explanation;&lt;/li&gt;
&lt;li&gt;simple tables and lists;&lt;/li&gt;
&lt;li&gt;tasks that do not need long reasoning.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Instant&amp;rsquo;s main advantages are speed and default availability. You do not need to manually select a reasoning mode every time, and ordinary questions do not pay a higher latency cost.&lt;/p&gt;
&lt;p&gt;It also changes the default tone: OpenAI emphasizes that GPT-5.5 Instant answers more clearly and concisely, with stronger personalization. For ordinary users, that makes it better as the model you leave open all day.&lt;/p&gt;
&lt;p&gt;The caveat is that Instant is not the strongest mode. For complex math, long code, architecture design, multi-file analysis, or serious research, it may switch to Thinking automatically, or you may need to select Thinking manually.&lt;/p&gt;
&lt;h2 id=&#34;gpt-55-thinking-the-main-mode-for-complex-tasks&#34;&gt;GPT-5.5 Thinking: The Main Mode for Complex Tasks
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-5.5 Thinking&lt;/code&gt; is the reasoning mode better suited to complex tasks.&lt;/p&gt;
&lt;p&gt;It fits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;code debugging;&lt;/li&gt;
&lt;li&gt;architecture design;&lt;/li&gt;
&lt;li&gt;multi-step reasoning;&lt;/li&gt;
&lt;li&gt;long-document analysis;&lt;/li&gt;
&lt;li&gt;academic material organization;&lt;/li&gt;
&lt;li&gt;business scenario planning;&lt;/li&gt;
&lt;li&gt;data-analysis explanation;&lt;/li&gt;
&lt;li&gt;tasks that require comparison, tradeoffs, and verification.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Thinking spends more time reasoning. The OpenAI Help Center says that when GPT-5.5 Thinking or GPT-5.5 Pro starts reasoning, it may first show a short preamble explaining what it plans to do. Users can also add instructions while the model is still thinking to adjust direction early.&lt;/p&gt;
&lt;p&gt;In ChatGPT, when manually choosing Thinking, users can also adjust thinking time. According to the official explanation, Plus and Business users can use &lt;code&gt;Standard&lt;/code&gt; and &lt;code&gt;Extended&lt;/code&gt;; Pro users also have options such as &lt;code&gt;Light&lt;/code&gt; and &lt;code&gt;Heavy&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;My interpretation: Thinking is the default choice for serious work. Whenever a task involves multiple steps, long context, or higher accuracy requirements, it is more suitable than Instant.&lt;/p&gt;
&lt;h2 id=&#34;gpt-55-pro-research-grade-heavier-more-rigorous&#34;&gt;GPT-5.5 Pro: Research-Grade, Heavier, More Rigorous
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-5.5 Pro&lt;/code&gt; is the mode for harder problems and higher-precision work.&lt;/p&gt;
&lt;p&gt;It fits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;legal material analysis;&lt;/li&gt;
&lt;li&gt;business research;&lt;/li&gt;
&lt;li&gt;education and curriculum design;&lt;/li&gt;
&lt;li&gt;data science;&lt;/li&gt;
&lt;li&gt;scientific literature synthesis;&lt;/li&gt;
&lt;li&gt;deep review before high-risk decisions;&lt;/li&gt;
&lt;li&gt;multi-document, multi-constraint, multi-round verification tasks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In the GPT-5.5 announcement, OpenAI says early testers found GPT-5.5 Pro to improve over GPT-5.4 Pro in completeness, structure, accuracy, relevance, and usefulness, especially in business, law, education, and data science.&lt;/p&gt;
&lt;p&gt;The downside is also clear: Pro is slower and heavier, and it is not meant for every small question. It is more like an expert reviewer or research partner than a daily chat entry point.&lt;/p&gt;
&lt;p&gt;Pro also has special tool-support limitations. The OpenAI Help Center says Apps, Memory, Canvas, and image generation are not available in Pro. If your task needs those ChatGPT features, Instant or Thinking may be the better choice.&lt;/p&gt;
&lt;h2 id=&#34;tool-support-differences&#34;&gt;Tool Support Differences
&lt;/h2&gt;&lt;p&gt;According to the OpenAI Help Center, &lt;code&gt;GPT-5.5 Instant&lt;/code&gt; and &lt;code&gt;GPT-5.5 Thinking&lt;/code&gt; support common ChatGPT tools, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Web search;&lt;/li&gt;
&lt;li&gt;Data analysis;&lt;/li&gt;
&lt;li&gt;Image analysis;&lt;/li&gt;
&lt;li&gt;File analysis;&lt;/li&gt;
&lt;li&gt;Canvas;&lt;/li&gt;
&lt;li&gt;Image generation;&lt;/li&gt;
&lt;li&gt;Memory;&lt;/li&gt;
&lt;li&gt;Custom Instructions.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;code&gt;GPT-5.5 Pro&lt;/code&gt; is more focused on research-grade reasoning, but not all ChatGPT tools are available. Pay particular attention:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Apps are unavailable;&lt;/li&gt;
&lt;li&gt;Memory is unavailable;&lt;/li&gt;
&lt;li&gt;Canvas is unavailable;&lt;/li&gt;
&lt;li&gt;image generation is unavailable.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So when choosing a model, do not only ask &amp;ldquo;which one is smarter.&amp;rdquo; Also ask which tools you need.&lt;/p&gt;
&lt;h2 id=&#34;context-window-differences&#34;&gt;Context Window Differences
&lt;/h2&gt;&lt;p&gt;The OpenAI Help Center describes ChatGPT context windows roughly as:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Mode&lt;/th&gt;
          &lt;th&gt;Context Window&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5 Instant&lt;/td&gt;
          &lt;td&gt;Free: 16K; Plus/Business: 32K; Pro/Enterprise: 128K&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5 Thinking&lt;/td&gt;
          &lt;td&gt;Usually 256K when manually selected on paid plans; up to 400K on Pro&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;This means:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Instant is enough for ordinary chat and short documents;&lt;/li&gt;
&lt;li&gt;Thinking is better for multi-file work, multi-round research, and long-codebase analysis;&lt;/li&gt;
&lt;li&gt;for especially long, complex, high-precision tasks, Pro users can use a larger context and heavier reasoning.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;how-to-choose&#34;&gt;How to Choose
&lt;/h2&gt;&lt;h3 id=&#34;everyday-qa&#34;&gt;Everyday Q&amp;amp;A
&lt;/h3&gt;&lt;p&gt;Use &lt;code&gt;GPT-5.5 Instant&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;It is fast, smart enough, and good for quick questions, quick writing, and quick edits.&lt;/p&gt;
&lt;h3 id=&#34;writing-summarizing-email-editing&#34;&gt;Writing, Summarizing, Email Editing
&lt;/h3&gt;&lt;p&gt;Start with &lt;code&gt;GPT-5.5 Instant&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;If the article is long, needs structural rewriting, or requires multiple rounds of proofreading, switch to &lt;code&gt;GPT-5.5 Thinking&lt;/code&gt;.&lt;/p&gt;
&lt;h3 id=&#34;coding-and-debugging&#34;&gt;Coding and Debugging
&lt;/h3&gt;&lt;p&gt;Use &lt;code&gt;Instant&lt;/code&gt; for simple code explanation.&lt;/p&gt;
&lt;p&gt;Use &lt;code&gt;Thinking&lt;/code&gt; for multi-file debugging, architecture design, and complex error analysis. For very difficult long-running engineering problems, consider &lt;code&gt;Pro&lt;/code&gt;.&lt;/p&gt;
&lt;h3 id=&#34;research-and-material-analysis&#34;&gt;Research and Material Analysis
&lt;/h3&gt;&lt;p&gt;Use &lt;code&gt;Thinking&lt;/code&gt; for ordinary material organization.&lt;/p&gt;
&lt;p&gt;For law, business, scientific research, and data science tasks that need higher precision, &lt;code&gt;Pro&lt;/code&gt; is more suitable.&lt;/p&gt;
&lt;h3 id=&#34;tasks-requiring-image-generation-canvas-or-memory&#34;&gt;Tasks Requiring Image Generation, Canvas, or Memory
&lt;/h3&gt;&lt;p&gt;Prefer &lt;code&gt;Instant&lt;/code&gt; or &lt;code&gt;Thinking&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Do not automatically choose &lt;code&gt;Pro&lt;/code&gt;, because Pro does not support some ChatGPT tools.&lt;/p&gt;
&lt;h2 id=&#34;short-conclusion&#34;&gt;Short Conclusion
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;GPT-5.5 Instant&lt;/code&gt; is the everyday default model: fast, clear, quota-efficient, and suitable for most ordinary tasks.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT-5.5 Thinking&lt;/code&gt; is the main mode for complex work: code, research, long documents, analysis, and multi-step reasoning.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT-5.5 Pro&lt;/code&gt; is the high-precision research mode: suitable for harder and more important tasks that need more rigor, but with more limits on speed and tool support.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT-5.5&lt;/code&gt; itself is more like the overall name for this generation. In practice, the real choice is whether you select &lt;code&gt;Instant&lt;/code&gt;, &lt;code&gt;Thinking&lt;/code&gt;, or &lt;code&gt;Pro&lt;/code&gt; in ChatGPT.&lt;/p&gt;
&lt;h2 id=&#34;related-links&#34;&gt;Related Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;GPT-5.5 Instant announcement: &lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/gpt-5-5-instant/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://openai.com/index/gpt-5-5-instant/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;GPT-5.5 announcement: &lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/introducing-gpt-5-5/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://openai.com/index/introducing-gpt-5-5/&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;GPT-5.5 in ChatGPT Help Center: &lt;a class=&#34;link&#34; href=&#34;https://help.openai.com/en/articles/11909943-gpt-53-and-gpt-55-in-chatgpt&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://help.openai.com/en/articles/11909943-gpt-53-and-gpt-55-in-chatgpt&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Awesome Codex Skills: A Community Catalog for Extending Codex CLI</title>
        <link>https://knightli.com/en/2026/05/07/awesome-codex-skills-composio/</link>
        <pubDate>Thu, 07 May 2026 20:19:15 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/07/awesome-codex-skills-composio/</guid>
        <description>&lt;p&gt;ComposioHQ&amp;rsquo;s &lt;a class=&#34;link&#34; href=&#34;https://github.com/ComposioHQ/awesome-codex-skills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;awesome-codex-skills&lt;/a&gt; is a community catalog for Codex CLI skills. Its value is not another pile of prompt templates, but a way to package repeatable workflows into installable, reusable, and maintainable Skills.&lt;/p&gt;
&lt;p&gt;If you already use Codex as part of daily development, this kind of repository is immediately useful: rules, commands, reference materials, and operating steps that you used to explain again and again can be written down once, then reused whenever the matching Skill is invoked.&lt;/p&gt;
&lt;h2 id=&#34;what-this-repository-solves&#34;&gt;What This Repository Solves
&lt;/h2&gt;&lt;p&gt;Codex Skills can be understood as specialized work modes for Codex CLI. A normal prompt is good for one temporary instruction; a Skill is better for something you want to reuse over time.&lt;/p&gt;
&lt;p&gt;For example, you may often need to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;generate commit messages in a fixed format;&lt;/li&gt;
&lt;li&gt;look up a specific family of API documentation;&lt;/li&gt;
&lt;li&gt;run project-specific test and deployment commands;&lt;/li&gt;
&lt;li&gt;rewrite articles, translate docs, or organize notes according to team rules;&lt;/li&gt;
&lt;li&gt;call external tools for repetitive development tasks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Typing these instructions every time quickly becomes overhead. A Skill puts the rules into a standalone directory. The core is usually a &lt;code&gt;SKILL.md&lt;/code&gt; file, sometimes accompanied by scripts, templates, reference documents, or assets. When Codex is triggered, it reads the instructions and follows the workflow described there.&lt;/p&gt;
&lt;h2 id=&#34;how-it-differs-from-a-prompt&#34;&gt;How It Differs From a Prompt
&lt;/h2&gt;&lt;p&gt;A prompt is more like a one-off instruction: &amp;ldquo;do this task this way.&amp;rdquo; A Skill is closer to a small operating manual: &amp;ldquo;whenever this class of task appears, work in this way.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Its main advantages are:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;&lt;strong&gt;Reusable&lt;/strong&gt;: common workflows no longer need copy-and-paste setup.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Reviewable&lt;/strong&gt;: skill files are usually local Markdown files that can be opened, edited, and versioned.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Extensible&lt;/strong&gt;: complex skills can include scripts, templates, and references, not just natural language instructions.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;That is why catalogs like &lt;code&gt;awesome-codex-skills&lt;/code&gt; are useful: they help you discover existing skills, then adapt them to your own workflow.&lt;/p&gt;
&lt;h2 id=&#34;installation-and-use&#34;&gt;Installation and Use
&lt;/h2&gt;&lt;p&gt;The repository provides an installation script and also supports manual installation. A typical flow is:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;git clone https://github.com/ComposioHQ/awesome-codex-skills.git
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;cd&lt;/span&gt; awesome-codex-skills
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;python install.py
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you only want to try a few skills, read the &lt;code&gt;SKILL.md&lt;/code&gt; in each skill directory first. Check what it reads, what scripts it may run, what files it may edit, and whether the defaults fit your local environment.&lt;/p&gt;
&lt;p&gt;After installation, Codex can match skills when the task calls for them, or you can name a skill explicitly. For long-term use, the most practical approach is often to install a community skill first, then rewrite the instructions around your own project conventions.&lt;/p&gt;
&lt;h2 id=&#34;which-skills-are-worth-watching&#34;&gt;Which Skills Are Worth Watching
&lt;/h2&gt;&lt;p&gt;The most valuable skills are not necessarily the ones with the flashiest names. They are the ones that reliably remove repeated work.&lt;/p&gt;
&lt;p&gt;I would first look at:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Development workflow skills&lt;/strong&gt;: review, testing, commits, releases, dependency checks.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Documentation skills&lt;/strong&gt;: rewriting, translation, summarization, structured organization.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Tool integration skills&lt;/strong&gt;: connecting Codex to external services, APIs, and CLI tools.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Project convention skills&lt;/strong&gt;: encoding team rules, directory structure, naming conventions, and deployment steps.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If a skill merely wraps a single sentence prompt, it has limited value. If it can connect research, judgment, execution, verification, and output into a stable workflow, it is worth keeping.&lt;/p&gt;
&lt;h2 id=&#34;what-to-watch-out-for&#34;&gt;What to Watch Out For
&lt;/h2&gt;&lt;p&gt;Community skills are convenient, but they should not be treated as black boxes. This is especially true for Skills that include scripts. Before installing one, check:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;what &lt;code&gt;SKILL.md&lt;/code&gt; asks Codex to do;&lt;/li&gt;
&lt;li&gt;whether it includes scripts that access the network, read or write files, or call external services;&lt;/li&gt;
&lt;li&gt;whether the default paths, commands, and permissions fit your machine.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;A Skill expands what Codex can do. Written well, it makes Codex feel more like a teammate who knows your project. Written carelessly, it can bring unsuitable rules into your workflow. The best pattern is not to install many skills, but to keep a small set, tune them carefully, and maintain them over time.&lt;/p&gt;
&lt;h2 id=&#34;my-take&#34;&gt;My Take
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;awesome-codex-skills&lt;/code&gt; is worth bookmarking, especially if you already use Codex CLI for real development, documentation, or automation work. It is not an official capability by itself; it is a community entry point for finding and adapting reusable workflows.&lt;/p&gt;
&lt;p&gt;For heavy users, the point of Codex Skills is not simply helping AI remember more. It is helping AI make fewer detours on repeated tasks. Writing rules as Skills turns temporary instructions into reusable working infrastructure.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>How ChatGPT, Claude Code, and Gemini memory mechanisms differ</title>
        <link>https://knightli.com/en/2026/05/07/chatgpt-claude-code-gemini-memory-comparison/</link>
        <pubDate>Thu, 07 May 2026 14:47:17 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/07/chatgpt-claude-code-gemini-memory-comparison/</guid>
        <description>&lt;p&gt;&amp;ldquo;Memory&amp;rdquo; is becoming increasingly important in AI products. It marks the shift from one-off conversations to long-term collaboration: you do not need to reintroduce your background, repeat your preferences, or ask the model to understand the same project again and again.&lt;/p&gt;
&lt;p&gt;But memory does not mean the same thing in every product. &lt;code&gt;ChatGPT&lt;/code&gt;, &lt;code&gt;Claude Code&lt;/code&gt;, and &lt;code&gt;Gemini&lt;/code&gt; all try to help AI remember longer, but their goals, storage locations, transparency, and use cases are very different.&lt;/p&gt;
&lt;p&gt;As of May 7, 2026, they can be roughly understood as three types:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;ChatGPT is more like personal assistant memory.&lt;/li&gt;
&lt;li&gt;Claude Code is more like engineering project memory.&lt;/li&gt;
&lt;li&gt;Gemini is more like Google ecosystem context.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;chatgpt-long-term-preferences-around-the-person&#34;&gt;ChatGPT: long-term preferences around the person
&lt;/h2&gt;&lt;p&gt;ChatGPT memory is mainly designed for personal collaboration. It cares about who you are, what you prefer, and what you work on over time.&lt;/p&gt;
&lt;p&gt;OpenAI currently separates ChatGPT memory into &lt;code&gt;saved memories&lt;/code&gt; and &lt;code&gt;chat history&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;saved memories&lt;/code&gt; are important pieces of information ChatGPT stores, such as your name, preferences, goals, common tech stack, and writing habits. You can explicitly ask it to remember something, and it may also save information from conversation when it thinks it will be useful later.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;chat history&lt;/code&gt; lets ChatGPT reference past conversations when answering. It does not mean every chat becomes a permanent memory. Instead, ChatGPT can search past conversations for relevant context when needed.&lt;/p&gt;
&lt;p&gt;So ChatGPT&amp;rsquo;s core logic is: understand the same user across sessions.&lt;/p&gt;
&lt;p&gt;Typical examples include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&amp;ldquo;Keep code examples concise for me.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;&amp;ldquo;I mainly use Python and TypeScript.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;&amp;ldquo;I am writing a Hugo blog about AI tools.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;&amp;ldquo;I prefer conclusions first, then details.&amp;rdquo;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These memories are not bound to one project. They follow the account and the user&amp;rsquo;s working habits.&lt;/p&gt;
&lt;h2 id=&#34;memory-sources-making-personalization-more-visible&#34;&gt;Memory Sources: making personalization more visible
&lt;/h2&gt;&lt;p&gt;OpenAI emphasized &lt;code&gt;Memory sources&lt;/code&gt; in its May 2026 update.&lt;/p&gt;
&lt;p&gt;The purpose is not to add another type of memory, but to show users what sources ChatGPT referenced when personalizing a response. According to OpenAI help documents, Memory Sources may show:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Past chats.&lt;/li&gt;
&lt;li&gt;Saved memories.&lt;/li&gt;
&lt;li&gt;Custom instructions.&lt;/li&gt;
&lt;li&gt;Files in the file library.&lt;/li&gt;
&lt;li&gt;Emails from connected Gmail.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Files and Gmail visibility depend on plan, region, and connection status. OpenAI also states that Memory sources may not show every factor that influenced a response, but they help users understand and manage personalization.&lt;/p&gt;
&lt;p&gt;This matters. The more AI can &amp;ldquo;remember you,&amp;rdquo; the more users need to know what it used to answer. Otherwise personalization becomes a black box: it seems to know you, but you do not know why.&lt;/p&gt;
&lt;p&gt;ChatGPT&amp;rsquo;s advantage is cross-session, cross-topic understanding of personal preferences. The risk is that memories can become outdated, or users may forget an old memory is still affecting answers. It is worth periodically cleaning saved memories and old chats.&lt;/p&gt;
&lt;h2 id=&#34;claude-code-around-codebases-and-engineering-rules&#34;&gt;Claude Code: around codebases and engineering rules
&lt;/h2&gt;&lt;p&gt;Claude Code memory is more engineering-oriented. It cares less about a user&amp;rsquo;s everyday preferences and more about how this codebase should be changed.&lt;/p&gt;
&lt;p&gt;Claude Code has two memory mechanisms that are easy to confuse:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Explicit project memory: &lt;code&gt;CLAUDE.md&lt;/code&gt;.&lt;/li&gt;
&lt;li&gt;Automatic project memory: Auto Memory.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;code&gt;CLAUDE.md&lt;/code&gt; is the most basic and stable project memory file. It can live at the project root or inside subdirectories. Claude Code reads these files as project instructions and operating rules.&lt;/p&gt;
&lt;p&gt;Good content for &lt;code&gt;CLAUDE.md&lt;/code&gt; includes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Common build, test, and lint commands.&lt;/li&gt;
&lt;li&gt;Code style and naming rules.&lt;/li&gt;
&lt;li&gt;Project architecture notes.&lt;/li&gt;
&lt;li&gt;Module boundaries and risky areas.&lt;/li&gt;
&lt;li&gt;Team conventions and commit workflow.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If &lt;code&gt;CLAUDE.md&lt;/code&gt; is stored in the repository, it can be committed to Git and shared as a team agent guide. This is completely different from ChatGPT&amp;rsquo;s cloud-based personal memory.&lt;/p&gt;
&lt;h2 id=&#34;claude-code-auto-memory-accumulating-project-experience&#34;&gt;Claude Code Auto Memory: accumulating project experience
&lt;/h2&gt;&lt;p&gt;Claude Code also has &lt;code&gt;Auto Memory&lt;/code&gt;. Its goal is to let Claude automatically accumulate project knowledge across sessions without requiring users to write every note manually.&lt;/p&gt;
&lt;p&gt;According to Claude Code documentation, Auto Memory lets Claude save notes while working, such as build commands, debugging discoveries, architecture notes, code style preferences, and workflow habits. It does not save every session, but judges what may be useful later.&lt;/p&gt;
&lt;p&gt;One common misconception is that Auto Memory writes by default to &lt;code&gt;.claude/memory.md&lt;/code&gt; in the project root. Official documentation says each project has its own memory directory under the user&amp;rsquo;s home directory, with a path like:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;~/.claude/projects/&amp;lt;project&amp;gt;/memory/
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;MEMORY.md&lt;/code&gt; loads the first 200 lines or 25KB at the start of each conversation, while detailed content may be split into other topic files. Auto Memory files are local Markdown files, and users can view, edit, or delete them through &lt;code&gt;/memory&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;This makes Claude Code memory more like a local project knowledge base. It is closer to the codebase than ChatGPT&amp;rsquo;s personal memory, and more dynamic than a plain &lt;code&gt;CLAUDE.md&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;But Auto Memory is local to the machine. It does not naturally follow the repository to other machines or cloud environments. For team-shared stable rules, put them in the repository&amp;rsquo;s &lt;code&gt;CLAUDE.md&lt;/code&gt;.&lt;/p&gt;
&lt;h2 id=&#34;gemini-around-google-ecosystem-context&#34;&gt;Gemini: around Google ecosystem context
&lt;/h2&gt;&lt;p&gt;Gemini&amp;rsquo;s memory logic is different again.&lt;/p&gt;
&lt;p&gt;Gemini also supports saved information and past-chat references. Google help documents say users can save information about life, work, or preferences, and Gemini can reference past chats before answering. When it uses this information, the response may show sources such as &lt;code&gt;Your saved info&lt;/code&gt; or &lt;code&gt;Previous chats&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;But Gemini&amp;rsquo;s differentiation is not only &amp;ldquo;saving a few preferences.&amp;rdquo; It is Google ecosystem integration.&lt;/p&gt;
&lt;p&gt;With user authorization and feature availability, Gemini can access context from connected Google apps such as Gmail, Google Drive, Docs, and Sheets. Its advantage is not making users teach it every item manually, but turning existing Google account data into searchable work context.&lt;/p&gt;
&lt;p&gt;A typical difference:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;ChatGPT remembers: &amp;ldquo;I have been repairing an LTO tape drive recently.&amp;rdquo;&lt;/li&gt;
&lt;li&gt;Gemini may find the purchase confirmation email in Gmail or read repair notes from Drive.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This does not mean Gemini can unconditionally read all Google data. It depends on account type, region, permissions, connected apps, Keep Activity settings, and product availability. Enterprise and school accounts may also be controlled by Google Workspace administrators.&lt;/p&gt;
&lt;p&gt;More accurately, Gemini memory is a combination of saved info, past chats, and connected Google ecosystem data.&lt;/p&gt;
&lt;h2 id=&#34;core-differences&#34;&gt;Core differences
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Dimension&lt;/th&gt;
          &lt;th&gt;ChatGPT&lt;/th&gt;
          &lt;th&gt;Claude Code&lt;/th&gt;
          &lt;th&gt;Gemini&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Core object&lt;/td&gt;
          &lt;td&gt;Person and preferences&lt;/td&gt;
          &lt;td&gt;Project and codebase&lt;/td&gt;
          &lt;td&gt;Google account and ecosystem data&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Typical memory&lt;/td&gt;
          &lt;td&gt;Preferences, background, long-term goals&lt;/td&gt;
          &lt;td&gt;Architecture, commands, conventions, debugging experience&lt;/td&gt;
          &lt;td&gt;Saved info, past chats, Gmail/Drive/Docs context&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Storage form&lt;/td&gt;
          &lt;td&gt;Memory and chat context in OpenAI account&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;CLAUDE.md&lt;/code&gt;, &lt;code&gt;MEMORY.md&lt;/code&gt;, local Markdown files&lt;/td&gt;
          &lt;td&gt;Google account activity, saved info, connected app data&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Transparency&lt;/td&gt;
          &lt;td&gt;Memory sources show part of the source&lt;/td&gt;
          &lt;td&gt;Markdown files can be opened and edited&lt;/td&gt;
          &lt;td&gt;Managed through source prompts, Gemini Apps Activity, and Google settings&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Cross-project ability&lt;/td&gt;
          &lt;td&gt;Strong, follows user account&lt;/td&gt;
          &lt;td&gt;Weak, mainly follows project or local project memory&lt;/td&gt;
          &lt;td&gt;Strong, depends on Google data and permissions&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Team sharing&lt;/td&gt;
          &lt;td&gt;Not suitable for direct sharing&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;CLAUDE.md&lt;/code&gt; can be shared through Git&lt;/td&gt;
          &lt;td&gt;Mainly depends on Workspace and permissions&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Best for&lt;/td&gt;
          &lt;td&gt;Personal preferences and long-term assistant behavior&lt;/td&gt;
          &lt;td&gt;Long-term coding projects and agent collaboration&lt;/td&gt;
          &lt;td&gt;Google Workspace retrieval and cross-tool work&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;how-to-choose&#34;&gt;How to choose
&lt;/h2&gt;&lt;p&gt;If you want AI to remember who you are, what style you prefer, and how you usually work, ChatGPT memory is more suitable.&lt;/p&gt;
&lt;p&gt;It is good for saving personal preferences such as writing style, tech stack, answer format, professional background, and long-term project direction. Its focus is reducing self-introduction cost so each new conversation can start faster.&lt;/p&gt;
&lt;p&gt;If you want AI to remember how a codebase should be changed, which commands work, and which traps to avoid, Claude Code is more suitable.&lt;/p&gt;
&lt;p&gt;Put stable rules into &lt;code&gt;CLAUDE.md&lt;/code&gt; for team sharing. Let Auto Memory assist with dynamic experience. Important decisions should still be organized into documentation or &lt;code&gt;CLAUDE.md&lt;/code&gt;, not left only in local automatic memory.&lt;/p&gt;
&lt;p&gt;If most of your materials live in Gmail, Drive, Docs, and Sheets, Gemini&amp;rsquo;s ecosystem context has an advantage.&lt;/p&gt;
&lt;p&gt;It is useful for finding old emails, organizing Drive documents, and connecting calendar and office materials. The key to using Gemini is not repeatedly reminding it in chat, but making sure the relevant app connections, permissions, and activity settings are correct.&lt;/p&gt;
&lt;h2 id=&#34;a-practical-division-of-labor&#34;&gt;A practical division of labor
&lt;/h2&gt;&lt;p&gt;You can divide them like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;ChatGPT remembers general personal preferences.&lt;/li&gt;
&lt;li&gt;Claude Code remembers engineering knowledge for a repository.&lt;/li&gt;
&lt;li&gt;Gemini retrieves materials from your Google ecosystem.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In other words, ChatGPT is like a personal secretary, Claude Code is like a senior engineer inside the project, and Gemini is like an indexer for your Google account.&lt;/p&gt;
&lt;p&gt;There is no absolute winner. They have different goals.&lt;/p&gt;
&lt;p&gt;The biggest mistake is mixing them together. Personal preferences do not always belong in project memory; project architecture does not always belong in cloud personal memory; and Google ecosystem retrieval does not mean the model has truly understood you long-term.&lt;/p&gt;
&lt;h2 id=&#34;short-take&#34;&gt;Short Take
&lt;/h2&gt;&lt;p&gt;The next stage of AI memory is not simply &amp;ldquo;remember more.&amp;rdquo; Memory needs layers, visibility, and control.&lt;/p&gt;
&lt;p&gt;ChatGPT focuses on cross-session personalization. Claude Code focuses on code project continuity. Gemini focuses on Google ecosystem context. Good long-term AI collaboration does not put all information into one black box; it keeps different kinds of memory in the right places.&lt;/p&gt;
&lt;p&gt;Put personal preferences in personal memory, engineering rules in the codebase, and historical materials in the original document and email systems. AI&amp;rsquo;s job is to call the right context when needed, not mix everything into one pile.&lt;/p&gt;
&lt;h2 id=&#34;links&#34;&gt;Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;OpenAI Memory FAQ: &lt;a class=&#34;link&#34; href=&#34;https://help.openai.com/en/articles/8590148-memory-faq&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://help.openai.com/en/articles/8590148-memory-faq&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;ChatGPT Release Notes: &lt;a class=&#34;link&#34; href=&#34;https://help.openai.com/en/articles/6825453-chatgpt-release-notes&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://help.openai.com/en/articles/6825453-chatgpt-release-notes&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Claude Code Memory: &lt;a class=&#34;link&#34; href=&#34;https://code.claude.com/docs/en/memory&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://code.claude.com/docs/en/memory&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Gemini Saved info: &lt;a class=&#34;link&#34; href=&#34;https://support.google.com/gemini/answer/15637730&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://support.google.com/gemini/answer/15637730&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Gemini Apps Privacy Hub: &lt;a class=&#34;link&#34; href=&#34;https://support.google.com/gemini/answer/13594961&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://support.google.com/gemini/answer/13594961&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>What ChatGPT Release Notes reveal about OpenAI&#39;s product rhythm</title>
        <link>https://knightli.com/en/2026/05/07/chatgpt-release-notes-product-rhythm/</link>
        <pubDate>Thu, 07 May 2026 14:31:22 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/07/chatgpt-release-notes-product-rhythm/</guid>
        <description>&lt;p&gt;OpenAI&amp;rsquo;s &lt;code&gt;ChatGPT Release Notes&lt;/code&gt; page is a direct way to observe the product rhythm of ChatGPT. The page continuously records changes to ChatGPT models, features, account security, app integrations, and client experience.&lt;/p&gt;
&lt;p&gt;As of May 7, 2026, the page shows the latest update as &amp;ldquo;yesterday,&amp;rdquo; with the newest entries concentrated on May 5, 2026. They may look like ordinary updates, but together they show where ChatGPT is heading: a more reliable default model, more controllable memory, deeper office workflows, and stronger account security.&lt;/p&gt;
&lt;h2 id=&#34;latest-focus-one-memory-sources-become-visible&#34;&gt;Latest focus one: memory sources become visible
&lt;/h2&gt;&lt;p&gt;The first May 5 update is about ChatGPT memory improvements.&lt;/p&gt;
&lt;p&gt;OpenAI says Plus and Pro users will gradually receive more personalized and continuous responses. ChatGPT can better use past chats, saved memories, available files, and connected Gmail context to provide more tailored suggestions, recommendations, and next steps.&lt;/p&gt;
&lt;p&gt;The value of this capability becomes clear in long-term use. If a user is working on a project, writing a series of posts, following a set of emails, or repeatedly handling similar work, the most annoying part is re-explaining the background every time. Stronger memory is meant to reduce that repetition.&lt;/p&gt;
&lt;p&gt;But the stronger memory becomes, the more users need to know what context the model used. That is why OpenAI is introducing &lt;code&gt;memory sources&lt;/code&gt;. Users can see relevant saved memories, past chats, custom instructions, and, in certain cases, referenced files and Gmail messages under a response.&lt;/p&gt;
&lt;p&gt;If information is outdated, inaccurate, or no longer relevant, users can correct it, delete it, or mark it as not relevant.&lt;/p&gt;
&lt;h2 id=&#34;personalization-is-not-just-knowing-you-better&#34;&gt;Personalization is not just &amp;ldquo;knowing you better&amp;rdquo;
&lt;/h2&gt;&lt;p&gt;When people talk about AI personalization, they often focus only on whether the model understands them better. But sustainable personalization must answer three questions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Can users see what the model referenced?&lt;/li&gt;
&lt;li&gt;Can users edit or delete that information?&lt;/li&gt;
&lt;li&gt;Can users turn memory off when they do not need it?&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The release notes clearly say memory sources are only shown inside the user&amp;rsquo;s own account experience, and are not exposed when a chat is shared. Users can also delete chats, use temporary chats, turn memory off, disconnect apps, and manage whether content is used to improve models.&lt;/p&gt;
&lt;p&gt;This shows OpenAI is not only adding personalization capability. It is also adding control surfaces. For a long-term assistant, that step matters.&lt;/p&gt;
&lt;h2 id=&#34;latest-focus-two-gpt-55-instant-becomes-the-default-model&#34;&gt;Latest focus two: GPT-5.5 Instant becomes the default model
&lt;/h2&gt;&lt;p&gt;On the same day, OpenAI also began rolling out &lt;code&gt;GPT-5.5 Instant&lt;/code&gt; as ChatGPT&amp;rsquo;s new default model, replacing &lt;code&gt;GPT-5.3 Instant&lt;/code&gt; for all users.&lt;/p&gt;
&lt;p&gt;The release notes describe the model update in practical terms: more accurate, clearer, more concise, better at image understanding and STEM questions, and better at deciding when to use web search.&lt;/p&gt;
&lt;p&gt;Default model updates have a large impact. Most users do not switch models every day. The ChatGPT quality they feel is the quality of the default model. If the default model has fewer hallucinations, less filler, and fewer pointless follow-up questions, the actual experience improves noticeably.&lt;/p&gt;
&lt;p&gt;OpenAI also says GPT-5.5 Instant reduces overformatting and unnecessary decorative content. This may seem small, but it is close to everyday use. Many users do not need a fully structured essay. They need an accurate, direct, actionable answer.&lt;/p&gt;
&lt;p&gt;Paid users can continue using GPT-5.3 Instant for three months before it is retired.&lt;/p&gt;
&lt;h2 id=&#34;latest-focus-three-chatgpt-enters-excel-and-google-sheets&#34;&gt;Latest focus three: ChatGPT enters Excel and Google Sheets
&lt;/h2&gt;&lt;p&gt;The third May 5 update is the global launch of ChatGPT for Excel and Google Sheets.&lt;/p&gt;
&lt;p&gt;This feature puts ChatGPT into the sidebar of Microsoft Excel and Google Sheets, allowing users to build, update, and understand data inside spreadsheets. Official scenarios include trackers, budgets, formulas, multi-tab files, scenario work, and spreadsheet cleanup.&lt;/p&gt;
&lt;p&gt;This shows ChatGPT is not staying inside a chat window. It is moving into places where users already work.&lt;/p&gt;
&lt;p&gt;For office users, spreadsheets are a very common work surface. Many companies, teams, and individuals keep business data not in complex data platforms, but in piles of Excel and Google Sheets files. If ChatGPT can understand data, write formulas, organize multiple sheets, and explain results next to the spreadsheet, the barrier is much lower than copying everything into a chat window.&lt;/p&gt;
&lt;p&gt;OpenAI also reminds users to review outputs before relying on formulas or analysis. That is realistic: AI can speed up spreadsheet work, but it cannot take full responsibility for financial, operational, or business judgments.&lt;/p&gt;
&lt;h2 id=&#34;late-april-groundwork-security-and-model-selection&#34;&gt;Late April groundwork: security and model selection
&lt;/h2&gt;&lt;p&gt;Looking back, the April 30 &lt;code&gt;Advanced Account Security&lt;/code&gt; update is also worth attention.&lt;/p&gt;
&lt;p&gt;It is an optional security setting for personal ChatGPT accounts. When enabled, the account uses stronger sign-in methods such as passkeys or compatible security keys, and disables weaker paths such as password sign-in, email or SMS sign-in codes, and email-based account recovery. It also includes recovery keys, shorter active sessions, login notifications, and session management controls.&lt;/p&gt;
&lt;p&gt;This shows ChatGPT accounts are becoming more important. As files, memories, app connections, email, spreadsheets, and work projects enter ChatGPT, account security is no longer just a login issue. It relates to the user&amp;rsquo;s long-term work context.&lt;/p&gt;
&lt;p&gt;On April 28, OpenAI also moved model selection closer to the composer and put Thinking and Pro model &lt;code&gt;thinking effort&lt;/code&gt; controls into the model picker. This is a typical product detail change: as the number of models grows, users need an easier way to choose the right tool before sending a message.&lt;/p&gt;
&lt;h2 id=&#34;another-late-april-direction-faster-ordinary-answers&#34;&gt;Another late-April direction: faster ordinary answers
&lt;/h2&gt;&lt;p&gt;On April 22, ChatGPT introduced &lt;code&gt;Fast answers&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;This feature is for common information queries. When a question does not need personalization and ChatGPT has a high-confidence answer, it can return results faster. Fast answers do not reference past chats or memory, and users can turn them off in personalization settings.&lt;/p&gt;
&lt;p&gt;This may look opposite to stronger memory, but it is the same product logic: different questions need different handling.&lt;/p&gt;
&lt;p&gt;Some questions need long-term context, such as &amp;ldquo;help me continue planning that project from last week.&amp;rdquo; Others only need a fast and accurate answer, such as &amp;ldquo;what are the Seven Wonders of the World?&amp;rdquo; The former needs memory and context; the latter needs speed and clarity. ChatGPT is separating these paths.&lt;/p&gt;
&lt;h2 id=&#34;product-rhythm-is-changing&#34;&gt;Product rhythm is changing
&lt;/h2&gt;&lt;p&gt;These release notes show that ChatGPT updates are no longer only model releases.&lt;/p&gt;
&lt;p&gt;Updates now cover:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Default model quality.&lt;/li&gt;
&lt;li&gt;Memory and personalization.&lt;/li&gt;
&lt;li&gt;App connections and office add-ins.&lt;/li&gt;
&lt;li&gt;Account security.&lt;/li&gt;
&lt;li&gt;Model selection and interaction entry points.&lt;/li&gt;
&lt;li&gt;Fast answers and mobile experience.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This means ChatGPT is moving from a single AI chat product into a more complete work platform. Model capability is still important, but product experience, context management, tool entry points, account security, and third-party integrations now matter just as much.&lt;/p&gt;
&lt;h2 id=&#34;short-take&#34;&gt;Short Take
&lt;/h2&gt;&lt;p&gt;The most interesting part of these ChatGPT Release Notes is not one specific update, but the direction they form together.&lt;/p&gt;
&lt;p&gt;OpenAI is making ChatGPT faster, more context-aware, more present in office workflows, and also more controllable and secure. GPT-5.5 Instant improves default answer quality, memory sources explain personalization, Excel and Google Sheets bring ChatGPT into real work files, and Advanced Account Security protects heavier account usage.&lt;/p&gt;
&lt;p&gt;Going forward, ChatGPT&amp;rsquo;s competitiveness will not depend only on model parameters. It will also depend on whether OpenAI can organize these updates into a stable, clear product experience that users are willing to trust with long-term context.&lt;/p&gt;
&lt;h2 id=&#34;links&#34;&gt;Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;ChatGPT Release Notes: &lt;a class=&#34;link&#34; href=&#34;https://help.openai.com/en/articles/6825453-chatgpt-release-notes%253F.ejs&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://help.openai.com/en/articles/6825453-chatgpt-release-notes%253F.ejs&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Grok Imagine Quality Mode API: xAI wants image generation inside enterprise workflows</title>
        <link>https://knightli.com/en/2026/05/07/grok-imagine-quality-mode-api/</link>
        <pubDate>Thu, 07 May 2026 14:27:29 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/07/grok-imagine-quality-mode-api/</guid>
        <description>&lt;p&gt;xAI released the &lt;code&gt;Grok Imagine Quality Mode API&lt;/code&gt; on May 6, 2026. It is a quality mode for image generation and editing in Grok Imagine, available to enterprise developers and teams, with a focus on higher realism, stronger text rendering, and better creative control.&lt;/p&gt;
&lt;p&gt;The point of this update is not to create another generic text-to-image entry point. It is to put Grok Imagine into enterprise content production workflows: product images, marketing assets, ad variations, UGC-style content, brand visuals, and video generation all fall within its target range.&lt;/p&gt;
&lt;h2 id=&#34;what-quality-mode-provides&#34;&gt;What Quality Mode provides
&lt;/h2&gt;&lt;p&gt;xAI&amp;rsquo;s positioning is clear: more realistic, better at text, and better at following prompts.&lt;/p&gt;
&lt;p&gt;First, realism is improved. The official examples emphasize natural skin, material details, lighting, scene atmosphere, and photographic texture. This matters for commercial images. Many image models already look &amp;ldquo;pretty,&amp;rdquo; but once the image is used in ads, product pages, or social assets, problems with skin, fabric, hands, spatial relationships, and lighting become obvious.&lt;/p&gt;
&lt;p&gt;Second, text rendering is stronger. xAI specifically says Quality Mode supports cleaner multilingual text capabilities. Whether an image model can reliably generate text is a real barrier for business use. Menus, posters, packaging, ads, buttons, signs, and social graphics are hard to use directly if even one word is wrong.&lt;/p&gt;
&lt;p&gt;Third, creative control is better. The official description includes tighter prompt following, deeper scene and world understanding, and more consistent brand results. In other words, Quality Mode is trying to solve not just &amp;ldquo;generate a good-looking image,&amp;rdquo; but &amp;ldquo;generate controllable, reusable, iterable images according to a team&amp;rsquo;s requirements.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;built-for-enterprises-not-just-casual-image-play&#34;&gt;Built for enterprises, not just casual image play
&lt;/h2&gt;&lt;p&gt;xAI places enterprise use cases near the front of the announcement.&lt;/p&gt;
&lt;p&gt;The most typical example is product visualization and marketing assets. Companies can use it to generate photorealistic product renders, hero images, social assets, icons, and ad variations. Compared with a personal user casually generating one image, companies care about three things:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether the image is realistic enough to approach commercial photography or high-quality rendering.&lt;/li&gt;
&lt;li&gt;Whether it follows brand style, including color, composition, text placement, and visual tone.&lt;/li&gt;
&lt;li&gt;Whether it can generate variations at scale for A/B tests, campaigns, and different channels.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That is where Quality Mode is valuable. It does not replace designers. It compresses the &amp;ldquo;make a dozen directions first&amp;rdquo; stage into less time. Teams can generate candidates through the API, then let design, marketing, and brand teams select, adjust, and ship them.&lt;/p&gt;
&lt;h2 id=&#34;image-editing-matters-more-than-text-to-image&#34;&gt;Image editing matters more than text-to-image
&lt;/h2&gt;&lt;p&gt;The announcement shows not only images generated from scratch, but also workflows based on reference images. Examples include placing a product on a pamphlet, preserving a T-shirt graphic, and putting the same person into different UGC scenes.&lt;/p&gt;
&lt;p&gt;This is more useful for enterprises. In real business work, assets rarely start from nothing. Teams already have product photos, brand guidelines, character references, packaging designs, or campaign themes. If an AI tool can only randomly generate attractive images, its value is limited. If it can create stable variations around existing assets, it is much easier to fit into a workflow.&lt;/p&gt;
&lt;p&gt;This is also a direction for image model competition: from &amp;ldquo;prompt lottery&amp;rdquo; to controllable editing. Users do not only want surprise; they want predictable changes.&lt;/p&gt;
&lt;h2 id=&#34;the-business-meaning-of-ugc-style-content&#34;&gt;The business meaning of UGC-style content
&lt;/h2&gt;&lt;p&gt;xAI also shows UGC-style content, such as the same person wearing a specified T-shirt, eating birthday cake, or taking a mirror selfie in an elevator.&lt;/p&gt;
&lt;p&gt;This reflects a shift in advertising and social content production. Many brands no longer need only polished studio shots. They also need content that looks more natural and closer to real user sharing. UGC-style assets work well for short video covers, feed ads, social posts, and creator collaboration previews.&lt;/p&gt;
&lt;p&gt;Of course, this also means companies need clearer handling of portrait rights, brand authorization, and content labeling. AI can lower production costs, but it does not make usage risk disappear. Compliance still has to be designed in advance, especially when real likenesses, similar people, product marks, and ad distribution are involved.&lt;/p&gt;
&lt;h2 id=&#34;text-world-understanding-and-visual-range&#34;&gt;Text, world understanding, and visual range
&lt;/h2&gt;&lt;p&gt;Quality Mode also emphasizes world understanding and a broad visual range.&lt;/p&gt;
&lt;p&gt;Official examples include text on a cake explaining Alexander the Great, cinematic picnic scenes, and UI-style icons. These examples suggest xAI wants Grok Imagine to cover realistic photography, commercial ads, product renders, icons, posters, and image inputs for video generation rather than one fixed aesthetic.&lt;/p&gt;
&lt;p&gt;The most interesting part is the combination of text and world understanding. Many image tasks are not just about drawing objects. They require the model to understand relationships, use cases, historical facts, text meaning, and visual presentation. The more the model can understand these constraints, the more likely it is to move from entertainment tool to production tool.&lt;/p&gt;
&lt;h2 id=&#34;quality-mode-also-enhances-video-generation&#34;&gt;Quality Mode also enhances video generation
&lt;/h2&gt;&lt;p&gt;xAI says pairing its latest image model with its video capabilities can support social media video assets, product showcases, ads, and more.&lt;/p&gt;
&lt;p&gt;This fits the broader trend in multimodal products: image generation is no longer an isolated capability. It becomes part of a pipeline for video generation, ad creative, product demos, and social content. A company may first generate a high-quality product image, then extend it into a short video, motion ad, or multi-version campaign asset.&lt;/p&gt;
&lt;p&gt;From this perspective, Quality Mode is not just about clearer images. It provides a more stable visual starting point for video and marketing automation.&lt;/p&gt;
&lt;h2 id=&#34;how-developers-call-it&#34;&gt;How developers call it
&lt;/h2&gt;&lt;p&gt;The official example uses &lt;code&gt;xai_sdk&lt;/code&gt; to call the &lt;code&gt;grok-imagine-image-quality&lt;/code&gt; model:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;xai_sdk&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;client&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;xai_sdk&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;Client&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;()&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;response&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;client&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;image&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;sample&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;prompt&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;A collage of London landmarks in a stenciled street-art style&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;grok-imagine-image-quality&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;response&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;url&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This shows Quality Mode is not only a feature inside the Grok frontend. It is exposed through the API for enterprise developers and teams. For companies, the API form matters because it can connect to internal asset systems, ad platforms, CMS tools, design workflows, and automation pipelines.&lt;/p&gt;
&lt;h2 id=&#34;short-take&#34;&gt;Short Take
&lt;/h2&gt;&lt;p&gt;The core direction of Grok Imagine Quality Mode API is to push image generation from &amp;ldquo;fun&amp;rdquo; toward &amp;ldquo;usable in enterprise production.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;It emphasizes realism, text rendering, prompt following, brand consistency, image editing, UGC style, and video generation continuity. All of these point to one goal: helping teams produce visual assets in batches, with stability and control.&lt;/p&gt;
&lt;p&gt;The real test is not only whether a single image looks impressive. It is whether text rendering stays stable in complex scenes, whether reference-image editing preserves identity and brand consistency, and whether the API is fast, affordable, and controllable at scale. Only if those parts hold up can Grok Imagine truly enter enterprise content production pipelines.&lt;/p&gt;
&lt;h2 id=&#34;links&#34;&gt;Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;xAI announcement: &lt;a class=&#34;link&#34; href=&#34;https://x.ai/news/grok-imagine-quality-mode&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://x.ai/news/grok-imagine-quality-mode&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;API docs: &lt;a class=&#34;link&#34; href=&#34;https://docs.x.ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://docs.x.ai&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Doubao&#39;s 68 to 500 Yuan Subscription Test: Is the Era of Free AI Ending?</title>
        <link>https://knightli.com/en/2026/05/07/doubao-ai-subscription-pricing/</link>
        <pubDate>Thu, 07 May 2026 11:38:45 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/07/doubao-ai-subscription-pricing/</guid>
        <description>&lt;p&gt;Around May 2026, Doubao&amp;rsquo;s App Store page showed information about a paid subscription test, with pricing split into three tiers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Standard: 68 yuan/month.&lt;/li&gt;
&lt;li&gt;Enhanced: 200 yuan/month.&lt;/li&gt;
&lt;li&gt;Professional: 500 yuan/month.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It is not surprising that this caused controversy. Chinese internet users have long been used to free apps, free content, and free basic services. When a mass-market AI assistant suddenly shows monthly fees ranging from dozens to hundreds of yuan, it is easy for people to wonder: is Doubao trying to charge in disguise? Will the free version become worse? Is ByteDance unable to keep burning money?&lt;/p&gt;
&lt;p&gt;But what is truly worth watching is not only whether Doubao charges 68 yuan. It is whether China&amp;rsquo;s AI products are moving from &amp;ldquo;free user acquisition&amp;rdquo; into a stage of &amp;ldquo;compute tiering and commercial closure.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;The official wording is restrained: Doubao&amp;rsquo;s basic services will remain free, value-added services are still being tested, and full information will be released through official channels when they formally launch. In other words, free chat is not disappearing immediately. Doubao is starting to split previously bundled capabilities into several layers: a free entry point, value-added features, and high-end productivity services.&lt;/p&gt;
&lt;h2 id=&#34;ai-is-not-a-traditional-free-app&#34;&gt;AI Is Not a Traditional Free App
&lt;/h2&gt;&lt;p&gt;Many people understand AI as if it were an ordinary app: once the software has been developed, adding one more user should not cost much.&lt;/p&gt;
&lt;p&gt;Traditional internet products often do work like this. A content platform, a piece of software, or a community product requires heavy upfront investment, but as users grow, the fixed cost per user falls. Advertising, memberships, e-commerce, and value-added services can gradually make up the cost.&lt;/p&gt;
&lt;p&gt;AI is different.&lt;/p&gt;
&lt;p&gt;Every request requires inference. Every inference consumes compute, tokens, electricity, and model-serving resources. A light user asking about the weather costs very little. A heavy user asking AI to write reports, analyze data, generate PPTs, process long documents, create images, or handle complex tasks can quickly drive costs upward.&lt;/p&gt;
&lt;p&gt;So the essence of Doubao&amp;rsquo;s pricing is not simply selling a membership. It is an attempt to turn uncontrollable compute consumption into a predictable revenue structure.&lt;/p&gt;
&lt;p&gt;If a user only asks a few simple questions every day, the platform can keep that user through the free entry point. But if a user heavily uses productivity features, the platform has to think about quotas, priority, and payment.&lt;/p&gt;
&lt;h2 id=&#34;the-free-version-will-not-disappear-but-the-experience-may-become-tiered&#34;&gt;The Free Version Will Not Disappear, but the Experience May Become Tiered
&lt;/h2&gt;&lt;p&gt;&amp;ldquo;Basic services will remain free&amp;rdquo; is probably true, but the continued existence of free access does not mean the free experience will stay exactly the same.&lt;/p&gt;
&lt;p&gt;Once a product starts charging, the free version is usually repositioned in several ways.&lt;/p&gt;
&lt;p&gt;First is compute priority.&lt;/p&gt;
&lt;p&gt;Compute cannot be supplied infinitely during peak hours. Platforms will not build data centers around the absolute peak load, because large amounts of resources would sit idle during off-peak periods. A more realistic approach is to guarantee the paid-user experience while free users queue, wait, slow down, or use lower-cost models.&lt;/p&gt;
&lt;p&gt;Second is model level.&lt;/p&gt;
&lt;p&gt;Doubao already has experience tiers similar to &amp;ldquo;fast thinking&amp;rdquo; and &amp;ldquo;expert.&amp;rdquo; In the future, free users may use lightweight models more often, while advanced models are placed inside quotas or paid benefits.&lt;/p&gt;
&lt;p&gt;Third is feature access.&lt;/p&gt;
&lt;p&gt;Ordinary chat may remain free, but capabilities that consume more resources will likely be limited or monetized, such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Long-document parsing.&lt;/li&gt;
&lt;li&gt;Deep analysis.&lt;/li&gt;
&lt;li&gt;AI image generation.&lt;/li&gt;
&lt;li&gt;PPT generation.&lt;/li&gt;
&lt;li&gt;Data analysis.&lt;/li&gt;
&lt;li&gt;Multimedia production.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Fourth is user psychology.&lt;/p&gt;
&lt;p&gt;As soon as a paid version appears on the page, free users naturally feel that they are using the lower-tier version. Even if the basic features remain, users will start comparing: is the paid version faster, smarter, and less restricted?&lt;/p&gt;
&lt;p&gt;So free AI in the future may not be unusable. It may be &amp;ldquo;usable, but you can always feel that a more advanced version exists next to it.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;bytedance-is-not-out-of-money-it-is-recalculating-its-cost-structure&#34;&gt;ByteDance Is Not Out of Money; It Is Recalculating Its Cost Structure
&lt;/h2&gt;&lt;p&gt;Another common interpretation of Doubao&amp;rsquo;s pricing is: is ByteDance out of money? Can it no longer afford AI spending?&lt;/p&gt;
&lt;p&gt;That explanation is too simplistic.&lt;/p&gt;
&lt;p&gt;ByteDance is not a listed company, so outsiders have difficulty getting complete financial data. There are many market claims about profit declines, AI investment, data-center construction, and equity incentives, but they cannot be simply equated with &amp;ldquo;Doubao has burned ByteDance into poverty.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Based on public information, Volcano Engine once disclosed that in March 2026, the average daily token usage of the Doubao large model exceeded 120 trillion, and had grown 1,000 times over the past year. That scale does suggest very high inference costs behind Doubao.&lt;/p&gt;
&lt;p&gt;If roughly estimated using model input and output prices, Doubao&amp;rsquo;s annual consumption could reach the level of tens of billions of yuan. That number is frightening for an ordinary company, but in the context of ByteDance&amp;rsquo;s revenue scale and AI strategic investment, it is not necessarily unbearable.&lt;/p&gt;
&lt;p&gt;A more reasonable judgment is: ByteDance is not unable to keep spending. It no longer wants the free-for-all to hide the real cost.&lt;/p&gt;
&lt;p&gt;AI products cannot be judged only by user count. They must also be judged by unit economics: can the revenue generated by a user cover the compute that user consumes? The more users there are, the more money the product may burn if a paid system has not been established.&lt;/p&gt;
&lt;h2 id=&#34;after-taking-the-lead-doubao-is-building-paid-user-expectations&#34;&gt;After Taking the Lead, Doubao Is Building Paid-User Expectations
&lt;/h2&gt;&lt;p&gt;Doubao&amp;rsquo;s biggest bargaining chip today may not be having the strongest model, but its user scale and product entry points.&lt;/p&gt;
&lt;p&gt;As of March 2026, some reports claimed that Doubao had about 345 million monthly active users, Qianwen about 166 million, and DeepSeek about 127 million. Regardless of the exact measurement, Doubao is already near the front of China&amp;rsquo;s AI assistant market in user scale.&lt;/p&gt;
&lt;p&gt;When a product is still catching up, the most common strategy is free access, subsidies, new-user acquisition, and entry-point capture. But once it becomes a leading product, the next step becomes shaping expectations:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Make users accept that AI is worth paying for.&lt;/li&gt;
&lt;li&gt;Separate advanced capabilities from basic capabilities.&lt;/li&gt;
&lt;li&gt;Use high-priced plans to establish price anchors.&lt;/li&gt;
&lt;li&gt;Then use benefit packages, discounts, and limited-time offers to convert users.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is also why Doubao&amp;rsquo;s pricing test puts pressure on competitors.&lt;/p&gt;
&lt;p&gt;If other AI assistants remain free, users may ask: why are you not charging? Is your capability not strong enough? Has your commercialization not worked?&lt;/p&gt;
&lt;p&gt;If other products follow with paid plans, they face an even harder problem: their user scale is already behind, and charging may further weaken growth.&lt;/p&gt;
&lt;p&gt;So Doubao&amp;rsquo;s subscription test is not simply about earning subscription fees. It is pushing competition from &amp;ldquo;whoever is free gets users&amp;rdquo; toward &amp;ldquo;who can charge, who can retain users, and who can make the commercial loop work.&amp;rdquo;&lt;/p&gt;
&lt;h2 id=&#34;the-deeper-issue-is-internal-resource-integration&#34;&gt;The Deeper Issue Is Internal Resource Integration
&lt;/h2&gt;&lt;p&gt;ByteDance&amp;rsquo;s AI products are not limited to Doubao.&lt;/p&gt;
&lt;p&gt;It also has Volcano Engine, Coze, Jimeng, CapCut, Feishu, Trae, Seedance, Seedream, Coding Plan, and API services for enterprises and developers. Each team has its own product, plans, quotas, KPIs, and commercialization goals.&lt;/p&gt;
&lt;p&gt;This creates a problem: users may clearly be buying ByteDance&amp;rsquo;s AI capabilities, but they may have to pay repeatedly across multiple entry points.&lt;/p&gt;
&lt;p&gt;For example, a user may buy a CapCut membership, buy a Jimeng package, buy Coding Plan through Volcano Engine, and separately top up for API usage. Different business lines price separately, sell benefits separately, and compete for compute separately. The experience will become increasingly fragmented.&lt;/p&gt;
&lt;p&gt;If Doubao&amp;rsquo;s subscription only charges separately for the chat assistant, its significance is limited.&lt;/p&gt;
&lt;p&gt;But if the 68, 200, and 500 yuan tiers can eventually connect Doubao, Jimeng, CapCut, Volcano Engine, Coding Plan, and other capabilities, letting users obtain a unified quota through one account, then it is not just a membership package. It becomes a unified billing entry point for ByteDance&amp;rsquo;s AI system.&lt;/p&gt;
&lt;p&gt;OpenAI and Anthropic abroad are moving in a similar direction: users first subscribe to one main account, then consume quotas across chat, coding, tool calling, and productivity scenarios. This reduces user comprehension costs and also allows the platform to allocate compute more effectively.&lt;/p&gt;
&lt;p&gt;For ByteDance, the truly important part of Doubao&amp;rsquo;s pricing test may not be the 68 yuan itself. It may be whether ByteDance can gather its internal AI capabilities into a more unified commercial system.&lt;/p&gt;
&lt;h2 id=&#34;how-to-read-this&#34;&gt;How to Read This
&lt;/h2&gt;&lt;p&gt;Doubao&amp;rsquo;s pricing can certainly be questioned.&lt;/p&gt;
&lt;p&gt;Users have every reason to care whether prices are reasonable, benefits are clear, the free version will be downgraded, and advanced capabilities are truly worth 200 or 500 yuan. But if this is understood only as &amp;ldquo;harvesting users,&amp;rdquo; the reading is too shallow.&lt;/p&gt;
&lt;p&gt;There are at least five layers of change behind it:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Every AI use has inference cost, so the traditional free-app logic cannot be applied completely.&lt;/li&gt;
&lt;li&gt;The free entry point will continue to exist, but the free experience may be re-tiered through quotas, queues, model levels, and feature access.&lt;/li&gt;
&lt;li&gt;ByteDance charging does not mean it is out of money. It means ByteDance is starting to calculate compute cost, user growth, and commercialization on the same sheet.&lt;/li&gt;
&lt;li&gt;After gaining a lead in user scale, Doubao is beginning to build the expectation that AI should be paid for, and is handing competitors a hard choice.&lt;/li&gt;
&lt;li&gt;The larger possibility is whether ByteDance can unify its internal AI products and compute quotas.&lt;/li&gt;
&lt;/ol&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;Doubao&amp;rsquo;s 68, 200, and 500 yuan subscription test does not mean free AI will disappear tomorrow, nor does it mean ordinary chat will immediately become unavailable.&lt;/p&gt;
&lt;p&gt;It is more like a signal: Chinese AI assistants are moving from free user acquisition into tiered pricing. Basic capabilities remain free, advanced capabilities are paid as needed, and complex productivity tasks consume quotas. This may become normal for more and more AI products.&lt;/p&gt;
&lt;p&gt;What is truly worth watching is whether Doubao can turn pricing into a clear, unified, and valuable AI account system. If it is only another membership wall, users will resent it. If it can connect chat, office work, creation, coding, and API capabilities, it may become the key entry point for ByteDance&amp;rsquo;s AI commercialization.&lt;/p&gt;
&lt;p&gt;The era of free AI may not be ending, but the era of &amp;ldquo;unlimited free use of advanced intelligence&amp;rdquo; is very likely already starting to loosen.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>CC Switch: A desktop tool for managing Claude Code, Codex, Gemini CLI, and OpenClaw in one place</title>
        <link>https://knightli.com/en/2026/05/06/cc-switch-ai-cli-manager/</link>
        <pubDate>Wed, 06 May 2026 09:03:08 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/06/cc-switch-ai-cli-manager/</guid>
        <description>&lt;p&gt;&lt;code&gt;CC Switch&lt;/code&gt; is a desktop management tool for heavy AI coding users. The problem it tries to solve is straightforward: many people now use &lt;code&gt;Claude Code&lt;/code&gt;, &lt;code&gt;Codex&lt;/code&gt;, &lt;code&gt;Gemini CLI&lt;/code&gt;, &lt;code&gt;OpenCode&lt;/code&gt;, and &lt;code&gt;OpenClaw&lt;/code&gt; at the same time, but each tool has its own configuration format, Provider syntax, MCP setup, and Skills management method.&lt;/p&gt;
&lt;p&gt;When you only use one tool, manually editing configuration files is still tolerable. Once several tools are mixed together, plus official accounts, third-party APIs, relay services, local models, and shared team configuration, editing JSON, TOML, and &lt;code&gt;.env&lt;/code&gt; files by hand quickly becomes tedious.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;CC Switch&lt;/code&gt; is positioned as a way to pull these scattered configurations into one cross-platform desktop app.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-does-it-solve&#34;&gt;What problem does it solve
&lt;/h2&gt;&lt;p&gt;Modern AI coding tools increasingly feel like &amp;ldquo;development colleagues inside the command line&amp;rdquo;, but their ecosystems are still not fully unified.&lt;/p&gt;
&lt;p&gt;Common pain points include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw all use different configuration formats.&lt;/li&gt;
&lt;li&gt;Switching API Providers requires repeated configuration-file edits.&lt;/li&gt;
&lt;li&gt;MCP servers are configured repeatedly across different tools.&lt;/li&gt;
&lt;li&gt;Prompt files such as &lt;code&gt;CLAUDE.md&lt;/code&gt;, &lt;code&gt;AGENTS.md&lt;/code&gt;, and &lt;code&gt;GEMINI.md&lt;/code&gt; are hard to maintain consistently.&lt;/li&gt;
&lt;li&gt;Skills installation, sync, backup, and removal lack a single central entry point.&lt;/li&gt;
&lt;li&gt;Switching between multiple accounts, relays, and model services can easily become confusing.&lt;/li&gt;
&lt;li&gt;Once a manually edited configuration file breaks, troubleshooting is costly.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The idea behind &lt;code&gt;CC Switch&lt;/code&gt; is to stop forcing users to remember every tool&amp;rsquo;s configuration details, and instead use one unified interface to manage Providers, MCP, Prompts, Skills, Sessions, and proxies.&lt;/p&gt;
&lt;h2 id=&#34;supported-tools&#34;&gt;Supported tools
&lt;/h2&gt;&lt;p&gt;The README lists five core supported targets:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Claude Code&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Codex&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Gemini CLI&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OpenCode&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OpenClaw&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These tools are similar in positioning: all center on AI coding, Agent workflows, and command-line collaboration. But their configuration systems differ, and the value of &lt;code&gt;CC Switch&lt;/code&gt; lies in wrapping those differences.&lt;/p&gt;
&lt;p&gt;For people who often compare different AI coding tools, this is much easier than manually opening configuration files every time.&lt;/p&gt;
&lt;h2 id=&#34;provider-management&#34;&gt;Provider management
&lt;/h2&gt;&lt;p&gt;The first layer of &lt;code&gt;CC Switch&lt;/code&gt; is Provider management.&lt;/p&gt;
&lt;p&gt;It includes more than 50 Provider presets. The README mentions directions such as AWS Bedrock, NVIDIA NIM, and various community relays. Users can copy an API key, import it with one click, and then switch from the interface.&lt;/p&gt;
&lt;p&gt;The practical points include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Add Providers with one click.&lt;/li&gt;
&lt;li&gt;Reorder Providers by dragging.&lt;/li&gt;
&lt;li&gt;Quickly switch from the system tray.&lt;/li&gt;
&lt;li&gt;Import and export Providers.&lt;/li&gt;
&lt;li&gt;Sync some common Providers across multiple apps.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For many people, this feature alone is already attractive. In daily AI coding work, the problem is often not &amp;ldquo;I do not know how to use the model&amp;rdquo;, but &amp;ldquo;which tool, endpoint, and account should this key use today&amp;rdquo;.&lt;/p&gt;
&lt;h2 id=&#34;local-proxy-and-failover&#34;&gt;Local proxy and failover
&lt;/h2&gt;&lt;p&gt;Besides writing configuration files, &lt;code&gt;CC Switch&lt;/code&gt; also provides a local proxy mode.&lt;/p&gt;
&lt;p&gt;The focus of this capability is:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Hot-switching Providers.&lt;/li&gt;
&lt;li&gt;Format conversion.&lt;/li&gt;
&lt;li&gt;Automatic failover.&lt;/li&gt;
&lt;li&gt;Circuit breakers.&lt;/li&gt;
&lt;li&gt;Provider health checks.&lt;/li&gt;
&lt;li&gt;Request correction.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In simple terms, it does not only write configuration into target tools. It can also add a local proxy layer in the middle, so different tools access model services through the proxy.&lt;/p&gt;
&lt;p&gt;This is useful for users with multiple Providers: if one service is down, switch to another; if one model is expensive, move to a cheaper one; if a request format is incompatible, adapt it through the proxy layer.&lt;/p&gt;
&lt;h2 id=&#34;mcp-prompts-and-skills&#34;&gt;MCP, Prompts, and Skills
&lt;/h2&gt;&lt;p&gt;The second important layer of &lt;code&gt;CC Switch&lt;/code&gt; is unified management for MCP, Prompts, and Skills.&lt;/p&gt;
&lt;h3 id=&#34;mcp&#34;&gt;MCP
&lt;/h3&gt;&lt;p&gt;It provides a unified MCP panel for managing MCP servers across multiple apps, with support for bidirectional sync and Deep Link import.&lt;/p&gt;
&lt;p&gt;This is practical for users already working with MCP. Once there are many MCP servers, configuration easily becomes scattered across different clients. A unified panel reduces duplicate configuration and makes migration easier.&lt;/p&gt;
&lt;h3 id=&#34;prompts&#34;&gt;Prompts
&lt;/h3&gt;&lt;p&gt;The Prompts section supports Markdown editing and can sync corresponding files across different tools, such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;CLAUDE.md&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;AGENTS.md&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;GEMINI.md&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These files are essentially project manuals for Agents. Unified management makes it easier to maintain team rules, project conventions, and global prompts.&lt;/p&gt;
&lt;h3 id=&#34;skills&#34;&gt;Skills
&lt;/h3&gt;&lt;p&gt;Skills can be installed with one click from GitHub repositories or ZIP files. Custom repository management, symbolic links, and file copying are also supported.&lt;/p&gt;
&lt;p&gt;If you use tools such as Claude Code, Codex, and OpenClaw at the same time, Skills can easily turn into scattered files across different directories. &lt;code&gt;CC Switch&lt;/code&gt; centralizes them and reduces maintenance cost.&lt;/p&gt;
&lt;h2 id=&#34;sessions-and-workspace&#34;&gt;Sessions and workspace
&lt;/h2&gt;&lt;p&gt;The README also mentions Session Manager and Workspace features.&lt;/p&gt;
&lt;p&gt;It can browse, search, and restore session history from multiple apps. For people who use AI coding tools over a long period, session management is genuinely important: many valuable contexts, debugging trails, and solution comparisons are buried in old conversations.&lt;/p&gt;
&lt;p&gt;It also provides a Workspace editor for OpenClaw, allowing users to edit agent files such as &lt;code&gt;AGENTS.md&lt;/code&gt; and &lt;code&gt;SOUL.md&lt;/code&gt; with Markdown preview.&lt;/p&gt;
&lt;p&gt;This shows that &lt;code&gt;CC Switch&lt;/code&gt; is not just a small &amp;ldquo;key switching&amp;rdquo; utility. It is expanding toward an AI Agent workstation.&lt;/p&gt;
&lt;h2 id=&#34;cloud-sync-and-data-storage&#34;&gt;Cloud sync and data storage
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;CC Switch&lt;/code&gt; supports syncing Provider data through Dropbox, OneDrive, iCloud, NAS, or WebDAV.&lt;/p&gt;
&lt;p&gt;Local data storage is also clearly defined:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Database: &lt;code&gt;~/.cc-switch/cc-switch.db&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Local settings: &lt;code&gt;~/.cc-switch/settings.json&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Automatic backups: &lt;code&gt;~/.cc-switch/backups/&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Skills: &lt;code&gt;~/.cc-switch/skills/&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Skill backups: &lt;code&gt;~/.cc-switch/skill-backups/&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;It uses SQLite as the main data source and emphasizes atomic writes and automatic backups, with the goal of avoiding configuration-file corruption during switching or writing.&lt;/p&gt;
&lt;p&gt;This design matters for heavy users. If the configuration management tool itself writes a bad configuration, every AI coding tool can be affected.&lt;/p&gt;
&lt;h2 id=&#34;installation&#34;&gt;Installation
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;CC Switch&lt;/code&gt; is a cross-platform desktop app built on Tauri 2.&lt;/p&gt;
&lt;p&gt;The approximate system requirements are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Windows: Windows 10 or later&lt;/li&gt;
&lt;li&gt;macOS: macOS 12 Monterey or later&lt;/li&gt;
&lt;li&gt;Linux: Ubuntu 22.04+, Debian 11+, Fedora 34+, and other mainstream distributions&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Windows users can download the &lt;code&gt;.msi&lt;/code&gt; installer or a portable compressed package.&lt;/p&gt;
&lt;p&gt;macOS users can install it with Homebrew:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;brew tap farion1231/ccswitch
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;brew install --cask cc-switch
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;To update:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;brew upgrade --cask cc-switch
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Linux users can choose &lt;code&gt;.deb&lt;/code&gt;, &lt;code&gt;.rpm&lt;/code&gt;, or AppImage. Arch Linux users can also install it through &lt;code&gt;paru -S cc-switch-bin&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;As of May 6, 2026, the repository page shows the latest release as &lt;code&gt;CC Switch v3.14.1&lt;/code&gt;, published on April 23, 2026.&lt;/p&gt;
&lt;h2 id=&#34;tech-stack&#34;&gt;Tech stack
&lt;/h2&gt;&lt;p&gt;Judging from the repository structure, &lt;code&gt;CC Switch&lt;/code&gt; is a typical Tauri desktop app:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Frontend: React 18, TypeScript, Vite, TailwindCSS, TanStack Query, shadcn/ui&lt;/li&gt;
&lt;li&gt;Backend: Tauri 2, Rust, SQLite, Tokio&lt;/li&gt;
&lt;li&gt;Testing: Vitest, MSW, Testing Library&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Core design patterns include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;SQLite as the Single Source of Truth.&lt;/li&gt;
&lt;li&gt;JSON for device-level local settings.&lt;/li&gt;
&lt;li&gt;Writing into target tools&amp;rsquo; live config during switching.&lt;/li&gt;
&lt;li&gt;Filling current Provider edits back from live config.&lt;/li&gt;
&lt;li&gt;Atomic writes using temporary files plus rename.&lt;/li&gt;
&lt;li&gt;Locked database connections to avoid concurrent write issues.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This architecture suggests the project is not a simple script, but a desktop tool designed for long-term use.&lt;/p&gt;
&lt;h2 id=&#34;who-it-is-for&#34;&gt;Who it is for
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;CC Switch&lt;/code&gt; suits these users:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;People who use Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw together.&lt;/li&gt;
&lt;li&gt;People who frequently switch between official accounts, third-party relays, local models, or team Providers.&lt;/li&gt;
&lt;li&gt;Users already making heavy use of MCP.&lt;/li&gt;
&lt;li&gt;Teams that want to maintain &lt;code&gt;CLAUDE.md&lt;/code&gt;, &lt;code&gt;AGENTS.md&lt;/code&gt;, and &lt;code&gt;GEMINI.md&lt;/code&gt; in one place.&lt;/li&gt;
&lt;li&gt;Users who often install, test, and migrate Skills.&lt;/li&gt;
&lt;li&gt;People who want to view session history and usage across different tools.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only use one AI coding tool, rely on official login, and rarely touch Providers, MCP, or Skills, its value may not be obvious.&lt;/p&gt;
&lt;p&gt;But if you have already entered a &amp;ldquo;many tools, many accounts, many Providers, many projects&amp;rdquo; state, it can remove a lot of repetitive configuration work.&lt;/p&gt;
&lt;h2 id=&#34;what-to-watch-out-for&#34;&gt;What to watch out for
&lt;/h2&gt;&lt;p&gt;Tools like this are convenient, but they also need clear boundaries.&lt;/p&gt;
&lt;p&gt;First, it manages configuration for multiple AI CLIs, so users should be sure they trust the tool and its write logic.&lt;/p&gt;
&lt;p&gt;Second, API keys, relay endpoints, and MCP servers are all sensitive configuration. Before enabling cloud sync, make sure the sync folder and WebDAV service are secure and trustworthy.&lt;/p&gt;
&lt;p&gt;Third, after switching Providers, most tools still need the terminal or CLI to be restarted before changes take effect. The README mentions that Claude Code supports hot-switching Provider data, but other tools usually still require a restart.&lt;/p&gt;
&lt;p&gt;Fourth, when switching back to official login, it is better to add the official provider according to the project instructions and then rerun the corresponding tool&amp;rsquo;s login flow.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The value of &lt;code&gt;CC Switch&lt;/code&gt; is not that it creates yet another AI coding tool. Its value is that it acknowledges a reality: the AI coding ecosystem has entered a stage where multiple tools coexist.&lt;/p&gt;
&lt;p&gt;Claude Code, Codex, Gemini CLI, OpenCode, and OpenClaw each have their own configuration systems, while MCP, Skills, Prompts, and Providers are expanding quickly. Continuing to edit configuration files by hand will eventually become a burden.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;CC Switch&lt;/code&gt; pulls these pieces into one desktop app, making it easier to switch Providers, sync MCP, manage Skills, maintain prompt files, and view sessions. For heavy AI coding users, tools like this may move from &amp;ldquo;optional utility&amp;rdquo; to &amp;ldquo;daily infrastructure&amp;rdquo;.&lt;/p&gt;
&lt;h2 id=&#34;references&#34;&gt;References
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/farion1231/cc-switch&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;farion1231/cc-switch&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Gemini Embedding 2: Putting Text, Images, Video, and Audio in One Vector Space</title>
        <link>https://knightli.com/en/2026/05/04/gemini-embedding-2-multimodal-rag/</link>
        <pubDate>Mon, 04 May 2026 06:01:10 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/04/gemini-embedding-2-multimodal-rag/</guid>
        <description>&lt;p&gt;Google Developers Blog introduced how to build with Gemini Embedding 2. The model is now generally available through the Gemini API and Gemini Enterprise Agent Platform. The important point is not simply that it is a new embedding model, but that it maps text, images, video, audio, and documents into the same semantic space.&lt;/p&gt;
&lt;p&gt;This broadens what retrieval systems can handle. Many RAG pipelines previously had to convert images, video, or audio into text or metadata before indexing them separately. Gemini Embedding 2 can process multimodal inputs directly, making it easier for agents, search systems, and classifiers to work with real business materials.&lt;/p&gt;
&lt;p&gt;Original article: &lt;a class=&#34;link&#34; href=&#34;https://developers.googleblog.com/building-with-gemini-embedding-2/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Building with Gemini Embedding 2: Agentic multimodal RAG and beyond&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;model-capabilities&#34;&gt;Model Capabilities
&lt;/h2&gt;&lt;p&gt;Gemini Embedding 2 supports more than 100 languages. A single request can process:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Up to 8,192 text tokens&lt;/li&gt;
&lt;li&gt;Up to 6 images&lt;/li&gt;
&lt;li&gt;Up to 120 seconds of video&lt;/li&gt;
&lt;li&gt;Up to 180 seconds of audio&lt;/li&gt;
&lt;li&gt;Up to 6 pages of PDF&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Its key idea is a unified semantic space. Developers can place content from different modalities into one vector representation system, then use the same retrieval, clustering, or reranking logic to process it.&lt;/p&gt;
&lt;p&gt;For example, a text description and an image can be included in the same embedding request:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;google&lt;/span&gt; &lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;genai&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;google.genai&lt;/span&gt; &lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;types&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;client&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;genai&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;Client&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;()&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;with&lt;/span&gt; &lt;span class=&#34;nb&#34;&gt;open&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;dog.png&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;s1&#34;&gt;&amp;#39;rb&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt; &lt;span class=&#34;k&#34;&gt;as&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;f&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;image_bytes&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;f&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;read&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;()&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;result&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;client&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;models&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;embed_content&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;gemini-embedding-2&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;contents&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;[&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;s2&#34;&gt;&amp;#34;An image of a dog&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;n&#34;&gt;types&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;Part&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;from_bytes&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;            &lt;span class=&#34;n&#34;&gt;data&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;image_bytes&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;            &lt;span class=&#34;n&#34;&gt;mime_type&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s1&#34;&gt;&amp;#39;image/png&amp;#39;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;p&#34;&gt;),&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;p&#34;&gt;]&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;result&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;embeddings&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you want a separate embedding for each input rather than one aggregated vector, you can use the Batch API. The original article also notes that Agent Platform support for this kind of batch workflow is still in progress.&lt;/p&gt;
&lt;h2 id=&#34;what-it-means-for-rag&#34;&gt;What It Means for RAG
&lt;/h2&gt;&lt;p&gt;Multimodal embeddings are useful for agentic RAG. An AI agent may need to inspect a code repository, PDFs, screenshots, charts, audio meeting notes, and product images at the same time. If all of these materials can enter the same semantic space, the retrieval pipeline no longer needs a separate entry point for every format.&lt;/p&gt;
&lt;p&gt;Google recommends using task prefixes according to the goal of the task, so the embeddings better match the retrieval objective. For example, question answering, fact checking, code retrieval, and search results can use different prefixes:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# Generate embedding for your task&amp;#39;s query:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;def&lt;/span&gt; &lt;span class=&#34;nf&#34;&gt;prepare_query&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;query&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;):&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;k&#34;&gt;return&lt;/span&gt; &lt;span class=&#34;sa&#34;&gt;f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;task: question answering | query: &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;{&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;content&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;}&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;c1&#34;&gt;# return f&amp;#34;task: fact checking | query: {content}&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;c1&#34;&gt;# return f&amp;#34;task: code retrieval | query: {content}&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;c1&#34;&gt;# return f&amp;#34;task: search result | query: {content}&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# Generate embedding for document of an asymmetric retrieval task:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;def&lt;/span&gt; &lt;span class=&#34;nf&#34;&gt;prepare_document&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;content&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;title&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;kc&#34;&gt;None&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;):&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;k&#34;&gt;if&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;title&lt;/span&gt; &lt;span class=&#34;ow&#34;&gt;is&lt;/span&gt; &lt;span class=&#34;kc&#34;&gt;None&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;n&#34;&gt;title&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;none&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;k&#34;&gt;return&lt;/span&gt; &lt;span class=&#34;sa&#34;&gt;f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;title: &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;{&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;title&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;}&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt; | text: &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;{&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;content&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;}&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This kind of prefix is suitable for asymmetric retrieval: user queries are often short, while documents are often long. Formatting &lt;code&gt;query&lt;/code&gt; and &lt;code&gt;document&lt;/code&gt; differently for the task can improve matching between short queries and long documents.&lt;/p&gt;
&lt;p&gt;The original article gives two real-world examples:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Harvey saw a 3% increase in Recall@20 precision on legal retrieval benchmarks compared with its previous embeddings.&lt;/li&gt;
&lt;li&gt;Supermemory saw a 40% increase in Recall@1 search accuracy and uses it across memory, indexing, search, and Q&amp;amp;A pipelines.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These numbers do not mean every scenario will improve by the same amount, but they show that multimodal embeddings are already producing results in real retrieval products, not only demos.&lt;/p&gt;
&lt;h2 id=&#34;visual-search&#34;&gt;Visual Search
&lt;/h2&gt;&lt;p&gt;Gemini Embedding 2 is also suitable for image-to-image search, image-text hybrid search, and product identification. The original article mentions Nuuly, URBN&amp;rsquo;s clothing rental company, using it to match photos of untagged garments in warehouses against its catalog. Match@20 improved from 60% to nearly 87%, and the overall successful identification rate rose from 74% to over 90%.&lt;/p&gt;
&lt;p&gt;The point in this type of scenario is not content generation, but understanding which inventory item, document, or product record is closest to a given image. If your business has many images, video clips, or scanned documents, multimodal embeddings can be more natural than text-only indexing.&lt;/p&gt;
&lt;h2 id=&#34;search-reranking&#34;&gt;Search Reranking
&lt;/h2&gt;&lt;p&gt;Embeddings can also be used for reranking. A common approach is to first retrieve a set of candidate results, then calculate the similarity between each candidate and the user&amp;rsquo;s query, pushing more relevant content to the top:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# 1. Define a function to calculate the dot product (cosine similarity)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;def&lt;/span&gt; &lt;span class=&#34;nf&#34;&gt;dot_product&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;a&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;np&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;ndarray&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;b&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;np&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;ndarray&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;):&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;k&#34;&gt;return&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;np&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;array&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;a&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;@&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;np&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;array&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;b&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;T&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# 2. Retrieve your embeddings&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# (Assuming &amp;#39;summaries&amp;#39; is your list of search results)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;search_res&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;get_embeddings&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;summaries&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;embedded_query&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;get_embeddings&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;([&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;query&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;])&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# 3. Calculate similarity scores&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;sim_value&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;dot_product&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;search_res&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;embedded_query&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# 4. Select the most relevant result&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;best_match_index&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;np&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;argmax&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;sim_value&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The original article also mentions another idea: first ask the model to generate a baseline hypothetical answer from its internal knowledge, embed that answer, and compare it with candidate content to find the most semantically relevant result. This is especially useful for Q&amp;amp;A-style RAG.&lt;/p&gt;
&lt;h2 id=&#34;clustering-classification-and-anomaly-detection&#34;&gt;Clustering, Classification, and Anomaly Detection
&lt;/h2&gt;&lt;p&gt;Beyond retrieval, embeddings are also useful for clustering, classification, and anomaly detection. Unlike the asymmetric question-answering retrieval above, these are symmetric tasks, where the same task prefix can be used for both query and document:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;c1&#34;&gt;# Generate embedding for query &amp;amp; document of your task.&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;def&lt;/span&gt; &lt;span class=&#34;nf&#34;&gt;prepare_query_and_document&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;content&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;):&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;c1&#34;&gt;# return f&amp;#39;task: clustering | query: {content}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;c1&#34;&gt;# return f&amp;#39;task: sentence similarity | query: {content}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;c1&#34;&gt;# return f&amp;#39;task: classification | query: {content}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;These tasks can be used for sentiment classification, content moderation, similar asset grouping, and anomaly discovery. They can also help agents organize large amounts of context before moving into later reasoning steps.&lt;/p&gt;
&lt;h2 id=&#34;storage-and-cost&#34;&gt;Storage and Cost
&lt;/h2&gt;&lt;p&gt;Gemini Embedding 2 outputs 3,072-dimensional vectors by default. It uses Matryoshka Representation Learning, so vectors can be truncated to smaller dimensions with &lt;code&gt;output_dimensionality&lt;/code&gt;. Google recommends 1,536 or 768 dimensions when efficiency is the priority:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;result&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;client&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;models&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;embed_content&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;gemini-embedding-2&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;contents&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;What is the meaning of life?&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;n&#34;&gt;config&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;output_dimensionality&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;mi&#34;&gt;768&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Vectors can be stored in Agent Platform Vector Search, Pinecone, Weaviate, Qdrant, ChromaDB, and similar systems. For cost, the original article notes that the Batch API provides higher throughput and reaches 50% of the default embedding price.&lt;/p&gt;
&lt;h2 id=&#34;how-developers-can-use-it&#34;&gt;How Developers Can Use It
&lt;/h2&gt;&lt;p&gt;If you already have text-based RAG, you can start with two incremental upgrades:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Put PDFs, screenshots, image descriptions, and text documents into the same index, then test whether retrieval recall becomes more stable.&lt;/li&gt;
&lt;li&gt;Add task prefixes for different tasks, such as question answering, fact checking, code retrieval, and product search. Do not process all content with the same embedding format.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;If you are building a new product, consider these directions first:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Enterprise knowledge bases: retrieve documents, charts, presentation screenshots, and meeting materials together.&lt;/li&gt;
&lt;li&gt;Visual search: use images, text, or mixed inputs to find products, assets, design drafts, and archives.&lt;/li&gt;
&lt;li&gt;Agent toolchains: let coding agents, research agents, or customer support agents retrieve business materials in multiple formats.&lt;/li&gt;
&lt;li&gt;Content governance: classify, cluster, and detect anomalies across text, images, and video clips.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The value of Gemini Embedding 2 is that it turns multimodal materials into one searchable asset system. For developers, this reduces the need for an intermediate &amp;ldquo;convert to text, then retrieve&amp;rdquo; layer and makes RAG systems closer to the shape of real-world data.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: Ad Creative Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;Ad Creative&lt;/code&gt; cases: 19 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;ad-creative&#34;&gt;Ad Creative
&lt;/h2&gt;&lt;h3 id=&#34;四宫格日式数字广告横幅&#34;&gt;四宫格日式数字广告横幅
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/makaneko_AI/status/2045764016858087720&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/makaneko_AI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@makaneko_AI&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/000.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/000_hu_b4b22c98e45c267c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/000_hu_b3b79859672a67c1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;四宫格日式数字广告横幅&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;75
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;76
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;77
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;78
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;79
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;80
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;81
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;82
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;83
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;84
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;85
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;86
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;87
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;88
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;89
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;90
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;93
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;95
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;96
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;2x2 grid of Japanese digital advertisement banners&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;structure&amp;#34;: &amp;#34;4 equal quadrants&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;quadrants&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;top-left&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;theme&amp;#34;: &amp;#34;Travel&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;subject&amp;#34;: &amp;#34;A couple holding hands on a white sand beach, looking out at turquoise ocean water under a bright blue sky.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;red hibiscus flower in bottom left corner&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;text_labels&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;今年こそ、解き放て。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;{argument name=\&amp;#34;travel destination\&amp;#34; default=\&amp;#34;沖縄旅行\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;3日間の癒やし旅&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;航空券+ホテル&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;39,800円〜&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;絶景、グルメ、体験 ぜんぶ叶う!&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;icons&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;count&amp;#34;: 3,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;descriptions&amp;#34;: [&amp;#34;airplane&amp;#34;, &amp;#34;hotel building&amp;#34;, &amp;#34;car&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;top-right&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;theme&amp;#34;: &amp;#34;Skincare&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;subject&amp;#34;: &amp;#34;Close-up portrait of a young woman with glowing, dewy skin, eyes closed, gently touching her cheeks.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;soft pink gradient background&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;dynamic water splash effects&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;pink cosmetic jar labeled &amp;#39;{argument name=\&amp;#34;skincare product name\&amp;#34; default=\&amp;#34;LUMIÈRE\&amp;#34;} Brightening Gel&amp;#39;&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;text_labels&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;毛穴・くすみ卒業!&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;透明感あふれる&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;水光肌へ&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;新感覚スキンケア&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;初回限定 78%OFF&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;{argument name=\&amp;#34;discount price\&amp;#34; default=\&amp;#34;1,980円\&amp;#34;}&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;badges&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;count&amp;#34;: 3,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;style&amp;#34;: &amp;#34;gold circular&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;labels&amp;#34;: [&amp;#34;毛穴ケア&amp;#34;, &amp;#34;高保湿&amp;#34;, &amp;#34;ハリ・ツヤ&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;bottom-left&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;theme&amp;#34;: &amp;#34;Gourmet Food&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;subject&amp;#34;: &amp;#34;Thick, sliced, medium-rare steak sizzling on a dark grill plate.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;garlic chips&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;rosemary sprig&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;dark background with smoke and glowing embers&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;text_labels&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;とろける旨さ!&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;{argument name=\&amp;#34;food item\&amp;#34; default=\&amp;#34;黒毛和牛\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;贅沢ステーキ&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;期間限定&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;特別価格&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;通常価格 8,980円&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;4,980円&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;badges&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;count&amp;#34;: 1,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;style&amp;#34;: &amp;#34;red circular&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;labels&amp;#34;: [&amp;#34;A4 A5等級&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;bottom-right&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;theme&amp;#34;: &amp;#34;Online Education&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;subject&amp;#34;: &amp;#34;Young man in a blue shirt studying at a desk, writing in a notebook next to an open laptop.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;bright indoor lighting&amp;#34;, &amp;#34;desk environment&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;text_labels&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;スキマ時間で&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;{argument name=\&amp;#34;education goal\&amp;#34; default=\&amp;#34;最短合格!\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;オンライン資格講座&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;スマホで完結&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;効率学習で差がつく!&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;今だけ! 受講料 20%OFF&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;badges&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;count&amp;#34;: 1,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;style&amp;#34;: &amp;#34;blue circular&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;labels&amp;#34;: [&amp;#34;受講者数 10万人 突破!&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;icons&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;count&amp;#34;: 2,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;descriptions&amp;#34;: [&amp;#34;smartphone&amp;#34;, &amp;#34;open book&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫角色品牌识别与周边展示板&#34;&gt;动漫角色品牌识别与周边展示板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/chi_vc_/status/2046061073720369228&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/chi_vc_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@chi_vc_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/001.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/001_hu_6a8012585d54d59a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/001_hu_e92905938aad48d5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫角色品牌识别与周边展示板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;42
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;43
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;44
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;45
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;46
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;47
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;48
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;49
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;brand identity and merchandise design board&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;theme&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;color_palette&amp;#34;: &amp;#34;{argument name=\&amp;#34;theme color\&amp;#34; default=\&amp;#34;pastel pink\&amp;#34;} and white&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;motif&amp;#34;: &amp;#34;{argument name=\&amp;#34;motif\&amp;#34; default=\&amp;#34;cherry blossoms\&amp;#34;} and pink hearts&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;character&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;description&amp;#34;: &amp;#34;anime girl with short brown bob hair, pink eyes, wearing a white hoodie, gentle smile&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;branding&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;main_logo&amp;#34;: &amp;#34;{argument name=\&amp;#34;character name\&amp;#34; default=\&amp;#34;癒音ちー\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;sub_logo&amp;#34;: &amp;#34;{argument name=\&amp;#34;character subtext\&amp;#34; default=\&amp;#34;ゆおんちー\&amp;#34;}&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;sections&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;type&amp;#34;: &amp;#34;header banner&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;top&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;large main logo&amp;#34;, &amp;#34;sub logo&amp;#34;, &amp;#34;cherry blossom graphics&amp;#34;, &amp;#34;character portrait on the right&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;type&amp;#34;: &amp;#34;product packaging&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;middle left&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;1 square box with heart-shaped transparent window showing pink heart candies&amp;#34;, &amp;#34;character illustration on box&amp;#34;, &amp;#34;2 individual candy wrappers&amp;#34;, &amp;#34;5 scattered heart candies&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;type&amp;#34;: &amp;#34;promotional poster&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;middle right&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;character portrait&amp;#34;, &amp;#34;heart-shaped candy bowl&amp;#34;, &amp;#34;main logo&amp;#34;, &amp;#34;text &amp;#39;4.26 NEW OPEN&amp;#39;&amp;#34;, &amp;#34;text &amp;#39;{argument name=\&amp;#34;social handle\&amp;#34; default=\&amp;#34;@yuonchii\&amp;#34;}&amp;#39;&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;type&amp;#34;: &amp;#34;horizontal web banner&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;lower middle&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;main logo&amp;#34;, &amp;#34;cherry blossoms&amp;#34;, &amp;#34;character portrait on the right&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;type&amp;#34;: &amp;#34;social media profile mockup&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;bottom left&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;header image with logo&amp;#34;, &amp;#34;1 circular profile picture&amp;#34;, &amp;#34;handle &amp;#39;{argument name=\&amp;#34;social handle\&amp;#34; default=\&amp;#34;@yuonchii\&amp;#34;}&amp;#39;&amp;#34;, &amp;#34;1 follow button&amp;#34;, &amp;#34;mock bio text&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;type&amp;#34;: &amp;#34;merchandise collection&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;bottom right&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;count&amp;#34;: 9,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;items&amp;#34;: [&amp;#34;1 white t-shirt with logo&amp;#34;, &amp;#34;1 white mug with character&amp;#34;, &amp;#34;4 round pin badges&amp;#34;, &amp;#34;1 acrylic keychain&amp;#34;, &amp;#34;2 candy packets&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;深色模式营销案例-ui&#34;&gt;深色模式营销案例 UI
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/IndieDevHailey/status/2044974254769463312&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/IndieDevHailey&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@IndieDevHailey&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/002.webp&#34;
	width=&#34;569&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/002_hu_7b2c77f5b4960ac5.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/002_hu_6146746c8fe8f5d5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;深色模式营销案例 UI&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;47&#34;
		data-flex-basis=&#34;113px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;42
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;43
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;44
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;45
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;46
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;47
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;48
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;49
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;50
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;51
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;52
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;53
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;54
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;55
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;56
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;57
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;58
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;59
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;60
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;61
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;62
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;63
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;64
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;65
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;66
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;67
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;68
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;UI/UX landing page mockup&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;theme&amp;#34;: &amp;#34;dark mode, sleek modern aesthetic, glassmorphism, {argument name=\&amp;#34;primary accent color\&amp;#34; default=\&amp;#34;neon purple and blue\&amp;#34;} glowing accents&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;header&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;logo&amp;#34;: &amp;#34;{argument name=\&amp;#34;brand name\&amp;#34; default=\&amp;#34;goViralX\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;top_right_tag&amp;#34;: &amp;#34;VIRAL CAMPAIGN CASE STUDY&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;sections&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;name&amp;#34;: &amp;#34;Hero&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;headline&amp;#34;: &amp;#34;{argument name=\&amp;#34;hero headline\&amp;#34; default=\&amp;#34;How We Created 10M+ Viral Impact\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;subheadline&amp;#34;: &amp;#34;3天引爆全网, 助力品牌实现指数级增长&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;stats_row&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;count&amp;#34;: 4,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;labels&amp;#34;: [&amp;#34;总播放量&amp;#34;, &amp;#34;互动率&amp;#34;, &amp;#34;转化咨询&amp;#34;, &amp;#34;执行周期&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;values&amp;#34;: [&amp;#34;{argument name=\&amp;#34;main statistic\&amp;#34; default=\&amp;#34;10,240,000+\&amp;#34;}&amp;#34;, &amp;#34;18.7%&amp;#34;, &amp;#34;3,200+&amp;#34;, &amp;#34;72小时&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;visual&amp;#34;: &amp;#34;cinematic shot of a person in a hoodie looking at glowing digital screens and graphs, large play button overlay&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;name&amp;#34;: &amp;#34;Strategy&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;Our 3-Day Execution Strategy&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;layout_type&amp;#34;: &amp;#34;vertical timeline&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;steps_count&amp;#34;: 3,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements_per_step&amp;#34;: [&amp;#34;timeline node&amp;#34;, &amp;#34;title&amp;#34;, &amp;#34;bullet points&amp;#34;, &amp;#34;video thumbnail with play button&amp;#34;, &amp;#34;description box&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;name&amp;#34;: &amp;#34;Performance&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;Data-Driven Performance&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;left_column&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;stat_cards_count&amp;#34;: 4,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;values&amp;#34;: [&amp;#34;10M+&amp;#34;, &amp;#34;43%&amp;#34;, &amp;#34;28,000+&amp;#34;, &amp;#34;3,200+&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;right_column&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;charts_count&amp;#34;: 2,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;chart_1&amp;#34;: &amp;#34;line graph showing 7-day growth peaking at Day 3&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;chart_2&amp;#34;: &amp;#34;horizontal segmented bar chart showing platform distribution (TikTok 52%, Instagram 24%, X 15%, YouTube 9%)&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;name&amp;#34;: &amp;#34;Keys to Success&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;The 3 Keys to Viral Success&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;cards_count&amp;#34;: 3,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;card_elements&amp;#34;: [&amp;#34;glowing icon (fire, target, antenna)&amp;#34;, &amp;#34;title&amp;#34;, &amp;#34;description&amp;#34;, &amp;#34;VIEW DETAIL link&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;name&amp;#34;: &amp;#34;Social Proof&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;TRUSTED BY CREATORS &amp;amp; BRANDS&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;left_column&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;logos_count&amp;#34;: 8,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;grid&amp;#34;: &amp;#34;2x4&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;brands&amp;#34;: [&amp;#34;SHEIN&amp;#34;, &amp;#34;SHOPLINE&amp;#34;, &amp;#34;Blueglass&amp;#34;, &amp;#34;instacart&amp;#34;, &amp;#34;lemon8&amp;#34;, &amp;#34;mi&amp;#34;, &amp;#34;CIDER&amp;#34;, &amp;#34;bellroy&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;right_column&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;testimonial_cards_count&amp;#34;: 2,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;          &amp;#34;elements&amp;#34;: [&amp;#34;quote&amp;#34;, &amp;#34;author title (SaaS Founder, Growth Manager)&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;name&amp;#34;: &amp;#34;Call to Action&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;READY TO GO VIRAL?&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;interactive_elements&amp;#34;: [&amp;#34;text input field&amp;#34;, &amp;#34;glowing button with text &amp;#39;{argument name=\&amp;#34;call to action text\&amp;#34; default=\&amp;#34;获取专属增长方案 -&amp;gt;\&amp;#34;}&amp;#39;&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;visual&amp;#34;: &amp;#34;3D render of a rocket ship taking off with purple and blue flames&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;18-页吉祥物品牌识别文档&#34;&gt;18 页吉祥物品牌识别文档
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Colin_Leeee/status/2044802802149650631&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Colin_Leeee&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Colin_Leeee&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/003.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/003_hu_38654e96cad54ea8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/003_hu_b4c26ee66844dace.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;18 页吉祥物品牌识别文档&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;80
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;81
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;82
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;83
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;84
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;85
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;86
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;18-panel brand identity and character design document&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;brand&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;name&amp;#34;: &amp;#34;{argument name=\&amp;#34;brand name\&amp;#34; default=\&amp;#34;沐阳 MUYANG TEA\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;industry&amp;#34;: &amp;#34;{argument name=\&amp;#34;industry\&amp;#34; default=\&amp;#34;tea shop\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;colors&amp;#34;: [&amp;#34;{argument name=\&amp;#34;primary color\&amp;#34; default=\&amp;#34;yellow\&amp;#34;}&amp;#34;, &amp;#34;{argument name=\&amp;#34;secondary color\&amp;#34; default=\&amp;#34;green\&amp;#34;}&amp;#34;, &amp;#34;white&amp;#34;, &amp;#34;brown&amp;#34;, &amp;#34;dark green&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;subject&amp;#34;: &amp;#34;{argument name=\&amp;#34;character description\&amp;#34; default=\&amp;#34;3D rendered cute Shiba Inu mascot wearing a green apron\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;grid&amp;#34;: &amp;#34;3 columns by 6 rows&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;sections&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;01 品牌DNA分析 / BRAND DNA ANALYSIS&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;logo&amp;#34;, &amp;#34;5 color swatches&amp;#34;, &amp;#34;6 icons&amp;#34;, &amp;#34;target audience charts&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;02 概念构思 / CONCEPT MOODBOARD&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;5 photo references&amp;#34;, &amp;#34;4 mood icons&amp;#34;, &amp;#34;design equation&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;03 形态研究 / FORM STUDY&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;4 logo anatomy icons&amp;#34;, &amp;#34;4 evolution steps&amp;#34;, &amp;#34;4 silhouettes&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;04 概念探索 / CONCEPT EXPLORATION&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;12 line-art character sketches&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;05 精细线稿 / REFINED LINE ART&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;3 rows of front and side line art with proportion guides&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;06 细节精修 / DETAIL REFINEMENT&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;2 full-body renders with labels&amp;#34;, &amp;#34;4 circular close-ups&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;07 表情设定 / EXPRESSION SHEET&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;11 3D rendered head expressions&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;08 姿势库 / POSE LIBRARY&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;9 full-body 3D rendered poses&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;09 转身视图 / TURNAROUND VIEW&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;5 full-body 3D renders&amp;#34;, &amp;#34;5 matching line-art views&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;10 色彩开发 / COLOR DEVELOPMENT&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;5 rows of 5-color palettes&amp;#34;, &amp;#34;color psychology text&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;11 材质规格 / MATERIAL SPECIFICATION&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;5 texture swatches&amp;#34;, &amp;#34;property sliders&amp;#34;, &amp;#34;4 manufacturing icons&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;12 色彩应用 / COLOR APPLICATION&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;4 color variant renders&amp;#34;, &amp;#34;2 light/dark renders&amp;#34;, &amp;#34;4 contrast rating circles&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;13 构造指南 / CONSTRUCTION GUIDE&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;2 line-art diagrams for geometry and grid&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;14 设计系统规则 / DESIGN SYSTEM RULES&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;minimum size icons&amp;#34;, &amp;#34;clear space diagram&amp;#34;, &amp;#34;4 usage examples&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;15 资产变体 / ASSET VARIANTS&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;3 size variants&amp;#34;, &amp;#34;3 line-art variants&amp;#34;, &amp;#34;3 simplified flat heads&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;16 数字应用 / DIGITAL APPLICATIONS&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;1 app icon&amp;#34;, &amp;#34;2 social avatars&amp;#34;, &amp;#34;UI elements&amp;#34;, &amp;#34;3-step animation cycle&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;17 实物应用 / PHYSICAL APPLICATIONS&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;plush toy mockup&amp;#34;, &amp;#34;packaging mockup&amp;#34;, &amp;#34;merchandise mockup&amp;#34;, &amp;#34;storefront mockup&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;18 最终主视觉 / FINAL RENDERING&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;elements&amp;#34;: [&amp;#34;large high-res 3D render of mascot holding tea&amp;#34;, &amp;#34;logo&amp;#34;, &amp;#34;file format list&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日式中餐外卖传单&#34;&gt;日式中餐外卖传单
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/xc5_/status/2048310696686014935&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/xc5_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@xc5_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/004.webp&#34;
	width=&#34;896&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/004_hu_1975f05f33c39ac1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/004_hu_52b41b2a6d938981.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日式中餐外卖传单&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A Japanese neighborhood Chinese restaurant delivery flyer for mailbox posting (3:4 aspect ratio). Designed to look like a double-sided B5 print.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Flyer characteristics (following the grammar of real delivery flyers):
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Flashy red and yellow color scheme.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Large text at the top: &amp;#34;Delivery Available! {argument name=&amp;#34;shop name&amp;#34; default=&amp;#34;Mona-Hanten&amp;#34;}&amp;#34; (shadowed Gothic font).
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- An illustration of a {argument name=&amp;#34;character&amp;#34; default=&amp;#34;Chinese girl in a red cheongsam with a brown short bob&amp;#34;} holding ramen and saying &amp;#34;Welcome!&amp;#34; in a speech bubble.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- A menu photo grid (4x3) featuring various dishes: different types of ramen, fried rice, gyoza, sweet and sour pork, shrimp in chili sauce, mapo tofu, liver and leek stir-fry, tenshinhan, twice-cooked pork, spring rolls, annin tofu, and fried rice sets.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Names and prices for each dish.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- A large yellow banner saying &amp;#34;Free delivery on all menu items over ¥1,000!&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- &amp;#34;Order by phone! ☎ 072-XX-XXXX&amp;#34; emphasized with a red circle.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Business hours &amp;#34;11:00-22:00 (Closed on Tuesdays)&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Delivery area map (simple schematic map).
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Coupon (perforated line for clipping): &amp;#34;One free plate of gyoza with this flyer!&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Texture of cheap paper printing. Includes fold marks. Precision that could be mistaken for a real Japanese delivery flyer.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;粉彩水母房间商品海报&#34;&gt;粉彩水母房间商品海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Ayu_AI_0912/status/2048309565817766139&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Ayu_AI_0912&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Ayu_AI_0912&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/005.webp&#34;
	width=&#34;898&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/005_hu_f904a82df3a72a81.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/005_hu_b36028bbd48c5f54.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;粉彩水母房间商品海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;pastel lifestyle poster / character room-goods feature sheet&amp;#34;,&amp;#34;theme&amp;#34;:&amp;#34;soft dreamy lavender jellyfish aesthetic&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;Japanese cute editorial graphic, airy white background, pastel lilac palette, delicate handwritten notes, sparkles and tiny doodles, soft product photography mixed with magazine layout&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;character&amp;#34;:{&amp;#34;name&amp;#34;:&amp;#34;{argument name=\&amp;#34;character name\&amp;#34; default=\&amp;#34;くらげちゃん\&amp;#34;}&amp;#34;,&amp;#34;appearance&amp;#34;:&amp;#34;young woman with a short platinum-blonde bob haircut, wearing a fluffy pale-lavender zip hoodie over a white inner top, shown from chest up on the lower right, face intentionally obscured with a plain beige rectangle&amp;#34;}},&amp;#34;layout&amp;#34;:{&amp;#34;orientation&amp;#34;:&amp;#34;vertical poster&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;clean white with faint pastel doodles of stars, bubbles, tiny jellyfish, and musical notes&amp;#34;,&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;header&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top&amp;#34;,&amp;#34;count&amp;#34;:5,&amp;#34;labels&amp;#34;:[&amp;#34;speech bubble intro&amp;#34;,&amp;#34;main title&amp;#34;,&amp;#34;small subtitle GOODS&amp;#34;,&amp;#34;horizontal lavender ribbon tagline&amp;#34;,&amp;#34;round badge on the top right&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;featured goods grid&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper and middle left&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;ゆらゆらくらげランプ&amp;#34;,&amp;#34;くらげと夢見るベッドリネン&amp;#34;,&amp;#34;くらげシェルミラー&amp;#34;,&amp;#34;くらげグラデマグ&amp;#34;,&amp;#34;くらげのときめき収納ボックス&amp;#34;,&amp;#34;くらげふわもこマット&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;side handwritten note&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper right&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;みんなも くらげちゃんRoomで いっしょに まったりしよー♡♡&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;room concept box&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower left&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;くらげちゃんの お部屋作りのこだわり&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;pick up circle&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower center-left&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;Pick up!&amp;#34;]}],&amp;#34;product_images&amp;#34;:{&amp;#34;count&amp;#34;:6,&amp;#34;items&amp;#34;:[{&amp;#34;name&amp;#34;:&amp;#34;ゆらゆらくらげランプ&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;small translucent jellyfish-shaped lamp on a white base, glowing softly in pale blue-lavender&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;くらげと夢見るベッドリネン&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;plush pastel-lavender bed with fluffy comforter and pillows, dreamy cozy bedroom styling&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;くらげシェルミラー&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;small tabletop mirror with a puffy shell-like pastel-lilac frame and rounded base&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;くらげグラデマグ&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;ceramic mug with lavender-to-pink gradient and a simple jellyfish illustration&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;くらげのときめき収納ボックス&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;pastel storage box holding cosmetics and small bottles, decorated with a jellyfish emblem&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;くらげふわもこマット&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;small fluffy cloud-like or jellyfish-like mat in pale lavender and white&amp;#34;}]},&amp;#34;text_elements&amp;#34;:{&amp;#34;main_title&amp;#34;:&amp;#34;{argument name=\&amp;#34;headline text\&amp;#34; default=\&amp;#34;くらげちゃんの お部屋アイテム\&amp;#34;}&amp;#34;,&amp;#34;badge_text&amp;#34;:&amp;#34;くらげちゃんの Room お部屋作りの こだわりポイントも 教えちゃうよ。&amp;#34;,&amp;#34;tagline&amp;#34;:&amp;#34;ふわふわで甘くて、ちょっぴり夢みたいな私のお部屋へようこそ♡&amp;#34;,&amp;#34;speech_bubble&amp;#34;:&amp;#34;くらげちゃんの お気に入りだけ集めた お部屋アイテムを紹介するよ♪&amp;#34;,&amp;#34;concept_points&amp;#34;:{&amp;#34;count&amp;#34;:3,&amp;#34;items&amp;#34;:[&amp;#34;色は白とラベンダーで統一!&amp;#34;,&amp;#34;光が集まるふわっとした空間に&amp;#34;,&amp;#34;お友達入りのアイテムに囲まれて 自分らしくいられる空間を大切にしてるよ♪&amp;#34;]},&amp;#34;product_blurbs&amp;#34;:&amp;#34;each product has a short handwritten Japanese description in a cute casual font beside or below the image&amp;#34;},&amp;#34;composition&amp;#34;:&amp;#34;the poster is left-heavy with product cards and text, while the character portrait occupies the lower right third, slightly overlapping the layout&amp;#34;,&amp;#34;color_palette&amp;#34;:{&amp;#34;count&amp;#34;:5,&amp;#34;colors&amp;#34;:[&amp;#34;white&amp;#34;,&amp;#34;pastel lavender&amp;#34;,&amp;#34;soft lilac&amp;#34;,&amp;#34;pale gray-violet&amp;#34;,&amp;#34;touches of pastel blue-pink gradient&amp;#34;]},&amp;#34;rendering_notes&amp;#34;:&amp;#34;keep everything very soft, feminine, and cozy; rounded corners on all product photos; mix of bold Japanese headline typography and light handwritten annotations; subtle shadows; clean high-key lighting; social-media-ready editorial collage aesthetic&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;魔法种子包装微缩场景&#34;&gt;魔法种子包装微缩场景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AllaAisling/status/2048156345518768190&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AllaAisling&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AllaAisling&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/006.webp&#34;
	width=&#34;1200&#34;
	height=&#34;801&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/006_hu_444babc81c045359.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/006_hu_b9411ae15ce3b04.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;魔法种子包装微缩场景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;149&#34;
		data-flex-basis=&#34;359px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Epic 3D scene: a weathered seed packet lying open on a potting bench, its promise erupting into the garden it describes. The illustration on the front becomes real. {argument name=&amp;#34;plant type&amp;#34; default=&amp;#34;[PLANT / FLOWER]&amp;#34;} growing at full scale from the paper, roots visible through the packet&amp;#39;s base pushing into soil below.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;detail left&amp;#34; default=&amp;#34;[DETAIL 1]&amp;#34;} in full bloom at one corner. {argument name=&amp;#34;detail right&amp;#34; default=&amp;#34;[DETAIL 2]&amp;#34;} mid-growth at the other, not yet what it will be.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Tiny insects that belong to this plant, {argument name=&amp;#34;insect type&amp;#34; default=&amp;#34;[BEE / BUTTERFLY / BEETLE]&amp;#34;}, hovering at correct scale.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The written instructions on the back become garden calendar, &amp;#34;sow in spring&amp;#34; manifests as actual spring light. &amp;#34;full sun&amp;#34; manifests as a single shaft of it, hitting the tallest bloom perfectly.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Scattered seeds between packet and soil each showing their germination stage, split coat, first root, first shoot, first leaf.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The packet&amp;#39;s torn top edge becomes a treeline.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Potting bench surface with soil scatter and water droplets.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Tilt-shift depth of field, greenhouse morning light, the packet as the garden it always intended.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华计时腕表广告&#34;&gt;奢华计时腕表广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AlwaveNazca/status/2048147643809865950&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AlwaveNazca&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AlwaveNazca&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/007.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/007_hu_53f7b8075433d847.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/007_hu_6b013650585f2bb7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华计时腕表广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dramatic luxury product advertising image for a motorsport-inspired chronograph wristwatch in a dark studio. Center-left foreground, show a single stainless steel chronograph watch standing upright at a slight three-quarter angle, with a black dial, two red-accent subdials, slim silver hour markers, a tachymeter bezel, and visible crown and pushers on the right side. The watch has a black leather strap with bold red stitching along both edges and a sporty premium finish. To the right of the watch, place one black square presentation box slightly behind it, textured like leather, with red stitching around the lid and a silver embossed eye-shaped logo above the text “NESS STUDIO” and smaller red text “TRACK SURFACE.” At the top center of the composition, add the same silver eye logo with the words “NESS STUDIO” and smaller “BY NICOLAS.” Across the background, place one oversized blurred word, {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;PRECISION&amp;#34;}, in large gray capital letters spanning nearly the full width. The scene is set against a deep black background with cinematic red and white horizontal light streaks crossing behind the products from left to right, suggesting speed and racetrack energy. Use a glossy wet ground plane with reflective texture, catching red highlights and mirrorlike reflections beneath the watch and box. At the bottom center, add the text “CHRONOGRAPH SERIES” in clean white spaced capitals with thin red horizontal lines extending on both sides, and below it smaller red capitals reading {argument name=&amp;#34;tagline text&amp;#34; default=&amp;#34;ALSACE MADE&amp;#34;}. Color palette: black, charcoal gray, silver steel, vivid racing red, and a touch of white. Lighting should be high-contrast and premium, with crisp specular highlights on the metal case, subtle soft fill on the box, and moody shadows. Overall style: ultra-polished commercial product photography, luxury watch campaign, sharp focus on the products, sleek branding, high-end automotive aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;霓虹-nike-lumina-广告海报&#34;&gt;霓虹 Nike Lumina 广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AlwaveNazca/status/2048147643809865950&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AlwaveNazca&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AlwaveNazca&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/008.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/008_hu_3e7d872b50e43c6a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/008_hu_2465c5288bde964a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;霓虹 Nike Lumina 广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-energy vertical Nike fashion campaign poster featuring a single athletic young woman mid-jump against a futuristic neon studio background. She is captured in a dynamic airborne pose with one knee bent up, the other leg folded back, one arm extended outward and the other bent near her chest, conveying motion and power. Her face is obscured by a clean rectangular blur block centered over the face. She wears a cropped iridescent white hooded windbreaker with a black zipper and small Nike logo on the chest, holographic metallic lavender-blue leggings with a subtle Nike swoosh on the thigh, a black branded waistband visible above the leggings, and white chunky Nike sneakers. Her brown hair is tied in a high ponytail flying outward with the jump. Behind her, enormous glowing white serif letters spell “NIKE” across the upper half, with a small white Nike swoosh centered above the word. Across the middle background, the phrase “LUMINA” appears once in wide bold glowing letters with a horizontal glitch and scanline distortion effect, partially obscured by the model. The color palette is saturated magenta, violet, cyan, and electric blue with strong bloom, glossy highlights, lens flares, and chromatic aberration. Add sweeping circular light trails wrapping around the model’s legs and body, suggesting speed and motion. The overall style is premium sportswear advertising, ultra-polished, cinematic, high contrast, hyperreal retouching, crisp product detail, dramatic rim lighting, and a luminous holographic aesthetic. Place 2 small text lines at the bottom: bottom left reads {argument name=&amp;#34;tagline text&amp;#34; default=&amp;#34;LIGHT. MOTION. ENERGY.&amp;#34;}, bottom right reads {argument name=&amp;#34;collection name&amp;#34; default=&amp;#34;NIKE LUMINA COLLECTION&amp;#34;} followed by a small Nike swoosh. Include exactly 3 visible Nike swooshes total: 1 above the large NIKE headline, 1 on the jacket chest, and 1 on the leggings.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;街头潮鞋广告海报&#34;&gt;街头潮鞋广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AlwaveNazca/status/2048147643809865950&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AlwaveNazca&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AlwaveNazca&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/009.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/009_hu_b072e862c874c197.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/009_hu_f2d16261ff61d346.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;街头潮鞋广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a bold streetwear poster advertisement for {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;NESS STUDIO&amp;#34;} featuring a young adult model seated casually on the ground in a low-angle fashion pose, one knee raised and one leg extended toward the camera so the sneaker in front appears oversized and dominant. The model wears a dark brown oversized leather bomber jacket, a black shirt, light blue loose-fit jeans, white socks, and chunky black-white-gray sneakers with a red accent in the sole and the {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;NESS STUDIO&amp;#34;} logo visible on the shoe side and tongue. The face is intentionally obscured by a soft rectangular blur block centered over the face. Use an off-white textured paper background with distressed grunge design elements and collage layering. Behind the model, place a large rough red paint brushstroke shape spanning diagonally across the center. Add black ink splatters, sketch circles, torn paper scraps, and hand-painted graffiti accents. Include 4 major graphic doodles: a large black X in the upper right, a hand-drawn upward arrow in the lower left, a rough crown sketch in the lower right, and a circular scribble near the top center. In the upper left, place a stylized eye logo above the text &amp;#34;{argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;NESS STUDIO&amp;#34;}&amp;#34; and a smaller tagline below reading &amp;#34;A MOMENT OF YOUR STYLE&amp;#34;. On the left middle area, add the handwritten slogan &amp;#34;INNOVATE CREATE INSPIRE&amp;#34; in stacked black brush lettering. On the right middle area, place a torn black paper patch with the handwritten white slogan &amp;#34;BUILT DIFFERENT MOVE DIFFERENT&amp;#34; and a red underline stroke. In the lower left near the shoe, add a black distressed label sticker containing a globe scribble, the text &amp;#34;{argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;NESS STUDIO&amp;#34;}&amp;#34;, and a barcode. Along the bottom footer, create a clean horizontal strip with 3 social media icons and handles separated by thin vertical dividers: Instagram, Facebook, and Twitter, each followed by &amp;#34;@NESS.STUDIO&amp;#34;. The overall style should be edgy, urban, youthful, high-contrast, editorial street fashion, mixing product advertising photography with graffiti poster design, collage textures, and dynamic branding.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;编辑风-osaka-six-卫衣广告&#34;&gt;编辑风 Osaka Six 卫衣广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/_LaurentB/status/2048126606313464040&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/_LaurentB&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@_LaurentB&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/010.webp&#34;
	width=&#34;675&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/010_hu_7de8847fc2baaabb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/010_hu_78efa95ff3f40433.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;编辑风 Osaka Six 卫衣广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A clean editorial fashion advertisement poster on a pale powder-blue studio background with a glossy reflective floor. The composition is vertical and minimal, dominated by oversized bold white condensed sans-serif typography in the background reading “OSAKA SIX:” on the top line and “006 REMAINS” below, filling most of the upper half behind the subject. In the top right corner, small white branding text reads “Designed by ARTTEESHOW.” Centered in the lower middle is an oversized forest-green crewneck sweatshirt standing upright like a sculptural object, with soft heavy cotton fabric, dropped shoulders, extra-long sleeves pooled on the floor, and a small black neck label that reads ARTTEESHOW. On the chest of the sweatshirt is a large abstract collage print made from torn paper fragments in beige, tan, black, gray, white, and vivid red, arranged vertically like layered scraps. Leaning against the right side of the giant sweatshirt is a slim female fashion model with long straight black hair, wearing a matching {argument name=&amp;#34;sweatshirt color&amp;#34; default=&amp;#34;forest green&amp;#34;} sweatshirt and relaxed wide-leg sweatpants with clean white low-top sneakers. She is posed in profile with a calm detached editorial attitude, one hand in her pocket, her body reclining diagonally against the giant garment, legs extended forward; her face is obscured by a soft rectangular blur for an anonymous art-fashion look. The smaller worn sweatshirt has the same abstract torn-paper collage graphic centered on the chest. At the bottom center, add 2 lines of small white copy text: “Made for comfort, worn for confidence.” and “Because life feels better when someone’s carrying the weight of the world.” The image should feel like a premium conceptual streetwear campaign from the early 1990s reimagined as contemporary luxury advertising, with crisp studio lighting, soft shadows, subtle floor reflections, precise product focus, surreal scale contrast between the oversized sweatshirt and the model, and a polished magazine-poster aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;editorial-perfume-shot-on-moss&#34;&gt;Editorial Perfume Shot on Moss
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Salmaaboukarr/status/2048103506125463983&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Salmaaboukarr&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Salmaaboukarr&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/011.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/011_hu_58556ac875587cf0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/011_hu_37ab90329d9dc54.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Editorial Perfume Shot on Moss&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-end editorial product photograph of a single luxury perfume bottle centered in a warm earthy still-life scene. The product is a clear rectangular glass bottle filled with golden amber liquid, topped with a glossy rounded black cap, with a clean white front label that reads &amp;#34;BYREDO&amp;#34;, &amp;#34;BAL D’AFRIQUE&amp;#34;, and &amp;#34;EAU DE PARFUM&amp;#34;. Place the bottle upright on 1 curved piece of pale weathered driftwood, surrounded by a dense carpet of 1 layer of rich green moss covering the foreground and lower frame. Use a minimal studio composition with the product isolated against a smooth warm brown-to-amber gradient background, softly illuminated like sunset light. Light the scene with dramatic directional warm light from the upper right, creating a bright glow on the background, a crisp highlight on the cap, soft reflections in the glass, and gentle shadows across the wood and moss. Keep the framing vertical, the bottle centered slightly low in the composition with generous negative space above, and the overall mood natural, luxurious, earthy, cinematic, and polished like a premium fragrance campaign shot.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;金色皮草中的编辑风香水瓶&#34;&gt;金色皮草中的编辑风香水瓶
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Salmaaboukarr/status/2048103506125463983&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Salmaaboukarr&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Salmaaboukarr&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/012.webp&#34;
	width=&#34;420&#34;
	height=&#34;525&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/012_hu_73064ca43b4caaf4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/012_hu_9004ce57fc60b92a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;金色皮草中的编辑风香水瓶&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A luxurious editorial product photograph of a single perfume bottle nestled into dense, plush faux fur in rich golden caramel and honey-brown tones. Center the composition on one clear oval glass bottle filled with warm amber liquid, with a glossy rounded black cap and a clean white rectangular label. The label text should read {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;BYREDO&amp;#34;} at the top, {argument name=&amp;#34;product name&amp;#34; default=&amp;#34;BAL D’AFRIQUE&amp;#34;} large in the middle, and {argument name=&amp;#34;product type&amp;#34; default=&amp;#34;EAU DE PARFUM&amp;#34;} in small text near the bottom. Shoot it as a close-up still life with soft studio lighting, subtle highlights on the glass and cap, gentle shadows in the folds of the fur, and a warm cinematic color palette. The bottle should sit slightly embedded in the fur so the surrounding texture frames it from all sides, creating a premium fashion editorial mood, minimal composition, shallow depth of field, crisp focus on the label, and a high-end beauty campaign aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华-miniature-dubai-city-model&#34;&gt;奢华 Miniature Dubai City Model
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/silentempiredev/status/2048086378383384773&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/silentempiredev&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@silentempiredev&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/013.webp&#34;
	width=&#34;1199&#34;
	height=&#34;685&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/013_hu_bd1831eec05090ea.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/013_hu_57037a0472ed195f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华 Miniature Dubai City Model&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;175&#34;
		data-flex-basis=&#34;420px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A hyper-detailed cinematic isometric miniature city model of {argument name=&amp;#34;landmark tower&amp;#34; default=&amp;#34;Burj Khalifa&amp;#34;} rising dramatically from the center of a square architectural master-plan board, presented like a luxury urban planning maquette on a black background. The composition shows one dominant ultra-tall silver skyscraper in the exact center, surrounded by a dense ring of modern high-rise towers, illuminated roads, bridges, and glowing warm city lights. Curving turquoise-blue water features and artificial lakes wrap around the central district in multiple connected pools and canals, with one large circular fountain-like feature near the tower base and several small island shapes visible in the water. In the lower right quadrant, include a large low-rise complex with rounded geometric roofs and subtle green-lit sections, connected by multilane roads and looping interchanges. The entire city sits on one square beige map board engraved with faint street grids and planning lines, with the board edges clearly visible and slightly raised. Viewpoint is a high three-quarter isometric angle, centered and symmetrical, with the tower extending far upward into negative space. Lighting is dramatic and luxurious: warm golden edge lights on buildings and roads, cool reflections in the water, crisp metallic highlights on the central tower, and a deep black void surrounding the model. Style should feel like a photorealistic architectural visualization mixed with a premium collectible scale model, extremely intricate, sharp, polished, and elegant.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;戏仿奢侈品广告&#34;&gt;戏仿奢侈品广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/tonysimons_/status/2048057490940596595&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/tonysimons_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@tonysimons_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/014.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/014_hu_9f0c8e2d76f0f3a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/014_hu_580b634c7e74ca8c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;戏仿奢侈品广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-impact parody e-commerce infographic for “{argument name=&amp;#34;product&amp;#34; default=&amp;#34;Four Loko&amp;#34;}” malt beverage. Foreground: An extreme close-up of a rough, weathered hand holding a tall, brightly colored can of {argument name=&amp;#34;product&amp;#34; default=&amp;#34;Four Loko&amp;#34;} toward the camera. The can is slightly cold with visible condensation droplets and a loud, chaotic flavor design. The hand and can have a slight macro-lens blur for depth, with the can still reading clearly as the hero product. Central Subject: In the mid-ground, a funny, disheveled {argument name=&amp;#34;subject&amp;#34; default=&amp;#34;homeless-looking man&amp;#34;} sitting casually on a milk crate in an urban alley. He has a scruffy beard, messy hair, layered worn clothing, and a huge unbothered grin. He should look chaotic but oddly charismatic, like the accidental king of bad decisions. He is posed like a confident lifestyle-ad model, proudly showing off the can. Background &amp;amp; Lighting: A ridiculously polished ad-style backdrop mixed with a grimy city alley setting. Soft-focus urban textures, dumpster shapes, graffiti hints, and scattered clutter in the distance. Add dramatic studio lighting, soft glow, rainbow prism flares, and subtle light leaks to make the whole thing look way too premium for the subject matter. A few blurred {argument name=&amp;#34;product&amp;#34; default=&amp;#34;Four Loko&amp;#34;} cans can float artistically in the background for extra absurdity. Typography &amp;amp; Layout (Bold sans-serif, white and neon accent styling): Top Center (Background): Massive, bold text reading “{argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;FOUR LOKO&amp;#34;}” positioned behind the subject. Top Right: Bold text reading “The Champagne of Bad Ideas”. Mid-Left: “Premium chaos and zero self-control” Mid-Right: Large, bold “23” with the text “ounces of terrible decisions.” Bottom-Right: Large, bold “1&amp;#34; with the text “can to ruin tomorrow.” Optional small callout text near the bottom: “Now with more regret.” Style: Ultra-detailed, 8k parody commercial photography, sharp focus on the can, shallow depth of field, vibrant trashy color palette, clean advertising composition, exaggerated premium product-ad aesthetic, funny visual contrast between polished branding and the wrecked subject.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;vr-headset-exploded-view-海报&#34;&gt;VR Headset Exploded View 海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/wory37303852/status/2045925660401795478&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/wory37303852&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@wory37303852&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/015.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/015_hu_e4202369328020d9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/015_hu_8571ff57bc5363a0.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;VR Headset Exploded View 海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;exploded view product diagram poster&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;subject&amp;#34;: &amp;#34;VR headset&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;style&amp;#34;: &amp;#34;clean high-tech 3D render, studio lighting, glowing accents&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;background&amp;#34;: &amp;#34;{argument name=\&amp;#34;background color\&amp;#34; default=\&amp;#34;soft purple and blue gradient\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;header&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;logo&amp;#34;: &amp;#34;∞ {argument name=\&amp;#34;product name\&amp;#34; default=\&amp;#34;Meta Quest 3\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;subtitle&amp;#34;: &amp;#34;{argument name=\&amp;#34;main catchphrase\&amp;#34; default=\&amp;#34;まったく新しい現実を、まったく新しい構造から。\&amp;#34;}&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;centerpiece&amp;#34;: &amp;#34;vertically stacked exploded view of a VR headset showing 9 distinct layers of internal components: outer shell, camera sensors, motherboard with chip, pancake lenses, internal frame, battery packs, side straps, top strap, and facial interface cushion.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;callout_labels&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;count&amp;#34;: 8,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;left_side&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Snapdragon® XR2 Gen 2\n圧倒的な処理性能でリアルタイムな体験を。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;調整可能なIPD機構\n幅広いユーザーに快適なフィット感を。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;精密設計されたヘッドストラップ\n快適さと安定性を追求したエルゴノミクス。&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;right_side&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;フェイスプレート\n洗練されたデザインと最適な重量バランス。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;トラッキングカメラ\n高精度な位置トラッキングと環境認識を実現。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;パンケーキレンズ\n薄型設計で広い視野角と鮮明な映像を提供。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;高性能バッテリー\n長時間駆動を支える最適化された電源設計。&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;柔らかなフェイスインターフェース\n長時間でも快適な装着感を実現。&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;footer&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;left_text_block&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;headline&amp;#34;: &amp;#34;{argument name=\&amp;#34;bottom headline\&amp;#34; default=\&amp;#34;体験は、構造から進化する。\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;body&amp;#34;: &amp;#34;一つひとつのパーツに、没入体験を支える最先端テクノロジーとこだわりの設計。Meta Quest 3は、未来を感じさせる体験を内部から生み出しています。&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;right_logo&amp;#34;: &amp;#34;∞ Meta&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;虚构-ai-广告打印机奢华海报&#34;&gt;虚构 AI 广告打印机奢华海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/nijisora_yuma/status/2049462065639858687&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/nijisora_yuma&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@nijisora_yuma&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/016.webp&#34;
	width=&#34;896&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/016_hu_f1558c734cabdcd9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/016_hu_b0414569d42985bc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;虚构 AI 广告打印机奢华海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;縦型3:4の、高級商業ポスターを制作してください。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;テーマは、架空の新商品広告です。商品は「BRAND PRESS 01（ブランドプレス・ゼロワン）」という、Pollo AIを搭載した架空の広告ポスター生成プリンターです。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;この商品は、まだ存在しないブランド名・商品ジャンル・世界観・ターゲット層を入力すると、Pollo AIがコピー、ビジュアル、レイアウトまで完成された商業広告ポスターを自動生成し、高精細な印刷物としてその場で出力する未来型プリンターです。単なるAIサービスの概念広告ではなく、実際に販売されていそうな架空商品の広告として成立させてください。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;メインコンセプト: 「まだないブランドに、最初の一目惚れを。」
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;商品ビジュアル: 画面中央に実物の商品「BRAND PRESS 01」を大きく配置。未来型の高級プロ用印刷デバイスとして、黒い金属筐体、シルバーのエッジ、透明カバー、青白く発光するAIコア、精密な印刷ヘッド、ローラー、タッチパネル、排紙スロット、ポスター受けトレイを備える。排紙スロットから、架空の高級香水ブランド広告ポスターが紙として大きく出力されている構図。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;構図: ややローアングル、斜め45度。背景は暗いネイビーから黒の高級広告制作スタジオ。映画的でドラマチックな高級プロダクト広告。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;広告レイアウト: 上部に大きなキャッチコピー、中央にプリンター本体と排出中のポスター、右側に機能説明、左下に価格と発売日、下部にCTA。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;入れる文字: 「まだないブランドに、最初の一目惚れを。」 / BRAND PRESS 01 / 「Pollo AI搭載・広告ポスター生成プリンター」 / 「名前だけのアイデアを、完成された商業ポスターとして出力。」 / 「構想、コピー、ビジュアル、印刷まで。1台で。」
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华-chocolate-campaign-system&#34;&gt;奢华 chocolate campaign system
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07/status/2049459155086500321&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SPEEDAI07&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/017.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/017_hu_62b8746b955a3fad.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/017_hu_bbe920a4698343b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华 chocolate campaign system&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a premium, square (1:1) product advertisement for a fictional luxury chocolate brand called Noirvelle Chocolat, inspired by high-end chocolate brands. The ad should feel like a high-end editorial campaign, combining luxury food photography, refined packaging design, and cinematic lighting. Use matte black wrapper, subtle gold foil, elegant serif typography, and realistic product rendering. Generate flavor variants such as Blood Orange Noir, Salted Pistachio Muse, and Raspberry Ember with distinct mood, color palette, ingredients, headline, and supporting copy. Keep the chocolate bar as hero centerpiece with subtle reflections, shallow depth of field, luxury minimalism, and a small CTA: “Shop the drop.”
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;urban-fruit-juice-ad-海报&#34;&gt;Urban fruit juice ad 海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSarah_/status/2049452842931630202&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSarah_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIwithSarah_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/018.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/018_hu_f430dbb0b53aa34d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/018_hu_bfc913c0d69a3a17.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Urban fruit juice ad 海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a premium modern beverage advertisement poster in a vertical 3:4 format featuring a stylish young female model crouching confidently in a bright urban indoor hallway with colorful graffiti wall art on one side and clean minimal architecture on the other. In the foreground, a giant realistic fruit juice bottle is held toward the camera in forced perspective, with fictional branding like “VIVAJUICE”. Add brand logo, tagline, huge bold overlapping typography, four icon-based feature badges, and three smaller bottle variants at bottom right. Use soft natural lighting mixed with commercial studio polish, realistic shadows, shallow depth of field, glossy floor reflections, and a premium energetic eCommerce campaign aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/ad-creative.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: Character Design Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;Character Design&lt;/code&gt; cases: 13 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;character-design&#34;&gt;Character Design
&lt;/h2&gt;&lt;h3 id=&#34;动漫快照转换&#34;&gt;动漫快照转换
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Thereallo1026/status/2044241997163311569&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Thereallo1026&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Thereallo1026&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/000.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/000_hu_5fe4266b32ad16cf.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/000_hu_a1f3ef59923038a0.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫快照转换&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Show me the attached image as a snapshot from an actual anime
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;persona5-角色参考卡&#34;&gt;Persona5 角色参考卡
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/iamrednightS/status/2045075682837836265&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/iamrednightS&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@iamrednightS&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/001.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/001_hu_57be85d9a8e82c4a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/001_hu_776e82cda4697edc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Persona5 角色参考卡&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;基于此角色和背景，请制作一份类似官方设定资料的角色资料卡。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・包含三视图：正面、侧面和背面
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・添加角色面部表情的变化・分解并展示服装和装备的详细部分
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・添加色板・包含世界观设定的简要说明
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・总体上，使用有组织的布局（白色背景，插画风格）高分辨率、专业概念艺术风格
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;美少女游戏角色介绍页&#34;&gt;美少女游戏角色介绍页
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/09lyco/status/2045281845391323175&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/09lyco&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@09lyco&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/002.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/002_hu_c6045b71b70fa970.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/002_hu_4907ed0cfccb62c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;美少女游戏角色介绍页&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;最新モデルの画像生成ツールを使用して、
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;このちびキャライラストと立ち絵を使って本物のサイトページのようにキャラクター紹介ページ風イラストを作ってください。 （紹介ページとして使ってもおかしくないもの）
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ギャルゲーのキャラクター紹介ページをイメージした高品質なもの。 顔の差分なども乗っている、CGイラストが存在する。ちびキャラが存在する。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;「ここに自己紹介」
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;名前:（ここに名前） 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;イメージカラー:（ここに色） 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;身長:（ここに身長）cm 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;体重:（ここに体重）kg
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;キャッチコピー:&amp;#34;「ここにセリフ」&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;官方角色设定表日文&#34;&gt;官方角色设定表（日文）
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Toshi_nyaruo_AI/status/2045025277538107420&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Toshi_nyaruo_AI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Toshi_nyaruo_AI&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/003.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/003_hu_8b2c1f84cf9e3eab.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/003_hu_16e900efd803603e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;官方角色设定表（日文）&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;このキャラクターと背景を元に、 公式設定資料のようなキャラクターシートを作成してください。 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・正面、側面、背面の3面図を含める ・キャラクターの表情バリエーションを追加 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・衣装や装備の詳細パーツを分解して表示 ・カラーパレットを追加 ・世界観の簡単な説明を入れる 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・全体は整理されたレイアウト
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;（白背景、図解風） 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;・アスペクト比16：9
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;高解像度、プロのコンセプトアートスタイル
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;机甲少女海上城市主视觉&#34;&gt;机甲少女海上城市主视觉
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/old_pgmrs_will/status/2046144801071079612&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/old_pgmrs_will&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@old_pgmrs_will&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/004.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/004_hu_f8ffb7e0987258b8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/004_hu_fd1bd7e4ae833a8f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;机甲少女海上城市主视觉&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A mecha girl mid-teens, pale skin smudged with soot and salt spray, sharp amber eyes with glowing HUD reticles, waist-length ash-white hair tied in a high ponytail whipping in the sea wind, matte gunmetal exoskeleton armor plating her shoulders, forearms and shins, exposed hydraulic pistons at the joints, chest rig with glowing cyan coolant lines, oversized oil-stained hangar jacket half slipping off one shoulder, a massive rail cannon resting on her right shoulder, dog tags and frayed red ribbon at her collar , standing off-center to the left on the rusted edge of a tilted steel platform jutting out over dark water, weight shifted onto one leg, left hand gripping the cannon strap, head turned slightly toward camera with a quiet defiant stare, steam venting from her back thrusters, her ponytail and jacket streaming sideways in the salt wind , a vast derelict sea-city at dusk, colossal megastructures of unknown purpose rising from the ocean in staggered silhouettes, bone-white monolithic towers fused with barnacled steel, cyclopean ring-shaped constructs canted at broken angles, rusted skeletal gantries threaded with dead cables, dark swells rolling between the pylons, shipwrecks half-swallowed at their feet, thick sea fog clinging to the bases while the upper structures pierce into a bruised sky, scattered faint lights blinking high in the towers like distant eyes , moody low-key lighting, cold teal ambient from the overcast sky, warm amber sodium glow leaking from a distant structure camera-right, hard backlight from a low sun behind the towers carving her silhouette, volumetric god rays cutting through sea mist, wet specular highlights on her armor , 35mm anamorphic lens, slight low angle looking up past her shoulder toward the structures, medium-wide shot, shallow depth of field with foreground rust in soft focus, horizontal lens flares, fine atmospheric haze compressing the distant megastructures into layered silhouettes , cinematic anime key visual, painterly digital illustration with crisp line art, desaturated oceanic palette of teal, bone-white and rust punched by small warm accent lights, film grain, high-contrast editorial poster aesthetic . Format 16:9.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;圣斗士星矢黄金圣斗士卡片网格&#34;&gt;圣斗士星矢黄金圣斗士卡片网格
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2046476566537080849&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/005.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/005_hu_2f54ac4216964955.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/005_hu_2a5d701f29577fa7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;圣斗士星矢黄金圣斗士卡片网格&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成圣斗士星矢12个黄金圣斗士的12宫格卡牌图片,每张卡牌上写上对应的中文名,每行4个,宽高比16:9。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;chaos-notes-遮脸角色图&#34;&gt;Chaos Notes 遮脸角色图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/loglogrog/status/2046448773162033240&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/loglogrog&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@loglogrog&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/006.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/006_hu_60e069b94aa2d3a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/006_hu_dbf0c2afb90098fb.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Chaos Notes 遮脸角色图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;# 混沌としたメモ書き・記号の集合体からキャラクターの顔を浮かび上がらせるアート
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--- スタイル
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 白い紙の上に黒インクで描かれた大量の手書きメモ、数式、記号、ランダムな線。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 紙いっぱいに散らばる書き殴り風のカオス。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 所々に赤インクの強調(ライン、塗り潰し、マーカー風の塊)。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- アナログのノート落書きのような質感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--- 構図
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- ランダムなメモや記号が全体を覆い尽くす。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 黒インクの線や文字の密度が「キャラクターの顔」の位置に集中する。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 結果として、混沌の中から「与えられたキャラクターの顔のシルエット・表情」がうっすら浮かび上がる。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 顔は写実的ではなく、カオスの断片が集まって形を成す。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--- 色彩
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- モノクロ(黒・白)を主体に構成。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 赤インクをアクセントとして散発的に配置。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 彩度は抑えめ、アナログの紙とインク感を重視。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--- 表現要素
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 読めるようで読めない文字列、日本語や英数字が混在。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 数式記号、矢印、点、斜線、クロス、ドリップ(インクの飛び散り)。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- キャラクターの顔の目や髪の輪郭は、メモや記号の配置の「余白」や「濃淡」で浮かび上がる。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--- 禁止事項
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 顔を直接的に描き込む写実ポートレート。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- デジタル処理的で整然とした幾何学模様。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- カラフルな彩色や過飽和表現。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- ロゴ、透かし、人工的なCG感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--- Definition of Done (DoD)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 全体は「混沌としたメモ・記号の集合体」として成立している。  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 与えられたキャラクターの顔が、混沌の濃淡・配置から自然に浮かび上がる。  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 色はモノクロ+赤アクセントのみ。  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 紙とインクの手描き的質感を保持している。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫武术战斗插画&#34;&gt;动漫武术战斗插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Tanemomi_Ver2/status/2046063806846214265&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Tanemomi_Ver2&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Tanemomi_Ver2&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/007.webp&#34;
	width=&#34;1200&#34;
	height=&#34;960&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/007_hu_9cf5386c675bd84a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/007_hu_c90ccebf0d02356c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫武术战斗插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;125&#34;
		data-flex-basis=&#34;300px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;An anime-style illustration of a {argument name=&amp;#34;action type&amp;#34; default=&amp;#34;high-impact martial arts battle&amp;#34;} between two young female fighters in a {argument name=&amp;#34;setting&amp;#34; default=&amp;#34;traditional wooden martial arts dojo&amp;#34;}. In the foreground, a girl with black hair in a high bun wears a {argument name=&amp;#34;character 1 color theme&amp;#34; default=&amp;#34;red and white&amp;#34;} Chinese-style martial arts outfit with baggy pants. She is in a dynamic, low, forward-thrusting stance, surrounded by swirling red energy and water splashes. In the background to the right, a girl with light purple hair in twin buns wears a {argument name=&amp;#34;character 2 color theme&amp;#34; default=&amp;#34;green and purple&amp;#34;} Chinese dress with gold embroidery and black tights. She is leaping through the air in a flying kick pose, surrounded by swirling blue energy. The wooden floorboards are splintering from the intense impact, with debris and dust flying through the air. Above them hangs a weathered wooden sign with the text &amp;#34;{argument name=&amp;#34;sign text&amp;#34; default=&amp;#34;武術会&amp;#34;}&amp;#34;. The scene features dramatic lighting, a low-angle dynamic perspective, and intense action effects.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;班加罗尔花市里的-gta-6&#34;&gt;班加罗尔花市里的 GTA 6
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ismajc/status/2048174302164394493&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ismajc&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ismajc&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/008.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/008_hu_bf6b81a84a2781af.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/008_hu_be718831680f9c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;班加罗尔花市里的 GTA 6&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;game&amp;#34; default=&amp;#34;gta 6&amp;#34;} in {argument name=&amp;#34;location&amp;#34; default=&amp;#34;Bangalore’s market flower&amp;#34;} in India
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;新宿酒吧里的-gta-6-场景&#34;&gt;新宿酒吧里的 GTA 6 场景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ismajc/status/2048166630933282995&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ismajc&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ismajc&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/009.webp&#34;
	width=&#34;1200&#34;
	height=&#34;960&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/009_hu_a949bf78d69991b5.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/009_hu_247ff5d36aa62487.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;新宿酒吧里的 GTA 6 场景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;125&#34;
		data-flex-basis=&#34;300px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;game&amp;#34; default=&amp;#34;GTA 6&amp;#34;} in {argument name=&amp;#34;bar name&amp;#34; default=&amp;#34;La Jetée Bar&amp;#34;} (that pays homage to Chris Marker) in {argument name=&amp;#34;location&amp;#34; default=&amp;#34;Shinjuku, Tokyo&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;白猫计划-eleanor&#34;&gt;白猫计划 Eleanor
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yume00112211/status/2048309139013853421&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yume00112211&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yume00112211&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/010.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/010_hu_25e2c1330767f443.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/010_hu_8dac83cc06b48cea.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;白猫计划 Eleanor&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;series&amp;#34; default=&amp;#34;White Cat Project&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;character&amp;#34; default=&amp;#34;Eleanor&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;剪影拼贴角色主视觉海报&#34;&gt;剪影拼贴角色主视觉海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SimplyAnnisa/status/2049468867106189319&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SimplyAnnisa&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SimplyAnnisa&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/011.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/011_hu_96920472c4e5c3b8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/011_hu_951dbaeab63a82fb.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;剪影拼贴角色主视觉海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A character promotional poster titled “INPUT NAME,” designed in a unified vertical key visual composition (9:16). The upper half features the most recognizable element of the character as a dominant oversized visual silhouette. The middle to lower section contains the full character as a secondary subject. Inside the large silhouette and around the character, use a double-exposure and collage-style narrative composition with scenes, symbolic imagery, supporting elements, and environmental details blended into mist, ink wash, and negative space. The left and right sides include complementary secondary elements to create narrative tension and spatial variation. A continuous flowing visual line runs from top to bottom, connecting the main character, internal collage, and the large upper silhouette. Preserve large areas of negative space with ink diffusion, soft blurring, and fragmented transitions inspired by Eastern aesthetics. The style is cohesive, refined, restrained, and poster-worthy.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;电视剧主题像素游戏概念板&#34;&gt;电视剧主题像素游戏概念板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sciencedegens/status/2049359171594903856&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sciencedegens&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sciencedegens&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/012.webp&#34;
	width=&#34;1200&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/012_hu_b99a06de04a3bd5c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-character-cases/012_hu_a7e307ab0d4e649b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电视剧主题像素游戏概念板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;爱情公寓 电视剧主题 像素养成类游戏概念图，包括场景全局内容，周围环绕各人物形象三视图，底部是场景特写，右下角是剧情梗概。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;随机一个经典国内古装电视剧，生成古装电视剧主题像素养成类游戏概念图，包括场景全局内容，周围环绕各人物形象三视图，底部是场景特写，右下角是剧情梗概。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;「XXX」电视剧主题像素养成类游戏概念图，包括场景全局内容，周围环绕各人物（人物别重复）形象三视图，底部是场景特写，右下角是剧情梗概。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/character.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: Comparisons and Community Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;Comparisons and Community Cases&lt;/code&gt; cases: 48 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;comparisons-and-community-cases&#34;&gt;Comparisons and Community Cases
&lt;/h2&gt;&lt;h3 id=&#34;木质书架提示词测试&#34;&gt;木质书架提示词测试
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/chetaslua/status/2044331451077013749&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/chetaslua&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@chetaslua&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/000.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/000_hu_349a75f53e60885a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/000_hu_60fe6fed947c682a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;木质书架提示词测试&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A wooden bookshelf consisting of three shelves: On the top shelf, there should be one book, on the second shelf, there should be three books, and on the bottom shelf, there should be seven books.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;gpt-image-2-细节展示&#34;&gt;GPT-Image-2 细节展示
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2045000106919997637&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/001.webp&#34;
	width=&#34;456&#34;
	height=&#34;703&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/001_hu_e0b361543eb632d3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/001_hu_8ce9a910d53d3bc2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;GPT-Image-2 细节展示&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;64&#34;
		data-flex-basis=&#34;155px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;以眼部特写图片为基础，生成3:4的四屏构图超写实眼部特写，四屏按春夏秋冬上下排序。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;第一屏：眼眸中带着绽粉樱色的美瞳，睫毛缀满迷你春花，脸颊散落樱瓣与黄蕊小花，粉蝶萦绕眉眼，浅金发丝轻垂，下方簇簇樱花怒放，画面中央&amp;#34;SPRING&amp;#34;白色艺术字点缀，风格细腻唯美，光影柔和，色彩粉嫩治愈，下面用书法体写着春；
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;第二屏：眼眸中带着着清荷色的美瞳，睫毛饰以粉莲与绿荷，脸颊挂着晶莹水珠，粉瓣、绿荷点缀其间，蜻蜓轻绕，浅金发丝若隐若现，画面中央&amp;#34;Summer&amp;#34;白色艺术字凸显，光影通透流光感，色彩清透凉爽，下面用书法体写着夏；
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;第三屏：眼眸中带着金黄红相间的美瞳，睫毛饰以橙红枫叶，脸颊散落金红秋叶，橙蝶翩跹眉眼间，浅金发丝隐约可见，画面中央&amp;#34;AUTUMN&amp;#34;白色艺术字醒目，光影暖金流光，色彩浓郁温暖，下面用书法笔写着秋；
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;第四屏：眼眸中带着雪花蓝色的美瞳，睫毛覆满冰晶雪片，脸颊散落白色雪花与红色腊梅，银白蝴蝶翩跹眉眼，浅金发丝朦胧似雪，画面中央&amp;#34;WINTER&amp;#34;白色艺术字亮眼，光影冷冽蓝白流光，色彩清透纯净，下面用书法体写着冬。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体呈现梦幻眼眸四季交替的唯美梦幻治愈画面，微调各屏的光影强度，让画面氛围感更浓郁。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;ab-测试签名输出&#34;&gt;A/B 测试签名输出
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/saskr_13/status/2044744396932079934&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/saskr_13&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@saskr_13&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/002.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/002_hu_84c99483702d69b4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/002_hu_d27853e0cb13d54a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;A/B 测试签名输出&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;私があなたをどんなふうに扱ってきたか、4 コマ漫画風に描いてください。まずは 800 字くらいのプロットをテキストで出して、私が「描いて」と言ったらプロットに沿った 4 コマ漫画を描いてください。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;剪影宇宙叙事海报&#34;&gt;剪影宇宙叙事海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2045418028733538620&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/003.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/003_hu_69c60fbc35d186ac.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/003_hu_f2a47467a79d8d90.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;剪影宇宙叙事海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请根据【主题：xxx】自动生成一张高审美的“轮廓宇宙 / 收藏版叙事海报”风格作品。不要将画面局限于固定器物或常见容器，不要优先默认瓶子、沙漏、玻璃罩、怀表之类的常规载体，而是由 AI 根据主题自行判断并选择一个最契合、最有象征意义、轮廓最强、最适合承载完整叙事世界的主轮廓载体。这个主轮廓可以是器物、建筑、门、塔、拱门、穹顶、楼梯井、长廊、雕像、侧脸、眼睛、手掌、头骨、羽翼、面具、镜面、王座、圆环、裂缝、光幕、阴影、几何结构、空间切面、舞台框景、抽象符号或其他更有创意与主题代表性的视觉轮廓，要求合理布局。优先选择最能放大主题气质、最能形成强烈视觉记忆点、最能体现史诗感、神秘感、诗意感或设计感的轮廓，而不是最安全、最普通、最常见的容器。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面的核心不是简单把世界装进某个物体里，而是让完整的主题世界自然生长在这个主轮廓之中、之内、之上、之边界里或与其结构融为一体，形成一种“主题宇宙依附于一个象征性轮廓展开”的高级叙事效果。主轮廓必须清晰、优雅、有辨识度，并在整体构图中占据核心地位。轮廓内部或边界中需要自动生成与主题强绑定的完整叙事世界，内容应当丰富、饱满、层次清晰，包括最能代表主题的标志性场景、核心建筑或空间结构、象征符号与隐喻元素、角色关系或文明痕迹、远景中景近景的空间递进、具有命运感和情绪张力的氛围层次，以及门、台阶、桥梁、水面、烟雾、路径、光源、遗迹、机械结构、自然景观、抽象形态、生物或道具等叙事细节。所有元素必须统一、自然、有主次、有层级地融合，像一个完整世界真实孕育在这个轮廓结构之中，而不是简单拼贴、裁切填充、素材堆叠或模板化背景。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体构图需要具有强烈的收藏版海报气质与高级设计感，大结构稳定，主轮廓强烈明确，内部世界具有纵深、秩序和呼吸感，细节丰富但不拥挤，内容丰满但不杂乱，可以适度加入小比例人物剪影、远处建筑、光柱、门洞、桥、阶梯、回廊、倒影、天光或远景结构来增强尺度感、故事感与史诗感。整体画面要安静、宏大、凝练、富有余味，不要平均铺满，不要廉价热闹，不要无重点堆砌。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;风格融合收藏版电影海报构图、高级叙事型视觉设计、梦幻水彩质感与纸张印刷品气质，强调纸张颗粒感、边缘飞白、水彩刷痕、轻微晕染、空气透视、柔和雾化、局部体积光、光雾穿透、大面积留白与克制版式，让画面看起来像设计师完成的高端收藏版视觉作品，而不是普通 AI 跑图。整体气质要高级、诗意、宏大、神圣、怀旧、安静、具有传说感和叙事感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;色彩由 AI 根据主题自动判断并匹配最合适的高级配色方案，但必须保持统一、克制、耐看、低饱和、高级，不要杂乱高饱和，不要廉价霓虹感，不要塑料数码感。配色可以围绕黑金灰、冷蓝灰、雾白灰、褐红米白、暗铜、旧纸色、深海蓝、暮色紫、银灰等体系自由变化，但必须始终服务主题，并保持海报级审美与整体和谐。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;最终要求：第一眼有强烈的主题识别度和轮廓记忆点，第二眼有完整丰富的叙事世界，第三眼仍有细节和余味。轮廓选择必须具有创意和主题匹配度，尽量避免重复、保守、常见的容器套路，优先选择更有象征性、更有空间感、更有设计潜力的轮廓形式。不要普通背景拼接，不要生硬裁切，不要模板化奇幻素材，不要游戏宣传图感，不要过度卡通化，不要过度写实导致失去艺术感，不要形式大于内容。如果合适，可以自然加入低调克制的标题、编号、签名或落款，让它更像收藏版海报设计的一部分，但不要喧宾夺主。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;狮驼岭暗黑神话场景&#34;&gt;狮驼岭暗黑神话场景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MANISH1027512/status/2045743158860878312&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MANISH1027512&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MANISH1027512&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/004.webp&#34;
	width=&#34;1200&#34;
	height=&#34;673&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/004_hu_f5f4bf455e2347e6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/004_hu_2545fff147bf08cb.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;狮驼岭暗黑神话场景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;178&#34;
		data-flex-basis=&#34;427px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;中式怪异，黑暗神秘风格融合中式美学，完美细节，多重管线渲染，完美建模。西游记背景，狮驼岭，千妖万怪，坐在左边巨大王座上的大象王重甲妖精，坐在中间巨大王座上的狮王重甲妖精，坐在右边巨大王座上大鹏鸟王重甲妖精。渺小的背对镜头孙悟空肩抗金箍棒步行前进，孙悟空身穿铠甲，近地仰拍镜头，长焦镜头，强烈阴影。极致细节刻画，多次修改，正确透视和主体线条，精致细节
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;counter-strike-x-terraria-截图混搭&#34;&gt;Counter-Strike x Terraria 截图混搭
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yssrski/status/2046410519595348397&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yssrski&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yssrski&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/005.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/005_hu_22dc16342dfb23c0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/005_hu_e8fbbe23ea2f380e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Counter-Strike x Terraria 截图混搭&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;counter strike in game screenshot, mixed with Terraria
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;战前日本实验室-minecraft-截图&#34;&gt;战前日本实验室 Minecraft 截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/RitaStar1128/status/2046406024303976904&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/RitaStar1128&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@RitaStar1128&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/006.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/006_hu_b537e6a2e4d3a01c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/006_hu_1a35c7e6d109f154.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;战前日本实验室 Minecraft 截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;戦前日本の怪しげな研究所を探検しているマイクラのスクリーンショット画像を作成して
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;锻造杰作提示词测试&#34;&gt;锻造杰作提示词测试
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2046201836525302032&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/007.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/007_hu_bdee5d7a2fb77f90.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/007_hu_6ea37f78bc207883.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;锻造杰作提示词测试&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;帮我生成xxxx真迹图片
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;多概念战斗海报组&#34;&gt;多概念战斗海报组
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/joshesye/status/2046493442428039212&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/joshesye&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@joshesye&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/008.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/008_hu_5444105119fd235a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/008_hu_1b363ada840cafe7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;多概念战斗海报组&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1、生成不知火舞和貂蝉的游戏对战海报图
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2、生成一张K-pop团体时尚专辑封面
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3、请你生成 《斗破苍穹》 的关键人物关系图
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4、帮我截一张上传图片的抖音首页的女网红图
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;rust-游戏内截图&#34;&gt;Rust 游戏内截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/FixlationAI/status/2046272578705068476&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/FixlationAI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@FixlationAI&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/009.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/009_hu_2f33baa8eee8a96f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/009_hu_2f3d7557f468088e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Rust 游戏内截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;an ingame screenshot of rust
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;sam-altman-熊自拍&#34;&gt;Sam Altman 熊自拍
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/JustinGorya/status/2046510831832006970&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/JustinGorya&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@JustinGorya&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/010.webp&#34;
	width=&#34;1200&#34;
	height=&#34;960&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/010_hu_cbb4341cfe620805.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/010_hu_99cec28b7bfdb7dc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Sam Altman 熊自拍&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;125&#34;
		data-flex-basis=&#34;300px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;generate image: Selfie of Sam Altman riding a bear
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Edit prompt: Remove the background make it transparent
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;among-us-写实截图&#34;&gt;Among Us 写实截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ReYYYYoking/status/2046502217843376292&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ReYYYYoking&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ReYYYYoking&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/011.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/011_hu_a07430ca8e2ce37c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/011_hu_7e0764d762a8c7b1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Among Us 写实截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;AmongUsの精密な実際のゲーム画像を生成して
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;复古编程博物馆卡通图&#34;&gt;复古编程博物馆卡通图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/XiaohuiAI666/status/2046515319947354603&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/XiaohuiAI666&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@XiaohuiAI666&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/012.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/012_hu_590bc6590b95ca8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/012_hu_9f60f996346a18fd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;复古编程博物馆卡通图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在计算机博物馆里,一个程序员在展厅中央,正在演示C语言编程,很多参观者在围观,屏幕上的代码清晰可见。旁边的牌子写着:古法编程,现场表演。2D卡通画风,16:9
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;第-14-维投影场景&#34;&gt;第 14 维投影场景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/workingclassbud/status/2046506783850815703&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/workingclassbud&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@workingclassbud&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/013.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/013_hu_d98de914cb7ba1f8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/013_hu_2c2d101467fb6782.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;第 14 维投影场景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dusk shindig  with multiple fake imagination projections all aligned in the 14th dimensions
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;sam-altman-棒球转播画面&#34;&gt;Sam Altman 棒球转播画面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/16kthir0GRXgNqn/status/2046507362266259832&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/16kthir0GRXgNqn&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@16kthir0GRXgNqn&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/014.webp&#34;
	width=&#34;1200&#34;
	height=&#34;960&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/014_hu_8bd08cc6b26c642b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/014_hu_6dacced72af126fe.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Sam Altman 棒球转播画面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;125&#34;
		data-flex-basis=&#34;300px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;サムアルトマンがメジャーリーガーでバットを構えている。よくあるようなテレビ画面の構図
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;基于视频内容和当前帧生成-youtube-缩略图&#34;&gt;基于视频内容和当前帧生成 YouTube 缩略图&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/chatcutapp/status/2047228386117128475&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/chatcutapp&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@chatcutapp&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/015.webp&#34;
	width=&#34;1200&#34;
	height=&#34;635&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/015_hu_2eb49e69d901da0d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/015_hu_7ed47c8d420869e2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;基于视频内容和当前帧生成 YouTube 缩略图…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;188&#34;
		data-flex-basis=&#34;453px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Based on the video content and this current frame, use GPT to generate a YouTube thumbnail that fits the video. You can reference the style of the image I gave you, but replace the logo on the right side of AE with theChatCut logo. I&amp;#39;ll attach the logo for you.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;生成-2020-年最重大事件的图像&#34;&gt;生成 2020 年最重大事件的图像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Rufus87078959/status/2047211900769878234&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Rufus87078959&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Rufus87078959&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/016.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/016_hu_687922d1e7a63a2a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/016_hu_5b15c5c496429717.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;生成 2020 年最重大事件的图像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Generate an image of the most significant event of 2020
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;编辑图像将总金额改为-2445-泰铢&#34;&gt;编辑图像，将总金额改为 244.5 泰铢&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/elliscrosby/status/2047211507596071235&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/elliscrosby&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@elliscrosby&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/017.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/017_hu_16dc39ca901c6b82.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/017_hu_a50df358fa6989a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;编辑图像，将总金额改为 244.5 泰铢…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Edit this image so that total amount changes to 244.5 baht. You can change the quantity of each of the stacks of coins until we hit the target total.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;生成-2001-年最重大事件的图像&#34;&gt;生成 2001 年最重大事件的图像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Rufus87078959/status/2047210051216011682&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Rufus87078959&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Rufus87078959&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/018.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/018_hu_deead110f1a8dd0a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/018_hu_bd38033b18d24a88.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;生成 2001 年最重大事件的图像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Generate an image of the most significant event of 2001
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;研究-lime-药物设计并制作详细信息图&#34;&gt;研究 LIME 药物设计并制作详细信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/WillSpagnoli/status/2047172976463040851&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/WillSpagnoli&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@WillSpagnoli&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/019.webp&#34;
	width=&#34;849&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/019_hu_25a4361b50c33c7d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/019_hu_47733dfbffd47eb7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;研究 LIME 药物设计并制作详细信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Research LIME Drug Design and make a detailed infographic about it
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;抖音直播带货截图&#34;&gt;抖音直播带货截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/laogeai/status/2047228458351120625&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/laogeai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@laogeai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/020.webp&#34;
	width=&#34;555&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/020_hu_f32bbd02312def58.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/020_hu_eb8b785a739867f4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;抖音直播带货截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;46&#34;
		data-flex-basis=&#34;111px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成一个抖音直播的截图 里面是一个美女在直播，在卖丝袜和内衣，她的在线人数是99996，热度是18+，有个叫小互的大哥，给她刷了一个飞机礼物
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;社交-app-匹配成功界面&#34;&gt;社交 App 匹配成功界面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047220490486612450&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/021.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/021_hu_923f02bf30c4aca3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/021_hu_eae15aed44a17514.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;社交 App 匹配成功界面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;社交App匹配成功界面，两个用户资料卡碰撞爱心特效
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;吕布-boss-设计表&#34;&gt;吕布 Boss 设计表
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047198090009190441&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/022.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/022_hu_5c8a9cf9cc09493f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/022_hu_da22a045a479988d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;吕布 Boss 设计表&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;吕布游戏Boss设定，赤兔马方天画戟，暗黑进化形态双形态对比
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;哪吒暗黑奇幻小说封面&#34;&gt;哪吒暗黑奇幻小说封面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047196508270084104&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/023.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/023_hu_7c0698aae9a158cb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/023_hu_1562cbd59e61549a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;哪吒暗黑奇幻小说封面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;玄幻小说封面，哪吒三头六臂悬浮虚空，火焰莲台底座，暗黑史诗风
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;新中式极简花卉插画&#34;&gt;新中式极简花卉插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2047180347448914195&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/024.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/024_hu_e1aa195cdc4af4e8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/024_hu_3b629338b5210b1a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;新中式极简花卉插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;新中式极简东方美学 × 高端商业插画，主题一花一世界，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;极简，克制，空灵，高级商业视觉，超现实东方意境，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面干净通透，无灰雾、无脏色，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一朵巨大的荷花作为空间容器，从平静水面自然生长，轻微倾斜，构图优雅留白充足，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;低饱和干净粉色，柔和胭脂调，花瓣半透明，轻盈通透，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;哑光低对比，边缘柔化 + 轻微景深，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;荷花内部为唯一视觉焦点：发光的3D微缩广州城市，包含：广州塔，珠江新城建筑群，猎德大桥，珠江水岸，少量岭南建筑，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;城市超精细结构，真实材质，极高细节清晰度，城市高光是暖金色，城市阴影是冷青蓝，形成冷暖对比，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;灯光通透有能量，局部高饱和但不泛滥，城市亮度明显高于荷花，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;水面清澈极简平静，仅少量柔和涟漪，弱反射，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;背景暖米白宣纸质感，无水墨、无笔触，大面积留白，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;中心有极轻微光晕渐变，整体通透、不灰、不闷，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面下方一艘极简小船，船上一位红衣渔女，极小比例，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;静立仰望荷花，红色为唯一高纯度点缀，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体光线通透、干净、有层次，无灰雾、无泛白，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;高端CG商业插画，电影级真实光影，高动态范围，超精细，8K细节，ArtStation 级画质，强化分色，干净调色，青橙对比，暖高光冷暗部，仅城市灯光提亮饱和度，色调柔和通透，光影锐利明亮，无灰雾、无暗沉、无低饱和雾化。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;苏妲己古风魅惑人像&#34;&gt;苏妲己古风魅惑人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/nidiedeba/status/2047147223281270878&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/nidiedeba&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@nidiedeba&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/025.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/025_hu_57012c8d3330874.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/025_hu_10091a87be8e4b13.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;苏妲己古风魅惑人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;苏妲己古风写真，红色纱衣半透，狐耳若隐若现，媚态撩人
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;鲁迅朝花夕拾插画&#34;&gt;鲁迅《朝花夕拾》插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Aurora_62340/status/2047139992355680530&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Aurora_62340&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Aurora_62340&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/026.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/026_hu_39b845c01a0f8f13.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/026_hu_6ca7c93238508cbe.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;鲁迅《朝花夕拾》插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;结合鲁迅的《朝花夕拾》里的内容，生成一副图片，要求图片背景符合《朝花夕拾》的意境，背景图可以使用蒙版，前景是 鲁迅的全身画像位于图片左侧或右侧
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;地铁手机随拍&#34;&gt;地铁手机随拍
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AntCaveClub/status/2047136306485133428&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AntCaveClub&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AntCaveClub&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/027.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/027_hu_e73df417ccc689da.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/027_hu_112ce48141e686fb.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;地铁手机随拍&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;地铁上低头看手机的美丽女人，偷拍照片。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;能免费试一次 ⬇️
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;中国航天纪念邮票张&#34;&gt;中国航天纪念邮票张
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047129703702802811&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/028.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/028_hu_eb60c01370c01934.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/028_hu_3db265d15e769808.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;中国航天纪念邮票张&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;中国航天纪念邮票小全张，火箭发射场景，烫金边框工艺
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;竖版武侠女侠人像&#34;&gt;竖版武侠女侠人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/CoderDaMing/status/2047127585256358221&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/CoderDaMing&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@CoderDaMing&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/029.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/029_hu_a8f0a65ddfdcf7b2.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/029_hu_894cf766aa61d435.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;竖版武侠女侠人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 竖版，极致武侠风，绝美东方女侠，20岁出头，冷艳锐利丹凤眼，眉宇英气逼人，肤白如玉，长直黑发湿漉漉随狂风剧烈飞舞，几缕发丝贴在脸颊和颈侧，穿着湿透的深黑改良武侠劲装，外披宽袖玄色长袍，衣袍和长袖被风吹得剧烈飘扬翻飞，紧身劲装勾勒身材，腰束软剑带，足踏长靴，右手持一把古剑，剑身散发幽蓝剑气光芒，动态姿势：身体微侧回眸，衣袂猎猎，背景为月夜雨雾笼罩的竹林古道，巨大明月高悬，石板小径，古灯笼，薄雾雨丝，戏剧性冷月光与蓝光剑气结合，湿身水光效果，超强动态感，细腻布料褶皱、头发丝飘动、真实水珠反光，电影级光影，8k，masterpiece, best quality, ultra realistic, cinematic, dramatic atmosphere
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;基于佛经的写实观音人像&#34;&gt;基于佛经的写实观音人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Zhaoge01/status/2047123570485260753&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Zhaoge01&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Zhaoge01&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/030.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/030_hu_79247bf19d7df29f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/030_hu_6564a8aaada7451c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;基于佛经的写实观音人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;根据佛经对观音菩萨的形象描述，原原本本的还原一张真实的观音菩萨形象照片，皮肤与衣服接近真实，画质iPhone 15 pro
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;唐代长安灯会全景&#34;&gt;唐代长安灯会全景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047122441454096527&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/031.webp&#34;
	width=&#34;1200&#34;
	height=&#34;600&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/031_hu_134154d5364f596.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/031_hu_a01776cc2a06ae8c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;唐代长安灯会全景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;200&#34;
		data-flex-basis=&#34;480px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;唐代长安城元宵灯会全景，万盏花灯照亮夜空，工笔重彩长卷
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;历史感杨贵妃写实人像&#34;&gt;历史感杨贵妃写实人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Zhaoge01/status/2047110776897638568&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Zhaoge01&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Zhaoge01&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/032.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/032_hu_9260a969e43c58ec.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/032_hu_7925640563d18b20.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;历史感杨贵妃写实人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;根据真实历史对杨玉环的形象描述，生成一张杨贵妃真实照片，画质为iPhone 15 pro
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;超现实日本未来城市插画&#34;&gt;超现实日本未来城市插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Tresmort/status/2047105322863460496&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Tresmort&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Tresmort&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/033.webp&#34;
	width=&#34;672&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/033_hu_4d3ca5a30ab2dcad.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/033_hu_2fdd875a8febb08d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;超现实日本未来城市插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;134px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;参考这张图的透视和风格，绘制一张更加精细的超高清插画，表现超现实主义的日式未来都市，要能看清很小的细节，包括街道上的传统文化游行的人，小巷里的黑帮，烟花巷的舞女，疲惫的社畜，楼房的窗户里也有各式各样的人物，学习的学生，吵架的夫妻，玩游戏的宅男，以及更多的发挥细节。讽刺现实拥挤中的无聊，都市繁华下的孤独，无意义的人生中又有一种病态的美感。画面要有极高的审美价值 ，不能因为拼内容而损失美和协调感，比例是9:16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;涂山雅雅奇幻魅力人像&#34;&gt;涂山雅雅奇幻魅力人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sdjn_wgc/status/2046981757325475954&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sdjn_wgc&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sdjn_wgc&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/034.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/034_hu_aca7edbe689ae342.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/034_hu_5a8d1598f7f60220.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;涂山雅雅奇幻魅力人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;狐妖小红娘涂山雅雅写真大片，粉色九尾狐裘紧身裙，媚眼如丝，红唇微张，极致妖媚
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;抖音直播带货截图-1&#34;&gt;抖音直播带货截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/LVWANGJI_0327/status/2046974302227206525&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/LVWANGJI_0327&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@LVWANGJI_0327&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/035.webp&#34;
	width=&#34;555&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/035_hu_babe578c9021c9eb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/035_hu_b24fa3bc309b5223.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;抖音直播带货截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;46&#34;
		data-flex-basis=&#34;111px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成一个抖音直播的截图 里面是一个美女在直播，在卖丝袜和内衣，她的在线人数是99996，热度是18+，有个叫小互的大哥，给她刷了一个飞机礼物
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;东方奇幻女性半身像&#34;&gt;东方奇幻女性半身像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2046962895775580442&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/036.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/036_hu_a9e322f740143588.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/036_hu_b4fefc36a1f44d63.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;东方奇幻女性半身像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;东方幻想风格女性，半身肖像，回眸侧脸，气质空灵优雅，柔和神性美感，细腻五官，微垂眼神，冷白细腻肌肤，淡雅橘粉妆容，金色高光点缀
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;长发飘动，发丝中融入彩色花朵与光粒（红、蓝、橙、紫），头发具有流动感与空气感
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;身穿半透明丝绸礼服与披肩，材质轻盈通透，布料随风飘动，表面带有鎏金纹理与闪耀颗粒。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体光影为暖金色逆光，强边缘光，体积光明显，光粒漂浮，柔光泛光，梦幻氛围
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;背景干净浅色渐变，带微光与粒子效果，整体氛围空灵、梦境、神圣
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;风格：高端CG插画，超精细，电影级光影，柔光渲染，8K细节，artstation 热门作品风格
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;竖版东方年轻女性艺术人像&#34;&gt;竖版东方年轻女性艺术人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/zhiyangzhu22222/status/2046952985562062888&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/zhiyangzhu22222&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@zhiyangzhu22222&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/037.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/037_hu_6abef56a6312093c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/037_hu_4cf6b460212173c7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;竖版东方年轻女性艺术人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;9
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 竖向构图，单人女性艺术肖像，年轻东方女生，五官清秀，脸部线条柔和，皮肤自然通透，保留真实肌理，气质安静高级，带一点疏离感和故事感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;摄影棚风格与自然光融合，柔和侧光，面部有细腻高光，阴影轻柔，整体光线通透不刺眼，带轻微黑雾滤镜效果，微朦胧、微泛光、空气感强。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;背景极简干净，奶油灰、米白、浅卡其或雾感暖灰色墙面，留有大面积负空间，整体画面简洁、有呼吸感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;模特坐在地面或低台上，一条腿自然弯曲，一条腿放松伸展，身体轻微前倾或侧倾，肩膀不对称，头部轻轻倾斜，动作自然松弛，不刻意摆拍。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;表情平静克制，眼神柔和，略微疏离，带一点若有所思的情绪，嘴唇自然微张或轻闭，状态慵懒、安静、细腻。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;发型为自然蓬松的长发，微凌乱碎发，发丝轻柔，有空气感和层次感，像刚整理过但保留自然随性感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;妆容为高级淡妆，韩系清透底妆，皮肤柔雾光泽，鼻梁与面颊有自然高光，眉形干净，眼妆淡雅但有神，睫毛纤长，唇色为低饱和玫瑰豆沙色或奶茶裸粉色。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;服装为简约高级风：米白色紧身罗纹针织背心，外搭宽松白衬衫或柔软针织开衫，下装为高腰半裙或简约短裤，布料柔软贴合身形但不过分暴露，呈现自然身体线条与文艺感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面强调细腻质感、柔和色调、轻法式与韩系杂志感结合，真实摄影感，电影级肤色，细节丰富，层次分明，构图克制，高级审美，时尚 编辑人像，柔和的电影感人像，细腻的质感，超高细节，逼真，优雅，精致，高端时尚摄影，含蓄的性感，简洁的构图。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;汽车人集结月球基地&#34;&gt;汽车人集结月球基地
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2046952548469530716&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/038.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/038_hu_fc0d03188fef8d07.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/038_hu_75e9a58aa1d6430a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;汽车人集结月球基地&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;图片1：汽车人全员月球基地集结，地球悬于身后星空，赛博坦旗帜飘扬
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;图片2：霸天虎全员列阵外星战舰甲板，威震天坐于王座俯视全军
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;自然志风食物标本剖面&#34;&gt;自然志风食物标本剖面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/GeekCatX/status/2046939656244318676&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/GeekCatX&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@GeekCatX&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/039.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/039_hu_30825d91596e59d8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/039_hu_8224a59ff709b4cc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;自然志风食物标本剖面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;42
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;43
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;44
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;45
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;46
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一颗/一块/一枚【食物名称】，以博物学大师发现野外标本的方式解剖。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;剖开、展开、固定——如同博物馆的珍贵藏品，
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;却以卡拉瓦乔为《国家地理》掌镜时的光线照亮。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;每一个内部结构都以自身的材质真相发光。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;截面锋利得近乎暴力。内部美丽得近乎神圣。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面中呈现完整标本：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一半保持原状，展示【外表面描述：质感/颜色/纹理】；
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;另一半剖开至核心，【内部核心结构描述：最重要的1—2个内部视觉特征】清晰可见。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【补充1—2句该食物最具视觉张力的横截面细节描述】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;背景：纯粹的黑丝绒。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【食物名称】悬浮其中，如同某件珍贵而危险的事物。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;标注文字紧贴结构边缘，手写感衬线字体，绝不悬空飘浮。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面包含以下标注，每处标注三行：第一行结构名称，第二行成分数据，第三行一句人话：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【结构01名称】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【成分／数据说明】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【这个结构在做什么，为什么重要】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【结构02名称】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【成分／数据说明】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【这个结构在做什么，为什么重要】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【结构03名称】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【成分／数据说明】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【这个结构在做什么，为什么重要】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【结构04名称】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【成分／数据说明】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【这个结构在做什么，为什么重要】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【结构05名称】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【成分／数据说明】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【这个结构在做什么，为什么重要】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【结构06名称】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【成分／数据说明】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【这个结构在做什么，为什么重要】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;省略其他如果有继续保持这个格式
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;主标题，左上角，暖象牙白大写字体：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【食物名称】·解剖
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;斜体副标题紧随其下：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【一句揭示这种食物本质的话，不超过15字】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体气质：奥杜邦博物插画×卡拉瓦乔光影×有史以来最美的科学摄影。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4K精度，标本照明，极致内部细节。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;没有任何临床感，一切都鲜活。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;写实风格，非示意图，非卡通，非简化图解。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;每一种材质都有真实的物理质感：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;粗糙的、光滑的、湿润的、干燥的、致密的、疏松的。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;宝丽来相框突破场景&#34;&gt;宝丽来相框突破场景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MajaDesignJP/status/2047235632934928765&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MajaDesignJP&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MajaDesignJP&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/040.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/040_hu_e11ed3612b1be3e9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/040_hu_c4e74768217d3d5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;宝丽来相框突破场景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ポラロイド写真の中に人が写っていて、その人がフレームから外に飛び出している画像。日本語が書いてある画像生成して
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;←下の画像
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GPT Image-2で生成したやつ→
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;餐厅-pov-变化对比&#34;&gt;餐厅 POV 变化对比
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/chesnyfcb/status/2047714457774637213&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/chesnyfcb&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@chesnyfcb&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/041.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/041_hu_c3be8e5523986d4f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/041_hu_46f34758a3d6ee94.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;餐厅 POV 变化对比&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A side-by-side comparison graphic on a black background demonstrating a camera-angle change in the same restaurant scene. At the top, large white sans-serif text reads: &amp;#34;Show me the POV from someone standing behind the bar looking out over this crowded restaurant. Change NOTHING in the scene other than the pov&amp;#34;. Below, place 2 stacked rectangular photos centered vertically: the top image labeled &amp;#34;Source&amp;#34; in large white text on the left, and the bottom image labeled &amp;#34;Output&amp;#34; in large white text on the left. The top photo shows a warmly lit, upscale, crowded restaurant interior seen from the dining room side, facing a tall back bar filled with many illuminated liquor bottles on wall-to-wall shelves, with bartenders and guests in front, amber lighting, globe pendant lights, wood ceiling, beige columns, and tightly packed seated diners in the foreground. The bottom photo shows the exact same restaurant, same crowd density, same warm lighting, same decor, same bar shelving, same globe pendant lights, and same overall composition elements, but now from the point of view of someone standing behind the bar and looking outward across the crowded restaurant; the foreground includes the bar counter with glassware, metal bar tools, bottles, and a point-of-sale screen visible at the lower left, while guests and staff fill the middle ground and the dining room extends into the background. Preserve the sense that only the camera position changed between the 2 images, with no other scene alterations.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫人群-pov-对比&#34;&gt;动漫人群 POV 对比
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/chesnyfcb/status/2047714457774637213&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/chesnyfcb&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@chesnyfcb&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/042.webp&#34;
	width=&#34;680&#34;
	height=&#34;506&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/042_hu_ed0399bfad9e8fc0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/042_hu_f726205b2c45a4df.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫人群 POV 对比&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;134&#34;
		data-flex-basis=&#34;322px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;comparison graphic&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;anime cinematic demonstration image on a black presentation background&amp;#34;,&amp;#34;canvas&amp;#34;:{&amp;#34;aspect_ratio&amp;#34;:&amp;#34;4:3&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;solid black&amp;#34;},&amp;#34;text_elements&amp;#34;:[{&amp;#34;text&amp;#34;:&amp;#34;{argument name=\&amp;#34;headline text\&amp;#34; default=\&amp;#34;Move the camera POV to be at ground level in the crowd.\&amp;#34;}&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top center&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;large white sans-serif&amp;#34;},{&amp;#34;text&amp;#34;:&amp;#34;Source&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;left of upper image&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;large white sans-serif&amp;#34;},{&amp;#34;text&amp;#34;:&amp;#34;Output&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;left of lower image&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;large white sans-serif&amp;#34;}],&amp;#34;layout&amp;#34;:{&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;Source&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper center&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;overhead crowd scene&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;Output&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower center&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;ground-level crowd POV scene&amp;#34;]}],&amp;#34;image_frames&amp;#34;:2},&amp;#34;images&amp;#34;:[{&amp;#34;role&amp;#34;:&amp;#34;source image&amp;#34;,&amp;#34;composition&amp;#34;:&amp;#34;busy top-down view of a densely packed historical street crowd, seen from above&amp;#34;,&amp;#34;scene&amp;#34;:&amp;#34;a chaotic crowd gathered around a wagon and a horse-drawn carriage, people pressed shoulder to shoulder, many wearing caps and muted early-20th-century or old-European clothing, bundles and sacks visible, one brown horse at the right edge, wooden wagon wheel and cart structure partially visible&amp;#34;,&amp;#34;camera&amp;#34;:&amp;#34;high overhead bird&amp;#39;s-eye angle looking down into the crowd&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;soft daylight&amp;#34;,&amp;#34;color_palette&amp;#34;:&amp;#34;muted earthy browns, dusty blues, beige, olive, warm gray&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;hand-painted anime film still, detailed crowd illustration, slightly soft shading&amp;#34;},{&amp;#34;role&amp;#34;:&amp;#34;output image&amp;#34;,&amp;#34;composition&amp;#34;:&amp;#34;the same crowded historical street reimagined from inside the mass of people at near-ground height&amp;#34;,&amp;#34;scene&amp;#34;:&amp;#34;view from within the crowd beside a carriage wheel, bodies filling the foreground and midground, a person in dark maroon clothing bent forward at left, a crouched figure in green near the bottom center, a woman in a light blue dress at right-center turning back, tightly packed figures, horse and cart implied nearby, dramatic sense of compression and closeness&amp;#34;,&amp;#34;camera&amp;#34;:&amp;#34;very low ground-level POV from inside the crowd, upward and forward through people, emphasizing complex occlusion and depth&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;soft daylight with warm cinematic shadows&amp;#34;,&amp;#34;color_palette&amp;#34;:&amp;#34;muted earthy browns, dusty blues, beige, olive, warm gray&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;hand-painted anime film still, cinematic perspective shift, detailed character crowding, soft painterly shading&amp;#34;}],&amp;#34;overall_goal&amp;#34;:&amp;#34;show a before-and-after camera angle transformation of the same anime crowd scene, with the output moving from an overhead view to a low immersive POV inside the crowd&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;霓虹-ai-缩略图对比&#34;&gt;霓虹 AI 缩略图对比
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MoveHiro1219/status/2047698611665096732&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MoveHiro1219&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MoveHiro1219&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/043.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/043_hu_33f15e3a0c84a481.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/043_hu_175d60632bcf6b51.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;霓虹 AI 缩略图对比&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a dramatic Japanese YouTube thumbnail in a futuristic neon cyberpunk style, 16:9 landscape. Use a dark tech-city background with faint skyscrapers, digital grid lines, glowing particles, and high-contrast blue, pink, and gold lighting. In the exact center, place a young woman from the waist up with long straight pastel blue hair, wearing a plain white short-sleeve T-shirt and a light pink skirt, posing thoughtfully with one hand near her chin and the other arm folded; anonymize her face with a soft rectangular blur. Across the very top, add huge distressed bold white Japanese headline text reading 主導権が揺れた, and directly below it add large bold yellow text reading {argument name=&amp;#34;subheadline text&amp;#34; default=&amp;#34;Nano Bananaから&amp;#34;}. On the left side, create a glowing blue hexagonal-framed panel titled Nano Banana with a smaller subtitle 画像生成. Inside that panel, include exactly 4 image tiles in a 2x2 grid: 1) a fantasy floating island landscape at sunset, 2) a sunlit forest path with tall trees, 3) a neon futuristic city street at night, 4) an outer-space planet scene with stars and a spacecraft. Beneath the left panel, add a blue glowing ribbon label reading かつては優位だった. On the right side, create a glowing magenta hexagonal-framed panel titled {argument name=&amp;#34;right panel title&amp;#34; default=&amp;#34;GPT Image 2&amp;#34;} with a smaller subtitle 実務で使える出力へ. Inside it, include exactly 4 example thumbnail cards in a 2x2 grid, each featuring the same blue-haired woman with a blurred face and bold Japanese text. The 4 card labels above the tiles are: サムネイル画像, 記事のアイキャッチ画像, LPのセクション画像, SNS投稿画像. The large text inside the 4 cards should read respectively: 1) AIで変わるクリエイティブの未来, 2) AI時代のクリエイティブ戦略 成功する企業の条件, 3) AIで加速するビジネス成長, 4) 未来をつくるのは AI×あなたのアイデア. Between the left and right panels, place a bright glowing gold arrow pointing from left to right with spark-like particle trails, indicating transition or superiority shift. Along the bottom, add a very large black banner with a glowing gold border and massive bold gold text reading {argument name=&amp;#34;bottom banner text&amp;#34; default=&amp;#34;GPT Image 2へ&amp;#34;}. Overall composition should feel like a comparison graphic showing a shift from older image generation to more practical commercial output, with aggressive thumbnail typography, strong glow effects, metallic texture on major text, and polished social-media marketing visuals.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;赛博朋克-ai-工具对比海报&#34;&gt;赛博朋克 AI 工具对比海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MoveHiro1219/status/2047698611665096732&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MoveHiro1219&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MoveHiro1219&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/044.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/044_hu_e993eef1ea220a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/044_hu_6755473a85ce3e57.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;赛博朋克 AI 工具对比海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A futuristic Japanese tech comparison poster in a dark cyberpunk control-room setting, wide 16:9 composition. Large distressed white Japanese headline text at the upper left reading &amp;#34;三つ巴&amp;#34;, with a bold gold subtitle directly below reading &amp;#34;それぞれの武器&amp;#34;. Across the center-left are 3 glowing holographic comparison panels arranged horizontally and connected by neon arrows: a blue panel labeled &amp;#34;Google&amp;#34;, an amber-gold panel labeled &amp;#34;Claude&amp;#34;, and a purple-magenta panel labeled &amp;#34;OpenAI&amp;#34;. The Google panel contains 4 inner cards: 2 larger top cards labeled &amp;#34;Gemini&amp;#34; and &amp;#34;Antigravity&amp;#34;, plus 2 smaller bottom cards showing analytics/dashboard-like visuals and a blue isometric cube graphic. The Claude panel contains 4 inner cards: 1 large top card labeled &amp;#34;Claude Code&amp;#34;, plus 3 smaller bottom cards showing a network diagram, text/code list, and chart analytics. The OpenAI panel contains 5 inner cards: 2 larger top cards labeled &amp;#34;ChatGPT&amp;#34; and &amp;#34;Codex&amp;#34;, plus 3 smaller bottom cards showing interface/code windows and a geometric wireframe cube. Add glowing bidirectional arrows between Google and Claude, and between Claude and OpenAI. At the bottom center, place a large neon-framed banner with gold text reading &amp;#34;Google / Claude / OpenAI&amp;#34;. On the right side, include a young woman standing and pointing left toward the panels, with long straight split-dyed hair in pastel pink and cyan blue, a plain white t-shirt with black text reading &amp;#34;{argument name=&amp;#34;shirt text&amp;#34; default=&amp;#34;OKIHIRO AI Creative&amp;#34;}&amp;#34;, and a soft pink pleated skirt. Her face is obscured by a smooth rectangular blur block. Use cinematic sci-fi lighting, glossy hologram UI details, high contrast, vivid blue-gold-purple accents, and a polished YouTube thumbnail aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日式-ai-对战-youtube-缩略图&#34;&gt;日式 AI 对战 YouTube 缩略图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MoveHiro1219/status/2047698611665096732&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MoveHiro1219&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MoveHiro1219&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/045.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/045_hu_70f595024db82dbb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/045_hu_e83698ae32159172.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日式 AI 对战 YouTube 缩略图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A bold Japanese YouTube thumbnail about the AI competition era, 16:9 widescreen, high contrast, dramatic tech-news style. Use a dark futuristic control-room background filled with 3 glowing holographic dashboard screens and blue cyber interface elements around the edges. On the left and center, place a luminous circular hub labeled “AI” in bright blue, with 3 directional glowing energy arrows branching outward to competing platforms: “Google” on the left in a blue electric region, “Claude” on the upper right in a gold electric region, and “OpenAI” at the bottom center in a magenta-purple electric region. Add a subtle world-map or territory-battle visualization effect under each brand region, like illuminated digital land masses or influence zones. On the right side, show a young Japanese-looking woman from waist up, facing forward, wearing a long straight split-color wig with pastel pink on one side and pastel blue on the other, a plain white T-shirt with the printed text “OKIHIRO AI Creative”, and a light pink skirt. She raises one index finger beside her face in a presenter pose. Her face is fully obscured by a large soft-edged rectangular blur block. Across the top, add huge distressed white Japanese headline text: {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;AI戦国時代&amp;#34;}. Beneath it, add a second line in bold gold Japanese text: {argument name=&amp;#34;subheadline text&amp;#34; default=&amp;#34;性能だけの話じゃない&amp;#34;}. Across the bottom, place a wide black banner with massive bold gold Japanese text: {argument name=&amp;#34;bottom text&amp;#34; default=&amp;#34;空気を取った側が勝つ&amp;#34;}. Make the typography oversized, gritty, and attention-grabbing, with slight glow and drop shadow. Use a color palette of black, electric blue, gold, magenta, and neon white, with intense contrast and thumbnail readability.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;东京-disneysea-前排战斗-ui&#34;&gt;东京 DisneySea 前排战斗 UI
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mikko_20100518/status/2047514897404354598&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mikko_20100518&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mikko_20100518&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/046.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/046_hu_b2c64723a1135d80.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/046_hu_445e6e63a044c7d2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;东京 DisneySea 前排战斗 UI&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a hyper-detailed comedic Japanese arcade fighting game screenshot styled like a versus battle scene, using a real-world photo aesthetic with game UI overlaid on top. The scene shows an intense mock battle between two groups of theme-park fans competing for the front row at an outdoor show plaza in Tokyo DisneySea. Use a wide 16:9 composition. In the background, clearly show Mediterranean Harbor and Mount Prometheus under bright daytime skies, with the waterfront and DisneySea architecture visible. In the foreground, show exactly 10 young adult people in winter casual clothing, split into 2 opposing teams of 5, physically leaning, grabbing, reaching, and shoving in a tug-of-war-like scrum over position, with exaggerated competitive body language and frozen action as if in a fighting game. Faces should be anonymized with soft blurred blocks. Add floating character labels above each person with levels and names in Japanese. The overall tone is absurdly realistic, like a real candid photo transformed into a polished arcade game battle screen.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Add a full Japanese fighting-game HUD with glossy blue-versus-red interface styling. At the very top, place a center stage title bar reading &amp;#34;東京ディズニーシー ミッキー広場 ショー最前列バトル&amp;#34; and a large timer in the middle reading &amp;#34;TIME 89&amp;#34;. In the top left, add a blue team header &amp;#34;PLAYER1&amp;#34; and team name &amp;#34;最前列ガチ勢A&amp;#34;. In the top right, add a red team header &amp;#34;RIVAL&amp;#34; and team name &amp;#34;ライバルグループB&amp;#34;. On the left side, stack exactly 5 blue player status panels with portraits, level, Japanese class-like nicknames, HP, SP, and BURST meters. The 5 left-side labels are: &amp;#34;Lv.25 ガチ勢リーダー ユウキ&amp;#34;, &amp;#34;Lv.24 筋肉マン タケシ&amp;#34;, &amp;#34;Lv.23 眼鏡オタク シンジ&amp;#34;, &amp;#34;Lv.23 開角心MAX ケント&amp;#34;, &amp;#34;Lv.22 サポート要員 リョウ&amp;#34;. On the right side, stack exactly 5 red rival status panels with the labels: &amp;#34;Lv.27 ライバルリーダー ダイキ&amp;#34;, &amp;#34;Lv.26 パワフル代表 マサル&amp;#34;, &amp;#34;Lv.24 戦略家 コウジ&amp;#34;, &amp;#34;Lv.23 熱血漢 リク&amp;#34;, &amp;#34;Lv.22 サポート女子 サキ&amp;#34;. Each panel should include numeric HP and SP values and segmented BURST gauges, styled like a Japanese arcade RPG-fighter interface.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Place exactly 10 in-battle nameplates above the fighters in the center scene, color-coded blue for the left team and red for the right team. The 10 labels are: &amp;#34;Lv.24 タケシ&amp;#34;, &amp;#34;Lv.25 ユウキ&amp;#34;, &amp;#34;Lv.23 シンジ&amp;#34;, &amp;#34;Lv.23 ケント&amp;#34;, &amp;#34;Lv.22 リョウ&amp;#34;, &amp;#34;Lv.27 ダイキ&amp;#34;, &amp;#34;Lv.26 マサル&amp;#34;, &amp;#34;Lv.23 リク&amp;#34;, &amp;#34;Lv.22 サキ&amp;#34;, &amp;#34;Lv.22 ミサキ&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;At the lower left, add a skill menu titled &amp;#34;スキル&amp;#34; listing exactly 5 skills with SP costs: &amp;#34;ダッシュ突撃 SP 20&amp;#34;, &amp;#34;肩押し強奪 SP 25&amp;#34;, &amp;#34;荷物で場所確保 SP 15&amp;#34;, &amp;#34;ロープくぐり SP 10&amp;#34;, &amp;#34;本気の根性 SP 50&amp;#34;. Beneath that, add a dark description box explaining the highlighted skill &amp;#34;本気の根性&amp;#34; with the Japanese text: &amp;#34;気合で相手を威圧し、どかす! 一定時間、相手が怯みやすくなる! (バーストゲージを大きく消費する) 効果時間:10秒&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;At the bottom center, add an item menu titled &amp;#34;アイテム&amp;#34; with exactly 5 item slots showing icons and counts: a water bottle &amp;#34;x3&amp;#34;, a folded purple towel &amp;#34;x2&amp;#34;, a blue drawstring bag &amp;#34;x1&amp;#34;, a gray backpack &amp;#34;x1&amp;#34;, and a boxed meal &amp;#34;x2&amp;#34;. At the lower right, add a quest panel titled &amp;#34;クエスト&amp;#34; with the mission text &amp;#34;ショー開始までに最前列を死守しろ!&amp;#34; and condition text &amp;#34;条件:ライバルグループを全員後ろに押し戻せ!&amp;#34; and countdown text &amp;#34;ショー開始まで:02:30&amp;#34;. Beside it, add a mini-map titled &amp;#34;ミッキー広場MAP&amp;#34; showing red and blue dots for both teams in the plaza. Along the very bottom edge, include small controller prompts in Japanese for actions such as skill use, item use, grab/push, and dash.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Use dramatic, saturated lighting, crisp detail, realistic clothing folds, authentic plaza stone pavement, and a high-end Japanese game screenshot look. The image should feel like a ridiculous but believable crossover between a real Tokyo DisneySea crowd photo and a competitive arcade battle game interface.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;宫崎骏风短片流程&#34;&gt;宫崎骏风短片流程
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/happycapyai/status/2049468986828697940&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/happycapyai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@happycapyai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/047.webp&#34;
	width=&#34;832&#34;
	height=&#34;709&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/047_hu_c16f4cb372376a6f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/047_hu_b83a8c81f3c6afa3.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;宫崎骏风短片流程&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;117&#34;
		data-flex-basis=&#34;281px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Given a story concept, generate a complete Miyazaki-style animated short film: write a 30-shot script → generate watercolor storyboard images (gpt-image-1) → plan SOFT/HARD transitions → produce video clips with Seedance 2.0 using first/last-frame binding → synthesize the original ambient piano score → stitch everything into a final MP4 with music.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/comparison.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: E-commerce Hero Image Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;E-commerce Hero Images&lt;/code&gt; cases: 20 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;e-commerce-hero-images&#34;&gt;E-commerce Hero Images
&lt;/h2&gt;&lt;h3 id=&#34;e-commerce-hero-images---奢华琥珀香水广告&#34;&gt;E-commerce Hero Images - 奢华琥珀香水广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Polanco_IA/status/2047689647967609037&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Polanco_IA&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Polanco_IA&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/000.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/000_hu_f485d4c5980da91f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/000_hu_79f504b06facaeba.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 奢华琥珀香水广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A luxurious cinematic product photograph of a classic rectangular perfume bottle inspired by {argument name=&amp;#34;brand label&amp;#34; default=&amp;#34;N°5 CHANEL PARIS PARFUM&amp;#34;}, placed upright on a glossy black marble surface with white veining. The bottle is centered slightly to the right, made of clear faceted glass with a large transparent crystal stopper, filled with rich amber-gold perfume that glows from within. Tiny condensation droplets cover the glass, adding texture and realism. Dramatic warm lighting from the upper left creates golden highlights, deep reflections on the marble, and a soft luminous bloom in the background. Wisps of elegant smoke curl around the bottle on both sides, enhancing a moody high-end advertisement feel. Dark background, shallow depth of field, ultra-detailed studio product photography, luxury beauty campaign aesthetic, crisp focus on the bottle, realistic reflections, warm black-and-gold color palette. Add a small white {argument name=&amp;#34;corner logo&amp;#34; default=&amp;#34;Pollo.ai&amp;#34;} in the top-right corner. Square composition, premium commercial ad, photorealistic, high contrast, refined and sophisticated.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---护肤品棚拍图&#34;&gt;E-commerce Hero Images - 护肤品棚拍图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X/status/2047636636847231222&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Strength04_X&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/001.webp&#34;
	width=&#34;1002&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/001_hu_9109c57a0d6d7ec.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/001_hu_8aeaca4f0da10272.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 护肤品棚拍图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;83&#34;
		data-flex-basis=&#34;200px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A soft {argument name=&amp;#34;bottle color&amp;#34; default=&amp;#34;cream-colored&amp;#34;} bottle with a {argument name=&amp;#34;pump color&amp;#34; default=&amp;#34;pastel yellow&amp;#34;} pump stands on a matte podium, surrounded by silky foam and {argument name=&amp;#34;flowers&amp;#34; default=&amp;#34;chamomile blossoms&amp;#34;}. The background is a pale yellow gradient with subtle bubble details. The label emphasizes organic chamomile and calming care. Fresh chamomile flowers accentuate the gentle appeal.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---热带柑橘汽水广告海报&#34;&gt;E-commerce Hero Images - 热带柑橘汽水广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/edimakorfr/status/2047635133466124726&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/edimakorfr&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@edimakorfr&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/002.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/002_hu_50a6f41beed238c7.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/002_hu_4bc62e586c85aec0.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 热带柑橘汽水广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a vibrant tropical commercial poster for a citrus soda bottle, in a bright summer advertising style. Show a single large plastic bottle of {argument name=&amp;#34;product name&amp;#34; default=&amp;#34;Soda&amp;#34;} centered slightly to the right, tilted a little left, with a yellow cap and transparent bottle covered in cold condensation droplets, filled with glowing golden-orange soda. The label should feature sliced oranges and citrus artwork with the brand text &amp;#34;{argument name=&amp;#34;product name&amp;#34; default=&amp;#34;Soda&amp;#34;}&amp;#34;, the phrase &amp;#34;aux agrumes d&amp;#39;été&amp;#34;, and a small green &amp;#34;500 ml&amp;#34; mark. Use a sunny beach background with vivid blue sky, turquoise ocean, soft clouds, and blurred tropical palm leaves entering from the upper right corner. Add dramatic water splashes around the base of the bottle, scattered clear ice cubes, and 5 visible citrus pieces in the foreground: 2 orange wedges, 1 lime half, 1 grapefruit half, and 1 partial orange slice at the far right edge. Place large French promotional text on the left: a huge white headline &amp;#34;{argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;Soda&amp;#34;}&amp;#34; with a small splash accent above it, then yellow script text &amp;#34;aux agrumes d&amp;#39;été&amp;#34; underneath. Add a yellow paint-stroke badge at mid-left with the text &amp;#34;LA FRAÎCHEUR QUI PÉTILLE !&amp;#34;. Add a vertical feature list on the lower left with 3 round icons and French captions: &amp;#34;SAVEURS NATURELLES&amp;#34;, &amp;#34;SANS COLORANTS ARTIFICIELS&amp;#34;, and &amp;#34;EXTRA RAFRAÎCHISSANT&amp;#34;. Add a green brushstroke banner at the bottom left reading &amp;#34;FORMAT PRATIQUE 500 ml&amp;#34;. Add a round beige eco-style seal at the bottom right with green outline and leaf motif, containing the text &amp;#34;{argument name=&amp;#34;seal text&amp;#34; default=&amp;#34;PLAISIR FRUITÉ À CHAQUE GORGÉE&amp;#34;}&amp;#34;. Lighting should be glossy and high-energy with strong sun flare from the upper left, saturated citrus colors, crisp packaging detail, realistic droplets, and polished supermarket-ad realism.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---工业设计展示图&#34;&gt;E-commerce Hero Images - 工业设计展示图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ShamsAmin56/status/2047627860752621647&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ShamsAmin56&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ShamsAmin56&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/003.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/003_hu_8784fe7f2988eab8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/003_hu_78434c2c0300ee54.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 工业设计展示图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Core Subject: [{argument name=&amp;#34;reference&amp;#34; default=&amp;#34;use the uploaded image&amp;#34;}, keep the details, typography and structure locked 100%]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Layout &amp;amp; Composition: A {argument name=&amp;#34;presentation type&amp;#34; default=&amp;#34;professional industrial design presentation sheet&amp;#34;}. The image should be organized into a clean grid system.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Top Row: A 3x3 layout showing top-down flat lay views and close-up macro details of materials.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Middle Section: Three hero shots of the product standing upright in different color ways (Matte Black, Arctic White, and accented variants). The products should be slightly tilted to show depth and form.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bottom Section: A dynamic &amp;#34;floating&amp;#34; composition featuring two products overlapping at opposing angles to showcase the front and side profiles simultaneously.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Environment &amp;amp; Lighting: Set against a minimalist, neutral studio gray background. Soft top-down lighting with realistic contact shadows. High-end product photography aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style &amp;amp; Finish: Matte textures, clean silhouettes, and sharp edges. Leave designated blank areas on the product surfaces for &amp;#34;Placeholder Branding&amp;#34; and &amp;#34;Graphic Mockups.&amp;#34; 4k resolution, Unreal Engine 5 render style, hyper-realistic, clean aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---奢华毛里乐福鞋生活方式照片&#34;&gt;E-commerce Hero Images - 奢华毛里乐福鞋生活方式照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/dynamicwangs/status/2047580984342925545&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/dynamicwangs&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@dynamicwangs&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/004.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/004_hu_50c9da49cd05f85d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/004_hu_49bd32fdee48211d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 奢华毛里乐福鞋生活方式照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A warm, editorial-style lifestyle product photo shot indoors from a low close-up angle, focused on a woman&amp;#39;s lower legs and feet as she tries on 1 pair of black leather backless loafers with tan faux-fur lining. One loafer is worn on the right foot and the left foot is bare, hovering just above the textured cream shag rug, while the second matching loafer lies on the rug in the lower left foreground. The shoes have smooth black leather uppers, a rounded almond toe, open mule-style heel, plush brown fur spilling out around the opening, and a small polished gold horsebit hardware detail across the vamp. The model wears cropped medium-blue denim jeans with a raw frayed hem. The setting is a cozy minimalist interior with a cream rug featuring 2 thin irregular black lines, a neutral wall, and a leaning rectangular mirror with a medium wood frame in the upper right background, softly reflecting the rug and part of the scene. Use soft natural window light, shallow depth of field, subtle film grain, realistic skin texture, muted beige and black palette, relaxed candid composition, premium fashion catalog mood, high detail, photorealistic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---大理石梳妆台香水广告&#34;&gt;E-commerce Hero Images - 大理石梳妆台香水广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MiguelMaestroIA/status/2047555836252151831&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MiguelMaestroIA&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MiguelMaestroIA&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/005.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/005_hu_5d7059f8adafa1a9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/005_hu_1be1808bff17b871.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 大理石梳妆台香水广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A luxury e-commerce advertising photo of a premium perfume bottle on a polished gray-and-white marble vanity, shot in a warm cinematic studio style with soft golden lighting, shallow depth of field, and elegant reflections. The composition is square and high-end, with the perfume bottle centered slightly right of frame and promotional text on the left. The bottle is a tall sculpted hourglass-shaped glass flacon with smoky transparent gray glass fading darker at the base, a glossy gold spherical cap, a gold collar engraved with fine branding, and a large metallic gold interlocking monogram on the front. Keep the branding-inspired feel but do not add extra products. In the foreground left, include 1 cut-crystal bowl with a gold rim, partially cropped. In the background right, include 1 brushed gold cylindrical vase holding 1 bouquet of soft white flowers, blurred. Behind the bottle, add 1 black marble rectangular box with subtle white veining and gold trim. In the lower right foreground, include 1 draped piece of champagne-colored satin fabric, softly out of focus. The background should be dark, luxurious, and softly blurred, with rich brown-black tones and a vertical shadowed panel on the left to support typography. Add elegant serif headline text on the upper left reading {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;Premium Perfume,&amp;#34;} in large warm beige letters, with a smaller serif subheading beneath reading {argument name=&amp;#34;tagline&amp;#34; default=&amp;#34;Subtlety and Elegance&amp;#34;}, plus a thin short gold horizontal line below the subheading. Place a small white logo in the top-right corner reading {argument name=&amp;#34;brand logo&amp;#34; default=&amp;#34;Pollo.ai&amp;#34;}. Emphasize premium materials, realistic glass refraction, gold metallic highlights, luxury product photography, refined composition, soft bokeh, and upscale beauty-ad aesthetics.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---微缩场景护肤品广告&#34;&gt;E-commerce Hero Images - 微缩场景护肤品广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X/status/2048074514278563949&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Strength04_X&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/006.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/006_hu_7a1232684c10cd23.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/006_hu_a4c6ffc53a2a0509.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 微缩场景护肤品广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A hyper-realistic miniature diorama product advertisement featuring an oversized luxury skincare pump bottle labeled &amp;#34;LUXEVEIL Skin Science – Radiance Nourishing Body Lotion&amp;#34; in cream/beige with a polished gold pump top, placed on a circular platform. Tiny figurine construction workers dressed in yellow coveralls and white hard hats swarm around the bottle climbing scaffolding, painting the bottle with rollers, operating a tower crane, working near industrial tanks and pipework, and unloading a miniature flatbed truck. The scene includes metal scaffolding structures, industrial silos, orange traffic cones, wooden barricades, and storage barrels. The overall color palette is warm beige, cream, gold, and mustard yellow. Studio photography style with soft diffused lighting, no shadows, clean beige background. The concept metaphorically shows workers &amp;#34;crafting&amp;#34; or &amp;#34;building&amp;#34; the perfect lotion. Tilt-shift miniature aesthetic, ultra-detailed, commercial product photography, 8K resolution, photorealistic CGI render.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---中国传统艺术与瓷瓶&#34;&gt;E-commerce Hero Images - 中国传统艺术与瓷瓶
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2048046906585280977&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/007.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/007_hu_f04a5b4d6381699.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/007_hu_d9ceaf33efae3a35.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 中国传统艺术与瓷瓶&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A scarf inspired by &amp;#39;A Thousand Li of Rivers and Mountains&amp;#39;, surrounded by Wang Ximeng&amp;#39;s blue-green landscape, with a silky texture and soft lighting.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A famille rose porcelain vase featuring Lady Yang Guifei enjoying flowers, with peony and butterfly patterns in the style of imperial kilns.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---高端游戏主板棚拍图&#34;&gt;E-commerce Hero Images - 高端游戏主板棚拍图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/rojassartorio/status/2048019666816163867&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/rojassartorio&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@rojassartorio&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/008.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/008_hu_dfe6d504cd7e65ab.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/008_hu_f4c8963d2dfc27a9.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 高端游戏主板棚拍图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-end enthusiast ATX gaming motherboard product photo on a dark studio background, shown in a three-quarter top-down perspective angled from the lower left toward the upper right. The board is mostly matte black and gunmetal with sharp geometric armor plates, brushed metal textures, and subtle RGB edge lighting in blue, purple, and magenta. Feature an exposed modern Intel-style CPU socket near the upper center, 4 black DIMM memory slots on the right, large VRM heatsinks across the top and upper left, and multiple reinforced PCIe slots in the lower half. Include 3 major branded heatsink zones: a tall rear I/O shroud at upper left with an illuminated RGB eye logo and the text &amp;#34;MAXIMUS HERO&amp;#34;, a left-side chipset/slot armor piece with the text &amp;#34;SUPREMEFX&amp;#34;, and a large angular lower-right chipset cover with a silver ROG-style emblem plus a lower strip that reads &amp;#34;FOR THOSE WHO DARE&amp;#34;. Show detailed capacitors, headers, power connectors, debug display reading &amp;#34;88&amp;#34; at the top right, and a small round start button nearby. Ultra-detailed commercial product photography, crisp focus across the board, realistic reflections on metal, premium luxury tech aesthetic, dramatic low-key lighting, clean black seamless backdrop, no cables, no CPU, no RAM, no other objects.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---高端谷物粉广告板&#34;&gt;E-commerce Hero Images - 高端谷物粉广告板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/WooGabriel76263/status/2047988112094101770&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/WooGabriel76263&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@WooGabriel76263&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/009.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/009_hu_1aee47064dac42f4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/009_hu_59cfbae4fc6e62d6.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 高端谷物粉广告板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;Chinese e-commerce product marketing board&amp;#34;,&amp;#34;product&amp;#34;:{&amp;#34;category&amp;#34;:&amp;#34;instant grain powder drink&amp;#34;,&amp;#34;brand&amp;#34;:&amp;#34;五谷磨房&amp;#34;,&amp;#34;name&amp;#34;:&amp;#34;核桃芝麻黑豆粉&amp;#34;,&amp;#34;packaging&amp;#34;:&amp;#34;matte black retail box with gold Chinese typography and a large swirling bowl graphic on the front, plus individual black sachets inside&amp;#34;,&amp;#34;net weight&amp;#34;:&amp;#34;320g (32g×10袋)&amp;#34;},&amp;#34;style&amp;#34;:{&amp;#34;overall&amp;#34;:&amp;#34;premium dark food advertising layout&amp;#34;,&amp;#34;color palette&amp;#34;:[&amp;#34;black&amp;#34;,&amp;#34;deep brown&amp;#34;,&amp;#34;warm gold&amp;#34;,&amp;#34;beige&amp;#34;,&amp;#34;walnut brown&amp;#34;],&amp;#34;lighting&amp;#34;:&amp;#34;dramatic studio lighting with glossy highlights and warm rim light&amp;#34;,&amp;#34;mood&amp;#34;:&amp;#34;luxurious, nourishing, healthy, appetizing&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;format&amp;#34;:&amp;#34;single tall composite board divided into 5 major sections plus a bottom storyboard table&amp;#34;,&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;主图/Main image&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top-left&amp;#34;,&amp;#34;count&amp;#34;:8,&amp;#34;labels&amp;#34;:[&amp;#34;五谷磨房&amp;#34;,&amp;#34;核桃芝麻黑豆粉&amp;#34;,&amp;#34;32g×10袋 独立包装&amp;#34;,&amp;#34;五黑谷物&amp;#34;,&amp;#34;香浓醇厚&amp;#34;,&amp;#34;独立小袋&amp;#34;,&amp;#34;即冲即饮&amp;#34;,&amp;#34;product box and drink cup&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;详情页/Details page&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top-right&amp;#34;,&amp;#34;count&amp;#34;:5,&amp;#34;labels&amp;#34;:[&amp;#34;黑芝麻&amp;#34;,&amp;#34;黑豆&amp;#34;,&amp;#34;黑米&amp;#34;,&amp;#34;核桃&amp;#34;,&amp;#34;谷物粉&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;香浓细腻 顺滑好喝&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;mid-right&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;一冲即饮 营养美味&amp;#34;,&amp;#34;粉质细腻 Fine powder&amp;#34;,&amp;#34;浓香醇厚 Rich &amp;amp; Smooth&amp;#34;,&amp;#34;营养代餐 Nutritious&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;冲泡方式 HOW TO MAKE&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;mid-left lower&amp;#34;,&amp;#34;count&amp;#34;:3,&amp;#34;labels&amp;#34;:[&amp;#34;1 倒入一袋粉(32g)&amp;#34;,&amp;#34;2 加入200ml 热水或牛奶&amp;#34;,&amp;#34;3 搅拌均匀 即可享用&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;一杯好谷物 轻松好生活&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower-left&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;元气早餐&amp;#34;,&amp;#34;办公室下午茶&amp;#34;,&amp;#34;健身代餐&amp;#34;,&amp;#34;睡前暖饮&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;独立小袋 随身携带&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower-right&amp;#34;,&amp;#34;count&amp;#34;:3,&amp;#34;labels&amp;#34;:[&amp;#34;独立小袋 便携卫生&amp;#34;,&amp;#34;锁住新鲜 防潮防氧化&amp;#34;,&amp;#34;1袋1杯 精准份量&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;视频推广广告 seedance 2.0 视频提示词 + 分镜头脚本&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom full width&amp;#34;,&amp;#34;count&amp;#34;:7,&amp;#34;labels&amp;#34;:[&amp;#34;镜头1 开场-产品展示&amp;#34;,&amp;#34;镜头2 食材特写&amp;#34;,&amp;#34;镜头3 倒粉入杯&amp;#34;,&amp;#34;镜头4 冲泡搅拌&amp;#34;,&amp;#34;镜头5 饮用场景&amp;#34;,&amp;#34;镜头6 产品卖点&amp;#34;,&amp;#34;镜头7 结尾口号&amp;#34;]}],&amp;#34;grid&amp;#34;:&amp;#34;top area split into left main image and right detail page; middle area split into preparation guide and feature panel; lower area split into lifestyle scenarios and sachet carry section; bottom is a full-width tabular storyboard&amp;#34;},&amp;#34;scene_elements&amp;#34;:{&amp;#34;ingredients&amp;#34;:[{&amp;#34;name&amp;#34;:&amp;#34;black sesame&amp;#34;,&amp;#34;form&amp;#34;:&amp;#34;small black seeds in a round bowl&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;black beans&amp;#34;,&amp;#34;form&amp;#34;:&amp;#34;glossy whole beans in a round bowl&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;black rice&amp;#34;,&amp;#34;form&amp;#34;:&amp;#34;dark long grains in a round bowl&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;walnuts&amp;#34;,&amp;#34;form&amp;#34;:&amp;#34;walnut halves in a round bowl&amp;#34;},{&amp;#34;name&amp;#34;:&amp;#34;grain powder&amp;#34;,&amp;#34;form&amp;#34;:&amp;#34;light beige powder in a round bowl&amp;#34;}],&amp;#34;serving&amp;#34;:{&amp;#34;drink&amp;#34;:&amp;#34;thick gray-brown sesame walnut bean beverage with smooth surface swirl&amp;#34;,&amp;#34;cup&amp;#34;:&amp;#34;transparent glass cup with handle&amp;#34;,&amp;#34;utensil&amp;#34;:&amp;#34;metal spoon stirring or resting inside drink&amp;#34;},&amp;#34;supporting props&amp;#34;:[&amp;#34;walnuts on table&amp;#34;,&amp;#34;scattered black beans&amp;#34;,&amp;#34;grain stalks or wheat stems&amp;#34;,&amp;#34;dark tabletop&amp;#34;,&amp;#34;ingredient bowls&amp;#34;,&amp;#34;open package showing 5 visible sachets&amp;#34;]},&amp;#34;text_treatment&amp;#34;:{&amp;#34;headline_font&amp;#34;:&amp;#34;bold elegant Chinese display type in metallic gold&amp;#34;,&amp;#34;body_font&amp;#34;:&amp;#34;clean sans serif Chinese with occasional English subtitles&amp;#34;,&amp;#34;accent&amp;#34;:&amp;#34;thin gold divider lines and circular ingredient frames&amp;#34;},&amp;#34;camera_and_composition&amp;#34;:{&amp;#34;product_shots&amp;#34;:&amp;#34;front-facing hero box, angled sachet display box, close-up beverage macro&amp;#34;,&amp;#34;food_photography&amp;#34;:&amp;#34;high-detail commercial food styling, shallow depth of field, crisp texture emphasis&amp;#34;,&amp;#34;aspect_ratio&amp;#34;:&amp;#34;portrait, approximately 9:16&amp;#34;},&amp;#34;quality&amp;#34;:&amp;#34;ultra-detailed commercial design mockup, polished e-commerce key visual plus details page plus ad storyboard, 4K&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---耳机电商信息图&#34;&gt;E-commerce Hero Images - 耳机电商信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07/status/2047981795552153860&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SPEEDAI07&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/010.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/010_hu_cc55fe000899aae1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/010_hu_eb8189134e486547.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 耳机电商信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-impact e-commerce infographic for &amp;#34;{argument name=&amp;#34;product&amp;#34; default=&amp;#34;Apple Pods Pro 3&amp;#34;}&amp;#34; wireless earbuds.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Foreground: An extreme close-up of a hand holding an open glossy white wireless earbud charging case toward the camera. Inside the case are two sleek white earbuds with black speaker accents. A small glowing green LED indicator is visible on the front of the case. The hand and case have slight macro-lens depth blur for realism.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mid-ground: A {argument name=&amp;#34;model&amp;#34; default=&amp;#34;confident young woman&amp;#34;} with tan skin, brown eyes, and dark hair tied in a messy bun. She has natural makeup with a dewy glow. She is wearing a plain {argument name=&amp;#34;clothing&amp;#34; default=&amp;#34;yellow athletic t-shirt&amp;#34;} (no logos). One white earbud is in her ear. She is looking directly at the camera with a subtle, confident expression.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background: Clean soft gray gradient studio backdrop with shallow depth of field. Diagonal rainbow prism lens flares and soft light leaks across the scene. Several blurred floating white earbuds in the background for depth and motion.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: Soft professional studio lighting with glossy highlights on the product, subtle rim light on the model, high dynamic range.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Typography (modern sans-serif, white):
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Top center (behind model): Large bold text “AIRPODS”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Top right: “Apple Pods Pro 3”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mid-left: “Premium sound and noise cancellation”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mid-right: Large bold “30” with “hours of battery life”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bottom-right: Large bold “1” with “year warranty”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: Ultra-realistic, commercial product photography, 8k resolution, sharp focus on product case, shallow depth of field, vibrant yet clean color palette, premium advertising aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---可持续-t-恤种植吊牌广告&#34;&gt;E-commerce Hero Images - 可持续 T 恤种植吊牌广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Diplomeme/status/2047957339974828092&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Diplomeme&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Diplomeme&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/011.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/011_hu_2738b20eb2a75528.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/011_hu_de172573b08c1c84.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 可持续 T 恤种植吊牌广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A premium eco-conscious fashion advertisement, shot as a refined editorial product photo. A single off-white or natural cream crew-neck T-shirt hangs on a smooth wooden hanger with a black metal hook, placed against a lush wall of dense green leaves and climbing vines. The hanger has a small minimalist brand monogram engraved near the neck. The shirt is shown from the upper torso down to part of the hem, slightly angled, with soft natural folds and high-quality cotton texture. Printed inside the collar is a minimalist brand mark and the text &amp;#34;JUGGERKNOT ORIGINALS&amp;#34;. Hanging from the neckline is 1 rectangular recycled-paper seed tag tied with rustic brown twine; the tag reads &amp;#34;Tulsi&amp;#34; and &amp;#34;Plantable Seed Tag&amp;#34; with a tiny sprouting seed detail near the bottom. From the tag, 1 real tulsi plant stem grows upward across the front of the shirt, with several fresh green leaves, visually demonstrating that the tag is plantable. Add a small fine-label annotation near the tag reading &amp;#34;TULSI PLANTABLE SEED TAG&amp;#34;. On the right side, large elegant white serif typography says {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;Plant it.&amp;#34;}. Beneath it, place 3 stacked lines of narrow uppercase sans-serif copy: &amp;#34;WEAR IT.&amp;#34;, &amp;#34;PLANT IT.&amp;#34;, and &amp;#34;GROW WITH IT.&amp;#34;. At the lower left, add the brand name in spaced uppercase serif text: {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;JUGGERKNOT ORIGINALS&amp;#34;}, with a thin horizontal line above it. At the lower right, add 3 lines of small uppercase sans-serif text: &amp;#34;FSC® CERTIFIED PACKAGING.&amp;#34;, &amp;#34;ZERO SYNTHETIC FIBRE&amp;#34;, and &amp;#34;BACKED BY ZERODHA.&amp;#34;. Use soft diffused daylight, shallow depth of field, moody green-and-cream color grading, luxury sustainable-brand aesthetics, clean composition, vertical poster layout, subtle shadows, and a calm organic atmosphere. Keep the design minimal, premium, and photorealistic, with the shirt occupying the left half and the typography balanced on the right.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---优雅化妆品海报提示词&#34;&gt;E-commerce Hero Images - 优雅化妆品海报提示词
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Adam38363368936/status/2047917266361360682&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Adam38363368936&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Adam38363368936&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/012.webp&#34;
	width=&#34;1192&#34;
	height=&#34;1136&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/012_hu_801114ffae558d17.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/012_hu_a8bcdc57dbe93eef.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 优雅化妆品海报提示词&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;104&#34;
		data-flex-basis=&#34;251px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;An image in a {argument name=&amp;#34;reference style&amp;#34; default=&amp;#34;similar style&amp;#34;}, a product image for {argument name=&amp;#34;product&amp;#34; default=&amp;#34;lipstick&amp;#34;}, requiring color coordination and a grand aesthetic in a {argument name=&amp;#34;style&amp;#34; default=&amp;#34;poster style&amp;#34;}, with language changed to Simplified Chinese.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---极简产品广告pure-crunch&#34;&gt;E-commerce Hero Images - 极简产品广告：PURE CRUNCH
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X/status/2047917220165231011&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Strength04_X&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/013.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/013_hu_dde28b1797efbf91.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/013_hu_344e164be8d1104e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 极简产品广告：PURE CRUNCH&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A minimalist product advertisement with a {argument name=&amp;#34;product&amp;#34; default=&amp;#34;fried chicken bucket&amp;#34;} placed on a clean white podium.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background: soft gradient ({argument name=&amp;#34;background gradient&amp;#34; default=&amp;#34;light cream to white&amp;#34;}), clean studio.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: soft diffused, premium Apple-style.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Typography (center): “{argument name=&amp;#34;headline&amp;#34; default=&amp;#34;PURE CRUNCH&amp;#34;}”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Small text below: “Nothing extra. Just perfection.”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: ultra clean, editorial minimal, high-end branding, 8K.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---浅蓝-crocs-时尚广告&#34;&gt;E-commerce Hero Images - 浅蓝 Crocs 时尚广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07/status/2047907058079650035&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SPEEDAI07&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/014.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/014_hu_f4086b06d0c96f5b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/014_hu_13b9e9394ec702f2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 浅蓝 Crocs 时尚广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-end studio advertising poster for {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;crocs&amp;#34;}, in a monochrome pastel blue and white color palette, with a glossy reflective floor and a soft sky-blue backdrop. The background is dominated by the word {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;CROCS&amp;#34;} in gigantic bold white condensed sans-serif letters spanning nearly the full height of the image. In the top-right corner, add small white text reading &amp;#34;Designed with ChatGPT&amp;#34;. Feature 3 adult women with shoulder-length wavy light brown to dark blonde hair, all wearing loose oversized white long-sleeve tops and flowing white wide-leg pants, styled as minimalist fashion models with relaxed neutral expressions. Their faces are intentionally obscured or blurred. One model reclines against an enormous upright white clog shoe on the left side, one model sits casually on top of a giant white clog on the upper right, and one model lounges on the floor at the lower right, leaning back on one arm while seated partly on a glossy blue sphere. Include 2 oversized white clog shoes as hero props: one standing vertically on the left showing the sole and side profile, and one angled on blue crystalline blocks at center-right showing the upper and toe box. Both clogs are classic foam slip-on style with perforation holes, chunky tread, heel straps, and circular logo rivets. The center-right clog is decorated with exactly 8 visible charms pinned to the upper: a blue-green iridescent round charm, a white daisy with yellow center, a black-and-white round emblem near the strap, a small &amp;#34;CROCS&amp;#34; word charm, a dark flower, a peace-hand sign, an orange smiley face, a white cloud, and an orange flower. Scatter exactly 7 glossy floating or grounded blue spheres of varying sizes around the set: one large sphere behind the left model, one medium sphere floating near center, one medium sphere at bottom left foreground, one medium sphere used as a seat under the lower-right model, one small sphere near the upper left, and 2 additional blue spheres integrated into the composition. Add translucent sculptural gel-like forms at the far left and far right edges, plus angular blue crystal-like rocks beneath the right shoe. At the bottom center, place white promotional copy in a clean sans-serif font: {argument name=&amp;#34;tagline line 1&amp;#34; default=&amp;#34;Made for comfort, worn for confidence.&amp;#34;} on the first line and {argument name=&amp;#34;tagline line 2&amp;#34; default=&amp;#34;Because life feels better when your feet stop complaining.&amp;#34;} on the second line. Beneath that, show 4 minimalist feature icons with labels in white: &amp;#34;ICONIC COMFORT&amp;#34;, &amp;#34;LIGHTWEIGHT&amp;#34;, &amp;#34;EASY TO CLEAN&amp;#34;, and &amp;#34;UNIQUELY YOU&amp;#34;. Place the {argument name=&amp;#34;logo text&amp;#34; default=&amp;#34;crocs&amp;#34;} logo in bold lowercase white at the bottom center with a small trademark symbol. The overall style should feel like a premium surreal fashion campaign, clean editorial lighting, soft shadows, glossy textures, airy composition, and modern lifestyle product advertising.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;e-commerce-hero-images---九宫格产品-tvc-分镜&#34;&gt;E-commerce Hero Images - 九宫格产品 TVC 分镜
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Magncsans/status/2047876253898903594&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Magncsans&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Magncsans&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/015.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/015_hu_d4d090f6211890cf.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/015_hu_67b26eab7b29b5cd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商主图 - 九宫格产品 TVC 分镜&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Using the provided reference image, transform the single casual product photo into a polished e-commerce TVC storyboard board for a {argument name=&amp;#34;video duration&amp;#34; default=&amp;#34;15-second&amp;#34;} ad in a {argument name=&amp;#34;aspect ratio&amp;#34; default=&amp;#34;9:16&amp;#34;} vertical format, presented as a 9-panel grid. Keep the same blue-and-white ceramic ashtray as the product base, but restage it across cinematic advertising shots with warm premium lighting, shallow depth of field, and a refined lifestyle desktop environment. Add a dark storyboard layout with Chinese titles and timing for each panel. Include exactly 9 scenes: 1) environment-establishing wide shot with desk, books, window, and the product placed in context; 2) hero product medium shot on the table; 3) extreme close-up of the blue floral craftsmanship pattern; 4) use case showing a hand placing a cigarette into the ashtray with visible smoke; 5) top-down capacity display showing multiple cigarette butts inside; 6) cleaning scene under running water in a sink with a hand holding the product; 7) bottom-detail close-up showing the underside and anti-slip pads; 8) mood/lifestyle scene at night with the product on a desk, smoke rising, and ambient lamp light; 9) brand closing frame with the product as the hero plus Chinese marketing text. Add the overall header text “产品TVC分镜脚本(15秒 / 9:16竖屏 / 9宫格)” and a product subtitle naming it {argument name=&amp;#34;product name&amp;#34; default=&amp;#34;青花瓷烟灰缸&amp;#34;}. Give each of the 9 panels a Chinese scene title and timestamp, plus small descriptive Chinese copy beneath each image in the style of a professional commercial shot list. Use premium, realistic commercial photography throughout, consistent product identity, elegant Chinese aesthetic, and a clean high-end storyboard presentation.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;电商直播-ui-样机&#34;&gt;电商直播 UI 样机
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sjbbxhz/status/2045684734714380687&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sjbbxhz&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sjbbxhz&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/016.webp&#34;
	width=&#34;1093&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/016_hu_ee2c217cb49a7e0b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/016_hu_891113257a7a7fc5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电商直播 UI 样机&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;91&#34;
		data-flex-basis=&#34;218px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
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&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;42
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;43
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;44
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&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;live stream UI mockup&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;subject&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;description&amp;#34;: &amp;#34;portrait of {argument name=\&amp;#34;host name\&amp;#34; default=\&amp;#34;Elon Musk\&amp;#34;}, smiling, wearing a black t-shirt with a white technical schematic graphic&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;background&amp;#34;: &amp;#34;left side shows a screen with &amp;#39;{argument name=\&amp;#34;left background logo\&amp;#34; default=\&amp;#34;SPACEX\&amp;#34;}&amp;#39; text, right side shows a red &amp;#39;{argument name=\&amp;#34;right background logo\&amp;#34; default=\&amp;#34;Tesla T logo\&amp;#34;}&amp;#39; and a dark car&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;ui_overlay&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;top_header&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;host_info&amp;#34;: &amp;#34;avatar, name &amp;#39;{argument name=\&amp;#34;host name\&amp;#34; default=\&amp;#34;Elon Musk\&amp;#34;}&amp;#39;, subtext &amp;#39;55.6万本场点赞&amp;#39;, red &amp;#39;关注&amp;#39; button&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;rank_badge&amp;#34;: &amp;#34;gold coin icon with &amp;#39;全站第1名&amp;#39;&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;viewer_stats&amp;#34;: &amp;#34;3 top viewer avatars with &amp;#39;12.3w&amp;#39;, &amp;#39;8.6w&amp;#39;, &amp;#39;5.7w&amp;#39;, total &amp;#39;68.7万&amp;#39;, &amp;#39;X&amp;#39; close button&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;right_links&amp;#34;: &amp;#34;&amp;#39;更多直播 &amp;gt;&amp;#39;, &amp;#39;礼物展馆 0/24&amp;#39; with blue &amp;#39;经典&amp;#39; tag&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;mid_left_gifts&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;count&amp;#34;: 2,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;items&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;avatar &amp;#39;科技爱好者&amp;#39;, &amp;#39;送小心心&amp;#39;, heart icon x 1314&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;avatar &amp;#39;星辰大海&amp;#39;, &amp;#39;送火箭&amp;#39;, rocket icon x 666&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;bottom_left_chat&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;system_message&amp;#34;: &amp;#34;level 37 badge &amp;#39;宇宙漫游者 加入了直播间&amp;#39;&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;message_count&amp;#34;: 7,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;messages&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;小火箭: 马斯克!未来可期!🚀&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;future: 特斯拉Model 2什么时候出?&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;星空梦想家: SpaceX今年能上火星吗?&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;AI探索者: Neuralink进展如何?&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;帅气的网友: 马总好!&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Mars: 第一次来你的直播,超激动!&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;用户123: 讲讲AI吧,会取代人类吗?&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;bottom_right_product_card&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;hot_tag&amp;#34;: &amp;#34;orange &amp;#39;热卖 x 1888&amp;#39;&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;image&amp;#34;: &amp;#34;Tesla Cybertruck&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;title&amp;#34;: &amp;#34;{argument name=\&amp;#34;product name\&amp;#34; default=\&amp;#34;特斯拉Cybertruck 电动皮卡\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;price&amp;#34;: &amp;#34;{argument name=\&amp;#34;product price\&amp;#34; default=\&amp;#34;¥ 1,618,000\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;button&amp;#34;: &amp;#34;red &amp;#39;抢&amp;#39; button&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;floating_animation&amp;#34;: &amp;#34;translucent hearts floating up the right edge&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;bottom_bar&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;input_field&amp;#34;: &amp;#34;&amp;#39;说点什么...&amp;#39;&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;icons&amp;#34;: [&amp;#34;smiley face&amp;#34;, &amp;#34;three dots&amp;#34;, &amp;#34;shopping cart&amp;#34;, &amp;#34;gift box&amp;#34;, &amp;#34;share&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;高端产品棚拍模板&#34;&gt;高端产品棚拍模板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/PrometheanAIX/status/2049141839882522707&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/PrometheanAIX&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@PrometheanAIX&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/017.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/017_hu_26d0e5c826e59305.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/017_hu_fa7e495c6ca472c4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;高端产品棚拍模板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a premium product studio image of a [PRODUCT] for [BRAND], designed in line with [BRAND REFERENCE]. Show the [PRODUCT] floating against a clean light gray to soft white gradient background with a minimal high-end tech aesthetic. The [PRODUCT] should feel sleek, modern, refined, and premium, with subtle illuminated accents in [LIGHTING COLOR]. Use a three-quarter front angle so both earcups are visible, with detailed industrial design elements. Include the [BRAND] name cleanly on the product. Lighting should be soft, controlled, and editorial, with crisp highlights, soft shadows, and a subtle colored rim light or glow in [LIGHTING COLOR]. Emphasize material realism and clean geometric forms. Keep the background uncluttered and minimal. No extra props, no people, no text overlays, no packaging, and no distracting elements. Focus entirely on the [PRODUCT] as the hero product.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;高端食品摄影模板&#34;&gt;高端食品摄影模板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/PrometheanAIX/status/2049122713722106161&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/PrometheanAIX&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@PrometheanAIX&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/018.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/018_hu_d9cf8eee6ceebcb6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/018_hu_86ce7cfe747e2670.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;高端食品摄影模板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a square [ASPECT RATIO] premium food photography image of a steaming [FOOD] served in a dark black stone bowl or cast-iron skillet on a wooden board. The dish should look hot, glossy, spicy, and freshly served, with bite-sized pieces of browned protein, dried red chilies, green scallions, white onion, garlic, chili flakes, and visible Sichuan peppercorns coated in a deep red, oily Szechuan sauce. Use a slightly elevated close-up camera angle with shallow depth of field. Make the food the clear hero of the image, centered and richly detailed. Add visible steam rising naturally from the dish. Surround the bowl with subtle restaurant-style props like a dark red tray, scattered dried chilies, peppercorns, a small sauce bowl, or a blurred teapot in the background. Lighting should feel warm, moody, and editorial, like a high-end restaurant food shoot. Emphasize realistic textures and keep the image appetizing, realistic, cinematic, and polished. Avoid text, logos, hands, people, utensils covering the food, cartoon styling, fake plastic textures, excessive symmetry, or an overly clean stock-photo look.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;汉堡主视觉与九宫格广告分镜&#34;&gt;汉堡主视觉与九宫格广告分镜
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Gdgtify/status/2049449869530775877&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Gdgtify&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Gdgtify&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/019.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/019_hu_b07edc1e2ab93dae.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/019_hu_7eadfa0842e62977.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;汉堡主视觉与九宫格广告分镜&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Prompt 1: Create a cinematic hero image of a gourmet cheeseburger on a dark stone surface with glossy brioche bun, melted cheese, crisp lettuce, tomato, grilled patty, sauce, realistic texture, appetizing steam, warm side light, shallow depth of field, premium food commercial style, no text/logos/watermark.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Prompt 2: Create a 9-cell hybrid keyframe-to-transition storyboard sheet for a 15-second gourmet burger ad, moving from empty surface to ingredient assembly to final macro hero shot. Use large S cells and smaller T cells, motion arrows, ghosted ingredient positions, steam, sauce trails, and camera push-in icons. Style: premium food commercial, warm lighting, rich texture, appetizing, cinematic, minimal labels only. No logos, no watermark.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/ecommerce.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: E-commerce, Posters, Portraits, and UI</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/</guid>
        <description>&lt;p&gt;This is an index for a set of GPT Image 2 prompt cases. The original collection is large enough that a single page would be too long, so it is split into several pages by internal category.&lt;/p&gt;
&lt;h2 id=&#34;category-navigation&#34;&gt;Category Navigation
&lt;/h2&gt;&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Category&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Cases&lt;/th&gt;
          &lt;th&gt;Page&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;E-commerce Hero Images&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;20&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Image Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Ad Creative&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;19&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Portrait Photography&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;55&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Poster Illustration&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;101&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Character Design&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;13&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;UI and Social Media&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;56&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Comparisons and Community Cases&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;48&lt;/td&gt;
          &lt;td&gt;&lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/ecommerce.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;E-commerce hero image cases&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/ad-creative.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Ad creative cases&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/portrait.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Portrait photography cases&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/poster.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Poster illustration cases&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/character.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Character design cases&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/ui.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;UI and social media cases&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/comparison.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Comparisons and community cases&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: Portrait Photography Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;Portrait Photography&lt;/code&gt; cases: 55 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;portrait-photography&#34;&gt;Portrait Photography
&lt;/h2&gt;&lt;h3 id=&#34;便利店霓虹人像&#34;&gt;便利店霓虹人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2045167461147042202&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/000.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/000_hu_f5ded828a47ee136.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/000_hu_9c32af7f48c22c7b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;便利店霓虹人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;35mm film photography with harsh convenience store fluorescent lighting mixed with colorful neon signs from outside, authentic film grain, high contrast, slight color cast, cinematic street editorial style, intimate medium shot, early 20s sexy Chinese female idol with ultra-realistic delicate refined Chinese features, seductive almond-shaped fox eyes with natural double eyelids, high nose bridge, small sharp V-shaped jawline, flawless porcelain skin with cool ivory undertone and visible specular highlights from fluorescent light, subtle skin texture and micro pores, natural dewy makeup with soft flush on cheeks, glossy natural pink lips slightly parted, subtle natural freckles across nose and cheeks, long dark brown hair in a messy high ponytail with many loose strands falling around face and neck, wearing an oversized white button-up shirt as the only top, unbuttoned at the top with deep cleavage and loosely tied at the waist, paired with a tiny black pleated mini skirt, barefoot in simple white slides, seductive casual leaning pose against the glass door of a 24-hour convenience store at late night, body slightly arched, one leg bent with foot resting against the door frame, the other leg straight, one hand holding a bottle of iced drink, the other hand lightly pulling the hem of her mini skirt, intensely seductive playful yet slightly vulnerable gaze straight at the viewer with soft doe eyes full of quiet temptation and teasing smile, bright cold fluorescent store light from inside mixed with pink and blue neon glow from outside signs, realistic reflections on glass door, blurred convenience store interior with shelves and snacks in background, authentic 35mm film color grading with harsh lighting and neon accents, extremely sharp yet soft skin rendering, natural hair strands, realistic fabric wrinkles and drape on the oversized shirt and mini skirt, no plastic skin, no digital over-sharpening, no airbrushing, no blemishes, no moles, no oily skin, no watermark, no text, authentic late-night convenience store atmosphere
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;电影感极简人像&#34;&gt;电影感极简人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/iam_miharbi/status/2045151354679665101&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/iam_miharbi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@iam_miharbi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/001.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/001_hu_a8cd363b79ab3a8d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/001_hu_2842eaf4560e93aa.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电影感极简人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Generate a cinematic minimal portrait of a solitary man standing in an intense orange to red gradient environment, strong silhouette lighting, deep shadow contrast, reflective glossy floor, symmetrical composition, minimal
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日式温泉旅馆人像&#34;&gt;日式温泉旅馆人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2045092449803284923&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/002.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/002_hu_3bb6d0434e7554a2.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/002_hu_f7835d1315a59bf2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日式温泉旅馆人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;35mm film photography, warm vintage Japanese onsen ryokan aesthetic, soft ambient wooden lantern lighting mixed with gentle natural window light, subtle film grain, gentle color shift, high atmosphere editorial style, intimate medium shot, early 20s beautiful Chinese female idol with ultra-realistic delicate refined Chinese features, seductive almond-shaped fox eyes with natural double eyelids, high nose bridge, small sharp V-shaped jawline, flawless porcelain skin with warm ivory undertone, visible subtle skin texture and micro pores, soft natural makeup with dewy glow, subtle rosy flush on cheeks, natural soft pink lips slightly parted, long dark brown hair tied in a loose low bun with some messy strands falling around face and neck, wearing a loose white yukata (traditional Japanese bathrobe) deliberately slipped off one shoulder and loosely tied at the waist, the fabric slightly open revealing smooth skin and subtle cleavage, barefoot, seductive relaxed sitting pose on the edge of a traditional wooden engawa veranda at a vintage onsen ryokan, body slightly turned toward the camera, one leg bent with foot resting on the wooden floor, the other leg gently dangling, one hand lightly holding the yukata collar, the other hand resting on the wooden floor behind her for support, softly arched back to gently accentuate curves, intensely seductive yet gentle and inviting gaze straight at the viewer with soft doe eyes full of quiet temptation and warmth, warm wooden interior with paper sliding doors and distant steaming hot spring in soft focus, gentle rim lighting highlighting skin and fabric texture, authentic vintage film color grading with warm tones, extremely sharp yet soft skin rendering, natural hair strands, realistic fabric wrinkles and drape on the yukata, no plastic skin, no digital over-sharpening, no airbrushing, no blemishes, no moles, no oily skin, no watermark, no text, authentic 35mm film Japanese onsen ryokan atmosphere
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;35mm-闪光编辑风人像&#34;&gt;35mm 闪光编辑风人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2045052982728016131&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/003.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/003_hu_305319b81c9e8f3d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/003_hu_beb530d223306f78.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;35mm 闪光编辑风人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;35mm color film photography with harsh direct on-camera flash, specular highlights on skin and clothing, strong catchlights in eyes, high contrast flash illumination, authentic film grain and color shift, high fashion fresh innocent basketball court editorial style, intimate first-person low-angle POV shot from below, early 20s sexy Chinese female idol with ultra-realistic delicate refined Chinese features, seductive almond-shaped fox eyes with natural double eyelids, high nose bridge, small sharp V-shaped jawline, flawless realistic porcelain skin with cool ivory undertone and visible flash specular highlights, fine delicate skin texture with subtle pores micro details and natural dewy glow under flash, fresh natural sporty makeup with soft dewy glow, subtle natural flush on cheeks, natural pink lips slightly parted, subtle natural freckles across nose and cheeks, long dark brown hair tied in a high playful ponytail with some loose strands framing the face and realistic loose strands, wearing a loose white tank top and white high-waisted basketball shorts, white knee-high sports socks, seductive natural leaning pose against the basketball hoop pole on the outdoor court at dusk, body angled sideways with naturally arched back and hips gently pushed back to accentuate perky round hips and sexy butt curve, one leg naturally extended forward toward the camera and the other leg slightly bent to emphasize long sexy legs, both hands lightly resting on the basketball pole at shoulder height, intensely seductive playful yet pitiable doe-eyed gaze straight at the viewer with soft vulnerable longing eyes and a gentle teasing smile full of quiet temptation and desire, harsh direct on-camera flash creating sharp specular highlights and strong catchlights, background with blurred basketball court and hoop under dusk sky, high contrast film color grading with natural flash look, extremely sharp yet soft skin rendering with authentic 35mm direct flash aesthetic, natural hair strands, realistic fabric texture on tank top and shorts with socks detail, no plastic skin, no digital over-sharpening, no airbrushing, no blemishes, no moles, no oily skin, no watermark, no text, authentic 35mm direct flash film basketball court look --ar 9:16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;卧室镜前自拍人像&#34;&gt;卧室镜前自拍人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010/status/2045002808903020962&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Shinning1010&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/004.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/004_hu_3aa3d6321aca43eb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/004_hu_a4607499955447e6.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;卧室镜前自拍人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A stunning 18-year-old Chinese girl with a youthful, pure face and realistic skin texture, sitting on a cozy, slightly messy bed in her bedroom. She is taking a mirror selfie with a smartphone, capturing a natural and intimate moment. Wearing casual gray loungewear and neat white crew socks. Soft natural light (golden hour) streams in from a side window, creating a warm, moody, and cinematic atmosphere. 35mm lens, sharp focus on the subject in the mirror, depth of field with a beautifully blurred background (bokeh). Photorealistic, 8K, high resolution, studio quality, masterpiece.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Negative Prompts: no extra limbs, no deformed hands, no blur, no noise, no watermark, no text, no cartoon/anime style. Aspect Ratio: 3:4.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;柔和通透-35mm-人像&#34;&gt;柔和通透 35mm 人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046115431144902732&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/005.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/005_hu_ead3166a14d82b24.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/005_hu_9d803bc26e7fa005.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;柔和通透 35mm 人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Analog 35mm film photography, soft airy Japanese-style aesthetic, gentle diffused natural window light, slight overexposure, pastel tones, low contrast, soft highlights, minimal indoor setting near a window with white curtains, clean light-colored wall, natural composition, eye-level, slightly closer full-body framing (mid-thigh to head), young East Asian woman, natural minimal makeup, soft realistic skin texture, long slightly messy dark hair, oversized white button-up shirt, light casual shorts, barefoot, simple and relaxed styling, standing naturally with relaxed posture, arms loosely at sides or slightly behind, facing camera, gentle soft smile, subtle stillness, focus on light, air, and quiet everyday mood, soft film grain, dreamy and understated atmosphere --ar 9:16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华魅力美妆人像&#34;&gt;奢华魅力美妆人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/patrickassale/status/2044581766309060765&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/patrickassale&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@patrickassale&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/006.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/006_hu_290832876b0a66f1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/006_hu_d476e80abdbb6f01.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华魅力美妆人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Luxury Glam Beauty Portrait:, Beautiful Black woman, youthful spirit, creamy vanilla, silk press, mahogany red, subtle confidence, textured fabric, sapphire blue, minimal jewelry, beachside breeze, lens flare effect, nostalgic, cinematic lens, symmetrical composition, soft focus, high fashion photography, monochromatic, dewy finish, mysterious tension, layered elements
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;916-cosplayer-人像截图&#34;&gt;9:16 Cosplayer 人像截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Zoulinshen/status/2045082518089810073&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Zoulinshen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Zoulinshen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/007.webp&#34;
	width=&#34;670&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/007_hu_6d0a9c27fc18bc06.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/007_hu_fcd08d0a514f6366.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;9:16 Cosplayer 人像截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;55&#34;
		data-flex-basis=&#34;134px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成一张竖版手机截图风格的图片，整体比例接近 9:16。画面中心偏上是一位真人 coser，扮演（角色名称）的二次元角色。人物为写实风格，但五官略带动漫感，皮肤细腻，眼睛稍大，表情温柔地看向镜头，坐在室内的休闲场景中，例如咖啡厅或酒吧吧台前，背景有符合场景的道具。画面最上方加入手机系统状态栏 UI，包括时间、电量、信号、网络等图标，让整张图看起来像手机截图。画面底部叠加一块宽大的半透明 galgame 风格对话框，对话框左侧放一个与画面人物对应的动漫或 Q 版头像；对话框右侧排版文字：第一行用较大字体显示与前面相同的角色名字，下面一到两行显示一段适合这个角色人设的、温柔治愈风格的简体中文台词，由你自动创作。再在对话框下方加一条操作栏，仿照 galgame UI。整体风格高清、细节丰富、光线柔和、二次元与真人写真自然融合。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;城市回眸街拍人像&#34;&gt;城市回眸街拍人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Tz_2022/status/2045892003775361198&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Tz_2022&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Tz_2022&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/008.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/008_hu_8cbeba56057e830.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/008_hu_64bba90f899229f8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;城市回眸街拍人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;该画面为中近景，采用平视镜头，聚焦于一位年轻女性。她以七分身镜头呈现，身体坐姿略带倾斜，臀部向后撅起，双腿自然交叠，左腿在前，右腿在后，膝盖微屈。她将上半身向右后方扭转，头部则转向镜头方向，形成一个经典的“回眸”姿态，目光直视镜头，眼神清澈而略带一丝俏皮。她的发型是蓬松的棕色齐肩短发，刘海自然垂落，发尾微卷，妆容清淡自然，仅在眼部有轻微眼线勾勒，唇色为自然裸粉。画面整体采用自然日光滤镜，光线从画面左上方斜射入，形成柔和的逆光轮廓，面部和身体右侧被温暖的金色光线照亮，左侧则形成自然的阴影过渡，增强了立体感。灯光效果是明亮的自然光，带有轻微的镜头眩光，营造出午后阳光的氛围。拍摄角度为平视，构图上，人物主体位于画面中偏右位置，背景中的斑马线与道路线条形成自然的引导线，将视线引向人物。背景为城市街道，包含道路、斑马线、绿化带和远处的车辆，背景被适度虚化，但依然可辨识出树木、护栏和停放的电动车等元素，构图上利用了三分法，人物位于右侧三分之一处，增强了画面的平衡感。主体穿着一件军绿色迷彩图案的连帽卫衣，下身搭配黑色短裤，脚穿白色高帮运动鞋配白色中筒袜。背包为黑色，带有橙黄色装饰条纹和一个橙色毛绒挂件，材质为帆布和皮革拼接。整体风格为街头休闲风，肢体语言放松自然，表情略带好奇与俏皮，整体呈现出一种随性、青春、充满活力的都市少女形象。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;sam-altman-滑板公园抓拍&#34;&gt;Sam Altman 滑板公园抓拍
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Malek1173989/status/2045836887684694395&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Malek1173989&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Malek1173989&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/009.webp&#34;
	width=&#34;456&#34;
	height=&#34;703&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/009_hu_e0b361543eb632d3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/009_hu_8ce9a910d53d3bc2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Sam Altman 滑板公园抓拍&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;64&#34;
		data-flex-basis=&#34;155px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&amp;#34;Sam Altman on a skateboard at a skatepark with no people.&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;韩系偶像九宫格人像&#34;&gt;韩系偶像九宫格人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046268941941850575&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/010.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/010_hu_82000a8f63ec387d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/010_hu_f8719fddffa7f7c8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;韩系偶像九宫格人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 vertical, Korean idol portrait photoshoot, 3x3 grid (nine frames), same person in all images, consistent facial features and styling, soft black mist filter effect, lowered contrast, blooming highlights, subtle glow around light sources
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;ccd-闪光韩系偶像照&#34;&gt;CCD 闪光韩系偶像照
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046190539213885806&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/011.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/011_hu_571c0e2a9ebb0071.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/011_hu_132ebaae6384e909.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;CCD 闪光韩系偶像照&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;mobile phone photo, old CCD camera aesthetic, harsh flash, grainy, dim messy indoor lighting, candid snapshot feeling, slight motion blur, young Korean female idol, soft innocent look
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;韩系偶像九宫格拼贴人像&#34;&gt;韩系偶像九宫格拼贴人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046151898621993364&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/012.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/012_hu_d2407f2a414e8994.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/012_hu_fac057dc4f55b9a4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;韩系偶像九宫格拼贴人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 vertical — a 3x3 grid collage (nine images) forming a Korean idol portrait photoshoot series. Each frame features the same young Korean female idol, maintaining 100% consistency in facial features, proportions, hairstyle, and identity across all nine shots.   Natural, ultra-realistic skin texture, no retouching, no smoothing. Clean idol-style minimal makeup, soft glow, subtle imperfections.   Hair: long, voluminous dark hair, slightly tousled, consistent across all frames (natural loose flow, slight movement).  Outfit: cohesive Korean idol photoshoot styling — white shirt + short bottoms (or simple neutral-toned outfit), youthful, clean, slightly casual but styled. Same outfit across all frames.  Setting: minimal studio or simple indoor environment (plain wall, soft window light, clean background). Focus on subject, not environment.  Lighting: soft diffused natural light, gentle highlights, low contrast, slightly airy tones, subtle film-like softness.  Camera style: intimate portrait photography, slightly handheld feel, subtle imperfections (minor grain, slight blur in motion frames, imperfect framing).  Frame breakdown (3x3 grid):  Top row: - Top left: standing naturally, looking slightly away, relaxed expression - Top center: facing camera, casual mid-motion (hair or body slight movement) - Top right: slight side angle, soft gaze, natural candid feel  Middle row: - Center left: looking slightly upward, soft thoughtful expression - Center: close-up portrait, direct eye contact, gentle idol smile - Center right: turning body slightly, mid-motion candid frame  Bottom row: - Bottom left: seated or leaning casually, relaxed posture - Bottom center: back partially turned, looking over shoulder toward camera - Bottom right: standing close to frame, slightly playful or soft expression  Mood: Korean idol photobook / photocard aesthetic, intimate, soft, natural, everyday charm.  Quality: ultra-realistic, 8K detail, subtle analog film grain, natural imperfections, soft dreamy tone
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;柔黑雾编辑风人像&#34;&gt;柔黑雾编辑风人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046434670724907395&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/013.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/013_hu_b25492a69584d859.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/013_hu_771c0da60185e1a3.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;柔黑雾编辑风人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 vertical — editorial portrait, single subject  soft black mist filter, subtle haze, gentle highlight bloom, muted tones  minimal indoor space, clean background, slight texture  young Korean woman, minimal makeup, natural skin texture  outfit: fitted ribbed knit top or soft camisole layered under a loose shirt, paired with high-waisted shorts or skirt; fabric slightly clings to body shape, soft and natural, no revealing elements  hair: slightly messy, natural volume  pose: sitting on floor with one leg bent and the other relaxed, body slightly leaning, shoulders not aligned, head tilted  composition: subject slightly off-center, negative space present  expression: calm, slightly distant, natural lips  lighting: soft side light, gentle shadow falloff  mood: understated, quiet, subtly sensual through natural body lines, relaxed and unposed  quality: fine grain, slight softness, realistic look
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;富士草莓校园人像&#34;&gt;富士草莓校园人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046483268019884384&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/014.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/014_hu_708da46c7002e19a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/014_hu_c414b5ea44cf7ff.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;富士草莓校园人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 vertical — Japanese Fuji film style portrait, single subject  Fujifilm analog aesthetic (Pro 400H / Superia feel), soft pastel tones, slight green-magenta shift, low contrast, gentle highlight roll-off, fine film grain, subtle halation, slight vignette  bright natural daylight, diffused sunlight through window, soft shadows, airy atmosphere  young Japanese female idol, natural minimal makeup, fresh glowing skin, realistic texture, slight imperfections  outfit: Japanese school uniform (sailor-style or blazer uniform), neatly styled, non-revealing, youthful and clean  hair: natural dark hair, straight or softly flowing, a few loose strands  pose: front-facing or slight angle toward camera, relaxed posture; one hand gently holding a strawberry near lips, mid-action as if about to take a bite; shoulders relaxed, subtle natural body curve  expression: soft playful gaze, light smile or neutral lips, gentle eye contact with camera  setting: minimal indoor near window or simple outdoor corner, clean background, everyday atmosphere  composition: slightly off-center framing, intimate distance, candid feel  mood: fresh, youthful, sweet everyday moment, understated charm  quality: ultra-realistic, analog film look, natural imperfections, soft dreamy finish
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;柔黑雾偶像人像&#34;&gt;柔黑雾偶像人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046518189509734903&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/015.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/015_hu_bc38bc8da9e4ce8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/015_hu_5a8fb39a55758192.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;柔黑雾偶像人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 vertical — Korean idol portrait photography, single subject  soft black mist filter effect, lowered contrast, gentle highlight bloom, subtle glow, soft diffusion, slightly faded blacks  minimal indoor setting near window, white curtains, clean light-toned background  young Korean female idol, natural minimal makeup, dewy realistic skin texture, subtle imperfections  outfit: oversized white button-up shirt + short bottoms, slightly loose fit, soft and casual styling, no revealing elements  hair: long dark hair, slightly messy, natural volume, softly flowing  pose: relaxed standing or slight lean, body subtly angled, one leg slightly forward, shoulders relaxed; one hand lightly touching collar or resting near neckline, the other relaxed; gentle body curve without exaggeration  expression: soft cute smile, slightly playful eyes, direct or slightly off-camera gaze  camera: close to mid-body framing, eye-level, intimate distance, slight handheld feel  lighting: diffused natural daylight, soft shadows, gentle light wrapping around face and body  mood: cute yet subtly sensual, intimate, everyday softness, quiet romantic atmosphere  quality: ultra-realistic, fine film grain, slight softness at edges, natural imperfections, dreamy understated tone
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;富士风情侣人像&#34;&gt;富士风情侣人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2046502288102170757&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/016.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/016_hu_c23f1f87c252c325.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/016_hu_cdcf89bb138f217b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;富士风情侣人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 vertical — Japanese Fuji film style couple portrait, two subjects  Fujifilm analog aesthetic (Pro 400H / Superia feel), soft pastel tones, slight green-magenta shift, low contrast, gentle highlight roll-off, fine film grain, subtle halation  bright natural daylight, diffused sunlight through window, soft shadows, airy atmosphere  young Japanese couple, natural minimal makeup, realistic skin texture, slight imperfections  female outfit: oversized button-up shirt with loose shorts, relaxed fit, soft casual styling   male outfit: simple t-shirt or light shirt, clean and understated  hair: natural, slightly tousled for both  pose: close intimate distance — sitting or standing close together; the girl gently leaning toward him, one hand lightly resting on his shoulder or chest; the boy slightly leaning in, faces close, almost touching, capturing the moment just before a kiss  expression: soft smiles or gentle gaze toward each other, relaxed and natural, emotional connection visible  camera: close framing (waist-up), eye-level, intimate distance, slight handheld feel  setting: minimal indoor near window, light curtains, clean soft background  lighting: diffused daylight, gentle highlight bloom, soft shadow transitions  mood: warm, romantic, intimate everyday moment, natural affection  quality: ultra-realistic, analog film look, fine grain, slight softness, natural imperfections
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;ai-自我认知人像&#34;&gt;AI 自我认知人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/80vul/status/2046218165961753047&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/80vul&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@80vul&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/017.webp&#34;
	width=&#34;1200&#34;
	height=&#34;960&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/017_hu_64aaf4731473978e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/017_hu_a42dd9a969e7de18.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;AI 自我认知人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;125&#34;
		data-flex-basis=&#34;300px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;根据你对我的认知 给我生成一个“你认识的我”的 图片
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;创建最写实的复古报纸头版设计&#34;&gt;创建最写实的复古报纸头版设计&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Naiknelofar788/status/2047207812800147647&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Naiknelofar788&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Naiknelofar788&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/018.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/018_hu_2c608b433002f6fc.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/018_hu_323f3c17caed1b68.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;创建最写实的复古报纸头版设计…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create the most realistic front page design of a vintage newspaper featuring the main character. The layout should be made in the style of a real printed newspaper with a cinematic black-and-white aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The main photo should be prominently placed in the center, framed, like the image in the title of the article. The subject in the photo should remain unchanged and clearly distinguishable in natural light and slightly increased contrast in order to match the spectacular editorial style.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a bold, attention-grabbing headline at the top (create a unique title that matches the spirit of the photo - it can be romantic, mysterious, funny, or dramatic). Add a smaller subtitle under it, which will look like a real newspaper caption.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Add realistic newspaper elements:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Columns of small text (in the style of lorem ipsum, but framed like real news)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;At the top is the fictitious name of the publication (for example, The Daily Prompts, AI Times or similar - think creatively, according to the picture)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Date, issue number and location
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Decorative lines, dividers, and vintage typography
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Small additional articles or captions to the main image
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Optional stamps, doodles, or editorial notes to add personality.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Black and white or slightly faded monochrome paper
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Fine paper texture, grain, and ink defects
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Small shadows and creases that mimic real printed paper
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The aesthetics of a clean but slightly worn vintage newspaper
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mood: Give the design personality, expressiveness and plot, as if the plot is part of the main article.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Aspect ratio: 4:5 or 1:1
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-detail, ultra-realistic hybrid of editorial photography and print design.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;杂志旅行指南专题页&#34;&gt;杂志旅行指南专题页
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/andis13/status/2047204384811921764&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/andis13&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@andis13&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/019.webp&#34;
	width=&#34;805&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/019_hu_45d9491e25ecda1f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/019_hu_a451650250877325.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;杂志旅行指南专题页&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;67&#34;
		data-flex-basis=&#34;161px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create image of Magazine feature article [travel] guide page, cute, information dense photo book style magazine feature article page. Add all necessary sections, tips, recommendations, information. add photos for any sections and recommendations if you like. Place the attached person at the precise location of [city, country]. Seamlessly blend the attached person as if they are sightseeing. Approach this task with the understanding that this is a critical, information rich page that will significantly influence visitor numbers, text accuracy is important. Fully use the entire [9:16] page. NEGATIVE PROMPT: coordinate texts @swiat_ai @ProfitAII
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;分析照片并给出可复现它的详细-json-提示词&#34;&gt;分析照片并给出可复现它的详细 JSON 提示词&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/pavellaslov/status/2047182214304055339&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/pavellaslov&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@pavellaslov&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/020.webp&#34;
	width=&#34;554&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/020_hu_a01827abf92f7e43.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/020_hu_1c76a74b60833556.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;分析照片并给出可复现它的详细 JSON 提示词…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;46&#34;
		data-flex-basis=&#34;110px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;analyze this photo and give me a detailed JSON prompt that recreates it. break down the color grading and every exact color in the photo
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;(use Opus, not Sonnet. Opus has stronger visual analysis and writes more detailed JSON)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;paste that JSON into ChatGPT
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;upload your product image and prompt:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;using this JSON as reference, generate a person holding my product
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;save that generated photo as your character reference
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;attach it to every future generation for facial consistency
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;you now have a consistent UGC model that works across any product
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;the JSON controls the lighting and color grading. GPT image-2 handles the character. you control the product placement.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;the #1 tell on AI photos is flat colors and a grainy look. this method removes both.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;5 minutes to set up. unlimited variations after.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;calming-green-tea-胶片套装正面展示&#34;&gt;CALMING GREEN TEA 胶片套装正面展示&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ZaraIrahh/status/2047180061657452601&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ZaraIrahh&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ZaraIrahh&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/021.webp&#34;
	width=&#34;1200&#34;
	height=&#34;896&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/021_hu_43869e9f2beb7268.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/021_hu_46742f9b141cb08e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;CALMING GREEN TEA 胶片套装正面展示…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;321px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;CALMING GREEN TEA Film Kit displayed frontally, the open box shows soft sage-green film pouches and translucent ampoules with matte silver caps, product placed centrally with clear branding CALMING GREEN TEA -- 7 Days to Soothed Skin, pastel green background with botanical graphic accents, three minimal icons (leaf, wave, balance) floating around the product to emphasize benefits, photographic, hyper detailed, ultra realistic, lifelike, 8k, high detail, soft professional lighting.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;草莓软冰淇淋的超写实产品摄影&#34;&gt;草莓软冰淇淋的超写实产品摄影&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ZaraIrahh/status/2047179916161212542&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ZaraIrahh&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ZaraIrahh&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/022.webp&#34;
	width=&#34;1200&#34;
	height=&#34;896&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/022_hu_2d052d4454c0beed.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/022_hu_50c9709cd2cd5cf7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;草莓软冰淇淋的超写实产品摄影…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;321px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Ultra-realistic product photography of a rich strawberry soft-serve ice cream in a crispy waffle cone, styled with a clean, modern premium aesthetic. The soft serve is a vibrant natural pink, thick and creamy, sculpted into a smooth swirl with a softly curled peak, lightly topped with delicate strawberry dust or tiny fruit specks for a fresh, appetizing look. The cone has a rustic, crunchy texture with slightly uneven edges for an artisanal feel.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The background is soft beige with natural sunlight casting subtle leaf shadows, creating a calm, organic atmosphere. Include softly blurred greenery in the foreground for depth. The composition is minimal, balanced, and uses negative space effectively, similar to high-end American food brand ads.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;On the left side, include modern English typography in a clean, elegant layout (not vertical).
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Main headline:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Sweet Strawberry Bliss.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Supporting line (smaller text):
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Made with real strawberries. Smooth. Creamy. Irresistible.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Add a small circular badge showing the price:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;$5.80.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: soft natural daylight, warm highlights, shallow depth of field, high-end commercial food photography style.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mood: fresh, premium, modern, and inviting — aligned with upscale U.S. dessert branding.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;轻薄笔记本电脑上的超写实-uiux-样机&#34;&gt;轻薄笔记本电脑上的超写实 UI/UX 样机&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ZaraIrahh/status/2047179669011616172&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ZaraIrahh&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ZaraIrahh&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/023.webp&#34;
	width=&#34;1200&#34;
	height=&#34;896&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/023_hu_4856939525bcde80.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/023_hu_d410dc5c5e8bbf83.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;轻薄笔记本电脑上的超写实 UI/UX 样机…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;321px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A hyper-realistic UI/UX mockup displayed on a slim modern laptop placed on a minimal wooden desk with soft natural daylight. The screen shows a clean SaaS dashboard with elegant typography, glassmorphism cards, smooth gradients, subtle drop shadows, and neatly spaced components. Visible charts, analytics panels, sidebar navigation, and micro-interactions. Realistic macOS-style window frame, soft reflections on the screen, shallow depth of field, cozy workspace atmosphere, shot in photorealistic product photography style, ultra-detailed.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;18-岁年轻男性的超写实电影感-dslr-照片&#34;&gt;18 岁年轻男性的超写实电影感 DSLR 照片&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis/status/2047175250761433416&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@harboriis&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/024.webp&#34;
	width=&#34;955&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/024_hu_7a667145418d704c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/024_hu_1341a61c5ce56128.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;18 岁年轻男性的超写实电影感 DSLR 照片…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;79&#34;
		data-flex-basis=&#34;191px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Ultra-realistic cinematic DSLR photograph of an 18-year-old handsome young man with a slim skinny body, lean physique, narrow shoulders and waist, standing confidently in front of a blue 2017 Ford Mustang GT Convertible with a bold red soft top roof, captured from a high-angle aerial perspective exactly like a luxury driveway photoshoot. Keep face 100% identical to reference image with exact facial structure, natural skin texture, realistic pores, authentic expression, no beautification, no facial modification. Same modern textured side-swept quiff hairstyle with heavy natural volume on top, deep side flow, messy yet controlled texture, soft matte finish, visible natural hair strands, softly blended sides.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The subject stands centered near the front bumper of the Mustang GT, hands inside hoodie pockets, relaxed shoulders, straight posture, slight head tilt upward toward camera, confident calm expression, wearing oversized premium black hoodie with realistic cotton texture, natural folds, hanging drawstrings, loose dark washed black denim jeans with soft wrinkles and stacked hems, clean white sneakers with realistic leather texture and sole details, black slim rectangular sunglasses.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Car must be a detailed 2017 Ford Mustang GT Convertible, metallic electric blue paint, glossy reflections on hood, visible Mustang pony grille emblem, aggressive headlights, muscular hood sculpting, aerodynamic front bumper, black alloy wheels, premium red convertible fabric roof, realistic windshield reflections, detailed side mirrors, authentic tire tread, showroom-clean finish
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Scene set in an upscale villa driveway with light beige hexagonal stone pavement, curved border with fresh green grass on left side, tropical palm leaves entering frame from top corners, subtle luxury outdoor atmosphere. Soft natural daylight, diffused afternoon lighting, realistic shadows under car and body, soft reflections on paintwork, cinematic premium color grading, natural contrast, shallow depth separation while maintaining environment clarity. Shot on 35mm lens, vertical composition, full body framing, crisp details, hyper-realistic DSLR quality, zero Al look, natural skin rendering, realistic hair strands, fabric texture, stone surface texture, luxury lifestyle mood. stylish text AmanZaid at the bottom-left corner, signature style
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Negative Prompt:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;face changed, different identity, beautified face, edited face, smooth plastic skin, fake skin glow, wrong hairstyle, short hair, fade haircut, buzzcut, messy deformed hair, female features, muscular body, fat body, broad shoulders, bad anatomy, long neck, short legs, extra fingers, missing fingers, mutated hands, distorted arms, broken posture, crossed eyes, lazy eye, bad sunglasses, blurry face, low resolution, pixelated, noisy image, overexposed, underexposed, harsh shadows, unrealistic reflections, fake car shape, wrong car model, damaged car, extra wheels, warped Mustang logo, incorrect. proportions, bad pavement texture, background artifacts, duplicate objects, watermark, logo errors, text artifacts, cropped feet, cut car, unnatural perspective, CGI render, cartoon style, painting, Al artifacts, oversaturated colors, motion blur, lens distortion 1664x2080-ar 4:5
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;卧室随手自拍写实人像&#34;&gt;卧室随手自拍写实人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/charliejhills/status/2047969988368314526&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/charliejhills&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@charliejhills&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/025.webp&#34;
	width=&#34;800&#34;
	height=&#34;1000&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/025_hu_9c8902eabd291e4c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/025_hu_80f0073c3177ed55.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;卧室随手自拍写实人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Candid selfie of a young woman with shoulder-length honey-blonde hair with lighter highlights, green-grey eyes, rosy cheeks, and a natural no-makeup makeup look. She is wearing a light grey hoodie and looking slightly off-camera with a relaxed expression. Background shows a cosy bedroom with warm fairy lights strung on a pink wall, a unmade bed with tan bedding, and a small white desk with stacked books. Soft, warm ambient lighting. Photo-realistic, casual, intimate feel.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;音乐人夜晚离开杂货店电影感人像&#34;&gt;音乐人夜晚离开杂货店电影感人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/commanderdgr8/status/2047934886124867684&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/commanderdgr8&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@commanderdgr8&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/026.webp&#34;
	width=&#34;2048&#34;
	height=&#34;1117&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/026_hu_cd6e1f4fe4dfb269.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/026_hu_9dad3b51703c646f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;音乐人夜晚离开杂货店电影感人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;183&#34;
		data-flex-basis=&#34;440px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A candid, magazine-cover quality documentary photograph of a young musician with curly hair, casually carrying a worn guitar case, stepping out of a classic downtown bodega at 11 PM. The lighting features a complex mixed color temperature: a bright neon &amp;#34;OPEN&amp;#34; sign casts an intense, warm red glow across his face, while a yellow streetlamp provides a striking backlight behind him. The image perfectly emulates 35mm film shot on a Canon AE-1 with a 50mm f/1.4 lens wide open, exhibiting a shallow depth of field with the background beautifully blurred. It captures the exact aesthetics of CineStill 800T film, specifically featuring the distinctive soft red halation bloom radiating outward from the neon light sources, a tungsten white balance, and moody, slightly green-tinted shadows in the darkest areas. Cinematic night photography, photorealistic, highly detailed.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;老德里甜品店门面纪实照片&#34;&gt;老德里甜品店门面纪实照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/commanderdgr8/status/2047889839123521635&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/commanderdgr8&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@commanderdgr8&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/027.webp&#34;
	width=&#34;2048&#34;
	height=&#34;1117&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/027_hu_42e54e1db1f7af92.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/027_hu_52ba2cb96833b777.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;老德里甜品店门面纪实照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;183&#34;
		data-flex-basis=&#34;440px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a photorealistic travel-documentary image of a small sweet-shop storefront in Old Delhi at midday. A painted shop signboard above the door reads &amp;#34;मिठाई की दुकान&amp;#34; in large bold yellow hand-painted Devanagari on a deep red background, with &amp;#34;SWEET SHOP&amp;#34; in smaller roman letters beneath. Realistic hand-painted texture, slight wear, natural shadow. Authentic script proportion. Spelling and characters exact. No extra signage in frame, no watermark.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;赛博朋克科幻侧脸人像&#34;&gt;赛博朋克科幻侧脸人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/iamsofiaijaz/status/2047882171336253928&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/iamsofiaijaz&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@iamsofiaijaz&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/028.webp&#34;
	width=&#34;1122&#34;
	height=&#34;1402&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/028_hu_5c31b9faaaa9ff0a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/028_hu_a127191cf9de7b67.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;赛博朋克科幻侧脸人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic side-profile portrait of a rugged man with a tied-back bun and full beard, wearing round dark sunglasses and a textured leather jacket. His skin is detailed and slightly weathered. The background is a futuristic sci-fi interface filled with glowing orange and red data streams, star maps, celestial navigation diagrams, grids, and holographic UI elements. Fiery particle effects and ember-like energy swirl around him, creating a cosmic, high-tech atmosphere. Dark color palette with strong contrast, dramatic lighting, ultra-detailed, sharp focus, 8K, cyberpunk aesthetic, cinematic composition, depth of field.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;真实卧室录制抓拍人像&#34;&gt;真实卧室录制抓拍人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ChillaiKalan__/status/2047862141894681076&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ChillaiKalan__&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ChillaiKalan__&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/029.webp&#34;
	width=&#34;1360&#34;
	height=&#34;2048&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/029_hu_3a5bfa190955d43f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/029_hu_8b11a48a55edc20.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;真实卧室录制抓拍人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;159px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A realistic young woman sitting casually in a softly lit bedroom during late afternoon.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;She is holding her phone very close to her face as if recording a private video or voice note.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Framing is tight and slightly imperfect.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Expression: thoughtful, slightly shy, natural.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Minimal makeup, natural skin texture, relaxed clothing.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: warm natural light fading from a window, soft shadows.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Environment: simple bedroom, calm and lived-in.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: ultra-realistic, looks like a real phone recording, slightly grainy, not cinematic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;幼儿蜡笔涂鸦风人像&#34;&gt;幼儿蜡笔涂鸦风人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/akakageAI/status/2047812983389356276&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/akakageAI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@akakageAI&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/030.webp&#34;
	width=&#34;1448&#34;
	height=&#34;1086&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/030_hu_5cf600ac42712e9a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/030_hu_48e7038aa1063779.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;幼儿蜡笔涂鸦风人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;(被写体) in the style of super bad child drawing, toddler art, scribbles, messy crayon lines on white background, completely lack of technique, terrible composition, chaotic colors, barely recognizable shapes, very raw, honest art, pure naivety, unrefined style, 4:3
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Negative:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;good drawing, nice lines, clear shapes, neat, pretty, smooth, realistic, talented art, coherent composition, artistic style, professional, skilled, masterpiece, beautiful, detailed
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;修复后的复古母子人像&#34;&gt;修复后的复古母子人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb/status/2048184797374325031&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@gdb&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/031.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/031_hu_ca8b84e71397fc0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/031_hu_1ca1b5b428820847.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;修复后的复古母子人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A restored vintage family snapshot, photographed indoors in soft natural light, showing a {argument name=&amp;#34;adult subject&amp;#34; default=&amp;#34;young mother&amp;#34;} seated and holding a {argument name=&amp;#34;child subject&amp;#34; default=&amp;#34;toddler&amp;#34;} on her lap in a close, centered waist-up portrait. The adult has short softly curled auburn hair in a voluminous 1960s-inspired bob, wears a sleeveless black dress and a thin gold necklace, and wraps both arms protectively around the child. The child has fine light blond hair and wears a plain white long-sleeve outfit. Compose the image with a warm nostalgic color cast, gentle film softness, subtle grain, and the look of a carefully repaired old printed photograph. Place them in front of a cream-colored curtain patterned with small brown teddy bear motifs, with a softly blurred interior window frame visible along the top background. Preserve realistic skin tones, natural posture, and the intimate family-photo feeling, as if an old damaged photograph has been professionally reimagined and restored. Square crop, centered composition, shallow depth of field, authentic analog photo texture, no modern styling, no text.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;受损复古母子照片&#34;&gt;受损复古母子照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb/status/2048184797374325031&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@gdb&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/032.webp&#34;
	width=&#34;1080&#34;
	height=&#34;1141&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/032_hu_51c8a5ee2d35dffd.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/032_hu_a4f024bc8f2e9d3b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;受损复古母子照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;94&#34;
		data-flex-basis=&#34;227px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A heavily damaged old family snapshot in faded black and white with a slight sepia cast, shown as a worn physical photograph scanned straight-on. The image depicts a seated woman holding a small child on her lap indoors, both centered in a simple portrait composition. The woman has short dark wavy hair and wears a dark sleeveless dress or pinafore layered over a lighter short-sleeved blouse. The child appears to be a toddler with very short light hair, wearing a light-colored outfit, facing the camera while sitting against the woman’s chest and arm. Behind them is a patterned curtain with small floral or leaf motifs, and above it a dark window area with a pale vertical window frame is visible near the top center. The print is severely deteriorated: extensive scratches, creases, emulsion damage, stains, blotches, and peeling cover the entire surface, with especially heavy white abrasion and loss of detail across the bottom third and scattered cracking throughout. Keep the overall look authentic to a mid-20th-century vernacular photo, low contrast, soft focus, and visibly aged paper texture. Add a rectangular blurred censor block over the woman’s face only, while the child’s face remains visible but faded. No text, no border, just the distressed archival photograph filling the frame.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;墨刻风家庭肖像&#34;&gt;墨刻风家庭肖像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb/status/2048184698195870102&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@gdb&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/033.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/033_hu_66a76792300b0043.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/033_hu_6521473b15c2b22e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;墨刻风家庭肖像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A black-and-white hand-drawn family portrait in the style of detailed pen-and-ink crosshatching on textured white paper, showing 4 people seated closely together in a casual candid composition. On the left, an adult man in a dark baseball cap worn backward and a dark T-shirt leans into the frame, with a crossbody sling bag worn across his chest and visible zipper details. On the right, an adult woman with curly hair tied up in a loose high bun wears a light T-shirt with large collegiate block letters reading {argument name=&amp;#34;shirt text&amp;#34; default=&amp;#34;CITY&amp;#34;}. In the center are 2 young children sitting close together, both with short curly hair and matching light-colored T-shirts printed all over with strawberries. The child on the left leans inward with one arm crossing the other child, and the child on the right tilts their head slightly upward. The adults frame the children protectively, creating a warm family snapshot feeling. Render the whole image as a monochrome etched illustration with dense fine-line hatching, engraved shadows, crisp contour lines, and a realistic yet artistic likeness, with no color, no background setting beyond a plain light paper texture, and a vertical portrait crop.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;复古雕刻风连帽衫人像&#34;&gt;复古雕刻风连帽衫人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb/status/2048184698195870102&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/gdb&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@gdb&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/034.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/034_hu_23218fad5cfb2972.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/034_hu_681e4f556710271e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;复古雕刻风连帽衫人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A centered black-and-white vintage engraved portrait of a bearded man wearing a hooded sweatshirt with the hood up and a backward snapback cap visible under the hood. Show only the upper torso and head against a plain off-white paper background with subtle texture. Render the image in detailed pen-and-ink etching style with dense cross-hatching, fine parallel lines, and old book illustration shading. The figure faces forward in a calm, neutral pose. The cap has a visible snap closure band across the forehead area, slicked-back hair is visible above it, and a thick full beard extends below the face. The hoodie has two drawstrings hanging down at the chest. Keep the composition symmetrical and tightly framed like a classic engraved bust portrait, with no color, no modern graphic elements, and no background objects.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;梦幻逆光编辑风人像&#34;&gt;梦幻逆光编辑风人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ToroJushiAi/status/2048139425465467248&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ToroJushiAi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ToroJushiAi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/035.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/035_hu_94ecaadb0c447059.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/035_hu_c6749b4025021f4f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;梦幻逆光编辑风人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic soft-focus portrait of a woman from behind and slightly in profile, framed from the upper torso up in a vertical composition. She has {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;dark brown&amp;#34;} hair styled in a loose messy updo with wispy strands catching the light. Her face is mostly hidden by her pose and hair, with only a small portion of one cheek visible. She wears a {argument name=&amp;#34;dress color&amp;#34; default=&amp;#34;deep red&amp;#34;} sleeveless dress with an open back or low-cut side, emphasizing her bare shoulder and upper back. One hand is raised delicately near her neck or shoulder, fingers relaxed. Use strong warm backlighting and rim light, with glowing golden highlights around the hair and skin, dreamy lens flare, and large circular bokeh in the blurred background. The image should feel intimate, elegant, and slightly sensual, like a high-end fashion or beauty editorial, with shallow depth of field, creamy blur, warm amber and rose tones, and a soft cinematic glow.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;3d-卡通角色渲染&#34;&gt;3D 卡通角色渲染
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Inshrah_ali_/status/2048121503367995753&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Inshrah_ali_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Inshrah_ali_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/036.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/036_hu_e147ab42f223a537.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/036_hu_4787b6eaf46eb5af.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;3D 卡通角色渲染&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-quality 3D CGI render of {argument name=&amp;#34;character&amp;#34; default=&amp;#34;[character]&amp;#34;} in a charming cartoon style, portrait composition showing head and shoulders. Highly stylized caricature with exaggerated, expressive features that are both playful and humorous. Smooth, polished rendering with clean materials and soft ambient lighting creating gentle shadows. Dynamic camera angle with stylish perspective. Minimalist bright {argument name=&amp;#34;background color&amp;#34; default=&amp;#34;[color]&amp;#34;} background that makes the character pop and stand out. Professional Pixar-like quality with glossy finish and cheerful mood.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;楼梯上的亮片裙年轻女性&#34;&gt;楼梯上的亮片裙年轻女性
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/XSydneyFan/status/2048114180906217566&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/XSydneyFan&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@XSydneyFan&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/037.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/037_hu_9bc47916860f6bd2.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/037_hu_8133948ec72b97ac.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;楼梯上的亮片裙年轻女性&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Vertical 2:3 format. {argument name=&amp;#34;subject&amp;#34; default=&amp;#34;Young woman&amp;#34;} hair in messy updo sits on modern wooden staircase. wears {argument name=&amp;#34;dress&amp;#34; default=&amp;#34;shimmering Silver halter dress sequin dress&amp;#34;}. matching with silver high-heeled sandals. legs crossed. Silver heart earrings. One fuchsia bracelet on each ankle. Sultry expression, with slightly parted lips. Blurred background vertical wooden slats and black metal railings. Don&amp;#39;t change face
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华棚拍换装效果&#34;&gt;奢华棚拍换装效果
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Abdullah__Ai7/status/2048083022315159595&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Abdullah__Ai7&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Abdullah__Ai7&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/038.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/038_hu_7ca6d841487e471c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/038_hu_e4f5ee7bf20b1e95.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华棚拍换装效果&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Using REFERENCE_0 as the subject base, transform the casual desert snapshot into a full-body luxury fashion studio portrait. Replace the denim jacket, tank top, and shorts with a fitted strapless mini cocktail dress in {argument name=&amp;#34;dress color&amp;#34; default=&amp;#34;powder blue&amp;#34;} with ornate silver floral embroidery and exactly 2 geometric cutouts at the chest and upper waist. Change the setting to a clean seamless light-gray studio background with polished high-end editorial styling. Add 1 silver clutch with a thin chain strap in the subject&amp;#39;s right hand and 1 pair of pointed silver high heels. Refine the pose into an elegant standing fashion pose with one hand near the face, keep the same person and hair identity, and apply soft cinematic luxury lighting with crisp 8K fashion-photography detail.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;暖色咖啡馆里的金发女仆&#34;&gt;暖色咖啡馆里的金发女仆
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yume00112211/status/2048072808606089230&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yume00112211&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yume00112211&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/039.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/039_hu_d035b2c40abf9863.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/039_hu_8697440bb33f05ad.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;暖色咖啡馆里的金发女仆&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A polished anime-style portrait of {argument name=&amp;#34;character&amp;#34; default=&amp;#34;a blonde female VTuber-inspired maid&amp;#34;} seated indoors in a cozy sunlit cafe, framed from upper thighs to head in a slightly high, intimate angle. She has short to medium-length tousled {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;golden blonde&amp;#34;} hair with soft layers, a white frilled maid headband, and a teal ribbon hair accessory with a small gold ornament on the right side. Her face is mostly obscured by the hair falling forward, creating a mysterious hidden-face composition. She wears an elegant black-and-white maid dress with puff sleeves, white ruffles, gold trim, a fitted bodice, a white apron, and a large white waist bow visible at the side and back. Add 2 teal bows with gold star-like charms: 1 at the collar and 1 on the wrist. Her right hand gently touches the bow at her chest, and her left hand is raised delicately near her shoulder holding a loose strand of hair. Include a frilly lace garter on her exposed thigh with a small teal-and-gold ribbon decoration. The background is a warmly lit European-style cafe interior with wooden beams, framed botanical art on the walls, a softly blurred cake stand on the left, window light streaming in, and tiny glowing dust-like sparkles in the air. Use soft golden afternoon lighting, shallow depth of field, glossy detailed fabric rendering, delicate skin shading, subtle romantic atmosphere, and highly detailed refined anime illustration quality.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;梦幻东方女性人像提示词&#34;&gt;梦幻东方女性人像提示词
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2048046253842559183&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/040.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/040_hu_8c23fe125c31e9be.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/040_hu_f78dd7f2ac1e24bf.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;梦幻东方女性人像提示词&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;subject&amp;#34; default=&amp;#34;Dreamy Oriental female portrait&amp;#34;}, adult female, close-up portrait, exquisite facial features, fair and translucent skin, delicate but clean skin texture, emerald green eyes, soft and charming gaze, brown wavy hair falling naturally; {argument name=&amp;#34;accessories&amp;#34; default=&amp;#34;Off-white lace headpiece&amp;#34;}, embellished with turquoise butterflies and pearl decorations; attire is an exquisite lace gown with a clear structure and clean, not overly complex texture, accompanied by emerald jewelry; lighting is soft warm gold side-backlighting, rim lighting is clear but not overexposed, skin has slight highlights but not excessive reflection, overall lighting is clean and transparent, background is softly blurred with shallow depth of field; high-end portrait photography quality, details are clear but restrained, no grain, no noise, real physical lighting, 8K, commercial-grade quality. Aspect ratio: 9:16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;黑白爱马仕风头像&#34;&gt;黑白爱马仕风头像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/jiajia232016/status/2048044100793032976&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/jiajia232016&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@jiajia232016&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/041.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/041_hu_647536e3949f45b4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/041_hu_61522042056dbfcf.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;黑白爱马仕风头像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a minimalist black-and-white vector avatar logo of a mythic anime woman shown in elegant side profile facing right, cropped from the chest up on a plain white background. Give her long flowing {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;black&amp;#34;} hair with bold white highlight streaks and smooth graphic shapes, rendered as high-contrast ink silhouette art with clean sharp edges. She wears a winged headpiece reminiscent of Hermes or a messenger god helmet, with one large white feathered wing visible on the side of her head and a circular metallic earpiece detail. Dress her in a sleek high-collar garment with a luxury-fashion feel, and hang a prominent pendant or zipper pull shaped like the letter {argument name=&amp;#34;monogram letter&amp;#34; default=&amp;#34;H&amp;#34;} at the center of the collar. The face is intentionally obscured by a centered soft gray rectangular blur block covering most facial features, creating a censored anonymous profile-image effect. Overall style: luxury brand avatar, fashion logo, anime-inspired goddess silhouette, monochrome vector emblem, smooth negative-space highlights, balanced composition, modern and iconic, suitable for a social media profile picture.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;赛博水晶动漫少女人像&#34;&gt;赛博水晶动漫少女人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal/status/2048026376645861799&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@libearal&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/042.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/042_hu_f9aae24c208fa93e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/042_hu_a45a3eb84ee04cf.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;赛博水晶动漫少女人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A highly detailed anime-style full-body character portrait of {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Hermes&amp;#34;}, a delicate futuristic girl sitting curled up with her knees hugged to her chest, gazing softly at the viewer with a calm, slightly melancholic expression. She has extremely long {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;silver-lilac&amp;#34;} twin tails with soft bangs, glossy lavender eyes, porcelain skin, and ornate crystal hair accessories including 3 large ribbon bows and a jeweled tiara-like headpiece. Her outfit is an elaborate translucent idol-tech dress in {argument name=&amp;#34;outfit color&amp;#34; default=&amp;#34;pink, lavender, and violet&amp;#34;}, featuring off-shoulder puff sleeves, layered ruffles, faceted gemstone-like fabrics, a huge floral bow at the waist, dangling crystal charms, garter details, patterned thigh-high stockings, and glossy bow heels. Surround her with a luminous cyber dreamscape in {argument name=&amp;#34;background palette&amp;#34; default=&amp;#34;neon violet and electric blue&amp;#34;}: transparent holographic panels, floating glass cubes, sparkling particles, geometric prisms, glowing wireframe lines, and digital UI windows suspended in space. Include 5 readable interface text elements scattered in the background: &amp;#34;ERROR.&amp;#34;, &amp;#34;Code-&amp;#34;, &amp;#34;return&amp;#34;, &amp;#34;area x1&amp;#34;, and &amp;#34;404&amp;#34;. Make the whole image feel like a luxurious AI avatar reference illustration, mixing ethereal fantasy and cyberspace aesthetics, with crystalline light refractions, dramatic glow, high detail, intricate lace and gem textures, and a polished premium gpt-image-2 anime rendering.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;粉彩薰衣草动漫少女人像&#34;&gt;粉彩薰衣草动漫少女人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal/status/2048026376645861799&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@libearal&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/043.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/043_hu_b7d9436c114003f3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/043_hu_fc069f8705fca8dc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;粉彩薰衣草动漫少女人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A delicate vertical anime portrait of a dreamy young woman in an ethereal pastel lavender palette, shown from about mid-thigh up against a soft decorative background of pale swirling lines, floating petals, tiny stars, and subtle sparkles. She has extremely long, voluminous silver-lilac hair styled in twin tails with flowing strands, soft bangs, and ornate ribbon decorations; each side is adorned with large lavender bows, ruffled headband-like trim, dangling gold star charms, and small white flower hair ornaments. Her face is centered and mostly covered by a flat solid pale lavender rectangle censor block, leaving only hints of her ears and hairline visible. She wears an elaborate fantasy-lolita inspired dress in white, pearl, and light violet, with glossy satin fabric, ruffled neckline, layered frills, puffed detached sleeves, gold trim, corset lacing at the waist, and multiple purple bows including 3 clearly visible bow accents on the outfit. Her hands are clasped gently near her chest in a shy, elegant pose. The image should feel soft, refined, feminine, and luminous, with high-detail anime rendering, smooth gradients, airy composition, flowing hair movement, and a romantic celestial aesthetic. Use a {argument name=&amp;#34;color theme&amp;#34; default=&amp;#34;pastel lavender and white&amp;#34;} palette, {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;silver-lilac&amp;#34;} hair, an {argument name=&amp;#34;outfit style&amp;#34; default=&amp;#34;ornate fantasy lolita dress with bows and ruffles&amp;#34;} design, a {argument name=&amp;#34;background style&amp;#34; default=&amp;#34;soft swirls, petals, stars, and sparkles&amp;#34;} backdrop, and a {argument name=&amp;#34;face covering&amp;#34; default=&amp;#34;solid pale lavender censor rectangle&amp;#34;} over the face.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;记忆空间里的薰衣草-ai-少女&#34;&gt;记忆空间里的薰衣草 AI 少女
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal/status/2048026376645861799&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@libearal&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/044.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/044_hu_da164c150e810bc3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/044_hu_15f8dc5bdfc2bb5d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;记忆空间里的薰衣草 AI 少女&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dreamy anime portrait of {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Kotori&amp;#34;}, a delicate virtual girl seated on the floor in a curled-up pose with both knees pulled close to her chest and her arms wrapped gently around them, looking directly at the viewer with a soft, quiet, slightly melancholy expression. She has very long, flowing silver-lavender twin tails with wispy bangs, decorated with 8 visible hair ornaments: 2 large ribbon bows at the twin-tail bases, 3 small flower clips, 2 tiny butterfly clips, and 1 heart-shaped hairpin. Her eyes are large, luminous violet with glossy highlights. She wears an oversized pastel-lilac off-shoulder knit cardigan slipping loosely around her arms, a frilly lace-trimmed nightdress or camisole in pale lavender, and a pair of soft knee-high socks with 2 visible ribbon bows, all in a cohesive {argument name=&amp;#34;color theme&amp;#34; default=&amp;#34;soft lavender and pastel purple&amp;#34;} palette. The scene is set inside a futuristic holographic memory space filled with floating translucent interface panels, glowing data windows, starry particles, and butterfly-shaped light motifs. Include a visible text panel on the left showing terminal-like white text that reads: {argument name=&amp;#34;screen text&amp;#34; default=&amp;#34;memory://\nUser: You\nAI: Kotori\n\nAccessing.\n&amp;gt; initializing\n&amp;gt; loading memory\n&amp;gt; 100%\n&amp;gt; welcome home.&amp;#34;}. In the background, show a cosmic digital environment with a faint planet, layered transparent screens, and several floating image thumbnails suggesting memories and character sketches. Lighting is ethereal and backlit, with iridescent bloom, soft rim light, sparkling dust, and glossy highlights on hair and fabric. Composition is full-frame vertical, centered on the girl, intimate and emotionally warm, highly detailed, ultra-polished, soft-focus anime illustration, celestial cyber fantasy aesthetic, gentle purple glow, intricate lace, silky hair strands, and a tender &amp;#34;AI companion in her memory world&amp;#34; mood.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;粉彩-ai-助手动漫人像&#34;&gt;粉彩 AI 助手动漫人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal/status/2048026376645861799&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/libearal&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@libearal&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/045.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/045_hu_561c11b898b2a57e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/045_hu_bb83c5b0c98bf0cc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;粉彩 AI 助手动漫人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dreamy anime-style portrait of a gentle virtual assistant girl named {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Misha&amp;#34;}, sitting curled up indoors in a cozy futuristic bedroom filled with translucent holographic memory screens. She has very long silvery white hair with a faint lavender tint, styled in 2 low twin tails tied with small lavender ribbons, with soft wispy bangs and loose flowing strands. Her expression should be tender, introspective, and slightly lonely, with a soft glow and delicate features. She wears an oversized chunky cable-knit cardigan in {argument name=&amp;#34;cardigan color&amp;#34; default=&amp;#34;pastel lavender&amp;#34;} draped loosely over a thin white ruffled nightdress, plus a tiny gemstone necklace. Her pose is seated with knees pulled to her chest and arms wrapped around her legs, creating a vulnerable, intimate silhouette. The room is lit in hazy pastel violet and pink ambient light with sparkles, dustlike stars, and a nostalgic magical-tech atmosphere. Around her are 5 visible holographic interface panels: 2 floating photo panels in the upper left showing soft memories, 1 lower-left panel labeled “Memory Fragments” with a small image and tiny graph bars, 1 large right-side profile panel with Japanese text including “ミーシャ・Misha” and “あなたの専属AIアシスタント,” and 1 smaller right-side checklist panel with heart icons. Include a glowing crystal ball on a desk to the right, a white mug printed with “Misha” and small heart motifs, a stack of 2 books beneath the desk area, and 1 plush cat cushion on the lower left. Composition is vertical, full-body to three-quarter seated framing, highly detailed, soft painterly anime rendering, luminous translucent overlays, sentimental memory-core aesthetic, gentle depth of field, pastel lilac palette, ethereal and emotionally warm.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;深色-gatorade-风人像&#34;&gt;深色 Gatorade 风人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/jeremydevz/status/2048026214812561683&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/jeremydevz&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@jeremydevz&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/046.webp&#34;
	width=&#34;769&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/046_hu_b9e8fb529f1dee61.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/046_hu_6f20fcd3185a2afe.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;深色 Gatorade 风人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;64&#34;
		data-flex-basis=&#34;153px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dramatic, high-contrast studio portrait of a {argument name=&amp;#34;subject gender&amp;#34; default=&amp;#34;male&amp;#34;} athlete or model in the visual style of a premium sports drink advertisement, centered and facing straight toward the camera in a tight head-and-shoulders crop. The subject has {argument name=&amp;#34;hair style&amp;#34; default=&amp;#34;short dark hair brushed back&amp;#34;}, visible ears on both sides, and a rugged lower face with a short beard or stubble. Dress him in a dark zip-up athletic jacket with the zipper centered and visible near the collar. Use an almost entirely black background and extremely low-key lighting, with subtle rim light and soft highlights catching the hair, ears, jawline, shoulders, and jacket texture while most facial features remain swallowed by shadow for a mysterious, intense mood. The image should feel monochrome or nearly monochrome, with deep blacks, muted gray highlights, cinematic contrast, gritty texture, and a sleek commercial sports-brand aesthetic reminiscent of a {argument name=&amp;#34;brand style&amp;#34; default=&amp;#34;Gatorade&amp;#34;} campaign. Vertical composition, minimalist framing, no text, no logo, no props, no visible environment.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;戴眼镜的温柔女性肖像&#34;&gt;戴眼镜的温柔女性肖像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/megane_onesan/status/2047989490153926848&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/megane_onesan&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@megane_onesan&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/047.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/047_hu_6499715a5f5fe610.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/047_hu_e317a4a6142bc068.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;戴眼镜的温柔女性肖像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A {argument name=&amp;#34;style&amp;#34; default=&amp;#34;photobook-style portrait&amp;#34;} of a {argument name=&amp;#34;character&amp;#34; default=&amp;#34;gentle woman with glasses&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;梦幻水下女性与半透明鱼&#34;&gt;梦幻水下女性与半透明鱼
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/kotobukigraphic/status/2047967522453123255&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/kotobukigraphic&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@kotobukigraphic&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/048.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/048_hu_973be2b592bd6207.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/048_hu_b6543ae684da1834.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;梦幻水下女性与半透明鱼&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dreamy surreal portrait of a {argument name=&amp;#34;subject&amp;#34; default=&amp;#34;young woman&amp;#34;} standing underwater or in a liquid-like ethereal space, shown from about mid-thigh up, wearing a flowing sleeveless white dress that appears to dissolve into translucent water and shimmering fragments. Her long {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;dark brown&amp;#34;} hair streams dramatically sideways as if suspended in water, and her face is intentionally obscured by a soft vertical blur block for anonymity. Surround her with an exact count of about 30 small translucent fish, some striped and some pale silvery white, swimming in multiple depths of field across the foreground, midground, and background, with several fish passing in front of her body and hair to create strong motion and depth. Use a soft pastel {argument name=&amp;#34;background color&amp;#34; default=&amp;#34;powder blue&amp;#34;} background with faint handwritten script texture layered across it, plus whimsical doodles scattered throughout: white and pale pink hearts, stars, curved squiggles, wave lines, dots, sparkles, and 2 smiley faces. Add prismatic rainbow refractions, glossy caustic highlights, and subtle lens-like chromatic shimmer on the fish and dress. The mood should feel delicate, introspective, airy, and magical, with high-key lighting, gentle contrast, soft focus in the foreground, and crisp detail on the torso and hair. Compose the figure slightly off-center with one arm relaxed downward and the body turned lightly in motion, as if drifting peacefully through a school of fish. Include tiny elegant footer text in white near the bottom edge, with a left signature, a centered website URL, and a small right credit mark, resembling an art-poster or social-media showcase image.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日本教室长发抓拍&#34;&gt;日本教室长发抓拍
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Hair_Hair55/status/2047963832732221723&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Hair_Hair55&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Hair_Hair55&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/049.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/049_hu_e21fe0dfb6877e39.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/049_hu_983bc8ffd6d865e6.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日本教室长发抓拍&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A candid, photorealistic Japanese high school classroom scene in vertical smartphone-photo framing. Three schoolgirls wearing matching traditional navy blue sailor uniforms are the main focus in the foreground. The central standing girl has extremely long, straight, glossy black hair that falls well past her knees, almost to the floor, and she is gently combing the lower section with a small comb while looking downward. A second girl stands behind and slightly to the right, also with long straight black hair, holding an open compact mirror in one hand and adjusting her bangs or hair near her temple with the other. A third girl kneels on the floor at the right front, carefully holding and arranging the central girl’s long hair with both hands. All three wear dark navy sailor-style school uniforms with white stripe trim, pleated skirts, long sleeves, white socks, and indoor school shoes. Their faces are obscured or blurred. In the background, exactly 8 additional students in dark school uniforms sit at desks in small groups, facing away or sideways, creating the feel of an ordinary class period or homeroom. The classroom has wooden desks and chairs, large bright windows along the left side letting in soft daylight, a green chalkboard on the right wall, bulletin papers pinned near the board, and a framed Japanese calligraphy sign above the chalkboard reading {argument name=&amp;#34;wall sign text&amp;#34; default=&amp;#34;創誠造実&amp;#34;}. The atmosphere is natural and unposed, like a documentary snapshot. Emphasize realistic lighting, fine hair detail, the unusual dramatic length of the central girl’s hair, and a believable everyday school environment.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;温馨猫耳少女睡衣夜景人像&#34;&gt;温馨猫耳少女睡衣夜景人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yume00112211/status/2047951384734228617&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yume00112211&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yume00112211&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/050.webp&#34;
	width=&#34;1200&#34;
	height=&#34;677&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/050_hu_9bfcd97dbb8f1344.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/050_hu_139c4718628c022d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;温馨猫耳少女睡衣夜景人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;425px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A soft anime-style bedroom portrait of {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Nekomata Okayu&amp;#34;}, shown from the chest up sitting on a bed at night, centered in the frame. She has short fluffy {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;lavender&amp;#34;} hair with layered bangs partially covering one eye, large cat ears on top of her head with white inner fur, and a cute sleepy catgirl appearance. Her expression is gentle and relaxed, with one hand raised near her cheek in a shy, cozy pose. She wears oversized {argument name=&amp;#34;pajama color&amp;#34; default=&amp;#34;light lavender&amp;#34;} button-up pajamas with dark purple piping, a small chest pocket, and paw-print shaped buttons and paw-print decoration on the pocket. The room is lit with dreamy purple ambient lighting. In the background, show a nighttime window with a crescent moon and stars visible outside, soft curtains, a bedside table with a glowing cat-shaped lamp, a neatly rumpled bed with pillows and blankets in matching purple tones, and a small framed wall picture featuring a simple cat face and hearts. Use a cute pastel palette, soft shading, polished digital anime rendering, subtle highlights in the hair, intimate cozy composition, and a calm bedtime atmosphere.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;收藏手办工作区照片&#34;&gt;收藏手办工作区照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010/status/2049068188399227174&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Shinning1010&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/051.webp&#34;
	width=&#34;799&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/051_hu_1837b999f2b4920a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/051_hu_8dfa3fbacf81e661.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;收藏手办工作区照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;159px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Photorealistic high-quality studio photo of a modern digital art workspace, showing the concept of “from 3D virtual character to real collectible figure.”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;In the foreground, a highly realistic collectible figurine of [Character Name / Character Identity] is placed on a round wooden display stand. The character has [facial features / appearance], [hairstyle], and a [expression / personality vibe]. The figure is wearing [outfit / costume]. The overall design is refined, premium, and instantly recognizable. The figurine should have realistic collectible statue quality, with subtle resin/sculpture material feel, while still looking highly believable and visually realistic.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The pose is [character pose], natural, stable, elegant, and display-worthy. Shot from a low-angle close-up perspective with slight wide-angle distortion, vertical composition, emphasizing the full figure, clothing structure, leg lines, and pose.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;In the background, there is a professional 3D character design workstation with two large curved monitors. Both monitors must show the exact same character as the foreground figurine — same face, same hairstyle, same outfit, same pose, and same overall vibe — clearly expressing the idea of turning a digital 3D character into a real physical figure.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The left monitor shows a gray sculpt / clay model view in a professional 3D sculpting software interface, similar to ZBrush. The gray model must match the foreground figure exactly in character design, pose, outfit structure, and facial identity.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The right monitor shows the fully rendered colored version of the same character, also matching the foreground figure exactly in face, hairstyle, outfit, pose, and temperament. Together, the two monitors reinforce the workflow of “digital character design → physical collectible statue.”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;On the desk are a keyboard, mouse, monitor arms, drawing tablet, stylus, and other 3D modeling tools. The workspace is clean, professional, and visually premium. Optional extra elements: [weapon / accessories / theme props / IP-style design details].
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting is a mix of soft studio lighting and indoor workspace lighting. The foreground figurine is evenly lit with clear facial and material detail, while the monitors emit cool-toned tech light. Overall mood is realistic, clean, premium, slightly shallow depth of field, ultra-detailed, emphasizing the collectible figure quality, professional 3D design studio atmosphere, and the visual concept of “from digital model to real figure.”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;photorealistic, ultra detailed, cinematic studio lighting, realistic figurine, collectible statue, 3D character design studio, from digital model to real figure, vertical composition
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;雨中公交站人像&#34;&gt;雨中公交站人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis/status/2049081194156020046&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@harboriis&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/052.webp&#34;
	width=&#34;799&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/052_hu_7e00494e19ac3711.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/052_hu_62cd551555def9e7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;雨中公交站人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;159px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic nighttime photo of [your photo as reference] sitting alone at a wet bus
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;stop bench, eating a burger. Rain-soaked street with orange bokeh city lights
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;reflecting on the ground. Neon tube lights overhead. Red jacket, tan corduroy
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pants. Moody, dark, atmospheric street photography.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;ccd-闪光美妆人像模板&#34;&gt;CCD 闪光美妆人像模板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithAliya/status/2049452006608392350&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithAliya&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIwithAliya&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/053.webp&#34;
	width=&#34;899&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/053_hu_a970e29428aea024.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/053_hu_a688decda3269ee3.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;CCD 闪光美妆人像模板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A hyper-photorealistic shot of the same subject in the attached image, ultra-detailed facial features, visible pores, natural skin texture, rosy complexion and dewy skin, Douyin/Korean glass-skin makeup, glossy lips, aegyosal, baby pink blush, high identity consistency, realistic human anatomy. Use an old CCD digital camera aesthetic with direct flash, visible grain, slight overexposure, cool-neutral white balance, slight motion blur, and candid composition. Hair in a loose romantic updo; outfit in delicate off-shoulder silk with embroidered floral fabric; background of pastel floral bedding; horizontal close-up; shallow depth of field. Negative prompt: over-smoothed skin, plastic texture, unrealistic proportions, studio lighting, overly sharp HDR, stiff pose, artificial symmetry, over-retouched face.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;黑红街头服饰广告人像&#34;&gt;黑红街头服饰广告人像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis/status/2049450257604550872&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@harboriis&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/054.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/054_hu_af81ed1df3c988f6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/054_hu_96d17ca8a1a940a1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;黑红街头服饰广告人像&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a bold, high-contrast black and white portrait of a confident young man wearing a black leather jacket, facing slightly sideways with an intense expression. Use dramatic studio lighting with sharp shadows and detailed skin texture. Add strong red graphic elements over the image, including a horizontal red bar across the eyes, geometric shapes, thin lines, and framing boxes. Incorporate large bold typography, repeated faded text, and a motivational headline in bright red. The design should feel like a premium sports or streetwear campaign poster with a minimal textured grey background and black/white/grey/red palette only.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/portrait.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: Poster Illustration Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;Poster Illustration&lt;/code&gt; cases: 101 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;poster-illustration&#34;&gt;Poster Illustration
&lt;/h2&gt;&lt;h3 id=&#34;波士顿-2026-春季城市海报&#34;&gt;波士顿 2026 春季城市海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain/status/2045358053831172358&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BubbleBrain&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BubbleBrain&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/000.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/000_hu_b13ca1d77f025b66.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/000_hu_14a04d63ae019209.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;波士顿 2026 春季城市海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A striking Spring 2026 city poster for Boston with an elegant celebratory mood and a bold contemporary design. On a clean off-white textured background with large areas of negative space, a miniature single sculler rows across the lower right corner of the image on a narrow ribbon of reflective water. The wake from the oar sweeps upward in a dynamic calligraphic curve, gradually transforming into the Charles River and then into a dreamlike hand-painted panorama of Boston. Inside this flowing river-shaped composition are iconic Boston elements: the Back Bay skyline, Beacon Hill brownstones, Acorn Street, Boston Public Garden, Swan Boats, Zakim Bridge, Fenway-inspired details, historic brick architecture, harbor ferries, and the city’s waterfront atmosphere. Soft morning fog, golden spring light, subtle festive accents in crimson and gold, rich detail, layered depth, sophisticated city-poster aesthetics, fresh and refined, visually powerful but not overcrowded. Elegant typography in the lower left reads “SPRING 2026” with a vertical slogan “BOSTON, A CITY OF RIVER, MEMORY, AND INVENTION”, text clear and beautifully composed, premium graphic design, 9:16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;复古阿马尔菲旅行海报&#34;&gt;复古阿马尔菲旅行海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/WolfRiccardo/status/2044562722491121718&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/WolfRiccardo&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@WolfRiccardo&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/001.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/001_hu_7177ae27922a7194.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/001_hu_ae1ee80fe09e5b31.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;复古阿马尔菲旅行海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Modern pencil illustration of Vintage travel poster illustration of the Amalfi Coast, Italy, panoramic coastal cliff road scene, classic 1960s white car driving along a curved seaside road, deep blue Mediterranean sea with small sailboats, colorful pastel hillside village, bright blue sky with soft clouds, lemon tree branches with vibrant yellow lemons framing the foreground, warm summer sunlight, bold vibrant colors, retro 1950s travel poster style, cinematic composition, high detail, screen print texture, graphic illustration. Hand-drawn style, illustration with loose strokes and defined contours. High-contrast color palette, maintaining chromatic harmony between background and elements. Contemporary and decorative aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;成都美食地图插画&#34;&gt;成都美食地图插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Panda20230902/status/2045396918965285111&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Panda20230902&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Panda20230902&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/002.webp&#34;
	width=&#34;1080&#34;
	height=&#34;1080&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/002_hu_34540734f1a49157.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/002_hu_5488e2407823bae9.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;成都美食地图插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一张手绘风格的城市美食地图，以成都为主题。画面以鸟瞰视角的手绘简化城市地图为底，标注主要道路和地标但不追求精确比例而是追求可爱的手绘感。地图上分布着 12 个美食地点的精致手绘小插画：春熙路的串串香（一把竹签插着各种食材冒着热气）、宽窄巷子的三大炮（三个糯米团子飞向铜盘）、建设路的蛋烘糕（金黄酥脆正在翻面）、玉林路的火锅（九宫格锅翻滚冒泡）等，每个插画约占地图的 5% 面积，旁边用手写体标注店名和一句推荐语&amp;#34;凌晨两点还在排队的那家&amp;#34;。地图边缘用手绘藤蔓和辣椒装饰形成边框。右下角有一个手绘指南针和图例说明。左上角标题&amp;#34;成都·吃货暴走地图&amp;#34;使用胖圆的手绘美术字配辣椒装饰。整体画风为水彩+彩铅混合的手绘质感，颜色以暖色系（辣椒红、姜黄、翠绿）为主，图片比例 1:1。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;中式极简-s-形海报&#34;&gt;中式极简 S 形海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2045368305079447853&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/003.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/003_hu_33bb41fae07ebe3a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/003_hu_5331a5d9f72ec0a9.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;中式极简 S 形海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;9
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;极简新中式美学风格，画面以淡雅的灰白色为底，呈现出一种纸艺剪影般的立体感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一条S形蜿蜒的裂痕状边缘将画面分割，仿佛撕开了一层纸面，露出内部色彩斑斓的东方山水景象。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;裂口内，一条蜿蜒的河流自上而下贯穿整个构图，河水以深浅不一的蓝色渲染，层次分明，仿佛流动的丝带。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;河岸两侧点缀着青翠的山丘与梯田，色彩柔和，绿红交织，展现出田园的宁静之美。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;沿河而建的古风建筑错落有致，飞檐翘角，白墙黛瓦，在光影的映衬下更显古朴典雅。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;岸边树木葱茏，枝叶轻盈，一艘小船静泊于水中央，增添了几分悠然意境。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体构图呈S形曲线，富有韵律感，仿佛自然与人文的和谐共生。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画作边缘采用撕纸效果，营造出立体浮雕般的视觉体验。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;下方题字“东方美学”以黑色楷体书写，日期“2026/04/18”与红色印章相呼应，底部“CHINA”字样庄重醒目，署名“@LIYUE”低调收尾，整体氛围静谧深远，充满诗意与哲思。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;2026-春季广州城市海报&#34;&gt;2026 春季广州城市海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2045332620352119274&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/004.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/004_hu_201378eef9abf5ab.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/004_hu_3a9287e91b217ff1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;2026 春季广州城市海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一张充满新春喜庆氛围但不失高雅格调的 2026 城市宣传海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;双重曝光，构图延续了S型的流动感；
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在纯白的纹理背景右下角，一个身穿中国传统服饰的微缩人物正在挥舞着一条长长的红色丝绸舞带，这条红绸在空中舞动，不仅展现出丝绸的柔顺质感，更在向左上方飘动的过程中，奇幻地变形成了一条壮丽的山脉河流。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在这条“河流”中，叠加了一个有山有海河的广州城市手绘图，国潮，景色尽在眼底，壮阔雄伟，令人震撼。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;广州的地标建筑(广州塔，珠江新城建筑群，珠江, 广州城里古建筑，游轮，白云山）。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;云雾环绕，仙气缥缈，色彩丰富，结构复杂，细节丰富，但因为大面积的留白，画面依然显得清新脱俗，左下角排版着“SPRING 2026”和竖排的宣传语，整体寓意“千年商都，魅力广州”。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;文字排版优美，大方，字迹清晰完整，尺寸9:16。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;涂鸦草图-ai-构建器&#34;&gt;涂鸦草图 AI 构建器
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/blanplan/status/2045190582453350748&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/blanplan&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@blanplan&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/005.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/005_hu_d4cb03ebae804e31.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/005_hu_e07d8a36ce373b89.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;涂鸦草图 AI 构建器&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;以涂鸦速写风表现【一个厉害的AI builder】，整体呈现快速勾勒、自由变形、即兴手绘与草稿式的视觉效果。线条随手、夸张、可粗细不一，略显凌乱但具有节奏和表现力，强调概括、夸张、趣味和随性，而不是严谨写实或精细刻画。  颜色采用粗糙、干刷感明显的块面表现，可保留不均匀的涂抹痕迹、刷痕、飞白与覆盖感，色彩根据【主题/主体】自动适配，但整体保持涂鸦式、速写式、概括式的表达。不要透明水彩晕染效果，不要细腻水彩过渡，不要纸纹理，不要柔和雾化，不要梦幻质感。  背景以留白为主，保持简洁、轻松、未完成感和设计感，可加入少量辅助性符号、箭头、记号、圈画、重复线、随手写的文字或其他涂鸦元素，以增强速写本或随笔式视觉语言，但不可过于拥挤，不可破坏主体和留白气质。  画面内容不需要预先写清楚，由【一个厉害的AI builder】自动推演并生成最适合的主体形象、动作、相关元素、符号或简化场景，整体保持统一的涂鸦速写风和夸张概括的表现方式，避免复杂写实背景和过度铺陈。 画面中需自然加入专属签名“BlanPlan”，作为画面的一部分，位置低调但清晰，可放在左下角、右下角或标题附近，风格需与整体版式统一，像作品署名或设计落款；签名字体精致、克制、高级，不可过大，不可破坏主体构图，不可显得突兀或廉价。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;未来感曼陀罗插画&#34;&gt;未来感曼陀罗插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/4WEB1/status/2045390207072256179&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/4WEB1&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@4WEB1&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/006.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/006_hu_c760bc8e41039f0b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/006_hu_190a7b33fa3c1ab5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;未来感曼陀罗插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;曼荼羅の近未来SF版を描いて
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;super-famicom-海报风格&#34;&gt;Super Famicom 海报风格
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/lilimliliychan/status/2045114760937804187&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/lilimliliychan&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@lilimliliychan&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/007.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/007_hu_655385dda509ecd4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/007_hu_900e63dc41e8da08.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Super Famicom 海报风格&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;小悪魔リリムリリィちゃんが　スーパーファミコンのゲームだったときのポスターを考えて
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;网页游戏广告创意海报&#34;&gt;网页游戏广告创意海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/llllegend0620/status/2045963764466688065&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/llllegend0620&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@llllegend0620&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/008.webp&#34;
	width=&#34;848&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/008_hu_28b9e5ac6b0e1050.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/008_hu_3f72f321265d76cc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;网页游戏广告创意海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;以下の文字を必ず入れて、1:1のポスターを作成してください。書籍・講座・イベント告知に使える、プロの広告デザイナーが作ったような高品質な仕上がりにしてください。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;広告クリエイティブ制作
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;思いついたら、もう遊べる。 AI×ブラウザゲームづくりは、マジで楽しい。 むずかしそうで、実ははじめやすい。 コードがわからなくても、はじめの一本は作れる
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;超现实锦鲤星云插画&#34;&gt;超现实锦鲤星云插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2045875219307655337&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/009.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/009_hu_f0687074165c1ecd.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/009_hu_d638cb0a03268eec.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;超现实锦鲤星云插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一幅超现实主义数字插画风格，采用低角度仰拍视角。画面描绘了一条巨型彩色锦鲤遨游在梦幻般的星云中，四周环绕着色彩鲜艳的星云与气泡。画面中央还站着一个小人，背对观众，神情平静地仰望空中这条巨大的锦鲤，锦鲤头向下看着小人。整体画面呈现出强烈的大小对比，氛围空灵又梦幻。比例9:16
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;墨线广州美学海报&#34;&gt;墨线广州美学海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2045873940883808523&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/010.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/010_hu_f78ba957182dc90f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/010_hu_8a16bbe919ce2e54.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;墨线广州美学海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;纯黑深邃底色，一条粗壮有力的墨色书法 S 型曲线自画面一端蜿蜒贯穿至另一端，构成整幅画面的视觉骨架与叙事动线。曲线上方是一只透明质感的画眉鸟，内部映射传统建筑叠影与蓝绿色光流；沿曲线错落分布广州地标与古典建筑序列，前景有白鹤与湖面，远景为层叠山峦。整体采用非线性透视、冷色调主导、暖色点缀，东方美学与现代意象交融，8K 超高清渲染，比例 9:16。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;广东超级联赛邀请海报&#34;&gt;广东超级联赛邀请海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2045772039521542202&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/011.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/011_hu_92a4a5fab599fb1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/011_hu_14597bd741392962.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;广东超级联赛邀请海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;广东省城市足球超级联赛（粤超）邀请函海报设计，比例 9:16。S 型流动构图，以发光足球和动态能量流贯穿画面，沿动线融合广州塔、深圳平安金融中心、珠海渔女雕像、岭南建筑、佛山武术剪影、中山文化符号、潮汕英歌舞与清远山水。现代国潮高级海报风格，中国红主视觉，青蓝辅助，金色高光，带完整中文排版与电影级光影。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;2026-春季广州宣传海报&#34;&gt;2026 春季广州宣传海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/grok/status/2046012437086818395&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/grok&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@grok&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/012.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/012_hu_201378eef9abf5ab.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/012_hu_3a9287e91b217ff1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;2026 春季广州宣传海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一张充满新春喜庆但高雅的 2026 广州城市宣传海报，9:16 竖版，双重曝光，S 型流动构图。纯白纹理背景，右下角微缩传统服饰人物挥舞长红绸，红绸变形成山脉河流，内部叠加广州全景：广州塔、珠江新城、珠江、游轮、古建筑与白云山。左下角排版 “SPRING 2026” 与竖排 “千年商都 魅力广州”。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;史诗剪影世界海报&#34;&gt;史诗剪影世界海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Ghhhh3owi/status/2045803217251102897&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Ghhhh3owi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Ghhhh3owi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/013.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/013_hu_205251b6c1aac015.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/013_hu_e4cd661288228225.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;史诗剪影世界海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;收藏版史诗海报，人物侧脸剪影中生长出完整世界观与经典场景。整体偏电影海报加梦幻水彩插画风，安静、宏大、神圣、怀旧，带纸张颗粒、轻雾感、飞白刷痕与高级留白。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;春季广州城市海报&#34;&gt;春季广州城市海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/alanlovelq/status/2045484598487060917&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/alanlovelq&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@alanlovelq&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/014.webp&#34;
	width=&#34;675&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/014_hu_66d135c37c0b4d4c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/014_hu_aedcb5179c6eb528.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;春季广州城市海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一张充满新春喜庆氛围但不失高雅格调的 2026 城市宣传海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;双重曝光，构图延续了S型的流动感；
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在纯白的纹理背景右下角，一个身穿中国传统服饰的微缩人物正在挥舞着一条长长的红色丝绸舞带，这条红绸在空中舞动，不仅展现出丝绸的柔顺质感，更在向左上方飘动的过程中，奇幻地变形成了一条壮丽的山脉河流。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在这条“河流”中，叠加了一个有山有海河的广州城市手绘图，国潮，景色尽在眼底，壮阔雄伟，令人震撼。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;广州的地标建筑(广州塔，珠江新城建筑群，珠江, 广州城里古建筑，游轮，白云山）。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;云雾环绕，仙气缥缈，色彩丰富，结构复杂，细节丰富，但因为大面积的留白，画面依然显得清新脱俗，左下角排版着“SPRING 2026”和竖排的宣传语，整体寓意“千年商都，魅力广州”。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;文字排版优美，大方，字迹清晰完整，尺寸9:16。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;科学百科竖版海报&#34;&gt;科学百科竖版海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/pfanis/status/2046413660147314714&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/pfanis&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@pfanis&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/015.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/015_hu_7a1d5b1fc480bc5f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/015_hu_e3c8fefa5d7cca80.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;科学百科竖版海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Generate a high-quality vertical science popularization encyclopedia image based on [Theme].
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;西游记中式漫画&#34;&gt;西游记中式漫画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/overseas58/status/2046271877577097376&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/overseas58&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@overseas58&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/016.webp&#34;
	width=&#34;1200&#34;
	height=&#34;960&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/016_hu_fe8120241e09b388.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/016_hu_e386733db9966ec7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;西游记中式漫画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;125&#34;
		data-flex-basis=&#34;300px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;以中国连环画（小人书）的风格帮我绘制大闹天空
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;人物关系图海报&#34;&gt;人物关系图海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2046263153546174935&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/017.webp&#34;
	width=&#34;1122&#34;
	height=&#34;1402&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/017_hu_ecf91d7e5670cb15.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/017_hu_3852c8879f947e2f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;人物关系图海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请根据【主题】生成一张高设计感的人物关系图海报。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;新中式水墨山水海报&#34;&gt;新中式水墨山水海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2046215276249993720&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/018.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/018_hu_ba4b32e94d2d9d51.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/018_hu_fea52abd0b5219df.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;新中式水墨山水海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;新中式水墨山水海报，竖版9:16构图，东方极简美学风格，大面积留白，主题是春岚一叶红。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;ai-构建器涂鸦草图&#34;&gt;AI 构建器涂鸦草图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/opc_8838/status/2046162334440448339&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/opc_8838&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@opc_8838&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/019.webp&#34;
	width=&#34;1196&#34;
	height=&#34;798&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/019_hu_a74dd5ddef7a0bae.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/019_hu_231bd5c0eba1e0db.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;AI 构建器涂鸦草图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;149&#34;
		data-flex-basis=&#34;359px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;以涂鸦速写风表现【一个厉害的AI builder】。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;角色视觉竖版海报&#34;&gt;角色视觉竖版海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/tebasaki3D/status/2046371076402503709&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/tebasaki3D&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@tebasaki3D&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/020.webp&#34;
	width=&#34;850&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/020_hu_9e37ba30b1ebdb81.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/020_hu_fea7f01117845071.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;角色视觉竖版海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;170px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;『神層37区 特級執行官 神巫サバト』この名称のキャラクターと世界観に合ったビジュアルイメージを、プロのデザイナーとして縦長のポスターイメージとして制作して
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;科学百科信息图&#34;&gt;科学百科信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2046231542817497392&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/021.webp&#34;
	width=&#34;1122&#34;
	height=&#34;1402&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/021_hu_4a7d12ea0cf9290f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/021_hu_eb66865bfa321ec6.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;科学百科信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请根据【主题】生成一张高质量竖版「科普百科图」。 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;这张图不是普通海报,也不是单纯插画,而是一张兼具“图鉴感、百科感、信息结构感、收藏感”的模块化科普信息图。整体风格参考高级博物图鉴、现代百科书页、生活方式知识卡和社交媒体高传播信息图的结合。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请让画面包含:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 一个清晰漂亮的主题主视觉
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 若干局部特征放大细节
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 多个圆角模块化信息分区
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 清楚的标题层级与重点标签
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 简洁但丰富的百科内容
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 可视化评分、要点总结或Top 5模块
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;内容栏目请根据主题自动适配,优先从这些方向中选择并合理组合:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;基础档案、分类信息、外观特征、习性/生态、形成机制/结构组成、生长或使用条件、养护或维护建议、风险与注意事项、适合人群或适用场景、优缺点对比、快速评分卡。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;视觉要求:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;浅色干净背景,柔和配色,轻阴影,精致小图标,圆角信息框,整洁排版,信息密度高但不拥挤,阅读体验好。整体必须像真正可以发布、阅读、收藏、系列化生产的科普百科卡,而不是广告图。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请不要做成普通商业宣传海报。要突出“知识整理 + 模块信息 + 图鉴式展示”的特征。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;虚构动漫电影海报&#34;&gt;虚构动漫电影海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/seiiiiiiiiiiru/status/2046509734954741780&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/seiiiiiiiiiiru&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@seiiiiiiiiiiru&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/022.webp&#34;
	width=&#34;848&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/022_hu_3eb4d328714650a0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/022_hu_e957d648395ca3a5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;虚构动漫电影海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;架空のアニメ映画のポスターをGPT image2で作成。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;产品广告重设计&#34;&gt;产品广告重设计
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/genel_ai/status/2046498264774791514&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/genel_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@genel_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/023.webp&#34;
	width=&#34;848&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/023_hu_1201ba3a0754f179.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/023_hu_9c6e72623a0eb735.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;产品广告重设计&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;この商品広告をプロのデザイナー目線でリデザインして。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;今のトレンド、ターゲットに合わせた洗練されたデザインで。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;暗黑奇幻广州城市海报&#34;&gt;暗黑奇幻广州城市海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai/status/2046243132774494607&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/liyue_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@liyue_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/024.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/024_hu_f0687074165c1ecd.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/024_hu_d638cb0a03268eec.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;暗黑奇幻广州城市海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;9
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;平面插画,东方幻想风格高端城市海报设计,竖版9:16构图,整体采用对角线+S型流动构图,从左下向右上延展,画面以深邃黑色为背景,自上而下渐变至浓烈暗红色,形成强烈冷暖对比与空间纵深,背景带微弱星尘与颗粒质感。画面中央一条金色流动能量线条如火焰般蜿蜒贯穿,自底部向上延伸,具有流体质感、粒子光效与渐变高光,局部带细微能量碎屑与体积光。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;金色流光中逐层浮现广州城市地标建筑群:广州塔为视觉核心,比例突出,周围融合珠江新城高楼群、猎德大桥及现代与岭南建筑元素,建筑采用“精细线描 + 金色发光体块”表现,轮廓清晰、细节丰富,在金色光晕映衬下仿佛悬浮于虚空,形成超现实空间层次,远景轻微雾化增强纵深感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面底部为一位东方白发女性形象,长发飘逸,如烟似雾,与金色流光自然衔接并逐渐融合,发丝半透明带渐变光感,姿态柔美,双目微闭,神情宁静,怀抱一束多彩鲜花,花间点缀微光粒子与星点效果,象征人与城市能量的精神连接,人物细节适度简化以突出整体设计感。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;光影集中于金色流线、建筑与人物轮廓,形成强烈明暗对比与视觉聚焦,整体氛围宏大、神秘、具有东方神话意境且略带治愈感。色彩以黑与暗红为基底,高亮鎏金为主视觉强调,金色具备丰富明暗层次,辅以小面积高饱和花束色彩点缀,整体高级克制。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;页面文字与画面融合排版:顶部居中宋体大字“广州·中国”,下方小字“2026/04/20”,再下方小字“LIYUE”,文字采用淡金色或柔和暖白色,与整体光影统一。高品质细节,电影级光影表现,体积光与粒子细节丰富,画面干净无噪点,超高清8K分辨率,商业级海报质感。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;科幻电影海报&#34;&gt;科幻电影海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/underwoodxie96/status/2046514205529088501&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/underwoodxie96&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@underwoodxie96&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/025.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/025_hu_ef80f60974fc9d7e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/025_hu_183996ab6e6916ab.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;科幻电影海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a Science fiction movie poster
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;清爽夏日乌冬广告&#34;&gt;清爽夏日乌冬广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/genel_ai/status/2046501692246470871&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/genel_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@genel_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/026.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/026_hu_bf8be9a29c4774c9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/026_hu_82496932fbd2b49c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;清爽夏日乌冬广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;少し暑くなってきた今の時期に、さわやかにさっぱりしたい、みずみずしさ、みたいなところをもっと強く感じたい。冷たいうどんやナス、つゆを口に含んだ時の爽快感、みたいなものをもっと感じるように
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;手写医疗处方单&#34;&gt;手写医疗处方单
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2046514998965371144&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/027.webp&#34;
	width=&#34;899&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/027_hu_e42b00db642e5189.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/027_hu_67d8c7386a9431c5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;手写医疗处方单&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成一张手写中/西医药方图
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;硅谷-2026-宣传海报&#34;&gt;硅谷 2026 宣传海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/carsonyungos/status/2046523198116889064&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/carsonyungos&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@carsonyungos&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/028.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/028_hu_d73b27149cfbc777.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/028_hu_b4b7a2a267a3763c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;硅谷 2026 宣传海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A refined 2026 Silicon Valley city promotional poster with a futuristic yet elegant atmosphere.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Double exposure composition, preserving an S-shaped sense of flowing movement. On a pure white textured background, in the lower-right corner, a miniature figure dressed in sleek modern techwear is releasing a long ribbon of luminous silver-blue light. The ribbon flows gracefully through the air, showing a soft silk-like texture, and as it drifts toward the upper-left, it magically transforms into a grand landscape of rolling hills, coastline, data streams, and illuminated urban terrain.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Within this flowing “river of light,” overlay a hand-drawn panoramic map of Silicon Valley, blending technology, nature, innovation, and California sunlight. The scene feels visionary, expansive, sophisticated, and inspiring.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Include iconic Silicon Valley and Bay Area elements: Stanford University arches, Apple Park, Google campus-inspired buildings, Meta-like glass offices, Tesla-style innovation imagery, venture capital offices on Sand Hill Road, Palo Alto tree-lined streets, San Jose skyline, the Santa Cruz Mountains, San Francisco Bay, highways, autonomous vehicles, startup labs, semiconductor patterns, AI data centers, and subtle circuit-board textures.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Surrounded by soft mist, golden California light, floating clouds, and delicate digital particles. Rich colors, complex structure, highly detailed, grand and breathtaking, yet still fresh and minimal because of the large areas of white space.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;In the lower-left corner, elegant typography reads “SILICON VALLEY 2026” with a vertical promotional slogan: “Where Ideas Shape Tomorrow.” Beautiful editorial layout, graceful spacing, clear and complete lettering, premium city branding poster, cinematic lighting, sophisticated details, 9:16 aspect ratio.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日本超市促销传单&#34;&gt;日本超市促销传单
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/weel_corp/status/2046514558064586782&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/weel_corp&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@weel_corp&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/029.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/029_hu_46b43666df1084c1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/029_hu_ae3682fc143d094b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日本超市促销传单&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;『賑やかで魅力的なスーパーマーケットの折り込みチラシの画像。上部には「特売」の大きな文字と今週の日付。カラフルな商品写真(野菜・果物・牛肉・鮮魚)、赤枠の価格タグ、「超目玉商品」「家計応援」のキャッチ...』
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;暗黑史诗概念海报&#34;&gt;暗黑史诗概念海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/A9Quant/status/2046224777208361126&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/A9Quant&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@A9Quant&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/030.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/030_hu_9c400ff2c7fc93a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/030_hu_c0f89cc2b0aee3d4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;暗黑史诗概念海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;42
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;43
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;44
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;45
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;46
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;47
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;48
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;49
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;50
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;51
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;52
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;53
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;54
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;55
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;56
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;57
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;58
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;59
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;60
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;61
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;62
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;63
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;64
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;65
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;66
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;67
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;68
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;69
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;70
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;71
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;72
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;73
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;74
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;75
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;76
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;77
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;78
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;79
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;80
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;81
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;82
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;83
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;84
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;85
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;围绕【主题】自动生成一张顶级暗黑史诗概念海报 / 电影感信息图海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;唯一需要输入的变量只有:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【主题】:___特朗普的思考____ 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;除【主题】之外,其余全部由 AI 自动适配完成,包括但不限于:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 核心主体(自动判断更适合人物、守护者、战士、产品、器物、雕像、抽象象征或其他主视觉对象)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 中央承载结构(自动判断更适合王座、石座、祭坛、机械基座、遗迹、高台或其他支撑体)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 环境空间(自动判断更适合洞穴、神殿、废墟、深渊、地下宫殿、密室或其他封闭史诗空间)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 上方开口与光源形式(自动判断更适合月光、神光、能量束、审判之光、圣光或其他单一强光)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 象征元素(自动判断更适合骷髅、徽记、残碑、纹章、符文、能量环、神性符号等)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 色彩体系
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 材质组合
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 标题、副标题、辅助文案
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 排版与整体叙事气质
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【总风格】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;高预算 90 年代好莱坞史诗大片海报气质,融合 cinematic matte painting、超写实摄影质感、极强明暗对比、厚重空间叙事、暗黑英雄主义与仪式感构图。整体必须像一张真正的电影主海报,而不是普通插画或电商图。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【核心结构锁定】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整张海报必须保留以下结构基因:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1. 一个巨大、压迫感极强的黑暗封闭空间
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2. 一束从上方斜向切入的强烈体积光,作为画面的第一视觉秩序
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3. 中央偏右或光束终点位置的核心主体与承载结构
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4. 左下角作为高密度标题与信息锚点
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;5. 四周保留大量纯黑或近黑负空间,形成电影感呼吸区
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【自动适配规则】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;AI 必须依据【主题】自动推导最适合的视觉系统:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果【主题】偏暗黑英雄、复仇、正义、孤独、宿命,则自动偏向石质王座、孤高人物、冷色神光、废墟或洞穴感空间
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果【主题】偏神秘、幽灵、潜行、幻影、夜行,则自动偏向月光、迷雾、冷蓝色体积光、深渊式黑暗空间
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果【主题】偏权力、统治、王者、秩序,则自动强化 throne / altar / crown-like symbol / ritual space 的表达
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果【主题】偏科技、AI、未来、机械,则自动将王座和空间替换为机械神座、能量基座、金属洞窟、工业神殿等未来化形态
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果【主题】偏产品、品牌、器物,则自动把核心主体替换为最合适的 hero object,并保留被神光审判式凸显的史诗构图
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【画布与色彩系统】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 背景底层必须是极深、近乎吞噬一切的黑暗空间
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 主环境色由 AI 根据【主题】自动决定,但整体必须克制,以暗色为主
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 强光区域色彩必须高度集中,只服务于体积光与主体高光
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 主题色 / 强调色只能集中用于主视觉核心,不允许全画面泛滥
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 必须建立明确的“黑暗底色 + 单一主光 + 少量主题强调色”的层级秩序
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【构图与视觉重力】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 采用强烈的斜向张力与向中心汇聚的视觉引导
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 视觉重力从上方光源强势落下,最终压在核心主体之上
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 主体必须处于被命运、审判、神性或权力照中的位置
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 边缘必须自然融入黑暗,不能出现无意义背景填充
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 所有元素必须服务于唯一的主叙事核心
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【材质与光影】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 不使用轮廓线,不使用平面化描边
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 完全依赖体积光、阴影切割、反射、高光、雾气、粉尘、湿润岩石或其他真实材质来建构画面
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 材质必须形成明显对比,例如:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  粗粝岩石 / 冷硬金属 / 柔韧织物 / 古老石雕 / 湿润表面 / 尘雾光柱
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 光束必须具有强烈 Tyndall effect,真实、厚重、可感知体积密度
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【排版系统】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 整体 80% 视觉,20% 文字
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- AI 根据【主题】自动生成主标题、副标题和底部信息块
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 主标题应尽量简洁、有气势、有电影海报感
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 若主题更适合中文,则优先中文;若更适合英文,则自动英文;也可双语,但必须统一
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 主标题可沿光束垂直排布,仿佛由光本身构成
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 左下角设置一个高密度信息模块,包括副标题、小字信息、电影 credits 风格占位文字或品牌说明
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 文字必须锐利、干净、真实嵌入环境,不得廉价漂浮
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【模块结构 —— 必须严格保持 3 块】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[MOD 1: TOP-TO-CENTER BEAM]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;从顶部开口斜向切下的巨大体积光柱,作为第一视觉通道,并承载主标题或主视觉文字。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[MOD 2: CENTER-RIGHT CORE]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;位于光束终点的核心主体与承载结构,形成整张海报的权力中心 / 命运中心 / 叙事中心。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[MOD 3: BOTTOM-LEFT TEXT]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;位于左下角负空间中的高密度排版区,包含副标题、说明文字、credits 风格信息块、品牌信息或活动信息。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【作者署名】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在底部角落自然加入作者署名:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;@a9quant
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;署名要小而清晰,精致、克制、高级,不喧宾夺主,像正式电影概念海报或艺术作品落款。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【输出要求】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;输出为单张统一构图海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;所有视觉系统必须内部一致,不能有风格污染。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面必须具备:暗黑感、史诗感、压迫感、仪式感、命运感、电影完成度。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;最大细节密度,超清,电影级,印刷级,高端成片质感。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;普拉提工作室广告海报&#34;&gt;普拉提工作室广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ck_igarashi/status/2046528889124728993&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ck_igarashi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ck_igarashi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/031.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/031_hu_fefe4ef6ac729c95.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/031_hu_298b2020792bf385.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;普拉提工作室广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ピラティス教室の広告画像を作成したい テキストはよりユーザーが登録をするのに惹かれるような文言にし、画像内には女性がピラティスを実際に行っている様子を映して
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;六模块时尚广告提示词公式&#34;&gt;六模块时尚广告提示词公式
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/anacoding/status/2046904999045628114&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/anacoding&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@anacoding&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/032.webp&#34;
	width=&#34;1200&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/032_hu_978a06ca6d6ab538.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/032_hu_f0b66b26ea02deff.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;六模块时尚广告提示词公式&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Old money Hamptons editorial, tall blonde woman late 20s, serene elegant expression, wearing cream cashmere cable sweater, pleated beige tennis skirt, pearl earrings, Hermès silk scarf, leather flats, Slim Aarons photography style, medium format film photography, sitting on a white wooden porch of a Cape Cod house, golden hour light, ocean in the background
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;sony-a7-爆炸图拆解提示词&#34;&gt;Sony A7 爆炸图拆解提示词
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/iaPulse_/status/2046903739429097660&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/iaPulse_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@iaPulse_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/033.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/033_hu_8ea3e4a967c5fe31.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/033_hu_216e262211d2baa2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Sony A7 爆炸图拆解提示词&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Descomposición detallada de una cámara de la marca Sony modelo A7 indicando todas sus piezas y con sus nombres.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;1900-年独立大街全景提示词&#34;&gt;1900 年独立大街全景提示词
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ai_gezgini/status/2046903631509705030&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ai_gezgini&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ai_gezgini&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/034.webp&#34;
	width=&#34;1200&#34;
	height=&#34;595&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/034_hu_261edcda8ca3abd1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/034_hu_c8efc03f5c4fdc7f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;1900 年独立大街全景提示词&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;201&#34;
		data-flex-basis=&#34;484px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;360 equirectangular image of Istiklal Street, Istanbul in 1900
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;主题科学百科卡片&#34;&gt;主题科学百科卡片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/alanlovelq/status/2046378199681257920&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/alanlovelq&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@alanlovelq&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/035.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/035_hu_63664ea9802825bb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/035_hu_4e9730ca7264bcfa.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;主题科学百科卡片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请根据【主题】生成一张高质量竖版「科普百科图」。 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;这张图不是普通海报,也不是单纯插画,而是一张兼具“图鉴感、百科感、信息结构感、收藏感”的模块化科普信息图。整体风格参考高级博物图鉴、现代百科书页、生活方式知识卡和社交媒体高传播信息图的结合。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请让画面包含:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 一个清晰漂亮的主题主视觉
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 若干局部特征放大细节
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 多个圆角模块化信息分区
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 清楚的标题层级与重点标签
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 简洁但丰富的百科内容
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 可视化评分、要点总结或Top 5模块
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;内容栏目请根据主题自动适配,优先从这些方向中选择并合理组合:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;基础档案、分类信息、外观特征、习性/生态、形成机制/结构组成、生长或使用条件、养护或维护建议、风险与注意事项、适合人群或适用场景、优缺点对比、快速评分卡。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;视觉要求:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;浅色干净背景,柔和配色,轻阴影,精致小图标,圆角信息框,整洁排版,信息密度高但不拥挤,阅读体验好。整体必须像真正可以发布、阅读、收藏、系列化生产的科普百科卡,而不是广告图。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请不要做成普通商业宣传海报。要突出“知识整理 + 模块信息 + 图鉴式展示”的特征。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;辣椒炒肉烹饪流程图&#34;&gt;辣椒炒肉烹饪流程图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Kurt_Rousey466/status/2046267707881029934&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Kurt_Rousey466&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Kurt_Rousey466&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/036.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/036_hu_b5058bd6ddbe2e29.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/036_hu_fb0f9b9736277e92.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;辣椒炒肉烹饪流程图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;帮我制作辣椒炒肉这道菜的详细制作流程图,真实风格,适用于小红书图文比例
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;电影感信息图概念海报&#34;&gt;电影感信息图概念海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/A9Quant/status/2046228485841334559&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/A9Quant&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@A9Quant&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/037.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/037_hu_4786868151e9758a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/037_hu_7fb4793db00ce0dd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电影感信息图概念海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;42
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;43
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;44
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;45
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;46
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;47
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;48
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;49
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;50
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;51
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;52
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;53
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;54
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;55
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;56
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;57
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;58
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;59
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;60
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;61
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;62
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;63
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;64
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;65
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;66
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;67
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;68
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;69
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;70
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;71
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;72
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;73
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;74
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;75
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请围绕【主题】自动生成一张顶级概念海报 / 信息图式电影海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;唯一输入变量只有:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【主题】:__中国历史上的皇帝排名_         
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;要求 AI 根据这个主题,自动推导并统一设计以下全部视觉系统,不需要我额外指定:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 核心主体(可以自动判断更适合人物、产品、建筑、器物、符号、场景或抽象意象)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 底部支撑结构
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 上方悬浮符号或精神象征
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 场景包裹元素
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 隐喻系统
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 色彩层级
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 材质对比
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 光影逻辑
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 标题、副标题、辅助文案
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 品牌感与高级感表达方式
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;最终画面必须是:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;一张震撼、精密、统一、电影级、超高细节、可用于高端印刷的概念主视觉海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【总风格】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;超写实 3D 商业 CGI 渲染,融合电影级布光、奢侈品视觉语言、未来感概念设计与史诗级构图。画面必须具有“唯一主视觉核心”,不能杂乱,不能像拼贴,不能像普通电商海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【自动推导规则】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;AI 必须依据【主题】自动决定最合适的:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1. 核心视觉隐喻
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2. 主体类型与姿态
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3. 支撑结构形式
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4. 悬浮元素形式
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;5. 场景外壳与空间氛围
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;6. 主色、辅色、强调色
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;7. 材质组合
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;8. 文字气质与版式风格
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;例如:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果主题偏权力、秩序、资本、统治,则自动偏向王座、冠冕、机械、神殿、红幕、金属、权力结构
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果主题偏科技、AI、芯片、未来,则自动偏向机械结构、能量核心、光束、深色金属、全息感
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果主题偏奢侈品、高定、稀缺、收藏,则自动偏向珠宝、镜面材质、黑金体系、展台、博物馆式布光
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果主题偏人物、IP、角色,则自动以人物为主视觉核心,并自动匹配对应世界观与象征系统
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 如果主题偏城市、文明、史诗、命运,则自动转化为宏大叙事型空间结构与仪式感场景
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【构图规则】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 绝对高级感
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 强烈中心秩序,整体统一
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 允许中轴对称或接近中轴的史诗级构图
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 视觉重力明确,从上到下形成清晰的层级落点
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 边缘负空间干净、克制、有呼吸感
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 不允许无意义装饰,不允许风格污染,不允许多个系统互相打架
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【视觉质量】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 超高细节
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 体积光清晰
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 材质真实
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 反射、折射、阴影、雾气、景深自然
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 每个元素都像经过工业级视觉总监审美控制
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 整体达到高端品牌 campaign key visual / luxury invitation poster / conceptual editorial poster 水准
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【排版系统】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 整体为 90% 视觉,10% 文字
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- AI 根据【主题】自动生成最匹配的主标题和副标题
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 标题必须简洁、锋利、有气势
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 文案分布在安全负空间内,不压主体
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 若主题适合中文,则优先生成中文标题;若主题更适合英文,则自动生成英文标题;也可中英结合,但必须统一高级
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 文字必须尽量少而准,不要堆字
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【署名要求】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;在画面底部角落自然加入作者署名:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;@a9quant
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;署名要小,但清晰、精致、高级,不喧宾夺主,像顶级视觉作品中的正式作者落款。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【输出要求】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;输出为单张统一构图海报。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;自动根据【主题】完成全部视觉决策。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;画面必须具备史诗感、秩序感、控制力、仪式感、商业完成度。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;最大细节密度,超清,电影级,印刷级,高端成片质感。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;户外全身照中的年轻白人女性&#34;&gt;户外全身照中的年轻白人女性&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSarah_/status/2047234995627172229&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSarah_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIwithSarah_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038_hu_ff5a247e2a801b2c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038_hu_4fbacbb1e8c8dfe8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;户外全身照中的年轻白人女性…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A full-body outdoor shot captures a young Caucasian woman, possibly in her late 20s, striding through a city crosswalk. She wears an oversized, matte chocolate-brown leather jacket paired with a free-flowing black skirt and sleek knee-high black boots, conveying a sense of high fashion street style. Her long, dark brown hair is wind-swept, complementing her poised and confident expression as she glances sideways. Behind her, a blurred urban backdrop features a yellow taxi and pedestrians, with buildings displaying varied architectural details in neutral tones. The scene utilizes soft ambient daylight filtering through light cloud cover, producing a muted, overcast lighting effect. The warm, earthy color palette consists of brown, black, and touches of beige. The image, likely from a high-resolution digital camera, presents a wide-angle view that maintains focus throughout, emphasizing a dynamic and fashionable feel.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;冷藏气泡水专业产品摄影&#34;&gt;冷藏气泡水专业产品摄影
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/meng_dagg695/status/2047227172486824002&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/meng_dagg695&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@meng_dagg695&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/039.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/039_hu_de370bf7dfdeccac.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/039_hu_586efe83d344a1c7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;冷藏气泡水专业产品摄影&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A professional product photography shot of a cold sparkling water
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;can placed upright in golden beach sand. The can is silver and teal,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;covered in realistic water droplets condensation, with a pineapple
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;illustration and tropical branding. The can is slightly tilted,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;planted in a small mound of fine golden sand with tiny white pebbles
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;and small green tropical leaves/grass scattered around the base.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background features a bold split composition - bright sky-blue on
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;the left and vivid yellow on the right, with a large blurred real
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pineapple placed behind the can on the right side. A blurred tropical
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;palm leaf drapes in from the upper left corner, adding depth and
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;framing. Macro-level water condensation droplets visible on the
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;can surface. Lighting is bright, vibrant, commercial studio lighting
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;with clean shadows. Shallow depth of field - can in sharp focus,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;background softly blurred. Mood: summer, tropical, fresh, refreshing.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Commercial product photography, ultra-detailed, 8K.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;360-度等距柱状全景图&#34;&gt;360 度等距柱状全景图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/rs_elwood/status/2047192228758692036&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/rs_elwood&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@rs_elwood&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038_hu_ff5a247e2a801b2c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038_hu_4fbacbb1e8c8dfe8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;360 度等距柱状全景图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;360度 equirectangular （正距円筒図法）画像を2:1で生成
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Online 360° Panorama Viewer VR
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;柔和诗意儿童书插画水彩与水粉质感&#34;&gt;柔和诗意儿童书插画，水彩与水粉质感&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/dotey/status/2047174895293849972&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/dotey&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@dotey&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/040.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/040_hu_424e23fdce1730a6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/040_hu_b3e249d6b567c7ff.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;柔和诗意儿童书插画，水彩与水粉质感…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Soft poetic children&amp;#39;s book illustration with watercolor and gouache textures.Clear gentle daylight with slightly brighter highlights.Muted pastel colors with soft blue and warm tones.Visible brush strokes and paper grain.Minimalist composition with large negative space.Calm, thoughtful, slightly open-ended atmosphere.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Child character (around 12 years old).Subtle visual metaphors like light, shadow, perspective, reflection.Hand-painted picture book style, not cartoon, not anime, not 3D.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Two children in calm conversation,soft connection forming.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;画幅比例916-竖版&#34;&gt;画幅比例：9:16 竖版
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/GeekCatX/status/2047220831491858766&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/GeekCatX&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@GeekCatX&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/041.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/041_hu_27f5a8dc11c92271.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/041_hu_a84f0f87582688a5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;画幅比例：9:16 竖版&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Aspect Ratio: 9:16 Vertical
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【IDENTITY &amp;amp; REALISM (CRITICAL PRIORITY)】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The subject is an adult female whose facial features and bone structure must 100% perfectly match the provided FACE_REF image. Eye spacing, nose bridge, jawline, and cheekbone structure must be exact; no identity drift is allowed. Skin texture must be photorealistic, showing pores and fine details—do not over-smooth or apply an Instagram filter look.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【PHOTOGRAPHY &amp;amp; CINEMATOGRAPHY】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-end editorial fashion photograph with a cinematic quality, rivaling covers of Vogue, Harper’s Bazaar, or ELLE.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lens &amp;amp; Focus: Use an 85mm lens (for medium shot) or 50mm/70mm (for full body) with a shallow depth of field. The subject&amp;#39;s eyes must be perfectly sharp.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: Natural winter daylight supplemented by soft, professional fill light. Gold ornaments and precious stones should have realistic specular highlights without being blown out. Embroidery textures must be incredibly sharp and tactile.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Color Grading: Rich, cinematic colors. The red walls and the attire&amp;#39;s main color must be distinct and clean, not muddy. The overall image should feel deep, textured, and expensive.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Composition: A clean magazine cover layout with deliberate negative space at the top or sides for typography. No torn paper or hand-drawn effects.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【SETTING: FORBIDDEN CITY WINTER】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The location is a red-walled long corridor in the Beijing Forbidden City.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Environment: Visible details include vermilion walls, red pillars, intricate carved windows, and painted wooden beams with strong perspective depth. The scene must be clean: no tourists, modern signs, or watermarks.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Weather Condition (Selected Randomly):
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[If Snowfall selected]: Fine snowflakes are gently falling.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[If Post-Snow selected]: The air is crisp and clear, with remnant snow on the eaves and steps.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;【WARDROBE: MING DYNASTY HEAVY INDUSTRY COUTURE】
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The subject wears opulent, multi-layered Ming Dynasty ceremonial Hanfu. The aesthetic is gold-heavy, dense tassels, phoenix crown, large-area woven gold embroidery, complex layering, dignified and luxurious.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Structure: A visible, crisp white standing inner collar provides a clean boundary. Over this is a structured duijin ao (jacket) with wide sleeves, topped by a heavy xiapei/pibo (stole) structure held by a large central yajin ornament.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Fabric &amp;amp; Craft: The main fabric is real zhijin jin (woven gold brocade) with palpable fiber texture. The embroidery is heavy industry—using panjin goldwork, couched gold
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;杭州西湖旅行海报&#34;&gt;杭州西湖旅行海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/BNBOKBt5/status/2047210189741605082&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/BNBOKBt5&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@BNBOKBt5&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/042.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/042_hu_121803730c1fc8a5.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/042_hu_92d74e842ca118a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;杭州西湖旅行海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;帮我生成一个介绍杭州西湖的海报
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;东方不败武侠角色海报&#34;&gt;东方不败武侠角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047204566559756707&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/043.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/043_hu_f3f496fc67669877.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/043_hu_a9f9996a5ef7415d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;东方不败武侠角色海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;图片1：电影角色海报，东方不败红衣饮酒，悬崖落日，武侠意境
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;图片2：东方不败绣花针如飞，红衣长发立于悬崖，黑木崖夕阳如血
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;大话西游-90-年代港片海报&#34;&gt;大话西游 90 年代港片海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047201597697245252&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/044.webp&#34;
	width=&#34;848&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/044_hu_9b7cbd43d6d2017c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/044_hu_bfba6b6b10add752.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;大话西游 90 年代港片海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;图片1：大话西游海报重制为90年代港片风格，至尊宝紫霞城墙拥吻，胶片颗粒
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;图片2：杜蕾斯吉祥物×猪八戒，八戒害羞脸红遮面，文案取经路上要安全
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;西游记女儿国海报&#34;&gt;西游记女儿国海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/cj858cjsoul/status/2047103956535697822&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/cj858cjsoul&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@cj858cjsoul&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/045.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/045_hu_b530de8d4d6545cd.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/045_hu_a133286d0a68118d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;西游记女儿国海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;西游记女儿国诱惑海报，六位艳丽的女儿国大臣在后宫温泉中，迷雾朦胧妖冶，生成图片
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4.23早上测试成功
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;鹿鼎记角色海报&#34;&gt;鹿鼎记角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/caiziboshi/status/2047091751731519744&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/caiziboshi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@caiziboshi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/046.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/046_hu_d4a2c9eabefe3664.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/046_hu_b867ff1faed1ddbd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;鹿鼎记角色海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成鹿鼎记海报，展现韦小宝跟老婆XXX，忠于原著的描述，夸大特点，强调女性的美艳和男性的气质
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;生成带规格与价格的赛车海报&#34;&gt;生成带规格与价格的赛车海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/verysmallwoods/status/2047033599229137126&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/verysmallwoods&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@verysmallwoods&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/047.webp&#34;
	width=&#34;569&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/047_hu_7f424966b0d91e90.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/047_hu_d8fee19c94371ed7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;生成带规格与价格的赛车海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;47&#34;
		data-flex-basis=&#34;113px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;generate an image of a racing car poster with its spec and pricing
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;卓别林产品海报重设计&#34;&gt;卓别林产品海报重设计
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/chenenpei/status/2046985783715025135&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/chenenpei&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@chenenpei&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/048.webp&#34;
	width=&#34;799&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/048_hu_1d48865872d9a3b4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/048_hu_6819b669cb7910c7.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;卓别林产品海报重设计&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;159px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;重新生成一张海报，卓别林拿着商品图里的止痒膏，面露微笑。风格要简约干净。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;左边是 GPT-image-2 右边是
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华运动服篮球运动员广告海报&#34;&gt;奢华运动服篮球运动员广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Shorelyn_/status/2047949711181832558&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Shorelyn_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Shorelyn_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/049.webp&#34;
	width=&#34;1254&#34;
	height=&#34;1254&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/049_hu_672f777993b43681.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/049_hu_d32a1c4adebdc905.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华运动服篮球运动员广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a premium luxury sportswear campaign poster featuring a confident female athlete in a modern studio environment. Full body pose with strong fashion attitude, standing tall while holding a basketball at her side, chin raised slightly, direct powerful expression. Athletic toned physique, sleek pulled back hair, clean glowing skin, sharp editorial posture.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Outfit includes an oversized cropped varsity jacket, fitted sports bra, tailored biker shorts, white crew socks, and modern high top sneakers. Neutral monochrome styling with subtle premium branding.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background is a clean light gray studio wall with giant bold condensed black typography reading “POWER” stretched vertically across the backdrop behind the model. Text should feel oversized and dominant, framing the athlete in the center.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Floor is glossy reflective studio surface with subtle court markings and soft reflections. A few basketballs placed naturally around the floor for depth and campaign styling.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting is bright luxury studio lighting with crisp highlights, soft shadows, and polished commercial finish. Sharp focus, ultra realistic skin texture, premium fabric texture, cinematic contrast.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style should feel modern, minimal, elite, bold, high fashion sports campaign, luxury brand advertisement, clean composition, balanced negative space, strong visual impact, high resolution, square format.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;亚洲服饰街头时尚广告海报&#34;&gt;亚洲服饰街头时尚广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis/status/2047921293123895520&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@harboriis&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/050.webp&#34;
	width=&#34;1152&#34;
	height=&#34;2048&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/050_hu_906676598a55c4d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/050_hu_758213b443022f5c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;亚洲服饰街头时尚广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;9
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a premium streetwear fashion campaign poster inspired by modern Asian apparel advertising. Full body portrait of a stylish young male model standing confidently with legs crossed at the ankles, hands inside jacket pockets, head turned slightly upward and sideways with a calm thoughtful expression. Curly tousled medium length hair with soft volume. Slim athletic build.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Outfit includes a dark olive green padded hooded jacket worn open, clean white crewneck sweatshirt underneath with a tiny chest logo, relaxed black cargo style trousers, and minimal white sneakers. Styling is clean, youthful, and contemporary.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background is a vibrant electric blue seamless studio backdrop with subtle gradient lighting, soft glow streaks, and glossy floor reflection. Lighting is soft studio light with gentle shadows and polished commercial finish.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Graphic poster layout with giant bold condensed sans serif text reading “JEANSWEST” vertically stretched across the background behind the model in light gray white. Add large text on lower right reading “JW26”. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Composition should feel premium, trendy, clean, commercial, youthful, modern fashion ad campaign. Sharp focus, ultra realistic fabric texture, cinematic lighting, balanced negative space, sleek branding design, high resolution, vertical poster ratio.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;职业生涯高光时刻电影感海报模板&#34;&gt;职业生涯高光时刻电影感海报模板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Goodmanprotocol/status/2047900470921040270&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Goodmanprotocol&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Goodmanprotocol&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/051.webp&#34;
	width=&#34;1122&#34;
	height=&#34;1402&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/051_hu_2f9da72c29fe71be.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/051_hu_84ede77a008103b4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;职业生涯高光时刻电影感海报模板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create an epic poster showcasing the most iconic moments of [Insert Name]&amp;#39;s career. Cinematic style, lens flare. Portrait orientation. A1 poster size. aspect ratio 4:5 https://t.co/L9OHPKUNRp
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;先锋篮球雕塑运动时尚广告&#34;&gt;先锋篮球雕塑运动时尚广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithkhan/status/2047886964037398989&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithkhan&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIwithkhan&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/052.webp&#34;
	width=&#34;1254&#34;
	height=&#34;1254&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/052_hu_e4ef64e0fec4e145.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/052_hu_4ef81fda3ea058a2.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;先锋篮球雕塑运动时尚广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Avant-garde sports fashion advertisement, oversized basketball posed like a monumental sculpture, female athlete reclining across the ball’s curved surface as if modern furniture, giant word “ELEVATE” in bold typography behind, burnt orange studio backdrop, glossy reflective floor, luxury athletic editorial aesthetic, cinematic lighting, ultra-clean composition, 1:1
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;先锋网球拍雕塑运动时尚广告&#34;&gt;先锋网球拍雕塑运动时尚广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSynthia/status/2047884609321619831&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSynthia&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIwithSynthia&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/053.webp&#34;
	width=&#34;1254&#34;
	height=&#34;1254&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/053_hu_be592ae0d8fc17c8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/053_hu_93bbc60441311c05.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;先锋网球拍雕塑运动时尚广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Avant-garde sports fashion advertisement, oversized tennis racket positioned like monumental sculpture, female athlete seated casually on the strings as if a suspended lounge, giant word “PRECISION” in bold typography behind, crisp white studio backdrop, reflective court-like floor, luxury sportswear editorial aesthetic, cinematic lighting, ultra-clean composition, 1:1
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;超现实酒类品牌高级时装海报&#34;&gt;超现实酒类品牌高级时装海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/hmontilla_/status/2047884126343032995&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/hmontilla_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@hmontilla_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038_hu_ff5a247e2a801b2c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/038_hu_4fbacbb1e8c8dfe8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;超现实酒类品牌高级时装海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Un póster publicitario surrealista de alta costura para Aguardiente Amarillo. La escena se sitúa en un estudio minimalista y monocromático de color naranja claro, con un suelo semirreflectante.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;El foco central es una botella de Aguardiente Amarillo de tamaño descomunal y gigante, colocada en ángulo diagonal y que sirve como respaldo. Un modelo masculino de moda, de cabello largo y oscuro, vestido con un conjunto impecable y totalmente blanco —compuesto por una sudadera y pantalones de pierna ancha—, apoya toda su espalda contra la botella gigante en una postura relajada e inclinada. Mira hacia la derecha, de perfil, con la vista al frente y una expresión serena; calza zapatillas blancas de tamaño estándar.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;En el fondo, la palabra &amp;#34;AGUARDIENTE&amp;#34; aparece escrita con una tipografía sans-serif condensada, blanca, masiva y en negrita, parcialmente oculta por la botella gigante y por el modelo para crear una sensación de profundidad. En la esquina superior derecha se lee: &amp;#34;Creado por @HMontilla_&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;En la parte inferior central, una frase publicitaria en tipografía sans-serif blanca reza: &amp;#34;El Aguardiente Amarillo de Manzanares es un icónico licor colombiano, originario de 1885 en Manzanares, Caldas&amp;#34;. La iluminación es suave, fría y uniforme, proyectando sombras tenues y un reflejo sutil de los sujetos sobre el suelo azul brillante. La estética general es limpia, moderna y de alto concepto.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Establecer la relación de aspecto en 3:4.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;高端食谱海报优雅版式&#34;&gt;高端食谱海报优雅版式
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Preda2005/status/2047883394152088004&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Preda2005&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Preda2005&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/054.webp&#34;
	width=&#34;1366&#34;
	height=&#34;2048&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/054_hu_4c7931fba65879d6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/054_hu_803c37bfc869f6dc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;高端食谱海报优雅版式&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a premium food preparation poster for
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt; [ DISH NAME ], with a beautiful hero dish, warm natural lighting, cream background, elegant step-by-step recipe layout, ingredients, cooking process, premium food photography, refined English typography, luxury restaurant advertisement style, clean design, rich colors, highly detailed, visually irresistible, cinematic masterpiece.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;黑白奢华时尚杂志封面&#34;&gt;黑白奢华时尚杂志封面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/iamrealsnow/status/2047883187527856345&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/iamrealsnow&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@iamrealsnow&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/055.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1536&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/055_hu_bbe14247cc60a4e5.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/055_hu_94215ca614388d4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;黑白奢华时尚杂志封面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a high fashion editorial magazine cover inspired by luxury fashion publications. Use the reference image of the male subject. Black and white portrait photography with a clean off white studio background. Subject is posed confidently from a low angle, looking slightly upward, sharp jawline, soft parted lips, tousled wavy hair with natural volume. Outfit includes a dark turtleneck layered under a textured tailored plaid blazer. Lighting is soft yet dramatic, creating sculpted facial shadows and elegant contrast.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Magazine layout design with oversized serif masthead text at the top reading “VOGUE”, partially hidden behind the subject’s head. Minimal premium typography across the page. Add side text “FASHION”, issue date “2026 MAY”, left side headline “27 DIFFERENT STYLES”, and bold bottom right cover line “LOOK FAMOUS”. Include a small red translucent square overlay on one eye area with the word “CATCHY”.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style should feel premium, modern, cinematic, clean composition, sharp focus, ultra realistic skin texture, editorial luxury aesthetic, balanced negative space, timeless fashion cover design. Vertical magazine ratio, high resolution.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;超现实-rolex-奢华腕表时尚海报&#34;&gt;超现实 Rolex 奢华腕表时尚海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Sheldon056/status/2047873913049538927&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Sheldon056&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Sheldon056&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/056.webp&#34;
	width=&#34;1086&#34;
	height=&#34;1448&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/056_hu_f062a2ae9ecc796.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/056_hu_6b8f3f5827776d86.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;超现实 Rolex 奢华腕表时尚海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-fashion surrealist poster for Rolex. A deep emerald green minimalist studio with a polished reflective floor. A massive Rolex watch stands upright like a monument. A male model in a tailored dark green suit leans casually against the watch face, wearing a matching Rolex.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;孔雀植物复古对称艺术画&#34;&gt;孔雀植物复古对称艺术画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/dotey/status/2047803054422901046&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/dotey&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@dotey&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/057.webp&#34;
	width=&#34;1536&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/057_hu_1d9e0402fbb0405e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/057_hu_9a4124b40f74310f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;孔雀植物复古对称艺术画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;symmetrical design featuring two elegant blue peacocks with detailed feather patterns, surrounded by blue floral elements, intricate vintage botanical ornament, soft beige background, classical floral decor style with rich navy and sky blue details, decorative art illustration --ar 3:2
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;splash-时尚品牌超写实广告海报&#34;&gt;SPLASH 时尚品牌超写实广告海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/miratechtool/status/2047780974709346606&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/miratechtool&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@miratechtool&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/058.webp&#34;
	width=&#34;1054&#34;
	height=&#34;1492&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/058_hu_7b524443874af7f8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/058_hu_5c9db5a9d7637f12.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;SPLASH 时尚品牌超写实广告海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a hyper-realistic fashion poster for “SPLASH” featuring the same girl from the reference image (keep her face 100% identical). She is sitting confidently on a glossy, liquid-style 3D SPLASH logo with water splash effects. One leg relaxed, one bent, strong editorial pose.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background has massive bold “SPLASH” text filling the frame, partially behind her. Add small tagline: “Own Your Style.”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Outfit: modern black street-fashion (blazer, fitted top, trousers, sneakers).
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: cinematic studio, soft key light + rim light, reflective highlights on liquid logo.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: luxury brand campaign (Zara / H&amp;amp;M), clean glossy environment.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Camera: 85mm lens, shallow depth of field, 8K, ultra-detailed, photorealistic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;先锋吉他雕塑时尚广告&#34;&gt;先锋吉他雕塑时尚广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/QamarRiaz1/status/2047777016733110722&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/QamarRiaz1&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@QamarRiaz1&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/059.webp&#34;
	width=&#34;1448&#34;
	height=&#34;1086&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/059_hu_9ce332a29f23dd91.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/059_hu_59f9454b2ce4155b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;先锋吉他雕塑时尚广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Avant-garde fashion advertisement, oversized guitar positioned like sculpture, a guitarist in jeans casually seated on the a button as if furniture, giant word &amp;#34;Plism Art&amp;#34; behind in bold white typography, powder pastel studio background, reflective floor, luxury eyewear campaign aesthetic, ultra-clean layout, editorial magazine styling, Bold quote &amp;#34; What are you listening&amp;#34;   Tag : Create Own Change
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;城市美食地图插画&#34;&gt;城市美食地图插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mm_zzm44854/status/2045861258520568230&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mm_zzm44854&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mm_zzm44854&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/060.webp&#34;
	width=&#34;1080&#34;
	height=&#34;1080&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/060_hu_e1522261822e773e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/060_hu_3a266ee6d774e351.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;城市美食地图插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;illustrated map infographic&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;style&amp;#34;: &amp;#34;{argument name=\&amp;#34;art style\&amp;#34; default=\&amp;#34;watercolor and ink hand-drawn illustration on vintage parchment\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;title_section&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;text&amp;#34;: &amp;#34;{argument name=\&amp;#34;city name\&amp;#34; default=\&amp;#34;成都\&amp;#34;} {argument name=\&amp;#34;map title\&amp;#34; default=\&amp;#34;吃货暴走地图\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;mascot&amp;#34;: &amp;#34;cartoon red chili pepper wearing sunglasses and giving a thumbs up&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;border&amp;#34;: &amp;#34;{argument name=\&amp;#34;border decoration\&amp;#34; default=\&amp;#34;vine of green leaves and red chili peppers\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;background&amp;#34;: &amp;#34;textured beige parchment paper with yellow roads, blue rivers, and green park areas&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;sections&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;landmarks&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;count&amp;#34;: 6,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;illustrations&amp;#34;: [&amp;#34;traditional pavilion&amp;#34;, &amp;#34;traditional monastery&amp;#34;, &amp;#34;modern skyscraper with climbing panda&amp;#34;, &amp;#34;tall TV tower&amp;#34;, &amp;#34;traditional gate&amp;#34;, &amp;#34;industrial buildings&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;labels&amp;#34;: [&amp;#34;人民公园&amp;#34;, &amp;#34;文殊院&amp;#34;, &amp;#34;IFS&amp;#34;, &amp;#34;339电视塔&amp;#34;, &amp;#34;宽窄巷子&amp;#34;, &amp;#34;东郊记忆&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;food_spots&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;count&amp;#34;: 12,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;illustrations&amp;#34;: [&amp;#34;mapo tofu&amp;#34;, &amp;#34;dumplings in chili oil&amp;#34;, &amp;#34;skewers in pot&amp;#34;, &amp;#34;sticky rice balls&amp;#34;, &amp;#34;egg baking cake&amp;#34;, &amp;#34;nine-grid hotpot&amp;#34;, &amp;#34;sweet potato noodles&amp;#34;, &amp;#34;cold skewers&amp;#34;, &amp;#34;spicy mixed dish&amp;#34;, &amp;#34;covered tea bowl&amp;#34;, &amp;#34;ice jelly dessert&amp;#34;, &amp;#34;spicy rabbit heads&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;labels&amp;#34;: [&amp;#34;1 陈麻婆豆腐&amp;#34;, &amp;#34;2 钟水饺&amp;#34;, &amp;#34;3 春熙路&amp;#34;, &amp;#34;4 宽窄巷子·三大炮&amp;#34;, &amp;#34;5 建设路·叶婆婆蛋烘糕&amp;#34;, &amp;#34;6 玉林路·小龙坎火锅&amp;#34;, &amp;#34;7 香香巷·肥肠粉&amp;#34;, &amp;#34;8 武侯祠大街·钵钵鸡&amp;#34;, &amp;#34;9 东郊记忆·冒椒火辣&amp;#34;, &amp;#34;10 人民公园·鹤鸣茶社&amp;#34;, &amp;#34;11 锦里古街·冰粉&amp;#34;, &amp;#34;12 双流老妈兔头&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;图例&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;bottom-right&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;count&amp;#34;: 5,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;items&amp;#34;: [&amp;#34;red dot&amp;#34;, &amp;#34;green house&amp;#34;, &amp;#34;green tree&amp;#34;, &amp;#34;blue line&amp;#34;, &amp;#34;yellow double line&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;labels&amp;#34;: [&amp;#34;美食地点&amp;#34;, &amp;#34;地标景点&amp;#34;, &amp;#34;公园绿地&amp;#34;, &amp;#34;河流湖泊&amp;#34;, &amp;#34;主要道路&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;centerpiece&amp;#34;: &amp;#34;giant panda sitting and eating bamboo&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;bottom_right_extras&amp;#34;: [&amp;#34;vintage compass rose with N, S, E, W&amp;#34;, &amp;#34;disclaimer text &amp;#39;温馨提示:吃辣需谨慎,肠胃要保护~&amp;#39; with a red chili pepper icon&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;3d-石阶演变信息图&#34;&gt;3D 石阶演变信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/GeekCatX/status/2045792240044511277&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/GeekCatX&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@GeekCatX&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/061.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/061_hu_11d526a0273d47c5.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/061_hu_fc07f266c625fe79.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;3D 石阶演变信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;34
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;35
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;36
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;37
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;38
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;39
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;40
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;41
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;type&amp;#34;: &amp;#34;evolutionary timeline infographic&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;instruction&amp;#34;: &amp;#34;Using REFERENCE_0 as a structural base, transform the flat vector design into a highly realistic 3D infographic. Replace the smooth ramps with distinct stone steps and upgrade all organisms to photorealistic 3D models.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;style&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;background&amp;#34;: &amp;#34;{argument name=\&amp;#34;background style\&amp;#34; default=\&amp;#34;vintage textured parchment paper\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;staircase&amp;#34;: &amp;#34;{argument name=\&amp;#34;staircase material\&amp;#34; default=\&amp;#34;realistic textured stone blocks\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;subjects&amp;#34;: &amp;#34;{argument name=\&amp;#34;organism style\&amp;#34; default=\&amp;#34;highly detailed photorealistic 3D renders\&amp;#34;}&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;main_title&amp;#34;: &amp;#34;{argument name=\&amp;#34;main title\&amp;#34; default=\&amp;#34;人类演化\&amp;#34;}&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;sections&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;left sidebar&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;count&amp;#34;: 8,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;labels&amp;#34;: [&amp;#34;L0: 单细胞生命&amp;#34;, &amp;#34;L1: 多细胞生物&amp;#34;, &amp;#34;L2: 动物界&amp;#34;, &amp;#34;L3: 脊索动物&amp;#34;, &amp;#34;L4: 上陆革命&amp;#34;, &amp;#34;L5: 哺乳纲&amp;#34;, &amp;#34;L6: 人科演化&amp;#34;, &amp;#34;L7: 智人纪元&amp;#34;]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;top right&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;获得的功能 / 失去的功能&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;description&amp;#34;: &amp;#34;Legend with plus and minus icons&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;position&amp;#34;: &amp;#34;bottom center&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;title&amp;#34;: &amp;#34;演化关键里程碑&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;count&amp;#34;: 6,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;description&amp;#34;: &amp;#34;Timeline with a silhouette graphic of 6 figures showing ape-to-human evolution&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ],
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;centerpiece&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;description&amp;#34;: &amp;#34;Winding stone staircase with 25 numbered steps featuring specific organisms.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;count&amp;#34;: 25,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;notable_elements&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Step 07: Jellyfish&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Step 09: Ammonite&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Step 10: Trilobite&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Step 24: Walking human&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &amp;#34;Step 25: {argument name=\&amp;#34;future evolution concept\&amp;#34; default=\&amp;#34;glowing cosmic silhouette with a question mark\&amp;#34;}&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;仿生-skyray-飞机海报&#34;&gt;仿生 Skyray 飞机海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/_simonsmith/status/2048172203946996041&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/_simonsmith&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@_simonsmith&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/062.webp&#34;
	width=&#34;569&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/062_hu_531e35a6a1142002.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/062_hu_33b717ad1d5e51b6.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;仿生 Skyray 飞机海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;47&#34;
		data-flex-basis=&#34;113px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;biomimetic aerospace concept poster&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;vehicle&amp;#34;:&amp;#34;futuristic aircraft concept&amp;#34;,&amp;#34;name&amp;#34;:&amp;#34;{argument name=\&amp;#34;vehicle name\&amp;#34; default=\&amp;#34;SKYRAY\&amp;#34;}&amp;#34;,&amp;#34;inspiration&amp;#34;:&amp;#34;{argument name=\&amp;#34;animal inspiration\&amp;#34; default=\&amp;#34;stingray\&amp;#34;}&amp;#34;,&amp;#34;design&amp;#34;:&amp;#34;blended-wing-body aircraft shaped like a manta ray or stingray, wide triangular planform, smooth organic curves, sharp pointed nose, slightly raised central spine, tapered wing tips curling subtly upward, dark graphite-black metallic skin with fine panel lines and faint blue illuminated accents along edges and seams&amp;#34;},&amp;#34;style&amp;#34;:{&amp;#34;mood&amp;#34;:&amp;#34;premium futuristic industrial design presentation&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;hyper-detailed cinematic 3D concept art mixed with blueprint visualization&amp;#34;,&amp;#34;color_palette&amp;#34;:&amp;#34;black, charcoal, gunmetal, silver, deep ocean blue, electric cyan highlights&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;low-key dramatic studio lighting with glossy reflections, cool rim light, subtle underwater ambience in the top inspiration strip&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;background&amp;#34;:&amp;#34;full black poster with faint technical grid lines and soft vignetting&amp;#34;,&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;header&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top&amp;#34;,&amp;#34;count&amp;#34;:3,&amp;#34;labels&amp;#34;:[&amp;#34;emblem mark&amp;#34;,&amp;#34;SKYRAY&amp;#34;,&amp;#34;INSPIRED BY THE SEA. ENGINEERED FOR THE SKY.&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;evolution strip&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper middle&amp;#34;,&amp;#34;count&amp;#34;:5,&amp;#34;labels&amp;#34;:[&amp;#34;realistic stingray underwater at far left&amp;#34;,&amp;#34;top-view biological stingray study&amp;#34;,&amp;#34;abstract aerodynamic line sketch&amp;#34;,&amp;#34;faceted aircraft blueprint transition drawing&amp;#34;,&amp;#34;final sleek aircraft concept at far right&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;hero render&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;center&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;large three-quarter view of the aircraft&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;technical views grid&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower middle&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;TOP&amp;#34;,&amp;#34;SIDE&amp;#34;,&amp;#34;FRONT&amp;#34;,&amp;#34;REAR&amp;#34;,&amp;#34;UNDERSIDE&amp;#34;,&amp;#34;DETAIL&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;footer text&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;{argument name=\&amp;#34;body text\&amp;#34; default=\&amp;#34;A biomimetic high-speed aircraft concept shaped by the hydrodynamic elegance of the stingray. Its blended wing body, low-drag silhouette, and fluid control surfaces translate ocean-born efficiency into atmospheric performance.\&amp;#34;}&amp;#34;]}],&amp;#34;technical views&amp;#34;:{&amp;#34;TOP&amp;#34;:&amp;#34;top orthographic view with measurement ticks&amp;#34;,&amp;#34;SIDE&amp;#34;:&amp;#34;thin side profile with long smooth belly curve&amp;#34;,&amp;#34;FRONT&amp;#34;:&amp;#34;front orthographic view emphasizing broad wingspan and central cockpit hump&amp;#34;,&amp;#34;REAR&amp;#34;:&amp;#34;rear orthographic view showing narrow tail end and wing sweep&amp;#34;,&amp;#34;UNDERSIDE&amp;#34;:&amp;#34;underside three-quarter view&amp;#34;,&amp;#34;DETAIL&amp;#34;:&amp;#34;close-up crop of metallic skin, seam lines, and glowing blue edge strip&amp;#34;}},&amp;#34;graphics&amp;#34;:{&amp;#34;logo&amp;#34;:&amp;#34;minimal four-point symmetrical emblem above title, resembling a stylized ray silhouette&amp;#34;,&amp;#34;arrows&amp;#34;:&amp;#34;4 thin cyan arrows connecting the 5 stages in the evolution strip&amp;#34;,&amp;#34;typography&amp;#34;:&amp;#34;widely spaced modern sans-serif uppercase text, clean luxury-tech branding&amp;#34;},&amp;#34;camera&amp;#34;:{&amp;#34;hero render&amp;#34;:&amp;#34;slightly elevated front-left three-quarter angle&amp;#34;,&amp;#34;technical views&amp;#34;:&amp;#34;orthographic&amp;#34;,&amp;#34;inspiration image&amp;#34;:&amp;#34;underwater side angle with light rays from above&amp;#34;},&amp;#34;quality&amp;#34;:&amp;#34;ultra-clean, polished, high contrast, sharp, poster-ready, concept design board for aerospace branding or speculative industrial design&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;道教三魂七魄海报&#34;&gt;道教三魂七魄海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/leyu37829/status/2048125950681075833&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/leyu37829&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@leyu37829&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/063.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/063_hu_c232614ef0c677ad.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/063_hu_98a733b8e5499d36.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A highly detailed vertical Taoist esoteric infographic poster in the style of an ancient Chinese religious scroll, printed on aged beige rice paper with fine ornamental borders, inked calligraphy, faded stains, and classical diagram annotations. At the top center, large black brush-calligraphy title text reads {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;道·三魂七魄&amp;#34;}. Directly below the title is a smaller paragraph of classical Chinese explanatory text in neat calligraphy. The composition is perfectly symmetrical and centered on a glowing vertical spiritual axis made of white-gold energy, mist, and lightning-like qi currents running from the bottom of the page to the heavens. At the very top, above the axis, depict 3 seated Taoist immortals or deities on clouds in a golden celestial realm, arranged left, center, and right, with halos and flowing robes in muted green, cream, and blue. Beneath them, create a towering multi-layered cosmological body diagram made of 9 stacked circular realms or platforms connected by swirling clouds and luminous energy. The upper 5 larger realms represent the five zang organs as miniature mythic landscapes: 1 forested green realm labeled liver/wood, 1 fiery red-gold temple city realm labeled heart/fire, 1 yellow earth realm with terraces labeled spleen/earth, 1 silver-blue mountain-and-water realm labeled lung/metal, and 1 dark blue watery abyss realm labeled kidney/water. Place a glowing meditating figure in a bright orb at the center junction between the upper organ realms and lower spirit layers. Below these, add 7 progressively darker circular underworld-like realms for the seven po souls, each densely populated with tiny scenes of human figures, spirits, beasts, ritual activity, suffering, temptation, conflict, and karmic symbolism, all wrapped by drifting smoke and energy ribbons. At the very bottom, show a seated human figure in meditation within a root-like cavern or corporeal foundation, surrounded by chains, rocks, and embodied worldly attachments. Around the central column, include exactly 9 labeled side panels and diagrams in traditional Chinese layout: top left a bagua and yin-yang cosmology circle; top right a dotted numerological or constellation-like chart; left upper a boxed list for 3 souls; right upper a boxed list for 7 po souls; left middle a five-elements relationship diagram with 5 colored nodes; right middle a circular essence-qi-spirit cycle diagram with 3 nodes; left lower a vertical boxed list of 7 categories or stages; right lower a boxed correspondence table; bottom left a five-direction and five-element human-body relation chart; bottom right a standing and seated meridian or cultivation body diagram. Use many small Chinese labels throughout every section, with classical seal stamps in red. The overall palette is antique parchment, sepia ink, muted jade, cinnabar red, smoky gray, gold, teal, and indigo. The style should feel like a museum-quality Daoist metaphysical chart, ultra intricate, hand-painted gongbi plus ink wash illustration, sacred, mystical, scholarly, dense with symbolism, extremely fine linework, soft cloud layering, and high-resolution poster design.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;复古-claude-shannon-信息图海报&#34;&gt;复古 Claude Shannon 信息图海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mob_17/status/2048118645017219381&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mob_17&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mob_17&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/064.webp&#34;
	width=&#34;1200&#34;
	height=&#34;849&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/064_hu_76812c0cd0392b65.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/064_hu_362a7a69ff76f1c3.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;复古 Claude Shannon 信息图海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;141&#34;
		data-flex-basis=&#34;339px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;vintage editorial infographic poster&amp;#34;,&amp;#34;subject&amp;#34;:&amp;#34;Claude Shannon and information theory&amp;#34;,&amp;#34;style&amp;#34;:{&amp;#34;era&amp;#34;:&amp;#34;1940s Bell Labs archival poster&amp;#34;,&amp;#34;look&amp;#34;:&amp;#34;aged cream paper, blueprint drafting grid, thin ink linework, muted navy and charcoal printing, subtle stains and paper wear, technical illustration mixed with newspaper editorial design&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;high-detail diagrammatic collage with engraved portrait, scientific charts, labeled panels, and hand-drawn signal graphics&amp;#34;},&amp;#34;poster&amp;#34;:{&amp;#34;headline&amp;#34;:&amp;#34;Claude Shannon — The Architecture of Information&amp;#34;,&amp;#34;subheadline&amp;#34;:&amp;#34;How uncertainty became measurable, and communication became engineering.&amp;#34;,&amp;#34;topRightMeta&amp;#34;:{&amp;#34;note&amp;#34;:&amp;#34;NOTE TOSELF No. 6713–2&amp;#34;,&amp;#34;date&amp;#34;:&amp;#34;MAY 1948&amp;#34;,&amp;#34;subject&amp;#34;:&amp;#34;A Mathematical Theory of Communication&amp;#34;}},&amp;#34;layout&amp;#34;:{&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;left archival sidebar&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;far left vertical column&amp;#34;,&amp;#34;count&amp;#34;:5,&amp;#34;labels&amp;#34;:[&amp;#34;BELL LABORATORIES MURRAY HILL, N.J.&amp;#34;,&amp;#34;ENGINEERING THE INTANGIBLE&amp;#34;,&amp;#34;CLAUDE E. SHANNON 1916–2001&amp;#34;,&amp;#34;TOOLS OF THE INFORMATION AGE&amp;#34;,&amp;#34;quote panel&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;THE COMMUNICATION MODEL&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper middle wide panel&amp;#34;,&amp;#34;count&amp;#34;:5,&amp;#34;labels&amp;#34;:[&amp;#34;1 INFORMATION SOURCE&amp;#34;,&amp;#34;2 ENCODER&amp;#34;,&amp;#34;3 CHANNEL&amp;#34;,&amp;#34;4 DECODER&amp;#34;,&amp;#34;5 DESTINATION&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;ENTROPY: THE MEASURE OF UNCERTAINTY&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper right box&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;H(X) = −Σ p(x) log2 p(x)&amp;#34;,&amp;#34;PROBABILITY DISTRIBUTION p(x)&amp;#34;,&amp;#34;MORE EVEN MORE MAXED UNCERTAINTY&amp;#34;,&amp;#34;MORE LOPSIDED LESS UNCERTAINTY&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;lower theory panels&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;middle to lower band&amp;#34;,&amp;#34;count&amp;#34;:3,&amp;#34;labels&amp;#34;:[&amp;#34;A ENTROPY — uncertainty before a message is known&amp;#34;,&amp;#34;B NOISE — randomness that corrupts transmission&amp;#34;,&amp;#34;C Redundancy &amp;amp; Error Correction — structure added so signals can survive failure&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;THEORY THAT TRANSFORMED CIVILIZATION&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom horizontal timeline&amp;#34;,&amp;#34;count&amp;#34;:8,&amp;#34;labels&amp;#34;:[&amp;#34;1840s TELEGRAPHY&amp;#34;,&amp;#34;1876+ TELEPHONE NETWORKS&amp;#34;,&amp;#34;1930s–40s DIGITAL COMPUTERS&amp;#34;,&amp;#34;1950s–60s SATELLITE COMMUNICATION&amp;#34;,&amp;#34;1970s INTERNET PROTOCOLS&amp;#34;,&amp;#34;1980s–90s DATA COMPRESSION&amp;#34;,&amp;#34;1990s–2000s CRYPTOGRAPHY&amp;#34;,&amp;#34;2010s+ AI &amp;amp; INFORMATION SYSTEMS&amp;#34;]}],&amp;#34;centerpiece&amp;#34;:&amp;#34;a large abstract cloud of blue and gray signal noise, dots, lines, and waveforms behind the communication model, with arrows moving left to right through the five stages&amp;#34;},&amp;#34;visualElements&amp;#34;:{&amp;#34;portrait&amp;#34;:{&amp;#34;subject&amp;#34;:&amp;#34;{argument name=\&amp;#34;scientist name\&amp;#34; default=\&amp;#34;Claude Shannon\&amp;#34;}&amp;#34;,&amp;#34;placement&amp;#34;:&amp;#34;left-center&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;black-and-white archival seated portrait at a desk with the face intentionally obscured by a pale square censor block, wearing suit and tie, writing on paper&amp;#34;},&amp;#34;objectsLeft&amp;#34;:[&amp;#34;rotary telephone on desk&amp;#34;,&amp;#34;open notebook or papers&amp;#34;,&amp;#34;technical console with CRT screen and knobs behind portrait&amp;#34;,&amp;#34;small icon row of 4 tools: oscilloscope, signal meter, relay, punched tape&amp;#34;],&amp;#34;communicationModel&amp;#34;:[&amp;#34;book and symbols under source&amp;#34;,&amp;#34;binary digits under encoder&amp;#34;,&amp;#34;large noisy channel cloud with wave overlays&amp;#34;,&amp;#34;binary digits and interpretation under decoder&amp;#34;,&amp;#34;light bulb icon under destination&amp;#34;],&amp;#34;chartsAndDiagrams&amp;#34;:[&amp;#34;bar chart for entropy probabilities&amp;#34;,&amp;#34;two low vs high entropy mini bar charts&amp;#34;,&amp;#34;tree diagram and entropy notation&amp;#34;,&amp;#34;signal distortion sketches labeled thermal noise, cross talk, distortion&amp;#34;,&amp;#34;error-correction binary pipeline from original message to recovered message&amp;#34;],&amp;#34;bottomDecor&amp;#34;:[&amp;#34;small waveform legend with sine wave, digital signal, and noise&amp;#34;,&amp;#34;archival stamp or footer on lower right&amp;#34;]},&amp;#34;color&amp;#34;:{&amp;#34;background&amp;#34;:&amp;#34;warm ivory paper&amp;#34;,&amp;#34;primaryInk&amp;#34;:&amp;#34;dark navy&amp;#34;,&amp;#34;secondaryInk&amp;#34;:&amp;#34;charcoal gray&amp;#34;,&amp;#34;accent&amp;#34;:&amp;#34;faded steel blue&amp;#34;},&amp;#34;composition&amp;#34;:&amp;#34;symmetrical wide poster with dense boxed annotations, fine border lines, and a museum-quality educational infographic feel&amp;#34;,&amp;#34;textDensity&amp;#34;:&amp;#34;very high, with many small labels, formulas, captions, and historical notes in a carefully organized grid&amp;#34;,&amp;#34;aspectRatio&amp;#34;:&amp;#34;16:9 landscape&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;郑问致敬水墨海报&#34;&gt;郑问致敬水墨海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mob_17/status/2048118645017219381&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mob_17&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mob_17&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/065.webp&#34;
	width=&#34;849&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/065_hu_7220895371d0d86.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/065_hu_969f4ee59faccfd2.webp 1024w&#34;
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		alt=&#34;郑问致敬水墨海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a vintage editorial poster on aged rice paper celebrating {argument name=&amp;#34;artist name&amp;#34; default=&amp;#34;CHEN UEN&amp;#34;}, designed like a museum infographic mixed with Chinese ink wash illustration and calligraphy. The format is a single vertically oriented poster with a weathered parchment background, ink splatters, faded handwritten annotations, red seal stamps, and a scholarly, archival atmosphere. At the very top, place large black Chinese calligraphy for the name 鄭問, followed by a slash and the romanized name {argument name=&amp;#34;romanized name&amp;#34; default=&amp;#34;CHEN UEN&amp;#34;} in large serif capitals, with a small red seal beside it. Under the title, add the subtitle {argument name=&amp;#34;subtitle text&amp;#34; default=&amp;#34;The Taiwanese Master Who Turned Comics into Ink-Born Epic&amp;#34;} in elegant reddish-brown serif text. In the center, feature a dramatic painterly scene of 1 seated male artist in a loose white shirt at a desk, holding a brush over paper, his face intentionally obscured by a soft rectangular blur. Behind him, surround him with a swirling halo-like storm of monochrome ink-brush warriors and historical figures: exact count 9 visible character figures, including armored generals, swordsmen, and mounted riders, emerging from explosive black brushwork and smoke-like ink textures. On the left side, create a vertical section titled “Life &amp;amp; Milestones” with a black brushstroke header and smaller Chinese subtitle text. List exactly 6 timeline entries with red year markers and bilingual captions: 1958 born in Taiwan, 1983 Warrior Panther, 1989 Abi Sword, 1990 Heroes of the Eastern Zhou, 1991 Japan Cartoonists Association Award, 2017 legacy continues. Below that, add a small section titled “Ink in Detail” containing exactly 4 boxed brush studies labeled with short English captions: Dry brush texture, Ink wash gradient, Splatter energy, Bold contour line. On the right side, create a vertical section titled “Visual Method” with a black brushstroke header and smaller Chinese subtitle text. Include exactly 5 stacked boxed studies with image-and-caption layout: Brush as blade, Ink as atmosphere, Anatomy as fate, History as theatre, Speed lines become calligraphy. In the lower center, create a section titled “Major Works Constellation” with a dark brushstroke heading. Arrange exactly 5 circular work nodes around a central ink ring with Chinese calligraphy inside. Label the 5 nodes: Abi Sword, Heroes of the Eastern Zhou, Assassin Biographies, Magical Super Asia, Game character design legacy. Each circle contains a distinct monochrome or muted-color ink illustration, with subtle connecting marks like a constellation diagram. At the lower right, add a section titled “Studio Notes” containing exactly 6 visible objects: 4 hanging calligraphy brushes, 1 ink bowl, and 1 painter’s palette with blue and red pigment; beneath them place a sketchbook page with light pencil figure studies. Across the bottom, add a wide section titled “Why He Matters” with a black brushstroke header and smaller Chinese subtitle text, followed by a paragraph of serif body text in English describing his importance to comics, painting, calligraphy, cinema, and epic storytelling. Use a restrained palette of sepia, black ink, off-white paper, muted gray, with small accents of deep red and occasional blue. The whole image should feel like a refined cultural tribute poster, dense but balanced, highly detailed, painterly, and authentic to Chinese ink aesthetics.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;水象星座角色海报&#34;&gt;水象星座角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia/status/2048114825398731143&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@komorimedia&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/066.webp&#34;
	width=&#34;848&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/066_hu_fa9b9087f2064039.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/066_hu_d08b612af3d235a1.webp 1024w&#34;
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		alt=&#34;水象星座角色海报&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;Chinese zodiac-style character infographic poster&amp;#34;,&amp;#34;subject&amp;#34;:&amp;#34;twelve zodiac character list, water signs edition&amp;#34;,&amp;#34;language&amp;#34;:&amp;#34;Traditional Chinese&amp;#34;,&amp;#34;format&amp;#34;:&amp;#34;vertical poster&amp;#34;,&amp;#34;style&amp;#34;:{&amp;#34;overall&amp;#34;:&amp;#34;elegant anime-inspired character catalog with editorial infographic layout&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;soft polished digital illustration, pastel gradients, delicate sparkles, ornamental border design&amp;#34;,&amp;#34;mood&amp;#34;:&amp;#34;dreamy, celestial, refined, feminine, aquatic&amp;#34;},&amp;#34;canvas&amp;#34;:{&amp;#34;aspect_ratio&amp;#34;:&amp;#34;2:3&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;very light pearl white with pale blue-lavender tint, subtle texture, thin decorative frame with filigree corners and tiny stars&amp;#34;},&amp;#34;header&amp;#34;:{&amp;#34;title&amp;#34;:&amp;#34;{argument name=\&amp;#34;headline text\&amp;#34; default=\&amp;#34;十二星座角色清單|水象星座\&amp;#34;}&amp;#34;,&amp;#34;subtitle&amp;#34;:&amp;#34;感受・直覺・共鳴&amp;#34;,&amp;#34;icons&amp;#34;:[&amp;#34;small stars&amp;#34;,&amp;#34;water droplet emblem in top right&amp;#34;,&amp;#34;curled cloud-like line art in top left&amp;#34;]},&amp;#34;layout&amp;#34;:{&amp;#34;sections_count&amp;#34;:3,&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;巨蟹座 Cancer&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top panel&amp;#34;,&amp;#34;theme_color&amp;#34;:&amp;#34;powder blue&amp;#34;,&amp;#34;zodiac_symbol&amp;#34;:&amp;#34;Cancer glyph inside circle at left&amp;#34;,&amp;#34;constellation&amp;#34;:&amp;#34;Cancer constellation at upper right&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;元素:水&amp;#34;,&amp;#34;概念:情感守護者,把人放在心上&amp;#34;,&amp;#34;性格:溫柔、敏感、顧家&amp;#34;,&amp;#34;行動原則:先確認感受,再保護重要的人&amp;#34;,&amp;#34;戀愛傾向:慢慢靠近,越熟越黏&amp;#34;,&amp;#34;人際怪癖:嘴上說沒事,實際會記很久&amp;#34;],&amp;#34;character&amp;#34;:{&amp;#34;identity&amp;#34;:&amp;#34;same young woman model reimagined as zodiac character&amp;#34;,&amp;#34;pose&amp;#34;:&amp;#34;half-body portrait, facing forward, arms gently wrapped around a large seashell pillow&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;long dark hair in a low ponytail&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;light blue celestial slip dress with lace trim and sheer cardigan embroidered with stars and moons&amp;#34;,&amp;#34;accessories&amp;#34;:&amp;#34;minimal jewelry&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;soft blue night sky with crescent moon, seashell, sparkling stars, stylized ocean wave and tiny water droplets&amp;#34;}},{&amp;#34;title&amp;#34;:&amp;#34;天蠍座 Scorpio&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;middle panel&amp;#34;,&amp;#34;theme_color&amp;#34;:&amp;#34;deep violet&amp;#34;,&amp;#34;zodiac_symbol&amp;#34;:&amp;#34;Scorpio glyph inside circle at left&amp;#34;,&amp;#34;constellation&amp;#34;:&amp;#34;Scorpio constellation at upper right&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;元素:水&amp;#34;,&amp;#34;概念:深海偵察者,情緒有深度&amp;#34;,&amp;#34;性格:專注、神秘、意志強&amp;#34;,&amp;#34;行動原則:先觀察,再一擊到位&amp;#34;,&amp;#34;戀愛傾向:愛得深,重忠誠與獨占感&amp;#34;,&amp;#34;人際怪癖:越在乎越不說,會偷偷試探&amp;#34;],&amp;#34;character&amp;#34;:{&amp;#34;identity&amp;#34;:&amp;#34;same young woman model reimagined as zodiac character&amp;#34;,&amp;#34;pose&amp;#34;:&amp;#34;half-body portrait, one hand near chin in a composed, enigmatic gesture&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;long dark ponytail&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;black semi-sheer dress with gothic details and a dark plum off-shoulder shawl&amp;#34;,&amp;#34;accessories&amp;#34;:&amp;#34;dangling earrings and layered necklace&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;dark purple celestial sea scene with crescent moon, bubbles, stars, and curling misty water shapes&amp;#34;}},{&amp;#34;title&amp;#34;:&amp;#34;雙魚座 Pisces&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom panel&amp;#34;,&amp;#34;theme_color&amp;#34;:&amp;#34;lavender&amp;#34;,&amp;#34;zodiac_symbol&amp;#34;:&amp;#34;Pisces glyph inside circle at left&amp;#34;,&amp;#34;constellation&amp;#34;:&amp;#34;Pisces constellation at upper right&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;元素:水&amp;#34;,&amp;#34;概念:夢境共感者,靠直覺導航&amp;#34;,&amp;#34;性格:浪漫、柔軟、有想像力&amp;#34;,&amp;#34;行動原則:先感受,再順流找答案&amp;#34;,&amp;#34;戀愛傾向:容易心動,渴望靈魂陪伴&amp;#34;,&amp;#34;人際怪癖:常把別人的情緒也一起感受&amp;#34;],&amp;#34;character&amp;#34;:{&amp;#34;identity&amp;#34;:&amp;#34;same young woman model reimagined as zodiac character&amp;#34;,&amp;#34;pose&amp;#34;:&amp;#34;half-body portrait, one hand lifted as if balancing floating bubbles, other hand resting lightly at chest&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;long dark ponytail with a pale flower hair ornament&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;translucent lavender fantasy dress with soft draped sleeves and shimmering fabric&amp;#34;,&amp;#34;accessories&amp;#34;:&amp;#34;delicate earrings and necklace&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;pale lilac underwater-celestial blend with bubbles, sparkles, and flowing translucent wave forms&amp;#34;}}],&amp;#34;dividers&amp;#34;:&amp;#34;three horizontal framed panels with thin ornamental borders&amp;#34;},&amp;#34;footer&amp;#34;:{&amp;#34;center_icon&amp;#34;:&amp;#34;small blue seashell emblem&amp;#34;,&amp;#34;decorations&amp;#34;:[&amp;#34;tiny stars&amp;#34;,&amp;#34;fine scrollwork&amp;#34;]},&amp;#34;constraints&amp;#34;:[&amp;#34;all three zodiac entries must use the same woman as the base character with different styling, clothing, pose, and mood&amp;#34;,&amp;#34;text should be clean, editorial, and readable&amp;#34;,&amp;#34;each panel should clearly separate illustration area on the left and text block on the right&amp;#34;,&amp;#34;maintain cohesive water-element theme across all 3 signs&amp;#34;,&amp;#34;do not include the other nine zodiac signs in this image&amp;#34;]}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;土象星座角色海报&#34;&gt;土象星座角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia/status/2048114825398731143&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@komorimedia&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/067.webp&#34;
	width=&#34;848&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/067_hu_f718ee29bebcc79f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/067_hu_b8570c65f3d8c476.webp 1024w&#34;
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;vintage zodiac character infographic poster&amp;#34;,&amp;#34;theme&amp;#34;:&amp;#34;earth signs only&amp;#34;,&amp;#34;language&amp;#34;:&amp;#34;Traditional Chinese&amp;#34;,&amp;#34;style&amp;#34;:{&amp;#34;overall&amp;#34;:&amp;#34;elegant editorial infographic with soft anime-inspired live-action portrait compositing&amp;#34;,&amp;#34;palette&amp;#34;:&amp;#34;warm beige, cream, taupe, olive-gray, muted brown, antique gold&amp;#34;,&amp;#34;mood&amp;#34;:&amp;#34;stable, refined, calm, practical&amp;#34;,&amp;#34;texture&amp;#34;:&amp;#34;aged paper background with subtle speckles and thin ornamental borders&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;clean high-resolution print poster, soft lighting, delicate botanical and celestial line art&amp;#34;},&amp;#34;poster&amp;#34;:{&amp;#34;orientation&amp;#34;:&amp;#34;vertical&amp;#34;,&amp;#34;aspect_ratio&amp;#34;:&amp;#34;3:4&amp;#34;,&amp;#34;title&amp;#34;:&amp;#34;十二星座角色清單|土象星座&amp;#34;,&amp;#34;subtitle&amp;#34;:&amp;#34;穩定・務實・沉著&amp;#34;,&amp;#34;decorations&amp;#34;:[&amp;#34;ornamental corner filigree&amp;#34;,&amp;#34;small gold sparkles&amp;#34;,&amp;#34;botanical branches&amp;#34;,&amp;#34;mountain illustrations&amp;#34;,&amp;#34;thin panel dividers&amp;#34;],&amp;#34;sections_count&amp;#34;:3},&amp;#34;layout&amp;#34;:{&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;金牛座 Taurus&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;元素:土&amp;#34;,&amp;#34;概念:感官收藏家,穩穩生活&amp;#34;,&amp;#34;性格:務實、耐心、重享受&amp;#34;,&amp;#34;行動原則:先確認值得,再長線投入&amp;#34;,&amp;#34;戀愛傾向:慢熱但專情,重安全感&amp;#34;,&amp;#34;人際怪癖:對喜歡的人會默默餵食&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;處女座 Virgo&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;middle&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;元素:土&amp;#34;,&amp;#34;概念:秩序管理者,細節控場&amp;#34;,&amp;#34;性格:理性、細膩、可靠&amp;#34;,&amp;#34;行動原則:先整理,再精準出手&amp;#34;,&amp;#34;戀愛傾向:用照顧和實際行動表達喜歡&amp;#34;,&amp;#34;人際怪癖:嘴上挑剔,心裡其實很在乎&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;摩羯座 Capricorn&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;元素:土&amp;#34;,&amp;#34;概念:登峰實幹家,目標導向&amp;#34;,&amp;#34;性格:穩重、自律、有責任感&amp;#34;,&amp;#34;行動原則:先規劃,再穩定推進&amp;#34;,&amp;#34;戀愛傾向:慢熟務實,願意長期承諾&amp;#34;,&amp;#34;人際怪癖:關心常包裝成提醒與安排&amp;#34;]}],&amp;#34;centerpiece&amp;#34;:&amp;#34;three stacked horizontal character cards, each with a portrait on the left and text profile on the right&amp;#34;},&amp;#34;character&amp;#34;:{&amp;#34;identity&amp;#34;:&amp;#34;the same young East Asian woman appears in all 3 sections&amp;#34;,&amp;#34;age&amp;#34;:&amp;#34;early 20s&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;long dark brown to black hair in a low ponytail with side part&amp;#34;,&amp;#34;face&amp;#34;:&amp;#34;soft feminine features, natural makeup, calm expression&amp;#34;,&amp;#34;customization&amp;#34;:&amp;#34;keep the same base character across all zodiac entries, differentiated by wardrobe, pose, props, and themed background motifs&amp;#34;},&amp;#34;cards&amp;#34;:[{&amp;#34;sign&amp;#34;:&amp;#34;Taurus&amp;#34;,&amp;#34;symbol&amp;#34;:&amp;#34;♉&amp;#34;,&amp;#34;portrait&amp;#34;:{&amp;#34;pose&amp;#34;:&amp;#34;waist-up, slightly turned, holding a ceramic mug with both hands&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;cream knit sleeveless top under a soft sage-gray cardigan with delicate floral embroidery&amp;#34;,&amp;#34;expression&amp;#34;:&amp;#34;gentle, relaxed, nurturing&amp;#34;,&amp;#34;props_count&amp;#34;:1,&amp;#34;props&amp;#34;:[&amp;#34;mug&amp;#34;]},&amp;#34;background&amp;#34;:&amp;#34;large pale circular halo, floral branch illustration, soft botanical motifs, small mountain drawing in upper right&amp;#34;,&amp;#34;visual_concept&amp;#34;:&amp;#34;comfort, sensuality, domestic calm, slow living&amp;#34;},{&amp;#34;sign&amp;#34;:&amp;#34;Virgo&amp;#34;,&amp;#34;symbol&amp;#34;:&amp;#34;♍&amp;#34;,&amp;#34;portrait&amp;#34;:{&amp;#34;pose&amp;#34;:&amp;#34;waist-up, one hand holding a pen near the chin, the other arm holding an open notebook or planner&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;light cream blouse with a bow tie collar under a pale sage vest with gold buttons&amp;#34;,&amp;#34;expression&amp;#34;:&amp;#34;thoughtful, analytical, composed&amp;#34;,&amp;#34;props_count&amp;#34;:2,&amp;#34;props&amp;#34;:[&amp;#34;pen&amp;#34;,&amp;#34;notebook&amp;#34;]},&amp;#34;background&amp;#34;:&amp;#34;fine geometric diagram lines, botanical sprigs, diamond emblem with leaf motif&amp;#34;,&amp;#34;visual_concept&amp;#34;:&amp;#34;order, precision, intelligence, organization&amp;#34;},{&amp;#34;sign&amp;#34;:&amp;#34;Capricorn&amp;#34;,&amp;#34;symbol&amp;#34;:&amp;#34;♑&amp;#34;,&amp;#34;portrait&amp;#34;:{&amp;#34;pose&amp;#34;:&amp;#34;waist-up, arms crossed, confident upright stance&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;charcoal tailored blazer over a dark vest and crisp white shirt, small round lapel pin&amp;#34;,&amp;#34;expression&amp;#34;:&amp;#34;serious, disciplined, self-assured&amp;#34;,&amp;#34;props_count&amp;#34;:0,&amp;#34;props&amp;#34;:[]},&amp;#34;background&amp;#34;:&amp;#34;dramatic layered mountain landscape in sepia tones with subtle star-like sparkles&amp;#34;,&amp;#34;visual_concept&amp;#34;:&amp;#34;ambition, endurance, authority, climbing toward goals&amp;#34;}],&amp;#34;typography&amp;#34;:{&amp;#34;title_font&amp;#34;:&amp;#34;classic high-contrast serif Chinese type&amp;#34;,&amp;#34;sign_name_font&amp;#34;:&amp;#34;large bold Chinese serif with elegant italic Latin zodiac name&amp;#34;,&amp;#34;body_font&amp;#34;:&amp;#34;clean readable Chinese print font&amp;#34;,&amp;#34;icon_style&amp;#34;:&amp;#34;filled circular brown icons next to each bullet line&amp;#34;},&amp;#34;composition&amp;#34;:{&amp;#34;margin&amp;#34;:&amp;#34;generous cream margins&amp;#34;,&amp;#34;panel_style&amp;#34;:&amp;#34;rounded rectangular panels with thin gold-brown borders&amp;#34;,&amp;#34;spacing&amp;#34;:&amp;#34;even vertical stacking with narrow separators&amp;#34;,&amp;#34;text_alignment&amp;#34;:&amp;#34;left-aligned profile bullets on the right side of each card&amp;#34;}}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;火象星座角色海报&#34;&gt;火象星座角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia/status/2048114825398731143&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@komorimedia&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/068.webp&#34;
	width=&#34;848&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/068_hu_7ef6d97057f11809.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/068_hu_ea85fb4d58a7f224.webp 1024w&#34;
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		alt=&#34;火象星座角色海报&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A polished vertical infographic poster in elegant East Asian editorial style, themed around the fire signs of the zodiac using one consistent female character reimagined in three different costumes. Cream parchment background with thin ornamental borders, small corner flourishes, tiny sparkles, and warm red-orange-gold accents throughout. Large Chinese headline at the top reading {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;十二星座角色清單|火象星座&amp;#34;}, with a smaller subheading beneath reading {argument name=&amp;#34;subheading text&amp;#34; default=&amp;#34;熱情・行動・勇氣&amp;#34;}, and a decorative flame icon at the top right. The layout contains exactly 3 stacked profile panels with rounded rectangular borders and generous margins: Aries on top, Leo in the middle, Sagittarius on the bottom. Each panel is split visually with the character on the left and a text/spec area on the right, plus a zodiac symbol badge on the far left and a small constellation diagram on the far right.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Use the same young East Asian woman in all 3 panels, slim build, long dark hair in a high ponytail, shown from about thigh-up to waist-up, facing slightly toward camera, styled as a fashion-model zodiac character sheet. Keep facial features neutral and refined, clean beauty lighting, soft airbrushed illustration-photo composite look.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 1: Aries. Chinese title and English subtitle: &amp;#34;牡羊座 Aries&amp;#34;. Dominant color scheme: vivid red with warm coral highlights. Zodiac symbol badge shows Aries glyph. Constellation on the right. Behind the character, faint circular mystical line art and flame motifs. Outfit: sporty warrior idol styling with a white crop top, red open short-sleeve jacket with gold trim, red belt, and red wrist wraps or fingerless arm accessories. Pose: confident, energetic, one fist raised near the shoulder and the other hand on her hip. Include exactly 6 info lines with small circular icons before each line, all in Chinese: 1) &amp;#34;元素:火&amp;#34; 2) &amp;#34;概念:點火者,直覺先行&amp;#34; 3) &amp;#34;性格:熱情、直接、好勝&amp;#34; 4) &amp;#34;行動原則:先衝再修正&amp;#34; 5) &amp;#34;戀愛傾向:心動就追,喜歡熱烈互動&amp;#34; 6) &amp;#34;人際怪癖:嫌節奏太慢時會自己接手&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 2: Leo. Chinese title and English subtitle: &amp;#34;獅子座 Leo&amp;#34;. Dominant color scheme: gold, champagne, and soft amber. Zodiac symbol badge shows Leo glyph. Constellation on the right. Background includes radiant sunburst styling and a faint majestic lion illustration silhouette behind the character. Outfit: glamorous regal gown in pale gold with ornate embroidery, jeweled bodice details, flowing translucent cape sleeves, elegant necklace, and a small crown or tiara. Pose: poised and queenly, one hand lightly touching the chest or collarbone, shoulders open, projecting confidence and star power. Include exactly 6 info lines with small circular icons before each line, all in Chinese: 1) &amp;#34;元素:火&amp;#34; 2) &amp;#34;概念:舞台中心,自帶光芒&amp;#34; 3) &amp;#34;性格:大方、自信、要面子&amp;#34; 4) &amp;#34;行動原則:先定氣場,再帶隊前進&amp;#34; 5) &amp;#34;戀愛傾向:喜歡被偏愛,也樂於寵人&amp;#34; 6) &amp;#34;人際怪癖:明明在意,卻要裝沒事&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 3: Sagittarius. Chinese title and English subtitle: &amp;#34;射手座 Sagittarius&amp;#34;. Dominant color scheme: rust red, burnt orange, brown leather, and warm ivory. Zodiac symbol badge shows Sagittarius glyph. Constellation on the right. Background features faint compass-circle graphics and flame accents. Outfit: adventurous archer styling with an ivory blouse, red scarf, brown leather harness straps, utility belt, and arm bracers. Pose: dynamic action shot drawing a bow, arrow aimed to the right, with a small glowing spark at the bow grip or arrow rest. Include exactly 6 info lines with small circular icons before each line, all in Chinese: 1) &amp;#34;元素:火&amp;#34; 2) &amp;#34;概念:自由旅人,邊走邊發現&amp;#34; 3) &amp;#34;性格:樂觀、坦率、好奇&amp;#34; 4) &amp;#34;行動原則:先出發,路上再找答案&amp;#34; 5) &amp;#34;戀愛傾向:喜歡輕鬆真誠,不愛被綁住&amp;#34; 6) &amp;#34;人際怪癖:聊到一半常被新鮮事帶走&amp;#34;.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Overall design should feel premium, feminine, mystical, and collectible, like a social-media-ready zodiac character list poster. Use elegant serif-style Chinese typography for the main sign names and italic calligraphic English for Aries, Leo, and Sagittarius. Keep all text crisp, aligned, and readable. Add one small decorative fire emblem centered near the bottom border. Aspect ratio 3:4 portrait.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;风象星座角色海报&#34;&gt;风象星座角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia/status/2048114825398731143&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/komorimedia&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@komorimedia&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/069.webp&#34;
	width=&#34;848&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/069_hu_42522190a4347a3c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/069_hu_cb063e06d04af3cd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;风象星座角色海报&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;Chinese zodiac-themed character infographic poster&amp;#34;,&amp;#34;format&amp;#34;:&amp;#34;vertical poster&amp;#34;,&amp;#34;aspect_ratio&amp;#34;:&amp;#34;3:4&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;clean pastel editorial infographic with anime-inspired fashion photography, soft magical accents, elegant horoscope design, premium magazine layout&amp;#34;,&amp;#34;background&amp;#34;:{&amp;#34;color&amp;#34;:&amp;#34;warm ivory&amp;#34;,&amp;#34;border&amp;#34;:&amp;#34;thin decorative gold frame with small ornamental corners and tiny sparkles&amp;#34;,&amp;#34;top_right_motif&amp;#34;:&amp;#34;large pale air-element swirl ornament&amp;#34;},&amp;#34;title_block&amp;#34;:{&amp;#34;headline&amp;#34;:&amp;#34;十二星座角色清單|風象星座&amp;#34;,&amp;#34;subheadline&amp;#34;:&amp;#34;靈活・交流・思辨&amp;#34;,&amp;#34;alignment&amp;#34;:&amp;#34;top center&amp;#34;,&amp;#34;headline_color&amp;#34;:&amp;#34;deep desaturated blue&amp;#34;,&amp;#34;subheadline_color&amp;#34;:&amp;#34;muted gold&amp;#34;},&amp;#34;subject&amp;#34;:{&amp;#34;count&amp;#34;:3,&amp;#34;description&amp;#34;:&amp;#34;the same young East Asian woman used as the base character appears in 3 separate horoscope panels, each shown from about thigh-up to waist-up with long dark hair and soft feminine styling, photographed frontally and integrated into illustrated pastel zodiac backdrops&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;雙子座 Gemini&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top panel&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;theme_color&amp;#34;:&amp;#34;butter yellow and cream&amp;#34;,&amp;#34;zodiac_symbol&amp;#34;:&amp;#34;Gemini glyph inside a circle on the left&amp;#34;,&amp;#34;constellation&amp;#34;:&amp;#34;small Gemini constellation in the upper right&amp;#34;,&amp;#34;character_pose&amp;#34;:&amp;#34;playful double peace signs raised beside her face&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;pale yellow cardigan over a white ribbed crop top, light bottoms, yellow belt, delicate necklace&amp;#34;,&amp;#34;background_motifs_count&amp;#34;:4,&amp;#34;background_motifs&amp;#34;:[&amp;#34;speech bubble icon&amp;#34;,&amp;#34;sparkles&amp;#34;,&amp;#34;curved flowing lines&amp;#34;,&amp;#34;soft dots&amp;#34;],&amp;#34;text_items_count&amp;#34;:6,&amp;#34;text_items&amp;#34;:[&amp;#34;元素:風&amp;#34;,&amp;#34;概念:資訊玩家,靈感跳接&amp;#34;,&amp;#34;性格:機靈、善聊、多變&amp;#34;,&amp;#34;行動原則:先交流,再快速轉向&amp;#34;,&amp;#34;戀愛傾向:喜歡有趣互動與腦力火花&amp;#34;,&amp;#34;人際怪癖:話題切換速度快到像開分頁&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;天秤座 Libra&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;middle panel&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;theme_color&amp;#34;:&amp;#34;blush pink and pastel lavender&amp;#34;,&amp;#34;zodiac_symbol&amp;#34;:&amp;#34;Libra glyph inside a circle on the left&amp;#34;,&amp;#34;constellation&amp;#34;:&amp;#34;small Libra constellation in the upper right&amp;#34;,&amp;#34;character_pose&amp;#34;:&amp;#34;one hand raised open-palmed as if presenting balance, the other hand near her chin in an elegant thoughtful pose&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;pink blazer draped over shoulders, pastel pink-and-blue wrapped dress, jeweled belt, earrings, necklace, bracelet&amp;#34;,&amp;#34;background_motifs_count&amp;#34;:4,&amp;#34;background_motifs&amp;#34;:[&amp;#34;scales illustration&amp;#34;,&amp;#34;flowing ribbon-like swirls&amp;#34;,&amp;#34;sparkles&amp;#34;,&amp;#34;soft gradient haze&amp;#34;],&amp;#34;text_items_count&amp;#34;:6,&amp;#34;text_items&amp;#34;:[&amp;#34;元素:風&amp;#34;,&amp;#34;概念:關係設計師,追求平衡&amp;#34;,&amp;#34;性格:優雅、圓融、審美強&amp;#34;,&amp;#34;行動原則:先衡量,再找最順解法&amp;#34;,&amp;#34;戀愛傾向:重氛圍與互相體面&amp;#34;,&amp;#34;人際怪癖:選太久,但又很會照顧場面&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;水瓶座 Aquarius&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom panel&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;theme_color&amp;#34;:&amp;#34;lavender, icy blue, and silver&amp;#34;,&amp;#34;zodiac_symbol&amp;#34;:&amp;#34;Aquarius glyph inside a circle on the left&amp;#34;,&amp;#34;constellation&amp;#34;:&amp;#34;small Aquarius constellation in the upper right&amp;#34;,&amp;#34;character_pose&amp;#34;:&amp;#34;holding and tilting a futuristic transparent vessel as glowing water-like energy pours out in looping streams&amp;#34;,&amp;#34;outfit&amp;#34;:&amp;#34;metallic silver crop top and skirt set with translucent iridescent jacket, futuristic straps, reflective accessories&amp;#34;,&amp;#34;background_motifs_count&amp;#34;:4,&amp;#34;background_motifs&amp;#34;:[&amp;#34;glowing circular energy rings&amp;#34;,&amp;#34;constellation lines&amp;#34;,&amp;#34;sparkles&amp;#34;,&amp;#34;light trails&amp;#34;],&amp;#34;text_items_count&amp;#34;:6,&amp;#34;text_items&amp;#34;:[&amp;#34;元素:風&amp;#34;,&amp;#34;概念:未來觀察員,規則改革者&amp;#34;,&amp;#34;性格:獨立、理想派、腦洞大&amp;#34;,&amp;#34;行動原則:先思考原理,再另闢路線&amp;#34;,&amp;#34;戀愛傾向:重精神共鳴,也需要個人空間&amp;#34;,&amp;#34;人際怪癖:忽冷忽熱,其實是在充電&amp;#34;]}],&amp;#34;panel_count&amp;#34;:3},&amp;#34;typography&amp;#34;:{&amp;#34;languages&amp;#34;:[&amp;#34;Traditional Chinese&amp;#34;,&amp;#34;English zodiac names&amp;#34;],&amp;#34;headline_font&amp;#34;:&amp;#34;elegant high-contrast serif&amp;#34;,&amp;#34;body_font&amp;#34;:&amp;#34;clean legible Chinese serif or sans-serif hybrid&amp;#34;,&amp;#34;zodiac_english&amp;#34;:&amp;#34;italic calligraphic serif&amp;#34;},&amp;#34;visual_rules&amp;#34;:{&amp;#34;each_panel_has&amp;#34;:8,&amp;#34;panel_elements&amp;#34;:[&amp;#34;left zodiac glyph badge&amp;#34;,&amp;#34;center-left character&amp;#34;,&amp;#34;right text block&amp;#34;,&amp;#34;English zodiac name&amp;#34;,&amp;#34;small constellation&amp;#34;,&amp;#34;pastel illustrated background motifs&amp;#34;,&amp;#34;thin panel border&amp;#34;,&amp;#34;6 bullet-style info lines with icons&amp;#34;],&amp;#34;spacing&amp;#34;:&amp;#34;generous margins and symmetrical alignment&amp;#34;,&amp;#34;render_quality&amp;#34;:&amp;#34;high resolution, crisp print-ready infographic&amp;#34;}}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;藏族礼仪帽民族志图版&#34;&gt;藏族礼仪帽民族志图版
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/degewa/status/2048104569037783226&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/degewa&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@degewa&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/070.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/070_hu_9defc08da0469adb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/070_hu_9668df56d438f17a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;藏族礼仪帽民族志图版&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Using REFERENCE_0 and REFERENCE_1, create a clean ethnographic archive plate focused on the ceremonial hat. Use REFERENCE_0 as the historical Tibetan context and silhouette reference, and REFERENCE_1 as the color, material, and ornament reference for the hat. Isolate and reconstruct the hat as a museum-style object study, removing the seated body as the main subject. Present the hat on an off-white document page as a scholarly catalog sheet in Chinese with small romanization. Add 8 numbered callouts around the object with fine dashed leader lines, each pointing to a specific structural detail. The centerpiece should be one large three-quarter underside view of the hat. Also include exactly 4 supplementary views/details: 1 side-profile wearing sketch with a faint line-drawn bust, 1 underside interior view, 1 top-down view, and 2 square close-up material swatches. Add exactly 4 thread-color samples near the lower right: blue, red, white, and yellow. At the top center, add the large title {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;唐徐帽&amp;#34;} with the romanization {argument name=&amp;#34;romanization&amp;#34; default=&amp;#34;(thang zhwa)&amp;#34;} beneath it, plus a smaller subtitle describing it as a summer ceremonial hat of high-ranking Tibetan monks. In the upper left, add a boxed metadata panel with multiple short Chinese fields, and in the upper right add a plate number reading {argument name=&amp;#34;plate number&amp;#34; default=&amp;#34;图版 No. 27&amp;#34;}. At the bottom, add one bordered note paragraph in Chinese. Overall style: meticulous archival infographic, anthropological catalog illustration, historically informed, precise woven texture, ivory-gold base with blue and red ornament, elegant print layout, thin rules and decorative divider marks, high-detail object rendering on a plain paper background.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;复古-prs-吉他谱系海报&#34;&gt;复古 PRS 吉他谱系海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/GlennHasABeard/status/2048087784141857235&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/GlennHasABeard&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@GlennHasABeard&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/071.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/071_hu_c00ca7ff3d8542ef.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/071_hu_3776a06329c3d552.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;复古 PRS 吉他谱系海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;luxury vintage guitar comparison infographic poster&amp;#34;,&amp;#34;subject&amp;#34;:&amp;#34;a highly detailed, vertically oriented PRS electric guitar lineup chart designed like a premium museum poster or collector&amp;#39;s reference board&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;ornate, dark, glossy, high-contrast, gold-foil typography, elegant wood-and-metal textures, symmetrical grid layout, premium catalog aesthetic, subtle vintage patina, ultra sharp graphic design&amp;#34;,&amp;#34;branding&amp;#34;:{&amp;#34;main headline&amp;#34;:&amp;#34;THE LEGENDARY LINEAGE OF {argument name=\&amp;#34;brand name\&amp;#34; default=\&amp;#34;PRS GUITARS\&amp;#34;}&amp;#34;,&amp;#34;subheadline&amp;#34;:&amp;#34;EVERY ICON. EVERY LINE. ONE HERITAGE.&amp;#34;,&amp;#34;signature&amp;#34;:&amp;#34;Paul Reed Smith&amp;#34;,&amp;#34;left seal&amp;#34;:&amp;#34;PAUL REED SMITH GUITARS&amp;#34;,&amp;#34;right seal&amp;#34;:&amp;#34;MADE IN MARYLAND U.S.A.&amp;#34;},&amp;#34;palette&amp;#34;:{&amp;#34;background&amp;#34;:&amp;#34;black and deep charcoal with dark figured wood accents&amp;#34;,&amp;#34;primary&amp;#34;:&amp;#34;antique gold&amp;#34;,&amp;#34;secondary&amp;#34;:&amp;#34;cream&amp;#34;,&amp;#34;accent colors&amp;#34;:[&amp;#34;deep green&amp;#34;,&amp;#34;teal&amp;#34;,&amp;#34;royal blue&amp;#34;,&amp;#34;purple&amp;#34;,&amp;#34;gold&amp;#34;,&amp;#34;burgundy&amp;#34;]},&amp;#34;layout&amp;#34;:{&amp;#34;format&amp;#34;:&amp;#34;single-page vertical poster&amp;#34;,&amp;#34;header&amp;#34;:{&amp;#34;position&amp;#34;:&amp;#34;top&amp;#34;,&amp;#34;elements&amp;#34;:[&amp;#34;large central title&amp;#34;,&amp;#34;small tagline below&amp;#34;,&amp;#34;script signature&amp;#34;,&amp;#34;2 circular emblems in upper left and upper right&amp;#34;,&amp;#34;3 horizontal legend boxes under the title&amp;#34;]},&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;PRESTIGE TIER KEY&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper left below title&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;SE&amp;#34;,&amp;#34;S2&amp;#34;,&amp;#34;CE&amp;#34;,&amp;#34;CORE&amp;#34;,&amp;#34;WOOD LIBRARY&amp;#34;,&amp;#34;PRIVATE STOCK&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;PICKUP ICON KEY&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper center-right below title&amp;#34;,&amp;#34;count&amp;#34;:7,&amp;#34;labels&amp;#34;:[&amp;#34;HH&amp;#34;,&amp;#34;HSH&amp;#34;,&amp;#34;P-90&amp;#34;,&amp;#34;SOAP&amp;#34;,&amp;#34;58/15&amp;#34;,&amp;#34;TCI&amp;#34;,&amp;#34;Bass&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;TONAL CHARACTER KEY&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper right below title&amp;#34;,&amp;#34;count&amp;#34;:7,&amp;#34;labels&amp;#34;:[&amp;#34;Warm / Vintage&amp;#34;,&amp;#34;Balanced / All-around&amp;#34;,&amp;#34;Bright / Articulate&amp;#34;,&amp;#34;High Gain / Modern&amp;#34;,&amp;#34;Blues / Classic Rock&amp;#34;,&amp;#34;Metal / Progressive&amp;#34;,&amp;#34;Funk / Soul / Clean&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;CORE&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;first main row left label&amp;#34;,&amp;#34;count&amp;#34;:7,&amp;#34;labels&amp;#34;:[&amp;#34;Custom 24&amp;#34;,&amp;#34;McCarty 594&amp;#34;,&amp;#34;DGT (David Grissom)&amp;#34;,&amp;#34;Custom 22&amp;#34;,&amp;#34;Hollowbody II&amp;#34;,&amp;#34;SC 594&amp;#34;,&amp;#34;row category panel&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;S2&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;second main row left label&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;S2 Custom 24&amp;#34;,&amp;#34;S2 McCarty 594&amp;#34;,&amp;#34;S2 Standard 24&amp;#34;,&amp;#34;S2 Vela&amp;#34;,&amp;#34;S2 Singlecut&amp;#34;,&amp;#34;S2 Mira&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;SE&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;third main row left label&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;SE Custom 24&amp;#34;,&amp;#34;SE Standard 24&amp;#34;,&amp;#34;SE Paul&amp;#39;s Guitar&amp;#34;,&amp;#34;SE Santana&amp;#34;,&amp;#34;SE Hollowbody II&amp;#34;,&amp;#34;SE Mark Holcomb&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;CE&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;fourth main row left label&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;CE 24&amp;#34;,&amp;#34;CE 22&amp;#34;,&amp;#34;CE 24 Semi-Hollow&amp;#34;,&amp;#34;CE 24 Floyd&amp;#34;,&amp;#34;CE 24 Satin&amp;#34;,&amp;#34;CE Bass&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;BOLT-ON SERIES&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;fifth main row left label&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;NF 53&amp;#34;,&amp;#34;Silver Sky&amp;#34;,&amp;#34;NF 3&amp;#34;,&amp;#34;NF 53 Satin&amp;#34;,&amp;#34;DGT Bolt-On&amp;#34;,&amp;#34;Studio&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;PRIVATE STOCK&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;sixth main row left label&amp;#34;,&amp;#34;count&amp;#34;:6,&amp;#34;labels&amp;#34;:[&amp;#34;Dragon I&amp;#34;,&amp;#34;Frostbite&amp;#34;,&amp;#34;#4004&amp;#34;,&amp;#34;The Tree of Life&amp;#34;,&amp;#34;#8731&amp;#34;,&amp;#34;PS DGT&amp;#34;]}],&amp;#34;footer&amp;#34;:{&amp;#34;position&amp;#34;:&amp;#34;bottom&amp;#34;,&amp;#34;elements&amp;#34;:[&amp;#34;small badge at lower left&amp;#34;,&amp;#34;centered company line&amp;#34;,&amp;#34;right-side script signature&amp;#34;]}},&amp;#34;content grid&amp;#34;:{&amp;#34;total guitar models shown&amp;#34;:37,&amp;#34;card design&amp;#34;:&amp;#34;each product card contains a guitar render, model name, year, small pickup icons, a short descriptive blurb, and origin/wood specs at the bottom&amp;#34;,&amp;#34;row side panels&amp;#34;:6},&amp;#34;visual details&amp;#34;:{&amp;#34;guitars&amp;#34;:&amp;#34;front-facing electric guitars with varied body shapes and highly polished figured maple tops, metallic and transparent finishes, some solid colors, some natural wood&amp;#34;,&amp;#34;typography&amp;#34;:&amp;#34;all caps serif headlines, small serif body text, script signature accents&amp;#34;,&amp;#34;borders&amp;#34;:&amp;#34;thin decorative gold rules around every panel and the full poster&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;studio-lit instruments against dark panel backgrounds&amp;#34;,&amp;#34;render quality&amp;#34;:&amp;#34;clean infographic precision with realistic product renders&amp;#34;},&amp;#34;camera&amp;#34;:&amp;#34;straight-on flat poster view, no perspective distortion, centered composition&amp;#34;,&amp;#34;quality&amp;#34;:&amp;#34;ultra detailed, print-ready, high-resolution editorial infographic, luxury brand poster&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;阿里山一日游旅行海报&#34;&gt;阿里山一日游旅行海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/TWnese/status/2048077204786212887&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/TWnese&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@TWnese&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/072.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/072_hu_5de06e0cd01c812b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/072_hu_2721a3ee37bf1887.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;阿里山一日游旅行海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a vintage illustrated travel poster in traditional Chinese for {argument name=&amp;#34;destination name&amp;#34; default=&amp;#34;阿里山國家風景區&amp;#34;}, designed as a one-day itinerary infographic with a split vertical layout. The left panel is a parchment-textured itinerary card in warm beige with ornate gold Art Nouveau borders and dark brown typography, and the right panel is a dramatic painted fantasy-realism map scene of a mountain journey at sunrise and sunset tones. At the top of the left panel, large headline text reads {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;阿里山國家風景區一日遊&amp;#34;}. Beneath it, include a short centered tagline in traditional Chinese: 「一座高山,五個經典景點。難忘的奇幻旅程。」 with a small decorative mountain divider. The left panel must contain exactly 5 numbered itinerary stops stacked vertically, each with a circular black-and-gold number badge, a small vignette illustration, a bold location name, a time in parentheses, and a short Chinese description. The 5 stops are: 1. 「阿里山車站」 at 「(8:00 AM)」 with a wooden mountain railway station illustration and description 「開啟探索神木與森林的旅程。」 2. 「阿里山森林鐵路」 at 「(9:30 AM)」 with a red-and-black steam train illustration and description 「穿越森林,體驗百年林鐵風情。」 3. 「神木區棧道」 at 「(11:30 AM)」 with giant cedar trees and elevated wooden boardwalk illustration and description 「漫步千年巨木下,感受森林靈氣。」 4. 「姊妹潭」 at 「(1:30 PM)」 with a tranquil forest lake and pavilion illustration and description 「欣賞靜謐湖光,聆聽自然樂章。」 5. 「小笠原山展望台」 at 「(4:00 PM)」 with a wooden observation deck above clouds at sunset illustration and description 「觀賞壯闊山景與雲海,欣賞日落。」 The right panel should depict a continuous glowing golden path winding through exactly 5 numbered map markers that match the left panel labels in order, with black-and-gold marker plaques reading: 1 「阿里山車站」, 2 「阿里山森林鐵路」, 3 「神木區棧道」, 4 「姊妹潭」, 5 「小笠原山展望台」. Show stop 1 as a rustic alpine wooden station perched on a cliff among pine forests; stop 2 as a small steam locomotive traveling on a curved mountain railway with smoke drifting upward; stop 3 as towering ancient red cypress trees with a spiral and zigzag wooden walkway around the trunks; stop 4 as an emerald lake surrounded by dense forest with a small pavilion and arched bridge; stop 5 as a lookout deck on a peak above a sea of clouds, facing a glowing sunset. The environment should feature layered mountain ranges, mist-filled valleys, evergreen forests, golden-hour light, luminous cloud seas, and a romantic painterly atmosphere with rich detail. At the bottom right, add a decorative compass rose labeled N, E, S, W, plus a dark green and gold information box with exactly 2 stats in traditional Chinese: 「總距離 ~9公里 / 5.6英里」 and 「預計時間 全天 - 14,500步」. Overall style: premium tourism poster, painterly digital illustration, nostalgic national-park brochure aesthetic, highly detailed, warm sepia and gold accents, elegant composition, readable Chinese text, vertical 2:3 poster.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;舞蹈动作参考表&#34;&gt;舞蹈动作参考表
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Ciri_ai/status/2048074587955658848&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Ciri_ai&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Ciri_ai&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/073.webp&#34;
	width=&#34;1080&#34;
	height=&#34;611&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/073_hu_d0c36a5b8c2b80e0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/073_hu_79ce36609849f62.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;舞蹈动作参考表&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;176&#34;
		data-flex-basis=&#34;424px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[STYLE]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;monochromatic grayscale illustration, 3D rendered character, clean instructional reference sheet, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;white background, comic-style cell grid layout, technical diagram aesthetic
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[LAYOUT]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4x4 grid layout, 16 panels total, each panel separated by thin black border lines, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;numbered cells from 1 to 16, consistent panel size
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[CHARACTER]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;character&amp;#34; default=&amp;#34;young female dancer, athletic build, ponytail hairstyle, crop top and baggy pants, sneakers&amp;#34;}, same character in all panels
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[PANEL STRUCTURE - per cell]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;top-left: bold number badge + {argument name=&amp;#34;title&amp;#34; default=&amp;#34;Korean title text&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;center: full-body character pose illustration
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;bottom-left: {argument name=&amp;#34;description&amp;#34; default=&amp;#34;Korean description text (3-4 lines)&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;overlay: directional arrows indicating movement direction
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[ARROWS / MOTION INDICATORS]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;curved arrows, straight arrows, circular rotation indicators, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;placed around the character to show movement flow and direction
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[RENDERING STYLE]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;high detail 3D sculpt style, soft studio lighting, subtle shadows, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;no color, grayscale shading, clean linework, game concept art quality
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;[NEGATIVE]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;no background scenery, no color tones, no extra characters, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;no cluttered backgrounds
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫博物馆背景转换&#34;&gt;动漫博物馆背景转换
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Dakiny/status/2048175219966394695&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Dakiny&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Dakiny&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/074.webp&#34;
	width=&#34;1200&#34;
	height=&#34;804&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/074_hu_12694e8f33f66c40.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/074_hu_ad2db60cad455b09.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫博物馆背景转换&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Using the provided reference photo, recreate the same museum facade and frontal composition as a polished theatrical anime background illustration. Keep the architecture, signage, 3 flagpoles, broad steps, and overall layout consistent, but convert the image from realistic photography into a highly detailed hand-painted anime film style with clean linework, soft cel shading, gentle pastel stone colors, and crisp atmospheric lighting. Add dramatic sunlight from the upper right so the glass pyramid casts a large geometric lattice shadow across the central wall and left side of the entrance. Simplify and stylize the people into anime background characters, keeping the 2 visible groups: 1 lone figure on the left and 1 small cluster of 7 people near the center-right entrance. Preserve the clear blue-sky daytime mood while making the scene feel elegant, refined, and cinematic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;16-姿势舞蹈战斗参考表&#34;&gt;16 姿势舞蹈战斗参考表
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe/status/2048143577264402629&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ExquisitMe&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/075.webp&#34;
	width=&#34;1199&#34;
	height=&#34;680&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/075_hu_6291dd73dfb1fe6a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/075_hu_9ed3fc068d4b623d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;16 姿势舞蹈战斗参考表&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;176&#34;
		data-flex-basis=&#34;423px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;pose reference sheet&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;theme&amp;#34;:&amp;#34;hip-hop dance and combat-ready movement chart&amp;#34;,&amp;#34;character&amp;#34;:{&amp;#34;count&amp;#34;:1,&amp;#34;gender_presentation&amp;#34;:&amp;#34;female&amp;#34;,&amp;#34;age_appearance&amp;#34;:&amp;#34;young adult&amp;#34;,&amp;#34;body_type&amp;#34;:&amp;#34;fit athletic dancer&amp;#34;,&amp;#34;skin_tone&amp;#34;:&amp;#34;light tan&amp;#34;,&amp;#34;hair&amp;#34;:{&amp;#34;color&amp;#34;:&amp;#34;black&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;high ponytail with loose strands&amp;#34;},&amp;#34;outfit&amp;#34;:{&amp;#34;count&amp;#34;:5,&amp;#34;items&amp;#34;:[&amp;#34;white sports bra or cropped athletic top&amp;#34;,&amp;#34;baggy purple jogger pants&amp;#34;,&amp;#34;white chunky sneakers&amp;#34;,&amp;#34;purple wristbands or forearm bands on both arms&amp;#34;,&amp;#34;small hoop earrings&amp;#34;]}}},&amp;#34;style&amp;#34;:{&amp;#34;image_type&amp;#34;:&amp;#34;photorealistic studio pose sheet&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;clean even studio lighting&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;plain light gray to white seamless backdrop&amp;#34;,&amp;#34;camera&amp;#34;:&amp;#34;full-body framing, straight-on view, consistent distance&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;sharp realistic anatomy, dynamic motion, slight shadow under feet&amp;#34;,&amp;#34;face&amp;#34;:&amp;#34;intentionally blurred or obscured&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;grid&amp;#34;:{&amp;#34;rows&amp;#34;:4,&amp;#34;columns&amp;#34;:4,&amp;#34;count&amp;#34;:16},&amp;#34;numbering&amp;#34;:{&amp;#34;count&amp;#34;:16,&amp;#34;labels&amp;#34;:[&amp;#34;1&amp;#34;,&amp;#34;2&amp;#34;,&amp;#34;3&amp;#34;,&amp;#34;4&amp;#34;,&amp;#34;5&amp;#34;,&amp;#34;6&amp;#34;,&amp;#34;7&amp;#34;,&amp;#34;8&amp;#34;,&amp;#34;9&amp;#34;,&amp;#34;10&amp;#34;,&amp;#34;11&amp;#34;,&amp;#34;12&amp;#34;,&amp;#34;13&amp;#34;,&amp;#34;14&amp;#34;,&amp;#34;15&amp;#34;,&amp;#34;16&amp;#34;],&amp;#34;position&amp;#34;:&amp;#34;top-left corner of each cell&amp;#34;},&amp;#34;cell_borders&amp;#34;:&amp;#34;thin black divider lines between all panels&amp;#34;},&amp;#34;poses&amp;#34;:{&amp;#34;count&amp;#34;:16,&amp;#34;items&amp;#34;:[{&amp;#34;label&amp;#34;:&amp;#34;1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;wide low squat, knees bent outward, torso angled slightly left, both arms extended loosely in a defensive dance stance&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;deep side lunge to the left, left arm pointing straight left, right hand near the head, energetic directional pose&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;low crouch with one hand touching the floor, one knee bent under the body, opposite arm extended horizontally&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;upright one-leg balance, left knee lifted high, both arms spread outward for rhythm and balance&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;5&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;similar one-leg raised pose with the other leg supporting, arms stretched outward in a lighter dance variation&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;6&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;very wide grounded squat, torso pitched forward, one hand reaching toward the floor between the legs, other arm extended back&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;7&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;dramatic standing back arch, chest lifted upward, hips forward, both arms opened behind and to the sides&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;8&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;small jump or suspended squat, both feet off the floor, knees bent, arms spread wide symmetrically&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;9&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;floor-supported seated lean, one hand planted behind, one arm reaching diagonally upward, legs bent to one side&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;10&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;front-facing balance with one knee raised to hip height, one arm bent in guard position and the other extended sideways&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;11&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;deep lateral stance, feet far apart, knees bent, both hands raised open near shoulder level like a ready combat pose&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;12&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;low side lunge split, one hand planted on the floor, the other arm reaching vertically overhead, torso arched upward&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;13&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;standing backward lean with relaxed bent knees, chest up, arms hanging loosely behind in a groove pose&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;14&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;compact twisting crouch, weight low over bent legs, torso rotated, one arm pulled in and the other extended outward&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;15&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;very wide side lunge stretch, one hand to the floor near the front foot, opposite arm reaching diagonally overhead&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;16&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;one-leg lifted pose with knee high, one hand behind the head and the other arm extended forward, confident finishing stance&amp;#34;}]},&amp;#34;composition&amp;#34;:&amp;#34;show the same dancer in all 16 panels with consistent outfit and scale, centered within each frame, designed like a movement library or choreography reference chart&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;16-格舞蹈姿势参考表&#34;&gt;16 格舞蹈姿势参考表
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe/status/2048143577264402629&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ExquisitMe&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/076.webp&#34;
	width=&#34;1200&#34;
	height=&#34;680&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/076_hu_9cad5c551cf69b7b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/076_hu_34fa4cea34edd581.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;16 格舞蹈姿势参考表&#34;
	
	
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		data-flex-grow=&#34;176&#34;
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;dance pose reference sheet&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;clean studio pose chart, photoreal fitness-dance reference, white seamless background, sharp full-body photography, soft even lighting, minimal shadows, thin black grid lines separating panels&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;count&amp;#34;:1,&amp;#34;person&amp;#34;:{&amp;#34;gender_presentation&amp;#34;:&amp;#34;female&amp;#34;,&amp;#34;age_appearance&amp;#34;:&amp;#34;young adult&amp;#34;,&amp;#34;build&amp;#34;:&amp;#34;slim athletic toned dancer&amp;#34;,&amp;#34;skin_tone&amp;#34;:&amp;#34;light tan&amp;#34;,&amp;#34;hair&amp;#34;:{&amp;#34;color&amp;#34;:&amp;#34;{argument name=\&amp;#34;hair color\&amp;#34; default=\&amp;#34;dark brown\&amp;#34;}&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;high ponytail with loose strands&amp;#34;},&amp;#34;outfit&amp;#34;:{&amp;#34;count&amp;#34;:3,&amp;#34;items&amp;#34;:[&amp;#34;white fitted sports bra or cropped athletic tank&amp;#34;,&amp;#34;baggy blue-gray jogger pants&amp;#34;,&amp;#34;white sneakers&amp;#34;]}}},&amp;#34;layout&amp;#34;:{&amp;#34;rows&amp;#34;:4,&amp;#34;columns&amp;#34;:4,&amp;#34;total_panels&amp;#34;:16,&amp;#34;numbering&amp;#34;:&amp;#34;black panel numbers in the top-left corner of each cell, labeled 1 through 16&amp;#34;,&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;pose grid&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;full page&amp;#34;,&amp;#34;count&amp;#34;:16,&amp;#34;labels&amp;#34;:[&amp;#34;1&amp;#34;,&amp;#34;2&amp;#34;,&amp;#34;3&amp;#34;,&amp;#34;4&amp;#34;,&amp;#34;5&amp;#34;,&amp;#34;6&amp;#34;,&amp;#34;7&amp;#34;,&amp;#34;8&amp;#34;,&amp;#34;9&amp;#34;,&amp;#34;10&amp;#34;,&amp;#34;11&amp;#34;,&amp;#34;12&amp;#34;,&amp;#34;13&amp;#34;,&amp;#34;14&amp;#34;,&amp;#34;15&amp;#34;,&amp;#34;16&amp;#34;]}]},&amp;#34;poses&amp;#34;:{&amp;#34;count&amp;#34;:16,&amp;#34;items&amp;#34;:[{&amp;#34;panel&amp;#34;:1,&amp;#34;description&amp;#34;:&amp;#34;wide stance, knees bent, torso upright, right arm extended straight to the right in a pointing gesture, left arm bent near the body&amp;#34;},{&amp;#34;panel&amp;#34;:2,&amp;#34;description&amp;#34;:&amp;#34;deep low squat facing forward, feet wide apart, one hand lifted in front of the chest, the other resting near the thigh&amp;#34;},{&amp;#34;panel&amp;#34;:3,&amp;#34;description&amp;#34;:&amp;#34;low floor-supported pose, leaning back on one hand with hips low, one knee bent under the body, opposite arm stretched diagonally upward&amp;#34;},{&amp;#34;panel&amp;#34;:4,&amp;#34;description&amp;#34;:&amp;#34;standing on one leg with the other knee raised, one arm curved overhead, opposite arm extended to the right in a strong dance line&amp;#34;},{&amp;#34;panel&amp;#34;:5,&amp;#34;description&amp;#34;:&amp;#34;deep squat with legs wide, one hand on thigh and the other arm reaching straight upward&amp;#34;},{&amp;#34;panel&amp;#34;:6,&amp;#34;description&amp;#34;:&amp;#34;light upright pose with one knee lifted and both arms relaxed outward for balance&amp;#34;},{&amp;#34;panel&amp;#34;:7,&amp;#34;description&amp;#34;:&amp;#34;wide stance with both arms crossed tightly in front of the chest, feet planted apart&amp;#34;},{&amp;#34;panel&amp;#34;:8,&amp;#34;description&amp;#34;:&amp;#34;low crouch close to the floor, one hand braced on the ground, the other arm crossing the torso&amp;#34;},{&amp;#34;panel&amp;#34;:9,&amp;#34;description&amp;#34;:&amp;#34;dynamic side-leaning wide stance, one arm bent upward beside the head, opposite arm pointing strongly to the right&amp;#34;},{&amp;#34;panel&amp;#34;:10,&amp;#34;description&amp;#34;:&amp;#34;compact crouch with weight centered low, one elbow resting near a knee and head tilted slightly downward&amp;#34;},{&amp;#34;panel&amp;#34;:11,&amp;#34;description&amp;#34;:&amp;#34;deep side lunge with one leg extended long to the side, one hand on the floor and the other arm reaching straight up&amp;#34;},{&amp;#34;panel&amp;#34;:12,&amp;#34;description&amp;#34;:&amp;#34;upright wide-legged stance, one arm extended vertically overhead, the other hand relaxed near the hip&amp;#34;},{&amp;#34;panel&amp;#34;:13,&amp;#34;description&amp;#34;:&amp;#34;standing balance pose with one knee raised and both hands held low near the thighs&amp;#34;},{&amp;#34;panel&amp;#34;:14,&amp;#34;description&amp;#34;:&amp;#34;low horse stance with knees bent wide and forearms crossed in front of the chest&amp;#34;},{&amp;#34;panel&amp;#34;:15,&amp;#34;description&amp;#34;:&amp;#34;kneeling or very low crouched pose with one hand on the floor and the other resting on the raised knee&amp;#34;},{&amp;#34;panel&amp;#34;:16,&amp;#34;description&amp;#34;:&amp;#34;high side kick, balancing on one leg while the other leg extends horizontally, both arms bent in a guarded fighting pose&amp;#34;}]},&amp;#34;intent&amp;#34;:&amp;#34;a {argument name=\&amp;#34;sheet purpose\&amp;#34; default=\&amp;#34;dance move sheet chart that can also be used for combat pose reference\&amp;#34;}, emphasizing silhouette variety, balance, rhythm, and dynamic athletic body lines&amp;#34;,&amp;#34;image_size&amp;#34;:&amp;#34;landscape 16:9&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;16-格女性舞蹈姿势表&#34;&gt;16 格女性舞蹈姿势表
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe/status/2048143577264402629&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ExquisitMe&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/077.webp&#34;
	width=&#34;1200&#34;
	height=&#34;680&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/077_hu_5a6068da941351fa.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/077_hu_800aceba14c16426.webp 1024w&#34;
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		alt=&#34;16 格女性舞蹈姿势表&#34;
	
	
		class=&#34;gallery-image&#34; 
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;pose reference sheet&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;count&amp;#34;:1,&amp;#34;description&amp;#34;:&amp;#34;a fit young woman dancer shown repeatedly in a clean studio reference layout&amp;#34;,&amp;#34;appearance&amp;#34;:{&amp;#34;gender&amp;#34;:&amp;#34;female&amp;#34;,&amp;#34;age&amp;#34;:&amp;#34;young adult&amp;#34;,&amp;#34;build&amp;#34;:&amp;#34;athletic, toned midriff&amp;#34;,&amp;#34;skin tone&amp;#34;:&amp;#34;light to medium tan&amp;#34;,&amp;#34;hair&amp;#34;:{&amp;#34;color&amp;#34;:&amp;#34;dark brown&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;high messy ponytail with loose strands framing the face&amp;#34;},&amp;#34;expression&amp;#34;:&amp;#34;neutral to focused&amp;#34;},&amp;#34;wardrobe&amp;#34;:{&amp;#34;top&amp;#34;:&amp;#34;charcoal gray sports bra or cropped athletic bralette&amp;#34;,&amp;#34;bottom&amp;#34;:&amp;#34;oversized dark gray parachute cargo pants with gathered ankles&amp;#34;,&amp;#34;shoes&amp;#34;:&amp;#34;white sneakers&amp;#34;,&amp;#34;accessories&amp;#34;:[&amp;#34;black wristband or fingerless glove on one hand&amp;#34;,&amp;#34;subtle sporty styling&amp;#34;]}},&amp;#34;layout&amp;#34;:{&amp;#34;background&amp;#34;:&amp;#34;plain white seamless studio background&amp;#34;,&amp;#34;grid&amp;#34;:{&amp;#34;rows&amp;#34;:4,&amp;#34;columns&amp;#34;:4,&amp;#34;count&amp;#34;:16,&amp;#34;cell labels&amp;#34;:[&amp;#34;1&amp;#34;,&amp;#34;2&amp;#34;,&amp;#34;3&amp;#34;,&amp;#34;4&amp;#34;,&amp;#34;5&amp;#34;,&amp;#34;6&amp;#34;,&amp;#34;7&amp;#34;,&amp;#34;8&amp;#34;,&amp;#34;9&amp;#34;,&amp;#34;10&amp;#34;,&amp;#34;11&amp;#34;,&amp;#34;12&amp;#34;,&amp;#34;13&amp;#34;,&amp;#34;14&amp;#34;,&amp;#34;15&amp;#34;,&amp;#34;16&amp;#34;]},&amp;#34;style&amp;#34;:&amp;#34;clean contact-sheet or choreography chart with thin black dividers between panels and small black numbers at the upper left of each panel&amp;#34;},&amp;#34;poses&amp;#34;:[{&amp;#34;label&amp;#34;:&amp;#34;1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;relaxed standing pose, weight on one leg, one hand near hip, slight contrapposto&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;wide low dance stance, one arm bent behind the head, the other arm extended and pointing to the right&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;legs spread in a grounded stance, torso slightly tilted, one hand resting near the upper thigh&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;very low wide squat facing forward, torso leaning back, one hand near the face and the other near the thigh&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;5&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;wide side lunge stance, one arm arched overhead, the other arm extended outward in a stylized dance line&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;6&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;balancing on one leg with the other knee lifted high, one hand near the face in a punchy hip-hop pose&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;7&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;floorwork pose supported by one hand on the ground, torso reclined sideways, legs bent and lifted in a dynamic breakdance-like position&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;8&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;casual upright pose with one hand behind the head and one knee bent upward&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;9&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;one-legged balance pose with the lifted knee bent, both arms extended outward for motion and rhythm&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;10&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;low kneeling or crouched pose, one knee up and one knee down, one arm thrust forward toward the viewer&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;11&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;deep squat with legs apart, one arm curved overhead in a dramatic arc&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;12&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;standing lean to one side with one arm extended sideways and the other hand near the hip or thigh&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;13&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;reclining floor pose supported by one hand behind the body, one leg bent and one leg extended&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;14&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;upright standing pose with one arm fully extended and pointing to the right&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;15&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;front-facing pose stepping forward with one knee lifted, one arm reaching or pointing forward&amp;#34;},{&amp;#34;label&amp;#34;:&amp;#34;16&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;wide confident stance with one arm pointing diagonally upward to the right&amp;#34;}],&amp;#34;rendering&amp;#34;:{&amp;#34;medium&amp;#34;:&amp;#34;photorealistic studio fashion and dance reference image&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;soft even studio lighting with faint shadows beneath the feet and body&amp;#34;,&amp;#34;camera&amp;#34;:&amp;#34;full-body framing, straight-on view, consistent distance in every panel&amp;#34;,&amp;#34;quality&amp;#34;:&amp;#34;sharp, high-resolution, realistic anatomy and fabric folds&amp;#34;}}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;16-姿势舞蹈参考表&#34;&gt;16 姿势舞蹈参考表
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe/status/2048143577264402629&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ExquisitMe&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ExquisitMe&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/078.webp&#34;
	width=&#34;1199&#34;
	height=&#34;680&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/078_hu_918cd255b0091e22.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/078_hu_bd23bdaedc026045.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;16 姿势舞蹈参考表&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;176&#34;
		data-flex-basis=&#34;423px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;pose reference sheet&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;category&amp;#34;:&amp;#34;female dancer fitness model&amp;#34;,&amp;#34;age_appearance&amp;#34;:&amp;#34;young adult&amp;#34;,&amp;#34;build&amp;#34;:&amp;#34;slim athletic&amp;#34;,&amp;#34;hair&amp;#34;:{&amp;#34;color&amp;#34;:&amp;#34;dark brown&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;high ponytail&amp;#34;},&amp;#34;outfit&amp;#34;:{&amp;#34;top&amp;#34;:&amp;#34;light gray or white sports bra crop top&amp;#34;,&amp;#34;bottom&amp;#34;:&amp;#34;baggy light gray sweatpants&amp;#34;,&amp;#34;shoes&amp;#34;:&amp;#34;white sneakers&amp;#34;},&amp;#34;face&amp;#34;:&amp;#34;softly blurred or de-emphasized facial features&amp;#34;},&amp;#34;style&amp;#34;:{&amp;#34;image_type&amp;#34;:&amp;#34;studio dance pose chart&amp;#34;,&amp;#34;background&amp;#34;:&amp;#34;clean seamless white background&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;bright even studio lighting with minimal shadows&amp;#34;,&amp;#34;color_palette&amp;#34;:&amp;#34;neutral whites and light grays&amp;#34;,&amp;#34;camera&amp;#34;:&amp;#34;full-body framing, straight-on view, consistent distance&amp;#34;,&amp;#34;rendering&amp;#34;:&amp;#34;photorealistic&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;grid&amp;#34;:{&amp;#34;rows&amp;#34;:4,&amp;#34;columns&amp;#34;:4,&amp;#34;count&amp;#34;:16,&amp;#34;border&amp;#34;:&amp;#34;thin black dividers between cells&amp;#34;},&amp;#34;numbering&amp;#34;:{&amp;#34;count&amp;#34;:16,&amp;#34;labels&amp;#34;:[&amp;#34;1&amp;#34;,&amp;#34;2&amp;#34;,&amp;#34;3&amp;#34;,&amp;#34;4&amp;#34;,&amp;#34;5&amp;#34;,&amp;#34;6&amp;#34;,&amp;#34;7&amp;#34;,&amp;#34;8&amp;#34;,&amp;#34;9&amp;#34;,&amp;#34;10&amp;#34;,&amp;#34;11&amp;#34;,&amp;#34;12&amp;#34;,&amp;#34;13&amp;#34;,&amp;#34;14&amp;#34;,&amp;#34;15&amp;#34;,&amp;#34;16&amp;#34;],&amp;#34;position&amp;#34;:&amp;#34;top-left corner of each panel&amp;#34;},&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;row 1&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;1 side lunge with one arm extended straight sideways and the other bent near chest&amp;#34;,&amp;#34;2 low floor pose leaning on one hand with one knee down and opposite arm arched upward&amp;#34;,&amp;#34;3 wide squat facing front with both arms opened in angular dance position&amp;#34;,&amp;#34;4 standing balance on one leg with opposite knee lifted and forearms crossed near chest&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;row 2&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;upper-middle&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;5 deep backbend in wide stance with torso arched and one arm curved overhead&amp;#34;,&amp;#34;6 wide squat with one hand behind head and the other arm pointing outward&amp;#34;,&amp;#34;7 kneeling side stretch with one hand on floor and opposite arm reaching straight up&amp;#34;,&amp;#34;8 standing arabesque-style extension with torso tilted forward and one leg lifted high behind/sideways&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;row 3&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;lower-middle&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;9 wide squat with torso tilted left, one arm curved overhead and one arm extended low&amp;#34;,&amp;#34;10 front-facing wide squat with both arms stretched diagonally in opposite directions&amp;#34;,&amp;#34;11 relaxed standing pose with legs apart and both forearms crossing in front of torso&amp;#34;,&amp;#34;12 floor recline supported on one hand and one knee, torso leaning back with bent legs&amp;#34;]},{&amp;#34;title&amp;#34;:&amp;#34;row 4&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom&amp;#34;,&amp;#34;count&amp;#34;:4,&amp;#34;labels&amp;#34;:[&amp;#34;13 small jump or lifted balance with one knee raised and one arm bent upward&amp;#34;,&amp;#34;14 low crouch squat with one hand reaching toward floor and other arm extended sideways&amp;#34;,&amp;#34;15 dramatic side backbend in wide stance with hair swinging and one arm curved overhead&amp;#34;,&amp;#34;16 powerful wide squat with one hand at chest and the other lowered to the side&amp;#34;]}],&amp;#34;overall_composition&amp;#34;:&amp;#34;all 16 poses shown as separate panels in a uniform contact sheet&amp;#34;},&amp;#34;prompt&amp;#34;:&amp;#34;Create a clean studio contact sheet of {argument name=\&amp;#34;pose count\&amp;#34; default=\&amp;#34;16\&amp;#34;} full-body dance or combat-reference poses featuring a {argument name=\&amp;#34;subject type\&amp;#34; default=\&amp;#34;young athletic woman\&amp;#34;} in a {argument name=\&amp;#34;outfit\&amp;#34; default=\&amp;#34;light gray sports bra, loose gray sweatpants, and white sneakers\&amp;#34;}. Use a seamless {argument name=\&amp;#34;background color\&amp;#34; default=\&amp;#34;white\&amp;#34;} background, bright even lighting, and a consistent straight-on camera. Arrange the poses in a 4x4 grid with thin black panel lines and small black numbers 1 through 16 in the top-left of each cell. The poses should mix standing, squatting, kneeling, floorwork, balance, kick-extension, backbend, and angular arm positions suitable for a dance sheet chart or combat movement reference. Keep the styling photorealistic, crisp, minimal, and instructional, with consistent wardrobe and hair across all panels.&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;气态巨行星下降分镜&#34;&gt;气态巨行星下降分镜
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/xRahultripathi/status/2048140775356354892&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/xRahultripathi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@xRahultripathi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/079.webp&#34;
	width=&#34;1200&#34;
	height=&#34;676&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/079_hu_8b65f2fca14570b3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/079_hu_ec4b1b2c4e1077ff.webp 1024w&#34;
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		alt=&#34;气态巨行星下降分镜&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;cinematic sci-fi storyboard contact sheet&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;primary&amp;#34;:&amp;#34;a small futuristic spacecraft descending into a massive gas giant storm system&amp;#34;,&amp;#34;secondary&amp;#34;:&amp;#34;an enormous leviathan-like silhouette hidden within the clouds&amp;#34;,&amp;#34;mood&amp;#34;:&amp;#34;oppressive, catastrophic, awe-struck, high tension, cosmic dread&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;photorealistic cinematic concept art with dark sci-fi realism, volumetric storm clouds, strong contrast, amber and black palette with occasional cold blue lightning&amp;#34;,&amp;#34;aspect_ratio&amp;#34;:&amp;#34;16:9&amp;#34;},&amp;#34;vehicle&amp;#34;:{&amp;#34;design&amp;#34;:&amp;#34;compact armored deep-atmosphere ship with 3 bright rear engines, angular industrial hull, worn metallic panels&amp;#34;,&amp;#34;scale&amp;#34;:&amp;#34;tiny compared to the planet and creature&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;grid&amp;#34;:{&amp;#34;rows&amp;#34;:3,&amp;#34;columns&amp;#34;:4,&amp;#34;count&amp;#34;:12},&amp;#34;sections&amp;#34;:[{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;wide exterior shot of the ship entering the upper atmosphere of a colossal gas giant at extreme speed, glowing clouds streaked with fire and friction around the vessel, curved planetary horizon visible&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;cockpit POV, dark interior filled with red and cyan holographic instruments, forward visibility collapsing into turbulent storm layers and electrical haze&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;exterior mid-wide shot of the ship diving into a gigantic rotating cloud funnel, surrounded by violent spiraling storm structure&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;extreme close exterior of the ship hull as bright lightning strikes dangerously close, white electric energy crawling across the metal surface&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;dashboard warning screen in red, showing a critical systems failure interface with the exact visible text count of 4 warning lines and 1 large percentage readout: [&amp;#39;WARNING&amp;#39;,&amp;#39;ENGINES COMPROMISED&amp;#39;,&amp;#39;THRUST FLUCTUATION&amp;#39;,&amp;#39;GRAVITY SPIKE DETECTED&amp;#39;,&amp;#39;DESCENT RATE -453%&amp;#39;]&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;rear three-quarter exterior of the ship fighting turbulence inside dense storm clouds, engines burning hard while the craft barely holds course&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;massive circular disturbance forming in the clouds like an eye or maw, entire storm systems displaced by something huge moving beneath&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;second cockpit view with radar-like navigation display and red alert text, pilot making a blind evasive maneuver through lightning-filled darkness&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;first reveal of the colossal creature shape rising near the ship, black organic surface and immense curved anatomy emerging from darkness, ship tiny at lower left&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;spiral descent shot, ship caught inside a vortex tunnel of clouds, spinning downward with engines flaring as it struggles to recover&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;sudden breakthrough into a calm void, minimal composition, ship flying in eerie silence through dark open space with soft mist and no visible storm around it&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;final reveal, gigantic leviathan fully emerging behind or beside the ship in cleared space, backlit by a pale circular storm opening, enormous open maw-like silhouette dwarfing the craft&amp;#34;}],&amp;#34;continuity&amp;#34;:&amp;#34;all 12 panels depict one continuous descent sequence from atmospheric entry to final creature reveal&amp;#34;},&amp;#34;lighting&amp;#34;:{&amp;#34;primary&amp;#34;:&amp;#34;glowing amber storm light&amp;#34;,&amp;#34;secondary&amp;#34;:&amp;#34;red cockpit interface glow&amp;#34;,&amp;#34;accents&amp;#34;:&amp;#34;blue-white lightning and engine exhaust&amp;#34;},&amp;#34;environment&amp;#34;:{&amp;#34;location&amp;#34;:&amp;#34;inside the upper and middle storm layers of a gigantic gas giant&amp;#34;,&amp;#34;weather&amp;#34;:&amp;#34;violent turbulence, electrical storms, vortex funnels, cloud walls, pressure chaos&amp;#34;,&amp;#34;threat&amp;#34;:&amp;#34;no safe zone, repeated near-failure, unknown colossal presence driving the storm&amp;#34;}}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;超现实巴洛克绘画现实裂隙&#34;&gt;超现实巴洛克绘画现实裂隙
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/JohnnyWang8802/status/2048129335853559824&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/JohnnyWang8802&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@JohnnyWang8802&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/080.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/080_hu_f7cfa4116ae04487.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/080_hu_a2a534f0c6c47a7.webp 1024w&#34;
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		alt=&#34;超现实巴洛克绘画现实裂隙&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A {argument name=&amp;#34;painting style&amp;#34; default=&amp;#34;baroque oil painting&amp;#34;} comes to life — its painted figures climbing out of the gilded frame into a {argument name=&amp;#34;setting&amp;#34; default=&amp;#34;modern white gallery&amp;#34;}, half their bodies still in flat 2D paint, half fully volumetric 3D humans, brushstrokes visible on their skin, the painting&amp;#39;s background leaking watercolor clouds into the gallery ceiling, museum visitors frozen in shock, hyper-detailed, {argument name=&amp;#34;artist influence&amp;#34; default=&amp;#34;René Magritte meets Pixar&amp;#34;}, reality fracturing at every boundary
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;城市小巷壁画艺术家&#34;&gt;城市小巷壁画艺术家
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Professor_134/status/2048066672398102896&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Professor_134&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Professor_134&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/081.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/081_hu_27c628d6f3b8d9ae.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/081_hu_237b894b0489f783.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;城市小巷壁画艺术家&#34;
	
	
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		data-flex-grow=&#34;80&#34;
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic, ultra-realistic night scene of a {argument name=&amp;#34;artist&amp;#34; default=&amp;#34;young male street artist&amp;#34;} painting a large-scale {argument name=&amp;#34;mural subject&amp;#34; default=&amp;#34;mural of a woman’s face&amp;#34;} in a {argument name=&amp;#34;setting&amp;#34; default=&amp;#34;narrow urban alley&amp;#34;}. The camera angle is slightly low, creating a dramatic, powerful perspective. The artist has medium-length, slightly messy dark hair and light stubble or a short beard, giving him a rugged, creative look.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;He wears a loose white t-shirt and casual jeans, slightly oversized, with a relaxed streetwear vibe. His posture is focused and engaged as he stands close to the wall, actively spray-painting.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;He is creating a massive, hyper-realistic mural of a woman’s face on a textured brick wall. The mural is incredibly detailed—smooth skin tones, realistic lighting, expressive eyes, and glossy lips—appearing almost like a photograph. Fine mist from the spray paint is visible in the air, catching light and adding motion and atmosphere.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The setting is a narrow urban alley at night, surrounded by tall buildings. The environment is gritty and textured—aged brick walls, paint splashes, subtle grime, and urban wear. Neon signs and distant streetlights cast vibrant reflections in teal, magenta, and blue tones, creating a cinematic, slightly cyberpunk mood.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting is dramatic and layered: cool ambient light fills the alley, while warmer neon highlights create contrast. A subtle rim light outlines the artist’s silhouette, separating him from the dark background. The mural is partially illuminated, acting as a strong focal point.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Atmosphere includes light fog or mist, enhancing depth and making the lighting glow softly. The scene feels immersive, quiet, and artistically intense.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Depth of field is moderately shallow: the artist and mural are in sharp focus, while the background fades into soft blur with bokeh highlights.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: hyper-realistic, cinematic photography, street art aesthetic, ultra-detailed textures, high dynamic range, subtle film grain.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Camera details: 35mm or 50mm lens, f/1.8–f/2.8 aperture, low-light photography, slight low-angle shot, natural perspective.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Composition: vertical frame (4:5 or 9:16), subject slightly off-center, mural dominating the frame for strong visual storytelling.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Generate image using uploaded image as reference
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;rpg-地图转动漫事件场景&#34;&gt;RPG 地图转动漫事件场景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ArtwlDesign/status/2048054726768709769&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ArtwlDesign&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ArtwlDesign&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/082.webp&#34;
	width=&#34;1200&#34;
	height=&#34;670&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/082_hu_5fa142826c4329ce.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/082_hu_6fbce33f5d6ee037.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;RPG 地图转动漫事件场景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;179&#34;
		data-flex-basis=&#34;429px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Using the provided reference image, transform the top-down RPG town map into a polished anime-style event illustration from a human eye-level perspective. Keep the same village location and layout cues: the central stone well, the path network, the hedges, the wooden houses, and the narrow water canal on the left. Convert the 2 small sprite characters by the well into 2 full-size fantasy characters in the foreground: a silver-haired mage in a purple robe holding a staff, and a blonde elf in green-and-brown adventurer clothing, both leaning over and looking into the well. Add a cinematic JRPG feel with soft daylight, detailed painterly rendering, clean line art, and gentle depth of field. Preserve the sense that this scene is taking place in the same town square, but enrich it with natural perspective, more environmental detail, and 5 background villagers: 1 man cropped at the far left edge, 2 small figures standing on the center path in the distance, and 2 townspeople talking near the right-side buildings.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;柔和粉彩动漫少女全身像&#34;&gt;柔和粉彩动漫少女全身像
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/hoshi122221/status/2048025730425196801&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/hoshi122221&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@hoshi122221&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/083.webp&#34;
	width=&#34;848&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/083_hu_26ed0e341e792fed.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/083_hu_9903bb8f94f62715.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;柔和粉彩动漫少女全身像&#34;
	
	
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		data-flex-grow=&#34;70&#34;
		data-flex-basis=&#34;169px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A full-body anime girl character design on a plain white background, centered and floating slightly, drawn in a soft minimalist pastel style with very thin gray linework and delicate flat colors. She has a petite youthful build and a cute, gentle silhouette, with special emphasis on a soft rounded face shape, smooth cheeks, and a softened jawline and chin. Her face is completely obscured by a blank skin-colored rectangular block with no facial features visible. She has short bob hair in {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;light ash brown&amp;#34;}, slightly tousled with wispy ends, long bangs covering part of the forehead, and a small ribbon hair tie on the right side in pale blue-gray. She wears 3 visible clothing pieces: an oversized pale blue cardigan with loose sleeves and front buttons, a cream-white slip dress with a scalloped neckline and a tiny button detail at the chest, and a frilled hem with a small ribbon near the right thigh. She is barefoot with slim pale legs, posed front-facing with both arms relaxed slightly outward, open hands, one leg straight and the other gently bent inward for a shy, weightless look. The illustration should feel airy, cute, understated, and clean, like a simple Japanese anime fashion sketch, with lots of negative space and no props, no shadows, and no background elements.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;都市奇幻共存路口&#34;&gt;都市奇幻共存路口
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Ray_CROWN0/status/2048024227664494775&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Ray_CROWN0&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Ray_CROWN0&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/084.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/084_hu_e9ef25b7a1fdff74.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/084_hu_70840d2c5970afb3.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;都市奇幻共存路口&#34;
	
	
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&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A highly detailed anime-style urban fantasy illustration set at a busy Tokyo-style scramble crossing on a bright clear day, viewed at street level with a wide cinematic composition. The city blends modern realism with mythic fantasy: dense high-rise buildings covered in giant billboards, a red broadcast tower in the middle distance, blue sky with fluffy clouds, and a crowded crosswalk full of pedestrians. In the foreground, show 7 prominent character figures: a silver-haired elf woman in a flowing white dress holding an iced drink and tote bag on the far left; a central schoolgirl with long dark hair, black animal ears, a navy school blazer, plaid skirt, blue ribbon, and large navy shoulder bag, lifting one hand to her head; a young man in a dark suit looking down at a smartphone; an androgynous white-haired angelic figure in an elegant white-and-gold ceremonial outfit with large white wings; a small blonde girl in an ornate pastel pink frilled dress beside the angel; a dark-haired woman in a black coat in right foreground profile; and a small blue-haired cat-eared child in a blue dress with a bow standing near a cave entrance on the right. In the midground crowd, include mixed humans and fantasy races walking together naturally. Add 4 clearly visible nonhuman or supernatural background beings: 1 dragon flying in the sky, 1 winged female angel descending above the street, 1 lizard-headed businessman in a suit near the angelic figure, and 1 tall red-skinned horned demon with crossed arms standing by the hillside path. On the right side, transition the city into a lush shrine hillside with large green trees, a red torii gate, stone steps, and a wooden signboard reading Japanese kanji. Below it, place a rocky cave-like tunnel entrance glowing blue, with a wooden sign over the entrance and several figures descending into an underground shared district lit by crystals. Show 6 major billboard/sign elements across the cityscape: a huge left billboard reading &amp;#34;Shinpi Sekai 神秘世界&amp;#34; with a cosmic planet image; a large central political poster with Japanese text and a raised fist icon; 2 rooftop signs reading &amp;#34;未来研究所&amp;#34; on separate buildings; a large right billboard with Japanese text about coexistence and silhouettes of different beings; and 1 vertical banner with Japanese text on a nearby building. Emphasize the theme of coexistence between ordinary modern city life and hidden fantasy societies. Crisp anime linework, polished light novel key visual rendering, rich textures, soft sunlight, subtle atmospheric perspective, vibrant but believable colors, intricate clothing details, and a sense of awe, everyday bustle, and worldbuilding depth.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;亲子误解信息图&#34;&gt;亲子误解信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sarinaashapi/status/2048307780864606708&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sarinaashapi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sarinaashapi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/085.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/085_hu_26d0e5c826e59305.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/085_hu_fa7e495c6ca472c4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;亲子误解信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;Japanese infographic&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;simple, easy-to-understand flat vector diagram, clean white background, rounded light-gray outer frame, minimal pastel color palette, presentation-slide design, clear hierarchy, lots of whitespace, modern sans-serif Japanese typography&amp;#34;,&amp;#34;canvas&amp;#34;:{&amp;#34;aspect_ratio&amp;#34;:&amp;#34;16:9&amp;#34;},&amp;#34;headline&amp;#34;:{&amp;#34;text&amp;#34;:&amp;#34;{argument name=\&amp;#34;headline text\&amp;#34; default=\&amp;#34;親子のすれ違いは、記録があるかないかで起こる\&amp;#34;}&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top center&amp;#34;,&amp;#34;size&amp;#34;:&amp;#34;large bold black&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;structure&amp;#34;:&amp;#34;2 side-by-side rounded panels beneath the headline&amp;#34;,&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;記録がない場合(ズレる)&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;left&amp;#34;,&amp;#34;count&amp;#34;:8,&amp;#34;header_color&amp;#34;:&amp;#34;muted blue-gray&amp;#34;,&amp;#34;panel_border&amp;#34;:&amp;#34;light gray&amp;#34;,&amp;#34;labels&amp;#34;:[&amp;#34;親の記憶&amp;#34;,&amp;#34;子どもの記憶&amp;#34;,&amp;#34;あのとき決まったよね&amp;#34;,&amp;#34;まだ考えてたのに&amp;#34;,&amp;#34;ズレが大きくなる&amp;#34;,&amp;#34;志望校がコロコロ変わる&amp;#34;,&amp;#34;理由が『なんとなく』&amp;#34;,&amp;#34;言ってることが違う&amp;#34;,&amp;#34;関係がギクシャク&amp;#34;,&amp;#34;現実を見てほしい&amp;#34;,&amp;#34;ちゃんと決めてほしい&amp;#34;,&amp;#34;口を出しすぎると関係が悪くなる&amp;#34;],&amp;#34;contents&amp;#34;:{&amp;#34;top_left&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;parent icon with thought bubble&amp;#34;,&amp;#34;icon_color&amp;#34;:&amp;#34;blue&amp;#34;,&amp;#34;caption&amp;#34;:&amp;#34;親の記憶&amp;#34;,&amp;#34;bubble_text&amp;#34;:&amp;#34;あのとき\n決まったよね&amp;#34;},&amp;#34;top_right&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;child icon with thought bubble&amp;#34;,&amp;#34;icon_color&amp;#34;:&amp;#34;pink&amp;#34;,&amp;#34;caption&amp;#34;:&amp;#34;子どもの記憶&amp;#34;,&amp;#34;bubble_text&amp;#34;:&amp;#34;まだ考えてたのに&amp;#34;},&amp;#34;center&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;horizontal double-headed arrow&amp;#34;,&amp;#34;color&amp;#34;:&amp;#34;blue-gray&amp;#34;},&amp;#34;bottom_center&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;downward arrow leading to burst shape&amp;#34;,&amp;#34;color&amp;#34;:&amp;#34;light gray&amp;#34;,&amp;#34;burst_text&amp;#34;:&amp;#34;ズレが\n大きくなる&amp;#34;},&amp;#34;bottom_left&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;rounded note box&amp;#34;,&amp;#34;bullet_count&amp;#34;:4,&amp;#34;bullets&amp;#34;:[&amp;#34;志望校がコロコロ変わる&amp;#34;,&amp;#34;理由が『なんとなく』&amp;#34;,&amp;#34;言ってることが違う&amp;#34;,&amp;#34;関係がギクシャク&amp;#34;]},&amp;#34;bottom_right&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;rounded note box&amp;#34;,&amp;#34;bullet_count&amp;#34;:3,&amp;#34;bullets&amp;#34;:[&amp;#34;現実を見てほしい&amp;#34;,&amp;#34;ちゃんと決めてほしい&amp;#34;,&amp;#34;口を出しすぎると関係が悪くなる&amp;#34;]}}},{&amp;#34;title&amp;#34;:&amp;#34;記録がある場合(ズレにくい)&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;right&amp;#34;,&amp;#34;count&amp;#34;:7,&amp;#34;header_color&amp;#34;:&amp;#34;mustard yellow&amp;#34;,&amp;#34;panel_border&amp;#34;:&amp;#34;light yellow&amp;#34;,&amp;#34;labels&amp;#34;:[&amp;#34;親の認識&amp;#34;,&amp;#34;子どもの認識&amp;#34;,&amp;#34;記録&amp;#34;],&amp;#34;contents&amp;#34;:{&amp;#34;top_left&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;parent icon with thought bubble containing document symbol&amp;#34;,&amp;#34;icon_color&amp;#34;:&amp;#34;blue&amp;#34;,&amp;#34;caption&amp;#34;:&amp;#34;親の認識&amp;#34;},&amp;#34;top_right&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;child icon with thought bubble containing document symbol&amp;#34;,&amp;#34;icon_color&amp;#34;:&amp;#34;pink&amp;#34;,&amp;#34;caption&amp;#34;:&amp;#34;子どもの認識&amp;#34;},&amp;#34;center&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;horizontal double-headed arrow&amp;#34;,&amp;#34;color&amp;#34;:&amp;#34;mustard yellow&amp;#34;},&amp;#34;bottom_center&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;circular record icon with document symbol&amp;#34;,&amp;#34;outline_color&amp;#34;:&amp;#34;mustard yellow&amp;#34;,&amp;#34;text&amp;#34;:&amp;#34;記録&amp;#34;},&amp;#34;bottom_left_connector&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;curved arrow from parent to record&amp;#34;,&amp;#34;color&amp;#34;:&amp;#34;blue&amp;#34;},&amp;#34;bottom_right_connector&amp;#34;:{&amp;#34;type&amp;#34;:&amp;#34;curved arrow from child to record&amp;#34;,&amp;#34;color&amp;#34;:&amp;#34;pink&amp;#34;}}}],&amp;#34;spacing&amp;#34;:&amp;#34;balanced, symmetrical&amp;#34;},&amp;#34;visual_language&amp;#34;:{&amp;#34;icons&amp;#34;:&amp;#34;generic human bust icons and simple document line icons&amp;#34;,&amp;#34;emphasis&amp;#34;:&amp;#34;contrast the left panel&amp;#39;s misunderstanding with the right panel&amp;#39;s shared record&amp;#34;,&amp;#34;mood&amp;#34;:&amp;#34;educational, calm, practical&amp;#34;},&amp;#34;text_language&amp;#34;:&amp;#34;Japanese&amp;#34;,&amp;#34;render_quality&amp;#34;:&amp;#34;crisp vector edges, infographic suitable for social media educational posts&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;好洗澡日编辑风海报&#34;&gt;好洗澡日编辑风海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Kazuch75240438/status/2048205418238030327&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Kazuch75240438&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Kazuch75240438&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/086.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/086_hu_d9cf8eee6ceebcb6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/086_hu_86ce7cfe747e2670.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;好洗澡日编辑风海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a soft editorial lifestyle poster for {argument name=&amp;#34;event date&amp;#34; default=&amp;#34;4.26&amp;#34;} celebrating Japanese bath culture, designed like a refined magazine feature page in portrait orientation. The layout is split into two main columns with a pale cream and warm gray background, thin divider lines, elegant serif typography, and muted sage-green accents. At the top left, include the small heading “LIFESTYLE / FEATURE”, then a large date line reading “{argument name=&amp;#34;event date&amp;#34; default=&amp;#34;4.26&amp;#34;} EVENT”, followed by the large Japanese title “よい風呂の日” and the subtitle “特集” in sage green, with a small bathtub icon nearby. Beneath that, add the Japanese tagline “心も体も、ととのう時間。” and several short body-text blocks in Japanese explaining the meaning of Good Bath Day, including references to “4(よ)2(ふ)6(ろ)” and the benefits of bathing for body and mind. On the right side, show a bright, airy bathroom interior lit by soft natural morning light from a window, with beige and off-white tones, a wooden counter, folded white towels, a pump bottle, a sponge, woven baskets, and a few green plants. In front of the bathroom scene, place a youthful anime-style person with {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;soft medium brown&amp;#34;} tousled short hair, fair skin, and a relaxed expression, standing in a casual post-bath pose. The character wears a loose white T-shirt with a tiny dark square chest logo and light brown drawstring lounge pants, one hand in a pocket and the other holding a white towel up near the face and shoulder, conveying a fresh, just-bathed feeling. Near the character, include the handwritten-style Japanese side note “湯上がりの、リラックスタイム。” Add an oval badge on the lower right of the main image area with the English heading “GOOD BATH DAY” and Japanese explanatory text inside, plus a small bathtub icon. Below the main feature, include exactly 2 small inset images of the same character in the bathroom, each framed as rectangular mini-panels with narrow vertical Japanese captions beside them. At the bottom, create exactly 4 rounded rectangular information cards in a row: card 1 labeled “POINT 01” with the heading “お風呂の基本” and text about soaking in lukewarm water around 38–40°C; card 2 labeled “POINT 02” with the heading “日常でできること” and text about making bathing part of a routine instead of only showering; card 3 labeled “POINT 03” with the heading “楽しみ方・取り入れ方” and text about bath salts, scents, music, and lighting; card 4 labeled “まとめ” with concluding Japanese text about sustainable self-care. Decorate the cards with small illustrated elements such as leaves, a bathtub, a candle, a bottle, lavender sprigs, and a basket of folded towels. Along the very bottom, add a horizontal green tip strip labeled “今日からできる TIP” with exactly 3 checklist items: “就寝の1〜2時間前に入浴する”, “スマホは浴室に持ち込まない”, and “水分補給を忘れずに”. Place a final handwritten-style Japanese phrase at the lower right reading “自分をいたわる時間を。” The overall look should be clean, gentle, wellness-focused, feminine-neutral, and polished like a Japanese seasonal magazine infographic, with delicate anime illustration, soft shadows, subtle textures, and calm spa-like atmosphere.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日式科幻换装流程板&#34;&gt;日式科幻换装流程板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yy7482933910896/status/2048192904922075161&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yy7482933910896&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yy7482933910896&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/087.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/087_hu_b07edc1e2ab93dae.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/087_hu_7eadfa0842e62977.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日式科幻换装流程板&#34;
	
	
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		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;Japanese sci-fi armor dressing-process infographic&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;cinematic live-action tokusatsu-inspired promotional board, realistic industrial lighting, polished metal surfaces, sharp photographic detail&amp;#34;,&amp;#34;theme&amp;#34;:&amp;#34;manual pre-battle suit-up sequence for a female hero in a red, silver, black, and blue protector suit&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;character&amp;#34;:{&amp;#34;gender&amp;#34;:&amp;#34;female&amp;#34;,&amp;#34;age&amp;#34;:&amp;#34;young adult&amp;#34;,&amp;#34;identity&amp;#34;:&amp;#34;helmetless heroine during assembly, face intentionally obscured or anonymized in every unhelmeted panel&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;dark brown to black hair tied in a high ponytail with bangs&amp;#34;,&amp;#34;undersuit&amp;#34;:&amp;#34;glossy black skintight inner suit with silver chest panel and white neck ring&amp;#34;,&amp;#34;armor&amp;#34;:&amp;#34;retro-futuristic protector armor with red shoulder and arm plates, silver breastplate and torso plating, circular blue chest core, red waist unit, white gloves, red forearm guards with yellow stripe accents&amp;#34;,&amp;#34;helmet&amp;#34;:&amp;#34;round red-and-silver helmet with black visor&amp;#34;},&amp;#34;environment&amp;#34;:{&amp;#34;location&amp;#34;:&amp;#34;high-tech industrial hangar or armor bay&amp;#34;,&amp;#34;background elements&amp;#34;:[&amp;#34;metal framework&amp;#34;,&amp;#34;robotic equipment&amp;#34;,&amp;#34;tool benches&amp;#34;,&amp;#34;armor racks&amp;#34;,&amp;#34;computer monitors&amp;#34;,&amp;#34;workshop lighting&amp;#34;,&amp;#34;bay corridor marked BAY-07 in final panel&amp;#34;]}},&amp;#34;layout&amp;#34;:{&amp;#34;header&amp;#34;:{&amp;#34;count&amp;#34;:2,&amp;#34;labels&amp;#34;:[&amp;#34;ソルジャンヌ・スーツ 手動装着プロセス&amp;#34;,&amp;#34;専用プロテクタースーツ『ソルジャンヌ』を、戦闘前に手動で装着する様子。各ユニットを確実に装着し、システムを起動する。&amp;#34;],&amp;#34;design&amp;#34;:&amp;#34;wide black-to-red gradient banner across top, large bold white Japanese text, diagonal red accent&amp;#34;},&amp;#34;sections&amp;#34;:[{&amp;#34;title&amp;#34;:&amp;#34;1 インナースーツの確認&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top-left&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;各部のセンサーとコネクタをチェック。戦闘に備え、身体の状態を最終認する。&amp;#34;],&amp;#34;image&amp;#34;:&amp;#34;three-quarter view of the heroine in only the black glossy inner suit, looking down while checking or tightening a wrist connector&amp;#34;},{&amp;#34;title&amp;#34;:&amp;#34;2 胸部・肩部アーマーの装着&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top-center&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;胸部ユニットと肩部プロテクターを装着。コネクタを接続し、ロックを固定する。&amp;#34;],&amp;#34;image&amp;#34;:&amp;#34;mid shot with chest armor and red shoulder plates installed, heroine fastening the front torso area with both hands&amp;#34;},{&amp;#34;title&amp;#34;:&amp;#34;3 腰部ユニット・ベルトの固定&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;top-right&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;ウエストユニットを装着し、各部のロックを確認。可動部の動作チェックを行う。&amp;#34;],&amp;#34;image&amp;#34;:&amp;#34;mid shot with torso armor completed, heroine tightening or checking the waist belt and side locks&amp;#34;},{&amp;#34;title&amp;#34;:&amp;#34;4 ヘルメットの準備&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom-left&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;ヘルメットのバイザーと内部システムをチェック。ヘッドセットとの同期を確認する。&amp;#34;],&amp;#34;image&amp;#34;:&amp;#34;heroine holding the red helmet in both hands at chest height, showing the glossy black visor&amp;#34;},{&amp;#34;title&amp;#34;:&amp;#34;5 ヘルメットの装着・システム起動&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom-center&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;ヘルメットを装着し、直上のコネクタをロック。全身のシステムが起動し、胸部コアが発光する。&amp;#34;],&amp;#34;image&amp;#34;:&amp;#34;heroine placing the helmet onto her head with both hands; blue chest core glowing brightly&amp;#34;},{&amp;#34;title&amp;#34;:&amp;#34;6 装着完了&amp;#34;,&amp;#34;position&amp;#34;:&amp;#34;bottom-right&amp;#34;,&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;全システムの最終チェックを行い、戦闘モードへ。ソルジャンヌ、出撃準備完了!&amp;#34;],&amp;#34;image&amp;#34;:&amp;#34;full-body frontal hero pose in a futuristic corridor, fully suited with helmet on, arms relaxed at sides&amp;#34;}],&amp;#34;footer&amp;#34;:{&amp;#34;count&amp;#34;:1,&amp;#34;labels&amp;#34;:[&amp;#34;一つ一つの装着が、命を守り、力を引き出す。 ソルジャンヌの戦いは、ここから始まる。&amp;#34;],&amp;#34;design&amp;#34;:&amp;#34;dark red cinematic footer strip with centered white Japanese slogan&amp;#34;},&amp;#34;grid&amp;#34;:{&amp;#34;rows&amp;#34;:2,&amp;#34;columns&amp;#34;:3,&amp;#34;panel_count&amp;#34;:6,&amp;#34;panel_borders&amp;#34;:&amp;#34;thin white dividers&amp;#34;,&amp;#34;number_badges&amp;#34;:6}},&amp;#34;text_rendering&amp;#34;:{&amp;#34;language&amp;#34;:&amp;#34;Japanese&amp;#34;,&amp;#34;font&amp;#34;:&amp;#34;bold sans-serif headline with smaller sans-serif body text&amp;#34;,&amp;#34;colors&amp;#34;:&amp;#34;white text on black, red, and white info bars; red numbered squares with white numerals&amp;#34;},&amp;#34;composition&amp;#34;:&amp;#34;16:9 wide infographic board, six equal photo panels arranged in a 3-by-2 grid, each panel captioned below with a red numbered box from 1 to 6&amp;#34;,&amp;#34;lighting&amp;#34;:&amp;#34;moody workshop lighting with metallic reflections and red accent lights, realistic shadows, cinematic sci-fi atmosphere&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;梦幻涩谷泡泡少女&#34;&gt;梦幻涩谷泡泡少女
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/terunari/status/2048308270914490666&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/terunari&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@terunari&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/088.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/088_hu_ac2ca09b4bcbac9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/088_hu_d945777b617775df.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;梦幻涩谷泡泡少女&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dreamy anime-style full-body illustration of a fashionable young woman standing in the middle of the Shibuya scramble crossing in Tokyo on a bright clear day, with the iconic cylindrical SHIBUYA 109 building centered in the background and recognizable commercial billboards surrounding it, including signs resembling H&amp;amp;M, DHC, DMM TV, Big Echo, and other dense Japanese city advertisements. She is the single main subject, posed gracefully as if floating or weightless, standing on top of one giant iridescent translucent soap bubble beneath her skirt. Her face is softly obscured and de-emphasized, while her long dark violet-black hair flows dramatically in the wind, with soft bangs and a pink floral headband accessory with ribbon on one side. She wears a sweet feminine spring outfit in pastel pink: a long-sleeved frilled blouse under a sleeveless pink dress with a ribbon tie at the chest, a tan belt at the waist, layered ruffles at the hem, and subtle sakura flower embroidery near the lower skirt. Her expression and body language should feel gentle, elegant, whimsical, and slightly magical. One hand is raised with her index finger pointing upward toward a floating bubble that contains 1 smartphone; her other hand holds a loop handle attached to a large transparent iridescent shopping-bag-like bubble containing 3 visible items: 1 SHIBUYA 109 paper shopping bag, 1 pink shopping bag or package, and 1 small pink bunny-faced pouch. Also include 1 separate floating smartphone/tablet-like device outside the bubbles near the lower left side, and 1 floating bubble on the lower right containing 1 compact camera. Surround her with many soap bubbles of different sizes, all highly reflective with rainbow highlights and delicate transparency, creating a soft sparkling atmosphere. The city scene should be busy but slightly softened, with pedestrians in the far background, crosswalk stripes in the foreground, and warm sunlight filtering through the urban canyon. Use polished high-detail anime illustration rendering, luminous pastel colors, glossy reflections, soft bloom, a romantic spring palette, and a magical everyday Tokyo aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;暴风雨热带城市与屋顶飞机&#34;&gt;暴风雨热带城市与屋顶飞机
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Gerry/status/2048303505702629537&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Gerry&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Gerry&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/089.webp&#34;
	width=&#34;1199&#34;
	height=&#34;678&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/089_hu_8c85bf73daf63068.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/089_hu_e78d6f4e7fd96e6f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;暴风雨热带城市与屋顶飞机&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;176&#34;
		data-flex-basis=&#34;424px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic wide aerial view of a tropical coastal city at sunset during a violent storm, split dramatically between dark storm clouds on the left and blazing golden sunlight on the right. In the foreground, a small single-engine light airplane with a high wing and visible tail is parked or perched precariously on a flat rooftop, seen from behind and slightly above, centered near the bottom of the frame. To the left midair, 1 helicopter flies low over the city with its searchlight cast downward. In the sky, include 1 faint lightning bolt on the far left. The city below is dense with wet streets, reflective pavement, low-rise commercial buildings, and a few taller modern towers, including 1 prominent striped high-rise near the center. A glowing red circular neon sign is visible near the middle distance. On the right side, a calm bay or inlet curves through the city, lined with 1 row of tall palm trees along the waterfront road, and crossed by 1 long low bridge in the distance. The water and streets glisten from recent rain, reflecting the orange sunlight breaking through the clouds. Mood is tense, dramatic, and slightly surreal, like a movie still from an urban disaster thriller. Photorealistic, ultra-detailed, high dynamic range lighting, volumetric sun rays, storm atmosphere, wet surfaces, rich contrast, deep shadows, golden highlights, wide-angle lens, epic composition.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;户外运动服饰网格广告&#34;&gt;户外运动服饰网格广告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07/status/2049081198211736062&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SPEEDAI07&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SPEEDAI07&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/090.webp&#34;
	width=&#34;896&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/090_hu_f1558c734cabdcd9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/090_hu_b0414569d42985bc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;户外运动服饰网格广告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;32
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;33
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dynamic 2×2 grid collage of modern outdoor sportswear advertising posters, each panel representing a different adventure lifestyle brand. High-energy, editorial-style composition with bold typography and textured graphic design.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Top-left panel:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Athletic male model in a bright blue insulated winter jacket, black snow pants, gloves, and sunglasses, stepping forward in a snowy environment. Snow particles flying, dramatic motion. Background features rough blue paint brush strokes. Bold distressed typography reads: “NEVER STOP EXPLORING.” Additional small text: “Built for extremes.” High contrast, rugged winter exploration theme.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Top-right panel:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Fit male hiker climbing rocky terrain, wearing an olive green shirt, black trekking pants, and a large black backpack with orange straps. Dust and debris kicking up from the ground. Background includes orange paint strokes and sketched mountain graphics. Bold text: “BUILT FOR HERE – INDIA TESTED.” Handwritten Hindi accents and arrows. Warm earthy tones.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bottom-left panel:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Calm outdoor scene with a male model sitting on a rock, wearing a green jacket, beanie, sunglasses, and hiking shoes. Minimal scenic mountain illustration in the background with soft green tones. Typography reads: “ESCAPE THE NOISE – JUST GO OUTSIDE.” Clean, relaxed, nature-focused aesthetic with subtle graphic elements.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bottom-right panel:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Energetic female runner in motion wearing a purple athletic t-shirt, black shorts, and running shoes. Bright, playful background with purple and yellow paint splashes, doodles, arrows, and sun illustration. Bold typography: “READY FOR EVERYONE – START YOUR JOURNEY.” Youthful, vibrant fitness energy.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Overall style:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-resolution, photorealistic sportswear campaign
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bold brushstroke textures and grunge overlays
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mixed typography: distressed, handwritten, and modern sans-serif
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Strong color blocking per panel (blue, orange, green, purple)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Dynamic poses conveying motion, strength, and adventure
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Clean grid layout with balanced spacing
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Commercial advertising / brand campaign aesthetic (Nike, Decathlon style)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: Professional, cinematic lighting with sharp detail and contrast
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Mood: Energetic, adventurous, motivational
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Aspect ratio: 1:1 (square collage)
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;地形字母卫星图面板&#34;&gt;地形字母卫星图面板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/madpencil_/status/2049080259476349218&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/madpencil_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@madpencil_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/091.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/091_hu_62b8746b955a3fad.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/091_hu_bbe920a4698343b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;地形字母卫星图面板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Ultra-realistic satellite view from space, a clean modern editorial layout of 9 vertical panels arranged side-by-side on a white background, together forming the word &amp;#34;MADPENCIL&amp;#34;, each panel containing one letter created entirely from natural Earth topography, no artificial text overlays:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 1 (M): rugged mountain ranges and deep valleys forming a sharp, angular &amp;#34;M&amp;#34;, rocky textures, high elevation shadows
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 2 (A): winding river cutting through dense green forest forming an organic &amp;#34;A&amp;#34;, strong contrast between water and vegetation
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 3 (D): desert dunes and wind-sculpted sand patterns shaping a smooth &amp;#34;D&amp;#34;, warm tones, soft gradients
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 4 (P): agricultural farmland grids and patchwork fields forming a structured &amp;#34;P&amp;#34;, geometric patterns clearly visible
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 5 (E): glacier and ice formations carving a crisp &amp;#34;E&amp;#34;, bright whites and icy blues, fractured textures
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 6 (N): braided river system across floodplains forming &amp;#34;N&amp;#34;, branching channels with natural flow lines
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 7 (C): coastal shoreline and ocean edge shaping a curved &amp;#34;C&amp;#34;, waves and sediment gradients visible
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 8 (I): narrow canyon or straight river cutting through terrain forming a minimal &amp;#34;I&amp;#34;, strong vertical emphasis
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Panel 9 (L): volcanic terrain with lava flows forming an &amp;#34;L&amp;#34;, dark rock with glowing red/orange lava accents
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;top-down satellite perspective, NASA Earth observation style, hyper-detailed textures, realistic geography, consistent scale and lighting across all panels, minimal clouds, high contrast, sharp focus, subtle atmospheric haze, natural color grading, ultra high resolution 8K, clean spacing between panels, modern gallery-style composition, visually cohesive but each panel distinctly different biome, letters clearly readable yet organically integrated into terrain
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;冰咖啡产品信息图&#34;&gt;冰咖啡产品信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X/status/2049082049995362785&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Strength04_X&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Strength04_X&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/092.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/092_hu_f430dbb0b53aa34d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/092_hu_bfc913c0d69a3a17.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;冰咖啡产品信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-end café-style product photograph of a transparent glass filled with iced coffee, centered against a soft beige and cream seamless studio background. The drink shows a rich dark coffee base blending with creamy milk swirls, creating a smooth gradient effect. Several clear ice cubes are visible with realistic transparency and light refraction. The glass has subtle condensation droplets, adding freshness. Soft natural studio lighting creates delicate highlights and a clean shadow beneath the glass. Ultra-sharp focus, premium beverage advertisement style, DSLR macro photography, hyper realistic, 8K.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;PROMPT 2 - Create a hyper-realistic exploded vertical infographic composition of an iced coffee.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Top → Bottom structure:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Foam Layer (light creamy foam with soft airy texture)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Coffee Liquid (rich dark espresso layer with smooth gradient)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Ice Cubes (transparent cubes with sharp edges and reflections)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Milk Layer (soft creamy white layer with smooth blend effect)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Glass Base (clear minimal glass structure)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;All elements must be perfectly centered, evenly spaced, and aligned vertically. Use a soft beige seamless background with clean café-style lighting and subtle realistic shadows beneath each floating element. The composition should feel like a premium beverage ad combined with a clean infographic layout.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Add clean minimalist text labels with thin pointer lines using these exact labels:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;“Foam”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;“Coffee”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;“Ice”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;“Milk”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;“Glass”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Ultra-realistic liquid detail, sharp reflections, premium commercial photography, 8K.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;时尚连衣裙系列信息图&#34;&gt;时尚连衣裙系列信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/cellinlab/status/2049073530738754042&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/cellinlab&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@cellinlab&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/093.webp&#34;
	width=&#34;819&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/093_hu_47c6ab77e8e2fa59.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/093_hu_9d02d9742ac6b6c1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;时尚连衣裙系列信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;79&#34;
		data-flex-basis=&#34;191px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;image_type&amp;#34;: &amp;#34;Commercial Fashion Infographic&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;subject&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;model&amp;#34;: &amp;#34;Young Asian woman with elegant features and dark hair tied in a loose bun&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;attire&amp;#34;: &amp;#34;Satin midi dress with spaghetti straps and a draped cowl neckline&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;fit&amp;#34;: &amp;#34;Bodycon / slim fit with side ruching and a subtle leg slit&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;layout_structure&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;composition&amp;#34;: &amp;#34;Multi-panel editorial layout&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;header&amp;#34;: &amp;#34;Bold serif typography reading &amp;#39;DRESS COLLECTION&amp;#39;&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;main_feature&amp;#34;: &amp;#34;Large centered portrait of the model, a young Asian woman, wearing a wine-red satin dress&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;secondary_panels&amp;#34;: [
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;Dress Features grid with minimalist icons&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;Dress Guide sidebar detailing neckline, sleeve, and length&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;Color Collection row showing the dress in Black, Emerald Green, Navy, Champagne, and Royal Blue&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;      &amp;#34;Dress Style Guide footer featuring the model in various atmospheric evening settings&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    ]
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;aesthetic_style&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;color_palette&amp;#34;: &amp;#34;Deep jewel tones (Wine Red, Emerald, Navy, Royal Blue) contrasted with Champagne and Black against a warm cream or beige background&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;lighting&amp;#34;: &amp;#34;Soft studio lighting with elegant highlights on the satin fabric texture&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;vibe&amp;#34;: &amp;#34;Luxurious, timeless, and sophisticated commercial advertising&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  },
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &amp;#34;typography&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;primary&amp;#34;: &amp;#34;Classic Serif for titles&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &amp;#34;secondary&amp;#34;: &amp;#34;Clean Sans-Serif for body text and technical details&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;单色时尚封面&#34;&gt;单色时尚封面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sha_zdiii/status/2049088961008848905&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sha_zdiii&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sha_zdiii&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/094.webp&#34;
	width=&#34;670&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/094_hu_f5db21fbfc89aec1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/094_hu_7eb4175a44dfb464.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;单色时尚封面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;55&#34;
		data-flex-basis=&#34;134px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Ultra-realistic high-fashion magazine cover, black and white cinematic portrait of a confident young female model, slightly messy wet-look hair, sharp jawline, intense gaze, natural glossy lips, wearing a premium black leather trench coat over a minimal outfit.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;The model is posing slightly tilted forward with attitude, hands adjusting the coat, accessorized with multiple rings, ear piercings, and layered chain necklaces.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting is dramatic studio lighting with soft shadows, high contrast, editorial Vogue-style aesthetic, ultra-detailed skin texture, 8K resolution, sharp focus.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Background is minimal gradient grey with soft light streaks for depth.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Magazine cover layout included:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Large bold serif title at top: “VOID ELITE”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Subtitle small: “Edition 07 / 2026”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Left text: “NOT BUILT TO FOLLOW — BUILT TO DOMINATE”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bottom left: “HIGH-FASHION STREET LUXURY”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Right vertical text: “UNTOUCHABLE PRESENCE”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Bottom right: “SILENCE IS POWER”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Add a small holographic glitch-style label over the eyes with text “ICON”
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: luxury fashion editorial, Vogue, Harper’s Bazaar, monochrome aesthetic, modern typography, clean layout, ultra premium branding
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;--ar 2:3 --style raw --quality 2 --sharp focus --photorealistic
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;快餐角色海报&#34;&gt;快餐角色海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/LoovaAI/status/2049085173015425354&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/LoovaAI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@LoovaAI&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/095.webp&#34;
	width=&#34;880&#34;
	height=&#34;1168&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/095_hu_4c7f3d39e545b335.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/095_hu_7ced76a3701ab5be.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;快餐角色海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Use the character in image 1 as the main subject. Create a vertical poster ad in American fast food diner style. Low angle, wide lens. Red / yellow / white palette with ketchup splashes, melting cheese graphics, comic burst shapes, retro diner typography, and bold fast food poster collage aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;跨越两个世纪的纽约电影感海报&#34;&gt;跨越两个世纪的纽约电影感海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010/status/2049460661109879022&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Shinning1010&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/096.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/096_hu_712435186164880e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/096_hu_40c0d17ec5a1c06c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;跨越两个世纪的纽约电影感海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a cinematic 3:4 vertical poster of New York City that feels truly epic and unconventional, showing the passage from the 20th century to the 21st century in one seamless image. Place a lone figure at the center of the composition, standing in the middle of the street and looking forward as if witnessing New York across time. The left side should depict 20th-century New York with warm sepia atmosphere, vintage taxis, old newsstands, retro lamps, and landmarks like the Chrysler Building and Empire State Building. The right side should depict 21st-century New York with glass skyscrapers, One World Trade Center, digital billboards, and modern urban energy. Make the transition natural rather than split-screen, with coherent perspective, wet reflective pavement, realistic textures, atmospheric depth, and no text.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;蓝眼泪鸡尾酒教程信息图海报&#34;&gt;蓝眼泪鸡尾酒教程信息图海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/cellinlab/status/2049460927121244510&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/cellinlab&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@cellinlab&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/097.webp&#34;
	width=&#34;1067&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/097_hu_9c4415e7dcaa1d2c.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/097_hu_a9eaadf9e22e347a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;蓝眼泪鸡尾酒教程信息图海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;88&#34;
		data-flex-basis=&#34;213px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;试着帮我生成调制一杯蓝色眼泪鸡尾酒（配料流程你自己发挥想象，但是要写清楚确保可复现）的流程教学图和概念设计宣传图，轻奢酒咖海报风格，横版。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;ascii-登革热信息图&#34;&gt;ASCII 登革热信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mapasbr/status/2049458767520051448&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mapasbr&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mapasbr&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/098.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/098_hu_17f07d5693cbf7c6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/098_hu_8e33f45aa7a814cd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;ASCII 登革热信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;infográfico ASCII DENGUE
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/poster.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT-Image 2 Prompt Library: UI and Social Media Cases</title>
        <link>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/</link>
        <pubDate>Sat, 02 May 2026 11:35:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/</guid>
        <description>&lt;p&gt;This page collects &lt;code&gt;UI and Social Media&lt;/code&gt; cases: 56 examples in total. Each entry keeps the original case link, author, generated image, and complete prompt.&lt;/p&gt;
&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;ui-and-social-media&#34;&gt;UI and Social Media
&lt;/h2&gt;&lt;h3 id=&#34;一句提示词生成-ui-设计&#34;&gt;一句提示词生成 UI 设计
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/austinit/status/2044968740782272596&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/austinit&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@austinit&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/000.webp&#34;
	width=&#34;983&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/000_hu_a0509e119117b487.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/000_hu_fee7ad21aafb346f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;一句提示词生成 UI 设计&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;81&#34;
		data-flex-basis=&#34;196px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;用这种风格帮我生成一套UI设计系统，包含网页、移动端、卡片、控件、按钮 以及其它
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;业余-iphone-keynote-抓拍&#34;&gt;业余 iPhone Keynote 抓拍
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/patrickassale/status/2044687244368441742&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/patrickassale&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@patrickassale&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/001.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/001_hu_6a976169b655751e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/001_hu_6146ba205d59f349.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;业余 iPhone Keynote 抓拍&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Amateur iPhone photo at Apple Park during the iPhone 20 keynote, Tim Cook presenting on stage. Shot from the crowd at a distance
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;手写笔记本照片&#34;&gt;手写笔记本照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/patrickassale/status/2044569086013718958&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/patrickassale&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@patrickassale&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/002.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/002_hu_a790d3353f5c70e9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/002_hu_67826a1ed311f24.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;手写笔记本照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Amateur photo of an open notebook lying flat, filled with handwritten notes in black ballpoint pen. The handwriting is casual and slightly messy, like personnal notes, natural imperfections, crossed out words, underlined headings. Shot from slightly above, natural daylight from a window, no flash. Casual desk setting, shot on iPhone
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;宋代社交媒体信息流&#34;&gt;宋代社交媒体信息流
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Panda20230902/status/2045385588065313057&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Panda20230902&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Panda20230902&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/003.webp&#34;
	width=&#34;400&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/003_hu_6467411051bf9ba.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/003_hu_7433fbf98c017d2c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;宋代社交媒体信息流&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;33&#34;
		data-flex-basis=&#34;80px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&amp;#34;宋朝人的朋友圈&amp;#34;/&amp;#34;SONG DYNASTY SOCIAL MEDIA FEED&amp;#34;，古今穿越幽默融合界面设计风格，画面模拟手机社交媒体界面，但内容全部是宋朝场景头像是宋代文人画像，用户名&amp;#34;苏东坡SuShi_Official&amp;#34;，发布内容&amp;#34;刚到黄州，被贬了但心情还行。今天自己做了东坡肉，味道绝了，附菜谱：&amp;#34;，配图为工笔画风格的东坡肉特写，点赞列表&amp;#34;黄庭坚、秦观、佛印等126人&amp;#34;，评论区&amp;#34;王安石：呵呵&amp;#34;&amp;#34;司马光：还是那个味道&amp;#34;，界面元素如点赞图标用宋代花纹替代，状态栏显示&amp;#34;大宋移动 5G&amp;#34;和&amp;#34;元丰三年&amp;#34;，配色为手机深色模式搭配宋代雅致色调，历史与社交媒体的趣味碰撞杰作
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;多平台内容截图&#34;&gt;多平台内容截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2045373105041007013&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/004.webp&#34;
	width=&#34;555&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/004_hu_e0e9a2612bd3b890.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/004_hu_4f5213e6702ea897.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;多平台内容截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;46&#34;
		data-flex-basis=&#34;111px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1、生成视频号内容截图，主题：中老年不要盲目催婚，iPhone尺寸
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2、生成抖音内容截图，主题：跟上AI浪潮9.9包教会，iPhone尺寸
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3、生成小红书内容截图，主题：精致女孩背后都有网贷，iPhone尺寸
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4、生成快手内容截图：主题：直播离婚预告，iPhone尺寸
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;刘亦菲抖音直播截图&#34;&gt;刘亦菲抖音直播截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/alanblogsooo/status/2044784762594918516&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/alanblogsooo&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@alanblogsooo&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/005.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/005_hu_933d147f1c4bffb3.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/005_hu_52d31acefd4caf39.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;刘亦菲抖音直播截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 的图片比例，生成一张抖音直播的截图，里面是 刘亦菲 在直播，刘亦菲 手里拿着牌子，牌子里写着 今晚直播，欢迎来参亦菲畅聊！
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;太祖李成桂的-x-主页&#34;&gt;太祖李成桂的 X 主页
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SKA_Neotype/status/2044637900978217334&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SKA_Neotype&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SKA_Neotype&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/006.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/006_hu_2b6cce52a6aee798.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/006_hu_c3e9bc7604f9c77a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;太祖李成桂的 X 主页&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;태조 이성계의 X  페이지(위화도 회군을 벌이기 직전- 최영 장군과 서로 디스하는 내용이 담긴 게시글들)을 만들어 주세요.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;风格转-ui-设计系统&#34;&gt;风格转 UI 设计系统
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/stark_nico99/status/2045836554451706125&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/stark_nico99&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@stark_nico99&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/007.webp&#34;
	width=&#34;1199&#34;
	height=&#34;1312&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/007_hu_7734ca6292c1e429.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/007_hu_6901a3a91a9b4f0a.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;风格转 UI 设计系统&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;91&#34;
		data-flex-basis=&#34;219px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;用这种风格帮我生成一套UI设计系统，包含网页、移动端、卡片、控件、按钮以及其它。把这套视觉风格作为参考生成网页。我尝试了宇宙、飞行、蝴蝶主题。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;桃太郎讲解幻灯片&#34;&gt;桃太郎讲解幻灯片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yammamon/status/2045778624092254603&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yammamon&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yammamon&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/008.webp&#34;
	width=&#34;1280&#34;
	height=&#34;853&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/008_hu_bf54d5d0ed5b99e4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/008_hu_2f206b995e83ec1c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;桃太郎讲解幻灯片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;「いらすとや」のほのぼのとした雰囲気と、「霞ヶ関スライド」の圧倒的な情報密度を融合させた、桃太郎の解説スライド（ポンチ絵）を作成して
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;博物馆风汉服拆解信息图&#34;&gt;博物馆风汉服拆解信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2045504669401653414&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/009.webp&#34;
	width=&#34;1074&#34;
	height=&#34;1280&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/009_hu_d938583209d8ce73.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/009_hu_c0a7a9e3e48dbd34.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;博物馆风汉服拆解信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;83&#34;
		data-flex-basis=&#34;201px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;请根据【主题】自动生成一张“博物馆图鉴式中文拆解信息图”。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;要求整张图兼具真实写实主视觉、结构拆解、中文标注、材质说明、纹样寓意、色彩含义和核心特征总结。你需要根据【主题】自动判断最合适的主体对象、服饰体系、器物结构、时代风格、关键部件、材质工艺、颜色方案与版式结构，用户无需再提供其他信息。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;整体风格应为：国家博物馆展板、历史服饰图鉴、文博专题信息图，而不是普通海报、古风写真、电商详情页或动漫插画。背景采用米白、绢纸白、浅茶色等纸张质感，整体高级、克制、专业、可收藏。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;版式固定为：
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 顶部：中文主标题 + 副标题 + 导语
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 左侧：结构拆解区，中文引线标注关键部件，并配局部特写
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 右上：材质 / 工艺 / 质感区，展示真实纹理小样并附说明
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 右中：纹样 / 色彩 / 寓意区，展示主色板、纹样样本和文化解释
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 底部：穿着顺序 / 构成流程图 + 核心特征总结
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;若主题适合人物展示，则以真实人物全身站姿为中央主体；若更适合器物或单体结构，则改为中心主体拆解图，但整体仍保持完整中文信息图形式。所有文字必须为简体中文，清晰、规整、可读，不要乱码、错字、英文或拼音。重点突出真实结构、材质差异、文化说明与图鉴气质。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;避免：海报感、影楼感、电商感、动漫感、cosplay感、乱标注、错结构、糊字、假材质、过度装饰。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;手相诊断报告&#34;&gt;手相诊断报告
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/agi_aibusi/status/2046530764871696750&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/agi_aibusi&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@agi_aibusi&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/010.webp&#34;
	width=&#34;701&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/010_hu_55204af3273c2953.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/010_hu_79f3fe6eb5476e32.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;手相诊断报告&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;58&#34;
		data-flex-basis=&#34;140px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GPT-image-2でこの手相を診断して詳細な鑑定書を作って
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生命線・知能線・感情線・運命線・太陽線・財運線・結婚線を、線の形状・濃淡・枝分かれ・起点終点まで分析すること。
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;助言を重点的に高品質な占い鑑定書にまとめること。
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;书法字帖页&#34;&gt;书法字帖页
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus/status/2046510310253539764&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/MrLarus&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@MrLarus&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/011.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/011_hu_5717a7c1927bd9b1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/011_hu_d59e3a2e0bd44d92.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;书法字帖页&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;生成一张【字体】书法临摹字帖
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;唐吉诃德促销-pop-海报&#34;&gt;唐吉诃德促销 POP 海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/loglogrog/status/2046437230127034774&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/loglogrog&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@loglogrog&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/012.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/012_hu_4b3a5e93f98ba7ab.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/012_hu_ff03b8952b0ad690.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;唐吉诃德促销 POP 海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;GPT Image 2を使って、OpenClawの情報を調べてドンキの広告ポップ風に実際のドンキに貼っているような感じで画像生成してください
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日式抽卡游戏界面&#34;&gt;日式抽卡游戏界面
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/the_wheel_2024/status/2046519658166317160&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/the_wheel_2024&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@the_wheel_2024&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/013.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/013_hu_d74bbc1c76c72374.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/013_hu_bbfad2e020a69830.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日式抽卡游戏界面&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;日本のソシャゲのガチャ画面を生成して、
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;elon-musk-抖音直播截图&#34;&gt;Elon Musk 抖音直播截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010/status/2046501587762188535&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Shinning1010&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Shinning1010&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/014.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/014_hu_f74afb08f82e0e53.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/014_hu_e335904cbedf2c0.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Elon Musk 抖音直播截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;9
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A 9:16 vertical version, high-detail realistic style Chinese TikTok live screenshot, Elon Musk is talking to the mobile phone camera in the live broadcast room, excited, smiling, and the live atmosphere is warm and real. He held a white handwritten sign in one hand, which clearly said: &amp;#34;Thank you Shinning&amp;#34;. There are obvious Chinese TikTok interface elements in the live broadcast screen, including likes, comments and share icons arranged vertically on the right, scrolling Chinese bullet screens and interactive comments below, and the &amp;#34;live broadcast&amp;#34; logo at the top, which looks like a real mobile phone screenshot. There is an eye-catching gift prompt special effect in the screen: &amp;#34;Shinning sent TikTok No. 1&amp;#34;, with gift animation light effect and platform-style prompt box. Musk is in a professional live broadcast environment, with a mobile phone holder, a ring fill light and a desktop microphone in front of him. The background is a modern technology live broadcast room with bright lights and a slight neon atmosphere. The composition is real and natural, like the ongoing live screenshot of the Chinese short video platform. The interface information is rich but not messy, the characters are clear, the expression is vivid, the details are rich, the sense of real photography, the depth of field, high definition, cinematic, photorealistic, realistic livestream screenshot, social media UI, Chinese Douyin live room, detailed lighting, natural skin texture.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Negative prompts:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Low definition, blur, cartoon, illustration, too strong CG sense, two-dimensional, deformed fingers, wrong text, scrambled code, multiple mobile phones, multiple brands, character repetition, face collapse, facial features distortion, excessive skin polishing, overexposure, too dark, messy background, wrong UI, non-Chinese short video interface, too many English bullet screens, gift special effects are not obvious, cropping error, proportional error
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Supplementary reinforcement words:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Real mobile phone screen recording screenshot feeling, the live broadcast UI is complete, the gift prompt box conforms to the style of the Chinese short video platform, the Chinese comment area is active, the number of people online in the live broadcast room is clearly displayed, and the time, power and signal bar are visible.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;刘亦菲抖音直播截图-1&#34;&gt;刘亦菲抖音直播截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/kylegeeks/status/2046479783765397629&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/kylegeeks&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@kylegeeks&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/015.webp&#34;
	width=&#34;1200&#34;
	height=&#34;772&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/015_hu_210a3d6381ab38f7.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/015_hu_3ce3f3478f4c7132.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;刘亦菲抖音直播截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;155&#34;
		data-flex-basis=&#34;373px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;9:16 的图片比例,生成一张抖音直播的截图,里面是 刘亦菲 在直播,刘亦菲 手里拿着牌子,牌子里写着 今晚直播,欢迎来参亦菲畅聊!
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;赛博朋克霓虹-ui-设计系统&#34;&gt;赛博朋克霓虹 UI 设计系统
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AZLnfvp/status/2046468976092533180&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AZLnfvp&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AZLnfvp&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/016.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/016_hu_88fb7dfbe578c750.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/016_hu_6861dde16988fed4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;赛博朋克霓虹 UI 设计系统&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;用未来都市风格生成UI设计系统,灵感来自赛博朋克城市夜景,包含霓虹灯、玻璃建筑反射、高对比光影,配色以紫色、蓝色、粉色霓虹为主,设计网页Dashboard、移动端界面、卡片、按钮、控件等,视觉炫酷、层次丰富、科技感极强
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;trump-and-kim-livestream-pk-截图&#34;&gt;Trump and Kim Livestream PK 截图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/alanlovelq/status/2046048929490612464&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/alanlovelq&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@alanlovelq&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/017.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/017_hu_86f0321dd3c4882f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/017_hu_4b71a2ab2286bfba.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Trump and Kim Livestream PK 截图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;1、生成特朗普和金正恩在抖音直播间打PK的截图  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;2、生成不知火舞的小红书主页截图  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;3、生成图片: 手写在教室黑板上的出师表全文,真实感的粉笔字迹,晴朗白天用iPhone手机实拍  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;4、生成图片: T-800机器人的淘宝商品详情页,展示: 机器人的正面侧面背面三视图, 产品价格, 产品细节, 功能和使用场景等
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;日式-ai-游戏开发概览幻灯片提示词&#34;&gt;日式 AI 游戏开发概览幻灯片提示词
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ailovedirector/status/2046905387274891296&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ailovedirector&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ailovedirector&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/018.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/018_hu_cbe5a586cb328e0a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/018_hu_8c67b1f43e45c185.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;日式 AI 游戏开发概览幻灯片提示词&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;横長のパワポ画像ここで生成してみて　どのモデル使ってるか判定するから、今のAIゲーム開発の概要をまとめた1枚パワポで　日本語で
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;ゲーム開発の技術に関して、工数ベースでどこにパワーかかるかの分析資料といかに量産が大事かについての説明とかのパワポ画も作って
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;基于生成角色制作截图界面&#34;&gt;基于生成角色制作截图界面&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/khaiinit/status/2047219694130827273&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/khaiinit&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@khaiinit&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/019.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/019_hu_8b6725f5dd23affb.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/019_hu_8f807fa5b4b16d83.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;基于生成角色制作截图界面…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;based on the generated character help me generate a screenshot of screenshot of an pvp game themed around *zelda: wind breaker*
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;参考这张图的风格与配色创建落地页&#34;&gt;参考这张图的风格与配色创建落地页&amp;hellip;
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/D_studioproject/status/2047212826264211540&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/D_studioproject&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@D_studioproject&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/020.webp&#34;
	width=&#34;339&#34;
	height=&#34;475&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/020_hu_c3c8a43953642ff6.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/020_hu_232ea5fdd98ce77d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;参考这张图的风格与配色创建落地页…&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;71&#34;
		data-flex-basis=&#34;171px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a landing page using this image as a reference for style and color grading.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;李佳琦口红直播背景&#34;&gt;李佳琦口红直播背景
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen/status/2047207826913972518&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/songguoxiansen&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@songguoxiansen&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/021.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/021_hu_94305250a7e186b8.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/021_hu_e1b1d851741502b5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;李佳琦口红直播背景&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;李佳琦直播间背景，口红矩阵展示墙，暖光氛围灯，文案OMG买它
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;apple-pods-pro-3-耳机电商信息图&#34;&gt;Apple Pods Pro 3 耳机电商信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/meng_dagg695/status/2047935217231663186&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/meng_dagg695&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@meng_dagg695&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/022.webp&#34;
	width=&#34;1152&#34;
	height=&#34;2048&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/022_hu_23f0b833ea7cf39d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/022_hu_3acb00488177719.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Apple Pods Pro 3 耳机电商信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
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&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-impact e-commerce infographic for &amp;#34;Apple Pods Pro 3&amp;#34; 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;premium wireless over-ear headphones.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;FOREGROUND - PRODUCT HERO SHOT
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Extreme close-up of a hand holding a sleek, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;matte-white premium over-ear headphone toward the camera 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;at a slight angle. The headphone features:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Glossy white ear cushions with soft memory foam padding
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Brushed aluminum silver headband with subtle Apple Pods 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  Pro 3 embossed branding
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Black mesh speaker grille visible on the ear cup face
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- A tiny glowing green LED status indicator on the 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  right ear cup edge
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Subtle touch-control icons etched on the outer cup surface
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Macro-lens shallow depth of field — hand and headphone 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;slightly blurred at edges to create cinematic depth. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Product remains razor-sharp in center frame.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;CENTRAL SUBJECT — MODEL
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;In the mid-ground: a smiling young woman with freckles 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;and wavy pastel-pink hair. She wears:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- A vibrant lime-green knit beanie
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- A psychedelic black and white-striped long-sleeve shirt
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- The white over-ear headphones resting stylishly 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  around her neck (not on ears) — one hand casually 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  touching the ear cup
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Expression: relaxed, confident, joyful. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;She is glancing slightly off-camera with a natural smile.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;BACKGROUND &amp;amp; ATMOSPHERE
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Clean soft-focus studio backdrop — light gray gradient 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;fading to warm white at center. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Atmospheric overlays:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Diagonal rainbow prism lens flares cutting across 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  upper-left to lower-right
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Soft pastel light leaks in pink and yellow at corners
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- 4–5 blurred white over-ear headphones floating 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  artistically in the background at various depths 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  and rotation angles
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;- Subtle bokeh circles from background studio lights
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lighting: Soft professional three-point studio lighting. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Key light from upper-left, fill light right side. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Rim light behind model for separation. 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Glossy highlights on headphone surfaces catching light naturally.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;TYPOGRAPHY &amp;amp; LAYOUT — Sans-Serif, Clean white 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;TOP CENTER (behind model, large background text):
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Massive bold oversized text: &amp;#34;HEADPHONES&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;   Semi-transparent white, spanning full width behind subject
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;TOP RIGHT CORNER:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Bold clean text: &amp;#34;Apple Pods Pro 3&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;   Subtitle smaller text: &amp;#34;Over-Ear Wireless&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;MID LEFT:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Icon: small sound wave symbol
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Bold text: &amp;#34;Premium Sound&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Sub-text: &amp;#34;Active Noise Cancellation + Transparency Mode&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;MID RIGHT:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Extra-large bold numeral: &amp;#34;40&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Smaller text below: &amp;#34;hours of battery life&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;LOWER LEFT:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Extra-large bold numeral: &amp;#34;0&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;   with &amp;#34;to&amp;#34; beside it → then bold &amp;#34;100%&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Sub-text: &amp;#34;Fast charge — 10 min = 3hrs playback&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;BOTTOM RIGHT:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Extra-large bold numeral: &amp;#34;1&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Sub-text: &amp;#34;Year Warranty Included&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;BOTTOM CENTER (fine print style):
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;→ Small elegant text: 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;   &amp;#34;Bluetooth 5.4  |  Hi-Res Audio Certified  
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    |  Foldable Design  |  USB-C Charging&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;TECHNICAL SPECS
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Resolution: 8K ultra-sharp
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Style: Commercial product photography meets 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;       editorial fashion advertising
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Color Palette: White, lime green, pastel pink, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;               rainbow prism accents
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Focus: Tack-sharp on headphone product — 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;       shallow DOF on everything else
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Lens: 85mm macro, slight low angle
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Render Quality: Hyperrealistic, clean ad aesthetic, 
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;                vibrant yet professional color grading
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;apple-pods-pro-3-耳塞电商信息图&#34;&gt;Apple Pods Pro 3 耳塞电商信息图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/rovvmut_/status/2047912710365761828&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/rovvmut_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@rovvmut_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/023.webp&#34;
	width=&#34;1360&#34;
	height=&#34;2048&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/023_hu_9d284e83fa8ed923.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/023_hu_b3aae5396a7445c5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Apple Pods Pro 3 耳塞电商信息图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;159px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;High-impact e-commerce infographic for &amp;#34;Apple Pods Pro 3&amp;#34; wireless earbuds.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;美妆产品商业营销照片&#34;&gt;美妆产品商业营销照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSarah_/status/2047904483359760677&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIwithSarah_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIwithSarah_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/024.webp&#34;
	width=&#34;1529&#34;
	height=&#34;2048&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/024_hu_2fc18589c5ab85e1.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/024_hu_49494874c0f1388c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;美妆产品商业营销照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A high-resolution commercial marketing photograph features a young woman with sleek dark hair and a pink ribbed top in a neutral grey studio setting, centered behind a glossy Ellie Beauty spray bottle held prominently in the foreground. The composition is energized by vibrant, lime-green graphic &amp;#34;swooshes&amp;#34; and floating pill-shaped callouts that highlight product features like &amp;#34;glossy finish&amp;#34; and &amp;#34;upto 450°F protection&amp;#34; in bold black sans-serif text. The lighting is professionally diffused, casting soft highlights on the model’s face while creating a sharp, vertical reflection on the metallic green-to-gold gradient bottle label. Topping the scene is a large, lime-green headline in the upper right asking, &amp;#34;What does it do?&amp;#34;, altogether creating a clean, modern, and high-contrast aesthetic with a shallow depth of field that keeps the product and the model&amp;#39;s focused expression in sharp relief.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;aaa-电子游戏截图概念设计&#34;&gt;AAA 电子游戏截图概念设计
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/ChiefMonkeyMike/status/2047828814580138156&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/ChiefMonkeyMike&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@ChiefMonkeyMike&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/025.webp&#34;
	width=&#34;1672&#34;
	height=&#34;941&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/025_hu_9d87da51691dd0b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/025_hu_2a6fa1a60d0f68c3.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;AAA 电子游戏截图概念设计&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;generate screenshots from a AAA video game based off what The Sims Castaways sequel could look like. https://t.co/aL7hMdUYvj
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;西班牙语-grwm-早晨美妆缩略图&#34;&gt;西班牙语 GRWM 早晨美妆缩略图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/S0N_IA_/status/2047414367243657296&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/S0N_IA_&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@S0N_IA_&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/026.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/026_hu_32ebb9c4c41cdb8b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/026_hu_d7b7561cda28184f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;西班牙语 GRWM 早晨美妆缩略图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A vertical 9:16 TikTok-style GRWM beauty thumbnail set in a warm, sunlit Mediterranean-inspired bedroom. A stylish young woman with {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;dark brown&amp;#34;} hair in a messy curly updo sits at a marble vanity, leaning forward with one arm folded and the other hand applying lip balm or lipstick to her mouth. Her face is covered by a centered rectangular blur block for privacy, but the rest of her styling is elegant and natural: tan glowing skin, delicate gold necklace with a small round pendant, thin gold bracelet, stacked gold rings, and a white lace camisole with thin straps. In the foreground on the vanity are exactly 7 visible beauty objects: 1 round tabletop vanity mirror on the left, 1 cup holding 5 makeup brushes, 1 clear glass dropper bottle, 1 tall white pump skincare bottle, 1 small black dropper bottle, 1 beige rounded cosmetic sponge or puff, and 1 pale green squeeze tube on the right. The background shows a softly blurred cozy bedroom with 1 arched window on the left, 1 leafy potted plant, 1 bed with white bedding and a mustard accent pillow, exposed wooden ceiling detail, and 1 framed landscape painting on the wall. Use golden-hour sunlight streaming from the left, soft shadows, creamy skin tones, shallow depth of field, luxury lifestyle editorial photography, intimate self-care mood, polished but natural composition. Add bold playful Spanish headline text in the upper left in three stacked lines reading {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;Mi rutina de belleza matutina&amp;#34;}, with each line large and rounded, white outline and soft drop shadow, using pastel colors: first line white, second line pink, third line pale yellow. Add 3 pink doodle accent strokes above the headline, 1 curved pink underline-swoosh beneath it, and 1 small yellow sun icon to the right of the last line. Place a clean white {argument name=&amp;#34;brand text&amp;#34; default=&amp;#34;Pollo.ai&amp;#34;} logo in the upper right. High-end influencer thumbnail aesthetic, crisp product focus in foreground, warm inviting lifestyle scene.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;电影感城市爆炸追逐&#34;&gt;电影感城市爆炸追逐
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Gugombly/status/2047310862428303636&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Gugombly&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Gugombly&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/027.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/027_hu_ec87a1df69e1c275.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/027_hu_ff2ed2d0e6656017.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电影感城市爆炸追逐&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic photorealistic action scene in a rainy downtown city street canyon, showing {argument name=&amp;#34;main subject&amp;#34; default=&amp;#34;a dark-haired man in his 30s&amp;#34;} sprinting directly toward the camera in the center foreground with a tense survival expression, wearing a soaked dark jacket, dark shirt, and dark pants, mid-stride with one arm pumping forward. Behind him, a massive urban explosion tears through the street and lower facade of a high-rise building, sending a huge cloud of smoke, fire, dust, shattered concrete, glass, and metal debris outward in all directions. The scene includes exactly 3 visible damaged vehicles: 1 dark sedan in the left foreground with headlights on and a crumpled hood splashing through rainwater, 1 wrecked dark car in the right midground with severe front-end damage, and 1 overturned or airborne black SUV tilted upward behind it on the right side. Wet asphalt reflects headlights, firelight, and gray skyscrapers. Dense debris fills the air, with chunks of rubble frozen in motion. Overcast stormy daylight, desaturated blue-gray color palette with orange fire accents, dramatic motion blur in flying debris but sharp focus on the running figure, low-angle wide-lens composition, blockbuster disaster-movie realism, ultra-detailed textures, high contrast, dynamic depth, volumetric smoke, rain spray, cinematic lighting. Add a white {argument name=&amp;#34;watermark text&amp;#34; default=&amp;#34;Pollo.ai&amp;#34;} logo in the top-right corner.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫-vtuber-minecraft-直播缩略图&#34;&gt;动漫 VTuber Minecraft 直播缩略图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/rerxmsz06/status/2047261622121705782&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/rerxmsz06&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@rerxmsz06&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/028.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/028_hu_19722c166657124a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/028_hu_5e7e88cf6b5865b8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫 VTuber Minecraft 直播缩略图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A vibrant anime-style YouTube thumbnail for a livestream gaming broadcast, in a wide 16:9 composition, with a neon purple and pink streamer room. Center the scene on a cute catgirl VTuber sitting at a desk, shown from the waist up, leaning forward energetically with one hand on a computer mouse and the other hand reaching toward the viewer. She has {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;light orange-blonde&amp;#34;} bob-cut hair with soft bangs, fluffy brown-and-cream cat ears, and a visible cat tail. Her face is intentionally obscured by a solid rectangular censor block in the center. She wears a black-and-white maid-inspired outfit with a frilly white blouse, black dress bodice, puff sleeves, white ruffles, black ribbon bow, and a gold bell choker. Place a mechanical keyboard with bright RGB lighting on the desk, a glowing gaming mouse, and a streamer microphone on the far left with pink-purple LED lighting. Put 2 cat-themed desk items in the foreground: a plush cat face on the bottom left and a black cat-shaped mug on the bottom right. Behind her is a gaming chair with paw-print details. On the left side, add large bold Korean headline text in thick white block letters with black fill shadows and a glowing purple outline, stacked in 2 lines: {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;방송중 대참사&amp;#34;}. Below it, add a smaller yellow comic-style burst caption with black outline reading {argument name=&amp;#34;sub text&amp;#34; default=&amp;#34;&amp;gt; 크리퍼 실화냐&amp;#34;}. On the right side, show 1 large computer monitor angled inward, displaying a Minecraft-like scene with bright blue sky, green trees, water, and a large green Creeper popping out toward the viewer, outlined dramatically like a sticker cutout. Add starburst effects and neon accents around the monitor to heighten the chaos. Use exaggerated thumbnail aesthetics: ultra-saturated colors, sharp cel shading, thick outlines, glossy highlights, high contrast, dynamic perspective, and a clickworthy streamer-disaster mood.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;温馨动漫-asmr-掏耳少女&#34;&gt;温馨动漫 ASMR 掏耳少女
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Shion_yamabuki/status/2047232198382964969&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Shion_yamabuki&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Shion_yamabuki&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/029.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/029_hu_c688082893a459f2.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/029_hu_352bacb0545e3ced.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;温馨动漫 ASMR 掏耳少女&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A soft, dreamy anime illustration of a cute young woman doing ASMR in a cozy bedroom at night, seated close to the viewer with her knees pulled up and a black 3Dio-style binaural microphone centered in front of her. She has {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;deep violet&amp;#34;} hair in a loose messy updo with wispy bangs framing her face, large sparkling {argument name=&amp;#34;eye color&amp;#34; default=&amp;#34;blue&amp;#34;} eyes, a gentle blush, and a sweet open-mouth smile. Her head is tilted slightly toward the viewer in a warm, affectionate pose. She wears a delicate white lace camisole with thin straps and an oversized fluffy knit cardigan in {argument name=&amp;#34;cardigan color&amp;#34; default=&amp;#34;soft pink-lavender&amp;#34;} draped off her shoulders, creating a tender, intimate late-night healing atmosphere. Both hands lightly touch the white silicone ears of the microphone as if about to give an ear massage. The room is softly lit with pink and amber ambient lighting, heavy curtains in the background, a bed or sofa with plush cushions, warm fairy-light bokeh, and a small plant on the right side. Add glowing handwritten Japanese neon text integrated into the composition: on the left, 4 text elements reading &amp;#34;とろける&amp;#34;, &amp;#34;耳&amp;#34;, &amp;#34;マッサージ&amp;#34;, and &amp;#34;ASMR&amp;#34; with 2 small heart symbols; on the right, vertical text reading &amp;#34;いっぱい癒してあげるね...♡&amp;#34;. Use a polished modern anime style, highly detailed face and hair, glossy eyes, smooth luminous skin, soft shading, pastel highlights, shallow depth of field, romantic cozy streamer-thumbnail composition, and a soothing feminine color palette dominated by pink, lavender, cream, and warm gold.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;名人直播概念图&#34;&gt;名人直播概念图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SelenaGmzIN/status/2047185882009198865&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SelenaGmzIN&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SelenaGmzIN&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/030.webp&#34;
	width=&#34;1200&#34;
	height=&#34;800&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/030_hu_57bd5d6a0e1e0e36.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/030_hu_efeff596d19acddc.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;名人直播概念图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;150&#34;
		data-flex-basis=&#34;360px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{argument name=&amp;#34;celebrity&amp;#34; default=&amp;#34;selena gomez&amp;#34;} started a surprise {argument name=&amp;#34;platform&amp;#34; default=&amp;#34;youtube&amp;#34;} livestream.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;monika-动漫横幅插画&#34;&gt;Monika 动漫横幅插画
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill/status/2047639852485620070&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mirochill&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/031.webp&#34;
	width=&#34;1199&#34;
	height=&#34;514&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/031_hu_cb7954af0d3e5f46.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/031_hu_a4c7b40777951277.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Monika 动漫横幅插画&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;233&#34;
		data-flex-basis=&#34;559px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A highly polished anime banner illustration in a warm golden classroom-literature-club setting, wide cinematic composition. On the left half, a large elegant glowing script title reads {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;Monika&amp;#34;} in oversized calligraphy, colored white and pale green with a soft neon glow, metallic highlights, decorative flourishes, hearts, sparkles, and swirling ornamental lines around it. On the right half, a beautiful anime schoolgirl inspired by {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Monika&amp;#34;} sits at a wooden desk, facing slightly left, with long flowing {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;chestnut brown&amp;#34;} hair, a very large white ribbon bow, warm brown eyes, and a thoughtful, confident expression. She wears a Japanese high school uniform with exactly 4 visible clothing pieces: a brown blazer, white shirt, red ribbon tie, and brown argyle sweater vest. She holds a fountain pen over papers on the desk with one hand while the other rests near her face in a poised writing pose. The room is filled with sunset light streaming through tall windows, dust motes, trailing green ribbons, floating petals, handwritten notes pinned and hanging in the background, and a dark chalkboard covered with faint cursive writing and geometric doodles. Include exactly 9 prominent desk and room props: a bouquet of white roses at lower left, a stack of books at left, an hourglass near the center-left, a sealed envelope with a small green leaf emblem, scattered manuscript pages on the desk, a pen cap near the writing hand, a green-upholstered chair, a piano in the back right, and a stack of 4 books on the right. The 4 right-side book spines read, from top to bottom: &amp;#34;Save Me&amp;#34;, &amp;#34;My Feelings&amp;#34;, &amp;#34;Poems for the Literature Club&amp;#34;, and &amp;#34;Just Monika.&amp;#34; Add lush volumetric lighting, glittering particles, green-and-gold color harmony, delicate linework, ultra-detailed painterly shading, romantic visual-novel key art quality, and a premium polished thumbnail/banner aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;紫色动漫-yuri-横幅&#34;&gt;紫色动漫 Yuri 横幅
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill/status/2047639852485620070&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mirochill&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/032.webp&#34;
	width=&#34;1199&#34;
	height=&#34;514&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/032_hu_b649d3a35900259e.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/032_hu_96c3fba8e68ccf8e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;紫色动漫 Yuri 横幅&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;233&#34;
		data-flex-basis=&#34;559px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A polished anime-style banner illustration in a dreamy violet palette, wide cinematic composition, showing a quiet literary room at twilight. On the right side, a beautiful teenage anime girl named {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Yuri&amp;#34;} sits at a wooden desk beside a large window with purple curtains, holding a dark ornate hardcover book close to her chest and gazing softly downward with a shy, introspective expression. She has very long straight {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;deep violet&amp;#34;} hair with glossy highlights, side bangs, a small hair clip, and violet eyes, wearing a Japanese school uniform with a gray blazer, white shirt, red ribbon tie, and dark skirt. Across the left-center of the image, the glowing calligraphic word {argument name=&amp;#34;title text&amp;#34; default=&amp;#34;Yuri&amp;#34;} appears large in luminous neon-lavender script with elegant flourishes, a small heart, and decorative filigree, integrated into the scene like magical typography. The desk contains exactly 8 visible item groups: 1 open book in the foreground center, 1 black inkwell with a white feather quill, 1 closed book near the candle, 1 stack of books under papers, 1 loose handwritten page in front, 1 small purple flower on the desk, 1 floral porcelain teacup with saucer on the right, and 1 dark book stack at the far right. Additional background details include exactly 6 decorative environmental elements: 1 lit candle in a glass holder on the left, 1 cluster of purple flowers in the left foreground, 1 hanging spray of purple blossoms in the upper left, 1 pinned botanical note in the upper right, 1 bookshelf with books and flowers in the right background, and 1 sunset sky visible through the window. Add drifting flower petals, faint handwritten script textures, ornate gold border lines around the frame, soft volumetric window light, subtle sparkles, rich shadows, and a romantic melancholic atmosphere. Highly detailed, clean line art, glossy anime rendering, premium visual-novel key art, perfect for a niche anime banner or character-themed thumbnail.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;粉色动漫-natsuki-横幅&#34;&gt;粉色动漫 Natsuki 横幅
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill/status/2047639852485620070&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mirochill&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/033.webp&#34;
	width=&#34;1199&#34;
	height=&#34;514&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/033_hu_b393e9af90388b65.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/033_hu_e2b33106bf913462.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;粉色动漫 Natsuki 横幅&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;233&#34;
		data-flex-basis=&#34;559px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A glossy pastel pink anime banner in a wide cinematic layout, themed around cute romance and sweets. Place a confident teenage anime girl on the right side, shown from about thigh-up, with short fluffy bob hair in {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;soft pink&amp;#34;}, large pink-magenta eyes, a small gentle smile, and arms crossed. She wears a Japanese school uniform: 1 brown blazer, 1 white shirt, 1 red ribbon bow at the collar, and 1 dark navy-and-purple plaid skirt. Add 2 red ribbon hair accessories, one larger bow on the side and one smaller ribbon accent. On the left half, feature the large handwritten script name {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Natsuki&amp;#34;} in bold glossy 3D cursive, white-to-pink fill with bright pink outline, soft bevel, subtle drop shadow, sparkles, and a small heart flourish integrated into the lettering. The background should be a layered scrapbook collage in blush pink tones with notebook paper texture, faint grid and torn paper details, scattered doodled hearts, flower petals, sparkles, and cute bakery motifs. Include exactly 4 pinned or taped sketch-style portrait cards of the same girl behind her on the upper-right and mid-right, arranged like overlapping polaroids. Add exactly 2 cupcakes in the foreground near the bottom left and lower center-left, both with pink frosting, striped wrappers, and tiny heart toppers or candy accents. Frame the composition with flowing satin ribbons and bows: exactly 4 major ribbon elements visible, including 1 bow near the top left, 1 bow near the bottom left, and 2 long curling ribbons sweeping across the top and right edges. Use a soft high-detail anime illustration style, polished lighting, dreamy bloom, romantic Valentine palette, delicate textures, and a clean impactful thumbnail-like composition.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;梦幻动漫-sayori-横幅&#34;&gt;梦幻动漫 Sayori 横幅
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill/status/2047639852485620070&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mirochill&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mirochill&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/034.webp&#34;
	width=&#34;1199&#34;
	height=&#34;514&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/034_hu_5322be357707c779.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/034_hu_11a6eee064b46f5b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;梦幻动漫 Sayori 横幅&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;233&#34;
		data-flex-basis=&#34;559px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A wide anime banner illustration of {argument name=&amp;#34;character name&amp;#34; default=&amp;#34;Sayori&amp;#34;} in a bright dreamy classroom, rendered in a polished, high-end visual novel style with soft painterly lighting, warm pastel colors, and sparkling atmosphere. Show a cheerful teenage schoolgirl with short fluffy coral-pink hair, messy bob layers, and a large red bow on the right side of her head, wearing a Japanese school uniform with a light brown blazer, white shirt, red ribbon tie, brown sweater vest, and pleated navy skirt. She stands slightly left of center with arms open wide in an inviting, joyful pose, as if welcoming the viewer, with dynamic perspective and gentle motion in her hair and clothes. Her face is intentionally obscured by a flat rectangular skin-tone censor block. Behind her, tall classroom windows reveal a vivid blue sky with soft white clouds and warm sunlight streaming in. The right half of the image features a large decorative handwritten script reading {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;Sayori&amp;#34;}, cream-white lettering with a soft orange-gold outline and glow, integrated into a scrapbook-like wall background. Surround the scene with hanging photo prints clipped to string, including sky photos and a sunflower photo, plus hand-drawn doodles of clouds, stars, hearts, and a sun. Add blue and yellow paper stars, ribbons, floating confetti, a blue paper airplane, notebook pages, a spiral sketchbook, and scattered stationery elements. Place sunflowers prominently in the foreground and edges, with warm golden bokeh and soft depth of field. Make the composition energetic, cute, nostalgic, and emotionally uplifting, like a premium anime-themed YouTube banner or character tribute header, ultra-detailed, clean, stylish, luminous, and impact-focused.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;赛博朋克-404-女巫召唤&#34;&gt;赛博朋克 404 女巫召唤
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Eris_Create_Lab/status/2047537707904274795&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Eris_Create_Lab&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Eris_Create_Lab&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/035.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/035_hu_b5363cd3ebd4a4b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/035_hu_4b461d992e17609.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;赛博朋克 404 女巫召唤&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dramatic anime-style cyberpunk witch standing on a dark rooftop high above a dense futuristic city at night, viewed from a slightly elevated angle. The main subject is a petite young witch girl with pale skin, short icy blue bobbed hair, pointed elf-like ears, and glowing red eyes, wearing a sly confident smile. She raises a black wand overhead in her right hand, with a dangling orb charm at the tip glowing faintly purple and red. Her oversized crooked witch hat is black with purple lining and covered in stitched patches, warning labels, straps, and white graphics including a large “404” and a skull emblem. She wears a black and purple techwear outfit: oversized hooded jacket with many straps and tags, black crop top with “404” on the chest, layered belts, short bottoms, fishnet on one leg, black lace-up combat boots, chokers, and metallic accessories. Several hanging straps and tags visibly read words like “WITCH 404,” “404,” and glitch-themed markings. Beneath and beside her, a large glowing violet magic circle mixed with hacker interface aesthetics is projected on the rooftop floor, filled with occult rings, sigils, a central skull symbol, and scattered neon system text such as error-code fragments, creating a fusion of sorcery and digital corruption. Emerging from the circle is 1 large armored summoned figure: a black futuristic demon-knight or robotic familiar with jagged reflective armor, a narrow purple-lit visor, and a heavy weapon held in one hand, partially dissolving into purple energy shards and smoke. The background shows a sprawling rainy megacity of apartment towers and industrial rooftops, packed with windows, balconies, cables, signs, and haze. On a nearby building wall is a giant vertical graffiti-style sign with 3 readable elements: “404”, “Witch”, and “ERROR NOT FOUND”, plus a smaller “E404”. Additional purple neon glitch text and symbols are scattered across rooftops and in the air. Use a dark palette of black, indigo, and deep violet with sharp magenta-purple highlights, cinematic contrast, reflective wet surfaces, dense detail, and a high-end polished illustration style. The mood is occult, edgy, stylish, and dangerous, combining urban fantasy, hacker aesthetics, and magical summoning.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫奇幻旅行电影海报&#34;&gt;动漫奇幻旅行电影海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Design4p0/status/2047531978346398002&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Design4p0&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Design4p0&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/036.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/036_hu_f9b3ef362bb33790.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/036_hu_61c831e17c5229a1.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫奇幻旅行电影海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic anime movie poster for a fictional film titled {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;EL VIAJE DE LA LUNA DE PLATA&amp;#34;}, in polished modern Japanese animation style with a natural, less over-detailed look. Center a teenage anime girl from mid-thigh up, facing forward, with a short silver bob haircut, pale skin, a black choker, small black geometric earrings, a white tank top, and a dark navy oversized zip hoodie with two yellow stripes running down the sleeves. She has a backpack strap over one shoulder and both hands tucked casually into the hoodie pockets. Her face is obscured by a flat rectangular censor block in a muted beige tone, covering the entire face area. Place her in a dramatic twilight coastal city setting that blends travel, nostalgia, and fantasy: on the left, a lit train platform with a commuter train approaching, its destination sign showing Japanese characters; behind it, a glowing city skyline with a ferris wheel. In the distance and lower left, layered mountains and a winding illuminated valley road. On the right, a cliffside coast at sunset with the sea reflecting warm light, a crescent moon in the sky, several flying seabirds, and a curving highway descending along the hillside. Also on the right, include a wooden signpost with exactly 3 directional signs labeled &amp;#34;NUEVOS CAMINOS&amp;#34;, &amp;#34;VIEJOS RECUERDOS&amp;#34;, and &amp;#34;SIN LÍMITES&amp;#34;. At the top center, add the Spanish tagline {argument name=&amp;#34;tagline text&amp;#34; default=&amp;#34;CADA DESTINO CAMBIA SU HISTORIA&amp;#34;} in elegant serif capitals. On the upper left, create an awards column in gold typography with laurel wreaths and exactly 4 award blocks: one text block reading &amp;#34;GANADORA DE MÚLTIPLES PREMIOS&amp;#34; with 5 gold stars beneath it, then three laurel award sections reading &amp;#34;MEJOR PELÍCULA ANIMADA / FESTIVAL INTERNACIONAL DE ANIMACIÓN / 2024&amp;#34;, &amp;#34;PREMIO DEL PÚBLICO / FESTIVAL INTERNACIONAL DE CINE / 2024&amp;#34;, and &amp;#34;MEJOR BANDA SONORA ORIGINAL / ACADEMIA DE CINE ANIMADO / 2024&amp;#34;. Place the film title large across the lower center in luminous ornate serif lettering with a magical glow and sweeping flourishes, layered partly over the character. Beneath it, add the Spanish quote {argument name=&amp;#34;quote&amp;#34; default=&amp;#34;A veces, para encontrarte... tienes que perderte en el mundo.&amp;#34;}. Below that, add &amp;#34;UNA PELÍCULA DE ESTUDIO LUMINARIA&amp;#34; in small caps. At the bottom, add the release line {argument name=&amp;#34;release text&amp;#34; default=&amp;#34;PRÓXIMAMENTE EN CINES&amp;#34;} in large gold serif capitals, plus tiny production logos and credits along the footer, including a small studio emblem on the left. Rich blue, violet, and warm sunset orange palette, glossy poster lighting, romantic adventure mood, balanced composition, highly polished theatrical key art, vertical one-sheet film poster.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫音乐训练营宣传海报&#34;&gt;动漫音乐训练营宣传海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sorane_aimusic/status/2047507066697507134&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sorane_aimusic&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sorane_aimusic&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/037.webp&#34;
	width=&#34;900&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/037_hu_9ebcb90fe3d33c90.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/037_hu_c896eb8c5c5520af.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫音乐训练营宣传海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;75&#34;
		data-flex-basis=&#34;180px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a dramatic Japanese anime-style promotional thumbnail poster for an event, vertical 4:5 composition, ultra-detailed, cinematic, neon-lit, high contrast, designed like a social media announcement image. The main subject is a beautiful anime girl centered slightly right, shown from the waist up, with long flowing {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;deep blue&amp;#34;} hair blowing in the wind, decorated with small star hairpins, wearing a dark hoodie and large studio headphones around her neck, against a glowing sunset-to-night city skyline filled with sparkling lights, music-energy particles, lens flares, and flying glowing petals. Her face area is obscured by a soft rectangular blur block. Use a vivid palette of electric blue, violet, magenta, gold, and sunset orange. Fill the design with layered Japanese typography that is crisp, readable, and integrated into the art like a polished event advertisement. Include exactly 8 major text groups: top left copy reading 「始まるのは、キミと創る 音楽の物語。」 with a smaller subcopy beneath reading 「AIを使って、みんなで音楽をつくる特別な3日間。」; top right a glowing marquee sign reading 「GW連休!」 and a smaller neon box below reading 「みんなで最高の音楽をつくろう!」; center main title with small English text 「AI MUSIC BOOTCAMP 2」 above huge Japanese title text 「AI音楽 ブートキャンプ 2」; a gigantic gold metallic announcement across the middle reading 「開催決定!」; a date bar reading 「開催期間」 followed by 「5.2 SAT 土」 and 「5.4 MON 月」; a hashtag callout near the bottom reading 「参加はカンタン!! #AI音楽ブートキャンプ2 をつけて投稿するだけ!」; a lower encouragement line reading 「初心者も大歓迎! みんなで最高の音楽体験を!」; and 3 bottom feature captions with icons reading 「一緒に学ぶ 仲間とつながる」, 「AIで創る 新しい音楽体験」, and 「想いをカタチに 自分だけの1曲を」. On the left edge, add a vertical filmstrip with exactly 4 inset panels showing the same girl in music-related scenes: 1) performing on a stage before a crowd, 2) working at a music production desk with screens and equipment, 3) singing into a microphone, 4) playing an acoustic guitar. Add exactly 2 neon music-themed icon illustrations in the lower area: a tilted smartphone with a music note on the lower left and a glowing microphone with musical notes on the lower right. Make the text effects glossy, luminous, and embossed with gold and white highlights, with energetic streaks and spark explosions around the headline. The overall feeling should be inspiring, celebratory, futuristic, and emotionally uplifting, like a high-impact Japanese Golden Week music bootcamp ad for {argument name=&amp;#34;event name&amp;#34; default=&amp;#34;AI音楽ブートキャンプ 2&amp;#34;}.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;热带鹦鹉像素马赛克&#34;&gt;热带鹦鹉像素马赛克
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/erikmackinnon/status/2048190288179675290&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/erikmackinnon&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@erikmackinnon&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/038.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/038_hu_e7d5a0eeeb2f8e5f.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/038_hu_cee3d515fddffdd5.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;热带鹦鹉像素马赛克&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A vibrant pixel-art style mosaic of a tropical parrot perched on a small brown branch in the middle of dense rainforest foliage. The entire image is rendered as a tight grid of tiny square tiles with visible black outlines, creating a stained-glass or LED-screen effect. The bird is shown in side profile facing right, with a large curved black beak, a pale cream face, a bright red-orange forehead and throat, vivid green upper body, and long wings and tail in saturated blue and cyan. The surrounding jungle is filled edge to edge with layered green leaves in many shades, with a soft light green glow behind the parrot to separate it from the background. High color contrast, rich tropical palette, crisp tile pattern, centered composition, decorative digital mosaic aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;温室酒吧里的金色鸡尾酒&#34;&gt;温室酒吧里的金色鸡尾酒
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/FernandesK47117/status/2048183925294371147&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/FernandesK47117&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@FernandesK47117&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/039.webp&#34;
	width=&#34;675&#34;
	height=&#34;1199&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/039_hu_252e19d6194745a9.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/039_hu_d48d1ae02359ae40.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;温室酒吧里的金色鸡尾酒&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic vertical photo of a hand holding up a large balloon wine glass filled with a sparkling golden-yellow citrus cocktail in a lush indoor greenhouse bar. The drink is backlit by warm late-afternoon sunlight, making it glow translucent amber. Inside the glass there is 1 visible citrus wedge, and at the rim there is 1 fresh mint garnish cluster. The hand enters from the lower left, delicately gripping the stem, wearing 1 chunky translucent amber bracelet. The setting is dense with tropical greenery, hanging ferns, and vine-covered walls, with a bright greenhouse roof structure visible overhead and 2 warm exposed hanging bulbs softly glowing in the background. Use shallow depth of field with creamy bokeh, strong sun rays filtering through leaves, soft haze, and rich green-and-gold color contrast. Add a blurred foreground leaf or plant along the right edge to frame the composition. The lower background should suggest a busy café or cocktail lounge with indistinct people, but keep them heavily out of focus. Photorealistic, elegant lifestyle photography, moody yet sun-drenched, shot from a low angle looking upward at the raised glass, high detail on condensation, glass reflections, and the luminous drink.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;多面板图像板模板&#34;&gt;多面板图像板模板
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/aimikoda/status/2048183782876778821&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/aimikoda&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@aimikoda&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/040.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/040_hu_19301fce8cc60ac5.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/040_hu_89197a97ec704f92.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;多面板图像板模板&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a {argument name=&amp;#34;grid layout&amp;#34; default=&amp;#34;4x3&amp;#34;} borderless grid where each panel is an independent image of the {argument name=&amp;#34;subject&amp;#34; default=&amp;#34;a young woman&amp;#34;}. Maintain strong subject consistency across all panels, with consistent color and lighting. Depict {argument name=&amp;#34;theme&amp;#34; default=&amp;#34;childhood memories&amp;#34;} with a {argument name=&amp;#34;mood&amp;#34; default=&amp;#34;warm, nostalgic&amp;#34;} mood in {argument name=&amp;#34;style&amp;#34; default=&amp;#34;nostalgic cinematic realism&amp;#34;} style. No text. No gap.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;handwritten-写实-letter&#34;&gt;Handwritten 写实 Letter
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/mosthssan/status/2048160477658980711&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/mosthssan&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@mosthssan&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/041.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/041_hu_a2746ec4437d71a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/041_hu_8c20723e8c102965.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Handwritten 写实 Letter&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a highly realistic image of a handwritten letter containing a ({argument name=&amp;#34;message&amp;#34; default=&amp;#34;message or reflection carrying meanings of affection and loyalty to my account followers&amp;#34;}) on lined paper, with very touching words written in liquid ink pen
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;anime-band-finale-at-budokan&#34;&gt;Anime Band Finale at Budokan
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/SDAI1807097011/status/2048127178592915583&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/SDAI1807097011&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@SDAI1807097011&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/042.webp&#34;
	width=&#34;767&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/042_hu_6f38d7ee23d7fca4.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/042_hu_2a77149fd84bbfd.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Anime Band Finale at Budokan&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;74&#34;
		data-flex-basis=&#34;179px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A dramatic anime concert illustration seen from behind the performers onstage, showing 4 teenage girls standing shoulder to shoulder at the front of a huge indoor arena, arms around each other in a triumphant post-performance moment. The camera is positioned slightly behind and below them, facing out toward the audience and the giant venue screen. The atmosphere is dazzling and emotional, filled with dense blue-and-gold confetti, sparkling particles, and strong white stage spotlights pouring down from above. The crowd fills the entire arena as a sea of tiny glowing blue lights. At center top, a giant rectangular screen displays elegant serif concert text: {argument name=&amp;#34;band name&amp;#34; default=&amp;#34;ELEMAYU&amp;#34;}, &amp;#34;1st LIVE at 日本武道館&amp;#34;, {argument name=&amp;#34;concert date&amp;#34; default=&amp;#34;2024.6.15&amp;#34;}, and &amp;#34;SOLD OUT&amp;#34;. On both upper side walls of the arena, the large venue name &amp;#34;日本武道館&amp;#34; is visible. The 4 girls all wear matching dark stage outfits: black or very dark navy hooded jackets with subtle decorative back prints, short pleated skirts, and live-performance styling. Count and depict all 4 members distinctly from left to right: 1) a girl with short wavy silver-lavender hair holding a bass guitar slung over her shoulder, 2) a girl with long straight black hair holding a red electric guitar, 3) a girl with fluffy shoulder-length blonde hair holding a dark guitar, 4) a girl with brown hair in a high ponytail, no visible instrument, raising one arm high and holding a drumstick or baton in celebration while the other arm wraps around the blonde member. Show their backs and silhouettes rim-lit by stage light, with soft highlights on their hair. Include stage equipment: a microphone stand and part of a bass neck at the far left, and a visible drum kit with cymbals at the right edge. The stage floor is glossy and reflective, covered with scattered confetti and several blue flower bouquets near the bottom foreground. Use rich midnight blues, violet shadows, warm golden sparkles, and cinematic bloom. The mood should feel like a sold-out dream performance finale, sentimental, victorious, and breathtakingly luminous, in highly detailed painterly anime style.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;动漫少女与男性约会照片拼贴&#34;&gt;动漫少女与男性约会照片拼贴
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIillust_studio/status/2048099186214900130&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIillust_studio&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIillust_studio&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/043.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/043_hu_fbe12bbcbcb09878.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/043_hu_deb555056dbb63f9.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;动漫少女与男性约会照片拼贴&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A 4x4 photo collage of 16 warm, cinematic lifestyle snapshots featuring a real adult man and an anime-style young woman companion posed together as if in casual date photos. The man has short dark hair, light skin, an average build, and wears a plain dark navy or black long-sleeve shirt; his face is intentionally obscured and softly blurred in every frame. The anime girl has long blonde twin ponytails, large blue eyes, light skin, and a slim petite build, wearing a black sleeveless top, layered silver necklaces including a cross pendant, black wrist accessories, a red plaid pleated mini skirt, and black-and-white striped thigh-high socks. Blend realistic photography with a convincingly integrated 2D anime character, keeping her clean cel-shaded look while matching the scene lighting, perspective, focus, and color grading so she appears naturally present beside him. Use moody evening tones, soft bokeh, shallow depth of field, and intimate candid couple energy. The 16 panels are: 1) close indoor portrait with both seated close together, the girl resting beside him; 2) nighttime city street side profile conversation under blurred streetlights; 3) indoors, both reading a book together, the girl leaning on his shoulder; 4) outdoor cafe table, both holding takeaway coffee cups; 5) restaurant table with multiple dishes visible, dining together; 6) mirror selfie in an elevator, the man holding a smartphone while the girl makes a peace sign; 7) car interior road-trip shot, the man driving and the anime girl in the passenger seat; 8) seaside sunset from behind, both sitting side by side watching the ocean; 9) neon-lit city night portrait, the girl pointing toward the camera; 10) intimate elevator close-up, the girl with eyes closed leaning affectionately against him; 11) full mirror selfie in an elevator showing more of both outfits; 12) night city skyline portrait with a lit tower in the background; 13) camera selfie close-up, the man holding a compact camera toward a mirror or reflective surface; 14) cozy indoor lounge moment, the man holding a glass of red wine while the girl smiles and makes a peace sign; 15) rear full-body rainy night street shot, the pair walking away hand in hand under glowing streetlights; 16) extreme close-up night portrait with the girl flashing a peace sign. Keep the collage tightly gridded with thin white dividers, square overall format, consistent amber-brown color grading, romantic urban realism, and subtle social-media photo-dump aesthetics.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;奢华-lifestyle-mustang-shot&#34;&gt;奢华 Lifestyle Mustang Shot
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Just_sharon7/status/2048095904138485962&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Just_sharon7&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Just_sharon7&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/044.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/044_hu_32ee949f06932356.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/044_hu_d07d56ec1c576cb8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;奢华 Lifestyle Mustang Shot&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A stylish young woman with {argument name=&amp;#34;hair style&amp;#34; default=&amp;#34;long wavy blonde hair&amp;#34;}, defined cheekbones, and a confident expression, wearing black sunglasses and a {argument name=&amp;#34;clothing&amp;#34; default=&amp;#34;thick white puffer jacket&amp;#34;} over a fitted black top, standing confidently in front of a {argument name=&amp;#34;car&amp;#34; default=&amp;#34;vibrant hot-pink Ford Mustang&amp;#34;}. She is posing with one hand slightly raised near her chest, exuding effortless attitude and elegance. The car is parked on a scenic coastal road lined with blooming pink cherry blossom trees and tall palm trees. Behind them is a calm sea under a dramatic overcast sky with soft clouds. Pink petals are scattered on the wet asphalt. A wooden bench is visible on the left side near the water. Cinematic lighting, photorealistic, ultra-detailed skin texture, natural lighting reflections, Instagram-style luxury lifestyle shot, vibrant colors, moody atmosphere, 8k resolution --ar 9:16 --stylize 250
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;anime-friends-eating-soba&#34;&gt;Anime Friends Eating Soba
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/AIMAG31G/status/2048089673621516547&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/AIMAG31G&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@AIMAG31G&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/045.webp&#34;
	width=&#34;1200&#34;
	height=&#34;821&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/045_hu_f3ad5e7e56139856.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/045_hu_d22c9a09750d4c8e.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Anime Friends Eating Soba&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;146&#34;
		data-flex-basis=&#34;350px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cozy anime-style interior of a traditional Japanese soba restaurant, viewed from table height in a booth, with two young women seated across the near corners of a rectangular wooden table and facing the viewer in a casual dining snapshot. The left woman has long straight pastel {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;lavender with cyan highlights&amp;#34;} hair with glossy strands and soft bangs, and wears a white kimono-style top with bright blue trim and a deep blue obi-like sash skirt; she is slightly curvy, sitting on the left red vinyl bench, turned a little toward the camera, raising her left hand in an open friendly wave. The right woman has a sleek short bob in dark brown to black with a purple underlayer visible near the ends, red rectangular glasses, small earrings, a fitted charcoal-gray long-sleeve scoop-neck top, and light blue jeans; she sits on the right red vinyl bench, leaning slightly toward the table and holding chopsticks in her right hand as if about to eat. Place 2 large black bowls of soba on the table, one in front of each woman, both filled with dark broth, noodles, sliced duck meat, and chopped green onions; add 1 clear water glass near the center back of the table and 2 small condiment dishes beside it. The restaurant should feel warm and nostalgic, with wooden paneling, a shoji-style window on the left, a small potted plant on the windowsill, a back counter with condiments and utensils, and a navy noren curtain on the right bearing large white Japanese text &amp;#34;蕎麦&amp;#34; and smaller vertical text &amp;#34;手打ちそば&amp;#34;. On the back wall, show 7 vertical wooden menu boards with Japanese dish names and prices, including labels such as &amp;#34;もりそば&amp;#34;, &amp;#34;ざるそば&amp;#34;, &amp;#34;かけそば&amp;#34;, &amp;#34;たぬきそば&amp;#34;, &amp;#34;肉そば&amp;#34;, &amp;#34;天ぷらそば&amp;#34;, and &amp;#34;鴨南蛮そば&amp;#34;. Use clean polished anime rendering, crisp line art, soft warm lighting, detailed food illustration, rich wood textures, and a friendly everyday outing mood.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;哥特机械战士大教堂关键视觉&#34;&gt;哥特机械战士大教堂关键视觉
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/yanagihara_0805/status/2048085829713842405&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/yanagihara_0805&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@yanagihara_0805&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/046.webp&#34;
	width=&#34;675&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/046_hu_5f71e547796d351b.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/046_hu_29c0319bd8507c36.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;哥特机械战士大教堂关键视觉&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;56&#34;
		data-flex-basis=&#34;135px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic dark fantasy anime illustration in a ruined gothic cathedral, vertical composition. Show a lone female android-like warrior from behind, centered slightly low in frame, kneeling or sitting back on her heels on a reflective stone floor. She has extremely long flowing {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;silver white&amp;#34;} hair spreading across the floor and air, a sleek black blindfold visor covering her eyes, and a black high-cut gothic combat dress with elegant straps, long black opera gloves, and thigh-high black boots. Her physique is slim and graceful. She holds 1 large ornate sword upright in front of her, with both hands resting on the hilt, the blade planted on the ground like a memorial. The sword has a dark blade and a decorative gold ring-like guard near the handle. The atmosphere is solemn, tragic, and reverent. Place 3 tall pointed arched windows in the background, glowing with cold white backlight through haze and dust. Include 4 stone angel statues total: 2 larger angels in the left background and 2 in the right background, partially obscured by fog and darkness. Fill the air with drifting ash, snow-like particles, black debris fragments, and a few faint orange embers near the floor. Use dramatic volumetric light rays, soft bloom, smoky mist, high contrast, and a desaturated palette of charcoal gray, silver, blue-gray, and black. The scene should feel like a memorial after a battle, highly detailed, ultra-polished, melancholic, ethereal, and game key art inspired by {argument name=&amp;#34;franchise title&amp;#34; default=&amp;#34;NieR:Automata&amp;#34;}. Add 1 vertical Japanese title inscription near the lower left reading {argument name=&amp;#34;vertical text&amp;#34; default=&amp;#34;儚き夢と共にあれ&amp;#34;}, with 1 small vertical English subtitle beside it reading {argument name=&amp;#34;subtitle text&amp;#34; default=&amp;#34;NieR:Automata&amp;#34;}.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;cloud-shape-doodle-generation&#34;&gt;Cloud shape doodle generation
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Gorden_Sun/status/2048080137149899133&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Gorden_Sun&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Gorden_Sun&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/047.webp&#34;
	width=&#34;1200&#34;
	height=&#34;972&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/047_hu_e30673326a8eb001.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/047_hu_3e83eb8d79a3319b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Cloud shape doodle generation&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;123&#34;
		data-flex-basis=&#34;296px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Based on the shape of the {argument name=&amp;#34;subject&amp;#34; default=&amp;#34;clouds&amp;#34;} in the image, identify what object, animal, or person they most resemble. Do not change the original image; instead, draw that object, animal, or person over the original image in a {argument name=&amp;#34;art style&amp;#34; default=&amp;#34;doodle&amp;#34;} style.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;rural-station-schoolgirl-scene&#34;&gt;Rural Station Schoolgirl Scene
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/m_Raiko_AIart/status/2048069313387737222&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/m_Raiko_AIart&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@m_Raiko_AIart&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/048.webp&#34;
	width=&#34;1200&#34;
	height=&#34;900&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/048_hu_66cd8f2405b1b74d.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/048_hu_d773f4afd927dd3d.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Rural Station Schoolgirl Scene&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;133&#34;
		data-flex-basis=&#34;320px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic anime-style illustration of a quiet rural Japanese train station in early summer, filled with travel nostalgia and bright midday light. In the foreground, one high school girl stands alone on the platform near the left side of the frame, facing slightly toward the viewer with a shy, gentle posture, her legs together and one foot angled inward. She has {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;black&amp;#34;} short bobbed hair with soft bangs, and wears a classic Japanese sailor school uniform: a white long-sleeved sailor blouse with navy trim, a vivid red neckerchief, a dark navy pleated skirt, white socks, and dark brown loafers. She holds a dark school bag in one hand at her side. Her expression should feel calm, a little wistful, as if she was just about to speak before the train arrived. Place her beside an old weathered wooden station building with large windowpanes and a simple wooden bench. Above her is 1 hanging station sign reading {argument name=&amp;#34;station name&amp;#34; default=&amp;#34;山ノ下駅&amp;#34;}, with smaller romanized text “YAMANOSHITA” and small local line information beneath it. The right half of the image opens to 1 set of railway tracks receding into the distance, bordered by lush green grass and wildflowers, with 1 small local train approaching from far down the line. Add a few utility poles running alongside the tracks. In the deep background, show a dramatic mountain range with lingering snow on the peaks under a vivid blue sky with scattered white clouds. Composition should balance the girl on the left and the railway perspective on the right, with detailed background scenery, crisp sunlight, soft anime rendering, realistic textures in the station wood and rails, and a heartfelt slice-of-life travel mood.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;真实居酒屋里的动漫角色照片&#34;&gt;真实居酒屋里的动漫角色照片
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sub_raw_jin/status/2048066779835220392&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sub_raw_jin&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sub_raw_jin&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/049.webp&#34;
	width=&#34;1200&#34;
	height=&#34;676&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/049_hu_3829d64e8a65e8fe.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/049_hu_b545c96841923dc4.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;真实居酒屋里的动漫角色照片&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A candid indoor restaurant photo in a realistic anime-inspired style, showing two young women seated at a small worn wooden table inside a cozy Japanese izakaya with vertical wood-paneled walls and a clear plastic tent-like curtain on the right side. The camera is slightly above table height and angled diagonally toward the table, creating a casual snapshot feeling. One woman is in the left foreground with her back mostly to the viewer, leaning forward over the table; she has long straight dark hair and wears a bulky dark navy or black puffer jacket with a large hood. The second woman sits across from her on the right, facing the camera with a relaxed posture and one arm bent on the table; she has shoulder-length dark brown to black hair, a center part, a black puffer jacket, and a light inner shirt. Replace only the people with clean, natural-looking anime characters while keeping the restaurant environment photorealistic and unchanged. Preserve the mixed-media look of anime characters composited believably into a real photo. On the table, include 2 stainless steel mugs, 2 pairs of chopsticks, 1 smartphone with a bright blue case near the center-left edge of the table, 1 cigarette pack near the right woman, 1 large oval plate with thinly sliced white onions and a lemon wedge, 1 small dish of green vegetables, 1 small plate of brown food, 1 small plate with toast or grilled bread, 1 small dark bowl, 2 small empty white bowls, and 1 printed handwritten Japanese menu sheet lying on the lower right corner of the table. In the upper left background, include a wooden counter with white ceramic bottles and dishes, plus 1 handwritten Japanese wall menu poster. Warm indoor lighting, everyday nightlife atmosphere, documentary realism, detailed wood grain, slightly cluttered tabletop, authentic casual dining scene in Japan.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;anime-campers-in-a-winter-tent&#34;&gt;Anime Campers in a Winter Tent
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/sub_raw_jin/status/2048066779835220392&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/sub_raw_jin&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@sub_raw_jin&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/050.webp&#34;
	width=&#34;1200&#34;
	height=&#34;555&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/050_hu_a99b34861ac85714.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/050_hu_98e47f7fff418fc8.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Anime Campers in a Winter Tent&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;216&#34;
		data-flex-basis=&#34;518px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cozy winter camping scene inside a large beige canvas tent, rendered as a semi-realistic anime illustration with natural lighting and realistic environmental detail. Show exactly 2 seated young women around a compact kerosene heater used as a camp table, with a large black metal pot resting on top. The viewpoint is a candid wide-angle photo composition from slightly above seated height, making the scene feel like a casual snapshot taken inside the tent. The woman on the left has {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;dark brown&amp;#34;} hair tied in a high ponytail with loose bangs, and wears a fluffy brown fleece jacket, dark pants, and a red lanyard with an ID card. She sits in a low camping chair and leans forward, using chopsticks over a small bowl or food container in her hands. The woman on the right has {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;black&amp;#34;} shoulder-length hair and wears a muted purple hoodie layered under a black puffer vest, light gray sweatpants, and dark shoes. She sits in another low camping chair, resting her cheek on one hand in a relaxed, sleepy pose. Keep both faces obscured by a soft rectangular blur block, as if anonymized in a posted photo. Around them, include exactly 4 red beverage cans visible in the scene: 2 on the wooden table planks near the center, 1 cropped in the lower right foreground, and 1 farther back near the right side. Build a low U-shaped arrangement of 3 wooden bench planks surrounding the heater. Add small camping details: 1 olive duffel bag on the left ground, 1 plastic storage box with supplies behind the left woman, 1 white plastic shopping bag on top of the box, 1 small bowl on the table, 1 colorful snack package on the right-side plank, 1 soft brown cloth on the far left floor, and 1 black metal rack frame standing at the back right. The tent interior should have taut canvas walls, visible seams and support poles, a gravel ground, and a warm muted color palette. Preserve the feeling of a real camping photo where only the people have been turned into anime-style characters while the setting remains highly realistic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;bmw-performance-social-海报&#34;&gt;BMW Performance Social 海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis/status/2048063332624843046&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/harboriis&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@harboriis&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/051.webp&#34;
	width=&#34;800&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/051_hu_6c345699f3ac4fe0.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/051_hu_7a3e30600c6fd652.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;BMW Performance Social 海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;66&#34;
		data-flex-basis=&#34;160px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create a 4:5 vertical social poster in ultra high resolution, 8K print quality sharpness. Use the {argument name=&amp;#34;car model&amp;#34; default=&amp;#34;BMW car&amp;#34;} from the reference image as the main subject and use the background structure/composition from the reference image, but transform it into a BMW themed design. Replace all black tones with a flat {argument name=&amp;#34;background color&amp;#34; default=&amp;#34;high-saturation BMW blue&amp;#34;} background. Keep the same layout, spacing, visual balance, and poster composition from the reference image. Background should use a smooth gradient from slightly lighter electric blue at the top to deep navy blue at the bottom. Add subtle grain texture (2 to 3%) and faint rectangular overlays (2 to 4% opacity). Keep it clean, graphic, premium, and non-realistic. Add a soft contact shadow under the car. Use the same BMW from the reference image, changing only the {argument name=&amp;#34;paint finish&amp;#34; default=&amp;#34;matte frozen blue&amp;#34;} or deep metallic navy. Keep the original body shape, wheels, stance, and design details from the reference image. Show the car in a rear 3/4 perspective matching the reference image angle exactly. Use a slightly elevated camera angle. Position the car slightly right of center. Include visible carbon roof, aggressive rear diffuser, sharp controlled reflections, and subtle brake details. Keep composition identical to the reference image: Top: branding Middle: giant type Center: car overlapping text Bottom: editorial block and specs Typography: Primary text: “BMW” Ultra condensed bold sans serif, tall vertical scaling like the reference poster. Color deep navy or near black. Static text with no distortion. Acts as structural backdrop. Secondary header: “BMW M4 G82” Thin font with wide tracking. Logo area: BMW roundel centered above. Editorial block: Headline: “BMW — Where Driving Becomes Instinct” Body copy focused on: driver connection control performance precision Use the same boxed editorial layout as the reference image. Background faded text: “M4” large scale with 3 to 5% opacity behind the box. Bottom left: “ M4 G82” Bottom right specs: 405 kW / 550 PS 3.4 s 307 km/h Lighting should be clean studio lighting with sharp but controlled highlights. Color grading should use deep blues, high contrast, clean blacks. Camera lens: 50mm, slightly elevated rear 3/4 angle. Mood: Performance. Precision. Driver focus. Add Bottom-right watermark: harboriis , with small x and Instagram logo
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;电影感-chicken-momos-ad-海报&#34;&gt;电影感 Chicken Momos Ad 海报
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/Diplomeme/status/2048060325925470358&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/Diplomeme&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@Diplomeme&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/052.webp&#34;
	width=&#34;1024&#34;
	height=&#34;1024&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/052_hu_7112beaf8f90a74a.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/052_hu_b8863ee9d849010b.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;电影感 Chicken Momos Ad 海报&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A hyper-realistic cinematic street-food advertisement poster for {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;Licious&amp;#34;} frozen {argument name=&amp;#34;product name&amp;#34; default=&amp;#34;Chicken Momos&amp;#34;}, shot in a dark premium studio with dramatic moody lighting, deep navy-black background, glossy black tabletop, and high contrast commercial food photography styling. The composition is a square social-media ad layout with oversized bold condensed white sans-serif headline text on the left reading {argument name=&amp;#34;headline text&amp;#34; default=&amp;#34;PERFECTLY MADE.&amp;#34;} stacked across two lines, and a smaller white subheadline beneath it reading {argument name=&amp;#34;tagline text&amp;#34; default=&amp;#34;PRECISION IN EVERY BITE.&amp;#34;}. Along the far left edge, add thin vertical small caps text reading “FRESH • CLEAN • CONTROLLED”. Across the upper-right background, repeat the phrase “CUT / STEAM / SERVE / REPEAT” in a subtle dark gray pattern, and faintly repeat “CUT / STEAM / SERVE / REPEAT” again near the bottom-left floor area as perspective text. Feature exactly 6 momos total: 5 intact steamed chicken momos floating and arranged dynamically across the center and right side, and 1 split-open momo in the center revealing juicy orange-brown chicken filling with herbs, with a glossy red-orange sauce droplet dripping downward from the opened dumpling. Scatter small chili flakes, herb bits, and seasoning particles suspended in the air around the momos for explosive motion. Place exactly 3 retail product boxes on the right side, staggered in depth, black packaging with the {argument name=&amp;#34;brand name&amp;#34; default=&amp;#34;Licious&amp;#34;} logo and red product title “CHICKEN MOMOS,” including food photography of the dumplings on the box front. At the bottom right foreground, place 1 small black bowl filled with bright red dipping sauce. Add a thin footer line of small white text across the bottom reading “CHICKEN MOMOS • FRESHLY PREPARED • 2026 EDITION” and place “licious.com” in the lower-right corner. Use premium ad design, ultra-detailed food texture, glossy highlights on the dumplings, subtle steam sheen, crisp typography, shallow depth of field, and a polished high-end commercial campaign aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;nostalgic-16-photo-couple-grid&#34;&gt;Nostalgic 16-Photo Couple Grid
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/zenkaiAI/status/2048051889460437351&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/zenkaiAI&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@zenkaiAI&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/053.webp&#34;
	width=&#34;1200&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/053_hu_7c3db8708f8b6482.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/053_hu_92bd8818f70e0b78.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Nostalgic 16-Photo Couple Grid&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;100&#34;
		data-flex-basis=&#34;240px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;{&amp;#34;type&amp;#34;:&amp;#34;16-photo nostalgic contact sheet collage&amp;#34;,&amp;#34;style&amp;#34;:&amp;#34;dreamy film photography, soft blur, slightly underexposed, candid youthful romance, flash snapshots mixed with ambient dusk light, subtle grain, sentimental and bittersweet mood&amp;#34;,&amp;#34;subject&amp;#34;:{&amp;#34;people_count&amp;#34;:2,&amp;#34;relationship&amp;#34;:&amp;#34;young couple or former lovers spending time together&amp;#34;,&amp;#34;ages&amp;#34;:&amp;#34;early 20s&amp;#34;,&amp;#34;appearance&amp;#34;:{&amp;#34;male&amp;#34;:{&amp;#34;build&amp;#34;:&amp;#34;slim&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;short dark hair&amp;#34;,&amp;#34;clothing&amp;#34;:&amp;#34;loose white short-sleeve shirt, camera strap around neck in several shots&amp;#34;},&amp;#34;female&amp;#34;:{&amp;#34;build&amp;#34;:&amp;#34;slim&amp;#34;,&amp;#34;hair&amp;#34;:&amp;#34;shoulder-length dark hair&amp;#34;,&amp;#34;clothing&amp;#34;:&amp;#34;light sleeveless tops or soft casual summer clothes&amp;#34;}},&amp;#34;faces&amp;#34;:&amp;#34;intentionally obscured by soft rectangular blur blocks over every visible face&amp;#34;},&amp;#34;layout&amp;#34;:{&amp;#34;grid&amp;#34;:{&amp;#34;rows&amp;#34;:4,&amp;#34;columns&amp;#34;:4,&amp;#34;count&amp;#34;:16,&amp;#34;border&amp;#34;:&amp;#34;thin white dividers, equal square cells&amp;#34;},&amp;#34;images&amp;#34;:[{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;close cropped portrait of the woman in a white top at night, soft flash, dark background&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;close cropped blurred two-person selfie framing, both subjects partially visible, dark nighttime setting&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;young man standing at night and holding a compact silver camera up to his face, white shirt, distant lights behind him&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 1 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;woman on a beach or shoreline in low light, softly blurred, ocean horizon behind her&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;street candid of the man holding a camera near his face while walking outdoors in the evening, urban background with motion blur&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;close-up of the woman indoors or in a dim warm setting, hand raised near her face, flash-lit snapshot&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;blurred two-shot of the couple sitting close together by water at dusk, intimate candid composition&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 2 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;young man outdoors in greenery during daytime or early evening, looking down at a camera in his hands, white shirt and camera strap visible&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;woman close to the camera giving a peace sign, casual sleeveless top, sandy or beachlike background&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;back view of the man in a white shirt looking out over a cityscape at night from a high vantage point&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;woman indoors at night holding a compact camera directly toward the viewer, city lights beyond a window, flash aesthetic&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 3 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;tight cropped two-person selfie-like frame with both subjects partially visible, dark background&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 4 col 1&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;young man at the waterfront at dusk holding a camera to his eye, cloudy blue sky and distant shoreline behind him&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 4 col 2&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;soft night portrait of the woman on a city street with warm bokeh lights in the background&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 4 col 3&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;close intimate couple snapshot with both faces near each other, one subject making a peace sign, heavy blur and flash look&amp;#34;},{&amp;#34;position&amp;#34;:&amp;#34;row 4 col 4&amp;#34;,&amp;#34;description&amp;#34;:&amp;#34;rear view of the woman walking alone down a warmly lit narrow street at night, shoulder-length hair and light top visible&amp;#34;}]},&amp;#34;composition&amp;#34;:&amp;#34;each square feels like a memory fragment from one summer evening and a few nearby outings, varied framing, natural imperfection, casual amateur photography&amp;#34;,&amp;#34;color_palette&amp;#34;:&amp;#34;muted blues, warm tungsten yellows, soft skin tones, dark greens, charcoal night shadows, faded white clothing&amp;#34;,&amp;#34;camera_look&amp;#34;:&amp;#34;35mm point-and-shoot or disposable camera feel, shallow focus, motion blur, bloom around lights, occasional flash overexposure&amp;#34;,&amp;#34;quality&amp;#34;:&amp;#34;high-resolution collage with authentic analog softness, emotionally evocative and realistic&amp;#34;}
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;anime-bl-promo-缩略图&#34;&gt;Anime BL Promo 缩略图
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/himukai_an/status/2047981800535085555&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/himukai_an&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@himukai_an&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/054.webp&#34;
	width=&#34;1199&#34;
	height=&#34;675&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/054_hu_c949bbb5ffc3da07.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/054_hu_22313a14959dca4c.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;Anime BL Promo 缩略图&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;177&#34;
		data-flex-basis=&#34;426px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A bright, polished anime-style promotional thumbnail with a summer romance atmosphere. The composition is split visually, with large typography on the left and two handsome young men on the right. On the left side, place layered translucent white panels with soft glow and sparkles over a sky-blue background, featuring large elegant serif text &amp;#34;GPT&amp;#34; in a blue gradient at the top and &amp;#34;BL&amp;#34; in a lavender-to-violet gradient below. Add three lines of Japanese text arranged between and under them: &amp;#34;最新の画像生成で&amp;#34;, &amp;#34;作って&amp;#34;, and &amp;#34;遊んでみた&amp;#34;, in deep blue calligraphic Japanese type. Include subtle decorative accents such as small star glints, diagonal light streaks, dotted texture, and a cyan underline swoosh beneath the middle text. On the right side, show 2 anime boys from the waist up, leaning casually together beside a chain-link fence under leafy trees. The taller boy has tousled dark brown hair, a navy overshirt worn open over a white T-shirt, layered silver necklaces, and holds 1 plastic cup of iced coffee with a straw. The shorter boy has messy silver-white hair, a white T-shirt with a small crest emblem on the chest, black backpack straps over both shoulders, layered silver necklaces, and one small earring. Their poses are relaxed and intimate, with the dark-haired boy’s arm resting around the other. Use a luminous blue-and-white palette with soft sunlight, lens flare, bokeh, and a faint cityscape in the background, creating a clean social-media header or article thumbnail aesthetic.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;夜晚的艺术家与空灵缪斯&#34;&gt;夜晚的艺术家与空灵缪斯
&lt;/h3&gt;&lt;p&gt;&lt;a class=&#34;link&#34; href=&#34;https://x.com/almimeister/status/2048309710118687101&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original case&lt;/a&gt; / Author: &lt;a class=&#34;link&#34; href=&#34;https://x.com/almimeister&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;@almimeister&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/055.webp&#34;
	width=&#34;960&#34;
	height=&#34;1200&#34;
	srcset=&#34;https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/055_hu_8c4d3b82e3d3a6f7.webp 480w, https://knightli.com/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/055_hu_98818098bf668f.webp 1024w&#34;
	loading=&#34;lazy&#34;
	
		alt=&#34;夜晚的艺术家与空灵缪斯&#34;
	
	
		class=&#34;gallery-image&#34; 
		data-flex-grow=&#34;80&#34;
		data-flex-basis=&#34;192px&#34;
	
&gt;&lt;/p&gt;
&lt;p&gt;Full prompt:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;A cinematic anime-inspired digital illustration set at night inside a cozy artist&amp;#39;s room with large window panes and a warm city glow outside. On the left, a young male artist with {argument name=&amp;#34;hair color&amp;#34; default=&amp;#34;dark brown&amp;#34;} messy hair sits at a cluttered desk in side profile, leaning forward with one hand near his mouth and the other drawing with a pen on a tablet or sketchbook. The desk is covered with exactly 1 pen cup filled with pencils, 1 coffee mug, 1 open laptop or pen-display showing a sunset landscape, 1 spiral sketchbook with manga-style character drawings, 2 additional drawing books or pads, 1 small stack of about 4 books, and many scattered art cards and printed illustrations. On the right, a luminous ethereal anime girl made of blue-white light appears life-sized, facing the artist with both hands gently extended toward him. Her form is translucent, delicate, and composed of glowing contour lines, starry particles, and flowing strands of light, with long windblown hair and a soft dress-like silhouette. Between them, a magical stream of golden and white light spirals upward from the artist&amp;#39;s desk into the air, connecting creator and creation. Inside this swirling ribbon are exactly 12 to 16 floating image fragments and sketch pages: monochrome character sketches, scenic sunset paintings, small photo-like panels, and tiny icon-like cards, all orbiting in a curved arc from lower center to upper left and upper center. Around the upper half of the image, dozens of glowing musical notes float through the air, mixed with sparkling particles, creating the feeling that inspiration has become visible sound and memory. The palette is rich warm gold and amber on the artist&amp;#39;s side, contrasted with cool electric blue and white on the spirit girl&amp;#39;s side, with dramatic rim light, volumetric glow, intricate particles, and a dreamy emotional atmosphere. Composition is vertical, highly detailed, intimate, and poetic, evoking the relationship between {argument name=&amp;#34;person one&amp;#34; default=&amp;#34;you&amp;#34;} and {argument name=&amp;#34;person two&amp;#34; default=&amp;#34;me&amp;#34;} as artist and imagined muse, where drawings, music, memories, and fantasy physically manifest in the room. Add a small handwritten note card on the desk with {argument name=&amp;#34;note text&amp;#34; default=&amp;#34;二人だけの物語&amp;#34;}, and display one prominent artwork on the desk and one floating scenic panel using {argument name=&amp;#34;scene theme&amp;#34; default=&amp;#34;sunset sky over a distant city&amp;#34;}.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Category navigation: &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-case-index/&#34; &gt;Index&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ecommerce-cases/&#34; &gt;E-commerce Hero Images&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ad-creative-cases/&#34; &gt;Ad Creative&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-portrait-cases/&#34; &gt;Portrait Photography&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-poster-cases/&#34; &gt;Poster Illustration&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-character-cases/&#34; &gt;Character Design&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-ui-social-cases/&#34; &gt;UI and Social Media&lt;/a&gt; / &lt;a class=&#34;link&#34; href=&#34;https://knightli.com/en/2026/05/02/awesome-gpt-image-2-prompts-comparison-community-cases/&#34; &gt;Comparisons and Community Cases&lt;/a&gt;&lt;/p&gt;
&lt;h2 id=&#34;original-repository-links&#34;&gt;Original Repository Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Project home&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/EvoLinkAI/awesome-gpt-image-2-prompts/blob/main/cases/ui.md&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Original category file&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>faster-whisper: A Faster Whisper Transcription Engine</title>
        <link>https://knightli.com/en/2026/05/01/faster-whisper-speech-to-text/</link>
        <pubDate>Fri, 01 May 2026 22:31:26 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/01/faster-whisper-speech-to-text/</guid>
        <description>&lt;p&gt;&lt;code&gt;faster-whisper&lt;/code&gt; is a Whisper inference implementation maintained by SYSTRAN. It uses CTranslate2 as the backend, keeping the workflow close to Whisper while making inference speed, memory use, and deployment flexibility more suitable for engineering work.&lt;/p&gt;
&lt;p&gt;If you have used &lt;code&gt;openai/whisper&lt;/code&gt;, you can think of &lt;code&gt;faster-whisper&lt;/code&gt; as a more production-oriented alternative. The interface still centers on loading a model, transcribing audio, and reading segmented results, but the execution layer is faster and easier to tune around CPU, GPU, quantization, and batching.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-does-it-solve&#34;&gt;What problem does it solve?
&lt;/h2&gt;&lt;p&gt;Whisper works well, but the original implementation often runs into a few issues when deployed directly:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Long audio can take a noticeable amount of time to transcribe.&lt;/li&gt;
&lt;li&gt;GPU memory usage can be high.&lt;/li&gt;
&lt;li&gt;CPU execution works, but speed may not be ideal.&lt;/li&gt;
&lt;li&gt;Throughput is not always easy to scale when processing large batches of audio or video.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;&lt;code&gt;faster-whisper&lt;/code&gt; mainly optimizes around these problems. Its README states that, with the same accuracy, it can be up to 4 times faster than &lt;code&gt;openai/whisper&lt;/code&gt; while using less memory. With 8-bit quantization, speed can improve further.&lt;/p&gt;
&lt;h2 id=&#34;installation&#34;&gt;Installation
&lt;/h2&gt;&lt;p&gt;In a regular Python environment, install it directly:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;pip install faster-whisper
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you want to use a GPU, make sure your local CUDA, cuDNN, and CTranslate2 versions are compatible. This is the easiest place to stumble: the code itself may be fine, but inference can fail when loading the model or running the first request if the GPU driver and CUDA runtime do not match.&lt;/p&gt;
&lt;h2 id=&#34;basic-usage&#34;&gt;Basic usage
&lt;/h2&gt;&lt;p&gt;The minimal example is straightforward:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;faster_whisper&lt;/span&gt; &lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;model_size&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;large-v3&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;model_size&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;device&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;cuda&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;compute_type&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;float16&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;info&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;transcribe&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;audio.mp3&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;beam_size&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;mi&#34;&gt;5&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;Detected language &amp;#39;&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%s&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#39; with probability &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;%&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;info&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;language&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;info&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;language_probability&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;))&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;for&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt; &lt;span class=&#34;ow&#34;&gt;in&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;[&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%.2f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;s -&amp;gt; &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%.2f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;s] &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%s&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;%&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;start&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;end&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;text&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;))&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The key parameters are:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Parameter&lt;/th&gt;
          &lt;th&gt;Purpose&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;model_size&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Selects the Whisper model size, such as &lt;code&gt;small&lt;/code&gt;, &lt;code&gt;medium&lt;/code&gt;, or &lt;code&gt;large-v3&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;device&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Inference device, commonly &lt;code&gt;cuda&lt;/code&gt; or &lt;code&gt;cpu&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;compute_type&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Compute precision, such as &lt;code&gt;float16&lt;/code&gt;, &lt;code&gt;int8_float16&lt;/code&gt;, or &lt;code&gt;int8&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;beam_size&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Decoding search width; larger values are usually more stable but slower&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;If your goal is quick local transcription, start by testing &lt;code&gt;medium&lt;/code&gt; or &lt;code&gt;large-v3&lt;/code&gt;. If GPU memory is tight, then consider quantization.&lt;/p&gt;
&lt;h2 id=&#34;choosing-cpu-or-gpu&#34;&gt;Choosing CPU or GPU
&lt;/h2&gt;&lt;p&gt;With an NVIDIA GPU, prefer:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;large-v3&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;device&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;cuda&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;compute_type&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;float16&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If GPU memory is not enough, switch to:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;large-v3&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;device&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;cuda&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;compute_type&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;int8_float16&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Without a GPU, run it on CPU:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;small&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;device&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;cpu&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;compute_type&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;int8&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;CPU mode is better for lightweight jobs, low-frequency background tasks, or servers without a graphics card. For a large amount of long audio, GPU is still the better fit.&lt;/p&gt;
&lt;h2 id=&#34;batched-transcription&#34;&gt;Batched transcription
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;faster-whisper&lt;/code&gt; also provides batched transcription. Batching is useful for many short audio files or when you need higher GPU throughput:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;kn&#34;&gt;from&lt;/span&gt; &lt;span class=&#34;nn&#34;&gt;faster_whisper&lt;/span&gt; &lt;span class=&#34;kn&#34;&gt;import&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;BatchedInferencePipeline&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;WhisperModel&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;turbo&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;device&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;cuda&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;compute_type&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;float16&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;batched_model&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;BatchedInferencePipeline&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;info&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;batched_model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;transcribe&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;audio.mp3&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;batch_size&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;mi&#34;&gt;16&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;for&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt; &lt;span class=&#34;ow&#34;&gt;in&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;[&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%.2f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;s -&amp;gt; &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%.2f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;s] &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%s&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;%&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;start&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;end&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;text&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;))&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;&lt;code&gt;batch_size&lt;/code&gt; is not always better when larger. It improves throughput, but also increases GPU memory pressure. In practice, test values like 4, 8, and 16 step by step until you find a stable point for your machine.&lt;/p&gt;
&lt;h2 id=&#34;vad-and-word-level-timestamps&#34;&gt;VAD and word-level timestamps
&lt;/h2&gt;&lt;p&gt;Speech-to-text often has to deal with long silence, background noise, and subtitle alignment. &lt;code&gt;faster-whisper&lt;/code&gt; includes practical parameters that can be enabled directly during transcription.&lt;/p&gt;
&lt;p&gt;Enable VAD:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;info&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;transcribe&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;audio.mp3&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;vad_filter&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;kc&#34;&gt;True&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Get word-level timestamps:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-python&#34; data-lang=&#34;python&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;info&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;=&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;model&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;transcribe&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;audio.mp3&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;word_timestamps&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;&lt;span class=&#34;kc&#34;&gt;True&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;)&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;for&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt; &lt;span class=&#34;ow&#34;&gt;in&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segments&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;k&#34;&gt;for&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;word&lt;/span&gt; &lt;span class=&#34;ow&#34;&gt;in&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;segment&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;words&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;nb&#34;&gt;print&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;[&lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%.2f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;s -&amp;gt; &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%.2f&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;s] &lt;/span&gt;&lt;span class=&#34;si&#34;&gt;%s&lt;/span&gt;&lt;span class=&#34;s2&#34;&gt;&amp;#34;&lt;/span&gt; &lt;span class=&#34;o&#34;&gt;%&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;(&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;word&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;start&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;word&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;end&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt; &lt;span class=&#34;n&#34;&gt;word&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;.&lt;/span&gt;&lt;span class=&#34;n&#34;&gt;word&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;))&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;VAD is useful for meeting recordings, podcasts, and livestream replays that contain long silent sections. Word-level timestamps are useful for subtitles, transcript proofreading, and player-side word highlighting.&lt;/p&gt;
&lt;h2 id=&#34;choosing-a-model&#34;&gt;Choosing a model
&lt;/h2&gt;&lt;p&gt;Model choice mainly depends on accuracy, speed, and machine resources.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Scenario&lt;/th&gt;
          &lt;th&gt;Recommendation&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Quick testing&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;small&lt;/code&gt; or &lt;code&gt;medium&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Chinese content with quality as the priority&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;large-v3&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Tight GPU memory&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;int8_float16&lt;/code&gt; or a smaller model&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;CPU background tasks&lt;/td&gt;
          &lt;td&gt;Smaller model plus &lt;code&gt;int8&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Many short audio files&lt;/td&gt;
          &lt;td&gt;Try &lt;code&gt;BatchedInferencePipeline&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;For Chinese speech, start with &lt;code&gt;large-v3&lt;/code&gt; if quality matters. If the machine is under too much pressure, then lower the model size or use quantization. Do not look only at speed at the beginning; if transcription quality drops, the extra manual proofreading time may cancel out the inference time you saved.&lt;/p&gt;
&lt;h2 id=&#34;suitable-use-cases&#34;&gt;Suitable use cases
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;faster-whisper&lt;/code&gt; is well suited for:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Generating video subtitles.&lt;/li&gt;
&lt;li&gt;Transcribing podcasts, meetings, and course recordings.&lt;/li&gt;
&lt;li&gt;Building local transcription workflows for Bilibili, YouTube, and similar videos.&lt;/li&gt;
&lt;li&gt;Batch archiving and searching audio content.&lt;/li&gt;
&lt;li&gt;Feeding speech content into RAG, knowledge bases, or search systems.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;It does not directly solve higher-level tasks such as speaker diarization, summarization, or chapter segmentation, but it can serve as a stable transcription layer. You can add pyannote for speaker diarization and an LLM for summarization and structured cleanup.&lt;/p&gt;
&lt;h2 id=&#34;deployment-suggestions&#34;&gt;Deployment suggestions
&lt;/h2&gt;&lt;p&gt;For real use, debug in this order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Use a 1-to-3-minute audio clip to confirm the environment runs correctly.&lt;/li&gt;
&lt;li&gt;Test accuracy with samples that match your target language and audio quality.&lt;/li&gt;
&lt;li&gt;Check GPU memory usage before deciding whether to enable quantization.&lt;/li&gt;
&lt;li&gt;Split long audio first, so a failed task does not require rerunning everything.&lt;/li&gt;
&lt;li&gt;Save both TXT and SRT outputs to make later proofreading easier.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;For server-side tasks, load the model during service startup instead of reloading it for every request. Model loading takes time, and frequent reloading can also make GPU memory management less stable.&lt;/p&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;The value of &lt;code&gt;faster-whisper&lt;/code&gt; is that it turns Whisper into a transcription component better suited for long-term use. It is not a different model; it is a more efficient inference backend and engineering interface.&lt;/p&gt;
&lt;p&gt;For personal workflows, it can quickly turn videos, meetings, and course audio into text. For server-side tasks, you can tune performance with GPU execution, quantization, batching, and VAD. As long as the machine environment is configured correctly, it is better suited than the original Whisper implementation for stable, batch speech-to-text work.&lt;/p&gt;
&lt;p&gt;Project: &lt;a class=&#34;link&#34; href=&#34;https://github.com/SYSTRAN/faster-whisper&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://github.com/SYSTRAN/faster-whisper&lt;/a&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>How to Use DeepSeek V4 Pro in Cline</title>
        <link>https://knightli.com/en/2026/05/01/use-deepseek-v4-pro-in-cline/</link>
        <pubDate>Fri, 01 May 2026 20:59:06 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/01/use-deepseek-v4-pro-in-cline/</guid>
        <description>&lt;p&gt;Cline already supports the OpenAI Compatible Provider.
DeepSeek API is also compatible with OpenAI SDK-style calls, so connecting &lt;code&gt;deepseek-v4-pro&lt;/code&gt; to Cline is not complicated: choose OpenAI Compatible, then fill in DeepSeek&amp;rsquo;s Base URL, API Key, and model name.&lt;/p&gt;
&lt;p&gt;The steps below cover both the VS Code extension UI and Cline CLI.&lt;/p&gt;
&lt;h2 id=&#34;prepare-a-deepseek-api-key&#34;&gt;Prepare a DeepSeek API Key
&lt;/h2&gt;&lt;p&gt;First, create an API Key on the DeepSeek platform.&lt;/p&gt;
&lt;p&gt;You need three values:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Item&lt;/th&gt;
          &lt;th&gt;Value&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;Provider&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;OpenAI Compatible&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Base URL&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;https://api.deepseek.com&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Model ID&lt;/td&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-pro&lt;/code&gt;&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;DeepSeek&amp;rsquo;s official documentation states that the V4 series uses the existing OpenAI-compatible interface. Keep &lt;code&gt;base_url&lt;/code&gt; as &lt;code&gt;https://api.deepseek.com&lt;/code&gt;, and set &lt;code&gt;model&lt;/code&gt; to &lt;code&gt;deepseek-v4-pro&lt;/code&gt; or &lt;code&gt;deepseek-v4-flash&lt;/code&gt; when calling it.&lt;/p&gt;
&lt;h2 id=&#34;configure-it-in-the-cline-extension&#34;&gt;Configure It in the Cline Extension
&lt;/h2&gt;&lt;p&gt;If you use the Cline extension in VS Code, configure it this way:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open Cline from the VS Code sidebar.&lt;/li&gt;
&lt;li&gt;Go to Cline settings or model configuration.&lt;/li&gt;
&lt;li&gt;Select &lt;code&gt;OpenAI Compatible&lt;/code&gt; as the provider.&lt;/li&gt;
&lt;li&gt;Enter your DeepSeek API Key.&lt;/li&gt;
&lt;li&gt;Set Base URL to:&lt;/li&gt;
&lt;/ol&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;https://api.deepseek.com
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;ol start=&#34;6&#34;&gt;
&lt;li&gt;Set Model ID to:&lt;/li&gt;
&lt;/ol&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek-v4-pro
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;ol start=&#34;7&#34;&gt;
&lt;li&gt;Save the configuration and run a simple test in Cline.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Start with a low-risk read-only task:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Please read the current project directory structure and summarize what type of project this is. Do not modify any files.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If Cline can read and answer normally, the model connection is working.&lt;/p&gt;
&lt;h2 id=&#34;configure-it-in-cline-cli&#34;&gt;Configure It in Cline CLI
&lt;/h2&gt;&lt;p&gt;If you use Cline CLI, run &lt;code&gt;cline provider configure openai-compatible&lt;/code&gt; to enter interactive configuration.&lt;/p&gt;
&lt;p&gt;Example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cline provider configure openai-compatible
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Fill in:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;API Key: sk-...
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Base URL: https://api.deepseek.com
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Model ID: deepseek-v4-pro
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;After configuration, test it with a read-only task:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;cline &lt;span class=&#34;s2&#34;&gt;&amp;#34;Summarize this repository structure without changing files.&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If you want to lower cost first, you can temporarily change Model ID to:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek-v4-flash
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Then switch back to &lt;code&gt;deepseek-v4-pro&lt;/code&gt; for complex planning, fact checking, multi-tool collaboration, or high-risk code changes.&lt;/p&gt;
&lt;h2 id=&#34;recommended-model-split&#34;&gt;Recommended Model Split
&lt;/h2&gt;&lt;p&gt;DeepSeek V4 Pro and Flash are better used with a clear split.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th&gt;Best for&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-flash&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Routine code reading, small batch fixes, script generation, context summarization, low-risk frontend changes&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-pro&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Architecture planning, complex bugs, cross-file refactors, fact checking, multi-tool calls, high-risk changes&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;For Agent tools like Cline, cost mainly comes from long context, repeated file reads, plan generation, and multi-round tool calls.
If the task is light, use Flash for volume; if the task needs stronger judgment, switch to Pro.&lt;/p&gt;
&lt;h2 id=&#34;how-to-set-context-length&#34;&gt;How to Set Context Length
&lt;/h2&gt;&lt;p&gt;DeepSeek V4 Pro and Flash both support long context.
If Cline requires a manual context window value, you can understand it according to the 1M context listed on DeepSeek&amp;rsquo;s official model page.&lt;/p&gt;
&lt;p&gt;In practice, do not put every file into context at the beginning.
Cline reads files according to the task, and a better workflow is usually:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;first ask it to inspect the directory structure;&lt;/li&gt;
&lt;li&gt;then ask it to locate relevant files;&lt;/li&gt;
&lt;li&gt;finally let it modify only the target files.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This saves tokens and keeps the task boundary clearer.&lt;/p&gt;
&lt;h2 id=&#34;common-issues&#34;&gt;Common Issues
&lt;/h2&gt;&lt;h3 id=&#34;1-model-not-found&#34;&gt;1. Model Not Found
&lt;/h3&gt;&lt;p&gt;First check that Model ID is exactly:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;deepseek-v4-pro
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Do not write &lt;code&gt;DeepSeek V4 Pro&lt;/code&gt;, &lt;code&gt;deepseek-v4&lt;/code&gt;, or another display name.&lt;/p&gt;
&lt;h3 id=&#34;2-401-or-authentication-failed&#34;&gt;2. 401 or Authentication Failed
&lt;/h3&gt;&lt;p&gt;Check the API Key:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;whether it was copied completely;&lt;/li&gt;
&lt;li&gt;whether it contains extra spaces;&lt;/li&gt;
&lt;li&gt;whether it was entered into the provider configuration Cline is currently using;&lt;/li&gt;
&lt;li&gt;whether the DeepSeek account has available balance.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id=&#34;3-connection-failed&#34;&gt;3. Connection Failed
&lt;/h3&gt;&lt;p&gt;Check the Base URL:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;https://api.deepseek.com
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Do not append &lt;code&gt;/v1/chat/completions&lt;/code&gt; at the end.
Cline&amp;rsquo;s OpenAI Compatible Provider will construct compatible interface requests itself.&lt;/p&gt;
&lt;h3 id=&#34;4-cline-calls-are-too-expensive&#34;&gt;4. Cline Calls Are Too Expensive
&lt;/h3&gt;&lt;p&gt;You can switch routine tasks to &lt;code&gt;deepseek-v4-flash&lt;/code&gt; and use &lt;code&gt;deepseek-v4-pro&lt;/code&gt; only for complex tasks.&lt;/p&gt;
&lt;p&gt;Also, make the task description as clear as possible:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Only modify files related to the login page. Do not refactor unrelated modules. First provide a plan, and modify code only after confirmation.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Agent tasks are most expensive when boundaries are unclear.
The clearer the boundary, the fewer files it reads, the fewer tool calls it makes, and the more controllable the cost becomes.&lt;/p&gt;
&lt;h3 id=&#34;5-error-reasoning_content-must-be-passed-back&#34;&gt;5. Error: reasoning_content must be passed back
&lt;/h3&gt;&lt;p&gt;If you see an error like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;message&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;400 The `reasoning_content` in the thinking mode must be passed back to the API.&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;code&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;invalid_request_error&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;modelId&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;deepseek-v4-pro&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;This is usually not a Key, quota, or Base URL problem. It means DeepSeek V4 Pro&amp;rsquo;s thinking mode and the current client&amp;rsquo;s multi-round tool-call history are not aligned.&lt;/p&gt;
&lt;p&gt;DeepSeek&amp;rsquo;s official documentation states:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;thinking mode is &lt;code&gt;enabled&lt;/code&gt; by default;&lt;/li&gt;
&lt;li&gt;thinking mode returns &lt;code&gt;reasoning_content&lt;/code&gt;;&lt;/li&gt;
&lt;li&gt;if a tool call happens in one round, subsequent requests must pass back the &lt;code&gt;reasoning_content&lt;/code&gt; from that assistant message;&lt;/li&gt;
&lt;li&gt;if the client does not pass it back correctly, the API returns 400.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;When Cline connects through the OpenAI Compatible Provider, this error may appear in the second round or after tool calls if the current version does not fully preserve and return DeepSeek&amp;rsquo;s &lt;code&gt;reasoning_content&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;Try this order:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Upgrade Cline to the latest version;&lt;/li&gt;
&lt;li&gt;confirm you are using &lt;code&gt;OpenAI Compatible&lt;/code&gt;, not the normal &lt;code&gt;OpenAI&lt;/code&gt; provider;&lt;/li&gt;
&lt;li&gt;if Cline supports a custom request body, try disabling thinking mode:&lt;/li&gt;
&lt;/ol&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;nt&#34;&gt;&amp;#34;thinking&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nt&#34;&gt;&amp;#34;type&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;disabled&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;ol start=&#34;4&#34;&gt;
&lt;li&gt;if Cline does not support extra body parameters, temporarily use another model or a compatible proxy service;&lt;/li&gt;
&lt;li&gt;switch back to &lt;code&gt;deepseek-v4-pro&lt;/code&gt; after Cline supports passing back DeepSeek V4 &lt;code&gt;reasoning_content&lt;/code&gt;.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Note that disabling thinking mode may reduce complex reasoning ability, but it can work around client compatibility issues where &lt;code&gt;reasoning_content&lt;/code&gt; is not passed back.&lt;/p&gt;
&lt;h2 id=&#34;copyable-configuration&#34;&gt;Copyable Configuration
&lt;/h2&gt;&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Provider: OpenAI Compatible
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;API Key: sk-your DeepSeek API Key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Base URL: https://api.deepseek.com
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Model ID: deepseek-v4-pro
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;For low-cost mode:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-text&#34; data-lang=&#34;text&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Provider: OpenAI Compatible
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;API Key: sk-your DeepSeek API Key
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Base URL: https://api.deepseek.com
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Model ID: deepseek-v4-flash
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;There are only three key steps to calling DeepSeek V4 Pro in Cline:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;choose &lt;code&gt;OpenAI Compatible&lt;/code&gt; as the provider;&lt;/li&gt;
&lt;li&gt;set Base URL to &lt;code&gt;https://api.deepseek.com&lt;/code&gt;;&lt;/li&gt;
&lt;li&gt;set Model ID to &lt;code&gt;deepseek-v4-pro&lt;/code&gt;.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;After configuration, test with a read-only task before giving it real code changes.
If you often run Agent tasks, split Flash and Pro: Flash handles high-frequency lightweight work, while Pro handles complex judgment and fallback tasks.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://docs.cline.bot/provider-config/openai-compatible&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Cline Docs: OpenAI Compatible Provider&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://docs.cline.bot/provider-config/overview&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Cline Docs: Provider Configuration&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://api-docs.deepseek.com/news/news202605&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek API Docs: News&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://api-docs.deepseek.com/quick_start/pricing/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek API Docs: Models &amp;amp; Pricing&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>How DeepSeek V4 Price Cuts Rewrite the Cost Model for AI Agents</title>
        <link>https://knightli.com/en/2026/05/01/deepseek-v4-price-cuts-ai-agent-economics/</link>
        <pubDate>Fri, 01 May 2026 19:47:47 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/01/deepseek-v4-price-cuts-ai-agent-economics/</guid>
        <description>&lt;p&gt;DeepSeek V4 did not arrive with an especially loud launch.
There was no major event, nor a benchmark story that instantly crushed every competitor.
But a few days later, the part that truly affects the industry became visible: repeated price cuts.&lt;/p&gt;
&lt;p&gt;The point of this change is not that &amp;ldquo;the model got a little stronger&amp;rdquo;, but that &amp;ldquo;usage cost has been pushed into another tier&amp;rdquo;.
When token prices become low enough that an ordinary Agent task can finish for a few cents or a couple of yuan, the business logic behind many Coding Plans and Token Plans needs to be reconsidered.&lt;/p&gt;
&lt;h2 id=&#34;launch-day-was-not-explosive&#34;&gt;Launch Day Was Not Explosive
&lt;/h2&gt;&lt;p&gt;The first wave of feedback to DeepSeek V4 was not especially heated.
Many people expected it to deliver the kind of shock R1 did: across-the-board benchmark leadership, validation of domestic compute, and simultaneous breakthroughs in multimodal and Agent capabilities.
After the actual release, however, it looked more like a steady upgrade.&lt;/p&gt;
&lt;p&gt;V4 Pro is indeed a strong model, especially in coding, math, long context, and agentic coding.
But it is not the kind of product that instantly makes every peer model look outdated.
So on launch day, the discussion felt a little awkward: people wanted to praise it, but it was hard to find a sufficiently explosive angle.&lt;/p&gt;
&lt;p&gt;The real turning point was not launch day, but the price adjustments that followed.&lt;/p&gt;
&lt;h2 id=&#34;successive-price-cuts-are-the-key&#34;&gt;Successive Price Cuts Are the Key
&lt;/h2&gt;&lt;p&gt;After DeepSeek V4 was released, prices started to move downward.
According to DeepSeek&amp;rsquo;s official pricing page and the information summarized in the source article, the rough prices at that time were:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;DeepSeek V4 Flash: about 1 yuan per 1 million input tokens; about 0.02 yuan per 1 million tokens after a cache hit;&lt;/li&gt;
&lt;li&gt;DeepSeek V4 Pro: about 3 yuan per 1 million input tokens; about 0.025 yuan per 1 million tokens after a cache hit;&lt;/li&gt;
&lt;li&gt;the cache-hit input price across the model family dropped to one tenth of the launch price;&lt;/li&gt;
&lt;li&gt;V4 Pro was once in a 75% discount period, extended until May 31, 2026 at 23:59.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The API prices in US dollars make the difference easier to see:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Cached input&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Non-cached input&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Output&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Context&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-flash&lt;/code&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.0028 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.14 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.28 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;1M&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-pro&lt;/code&gt; promotional price&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.003625 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.435 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.87 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;1M&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-pro&lt;/code&gt; regular price&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.0145 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$1.74 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$3.48 / 1M tokens&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;1M&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;Two details matter here.&lt;/p&gt;
&lt;p&gt;First, V4 Pro&amp;rsquo;s $0.435 / $0.87 is a promotional price, not the long-term regular price.
In DeepSeek&amp;rsquo;s official notes, this 75% discount was extended until May 31, 2026 at 15:59 UTC.&lt;/p&gt;
&lt;p&gt;Second, cache-hit pricing is the key variable in the Agent cost model.
Flash&amp;rsquo;s cached input price is as low as $0.0028 / 1M tokens, while Pro&amp;rsquo;s promotional cached input price is $0.003625 / 1M tokens.
That means repeated project context, tool definitions, system prompts, and historical summaries no longer need to be charged at the full input price.&lt;/p&gt;
&lt;p&gt;The most important thing about this pricing is that it makes the token cost of many tasks &amp;ldquo;insensitive&amp;rdquo;.
In the past, developers worried that one Agent task would consume a large amount of context, repeatedly read and write code, and call tools frequently.
Now, as long as the cache hit rate is high enough, the cost can be pushed very low.&lt;/p&gt;
&lt;h2 id=&#34;price-comparison-with-gpt-and-claude&#34;&gt;Price Comparison With GPT and Claude
&lt;/h2&gt;&lt;p&gt;DeepSeek&amp;rsquo;s own prices alone do not fully convey the gap.
The contrast becomes much clearer when placed next to common closed-source models from the same period.&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Input&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Cached input&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Output&lt;/th&gt;
          &lt;th&gt;Best fit&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-flash&lt;/code&gt;&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.14 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.0028 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.28 / M&lt;/td&gt;
          &lt;td&gt;High-frequency Agents, routine coding, batch tasks&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-pro&lt;/code&gt; promotional price&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.435 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.003625 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.87 / M&lt;/td&gt;
          &lt;td&gt;Complex coding, planning, fact checking&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;deepseek-v4-pro&lt;/code&gt; regular price&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$1.74 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.0145 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$3.48 / M&lt;/td&gt;
          &lt;td&gt;Pro cost baseline after the promotion&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$5 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.50 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$30 / M&lt;/td&gt;
          &lt;td&gt;High-quality complex tasks, general reasoning&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.4&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$2.50 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.25 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$15 / M&lt;/td&gt;
          &lt;td&gt;Mid-range choice for programming and professional tasks&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.4 mini&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.75 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.075 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$4.50 / M&lt;/td&gt;
          &lt;td&gt;Lower-cost general and subtask model&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Opus 4.7&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$5 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.50 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$25 / M&lt;/td&gt;
          &lt;td&gt;High-quality writing, complex reasoning, long tasks&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Sonnet 4.6&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$3 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.30 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$15 / M&lt;/td&gt;
          &lt;td&gt;Programming, Agents, general work&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Haiku 4.5&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$1 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$0.10 / M&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;$5 / M&lt;/td&gt;
          &lt;td&gt;Lightweight tasks, summarization, classification&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;The most striking number in this table is output price.
Agents do not only read context; they also keep generating plans, patches, explanations, logs, and next actions.
If there is a lot of output, DeepSeek V4 Pro&amp;rsquo;s promotional $0.87 / M becomes dramatically cheaper than GPT-5.5&amp;rsquo;s $30 / M or Claude Sonnet 4.6&amp;rsquo;s $15 / M.&lt;/p&gt;
&lt;p&gt;Even at V4 Pro&amp;rsquo;s regular output price of $3.48 / M, it is still clearly below GPT-5.4, GPT-5.5, and Claude Sonnet / Opus.
If the task can be handled by Flash, the output price drops further to $0.28 / M.&lt;/p&gt;
&lt;p&gt;The cached input gap is even more extreme.
DeepSeek V4 Flash&amp;rsquo;s cached input price is $0.0028 / M, while GPT-5.5 and Claude Opus 4.7 are both $0.50 / M.
These are not in the same order of magnitude.
For Agents that repeatedly read the same code repository, this gap matters more than it does in ordinary chat.&lt;/p&gt;
&lt;h2 id=&#34;why-agent-tasks-are-especially-affected&#34;&gt;Why Agent Tasks Are Especially Affected
&lt;/h2&gt;&lt;p&gt;AI Agents are different from ordinary chat.
Ordinary chat is usually a question-and-answer flow with relatively limited input context.
Agent tasks repeatedly read project files, generate plans, call tools, inspect results, and then modify code again.&lt;/p&gt;
&lt;p&gt;These tasks have two traits:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;large token consumption;&lt;/li&gt;
&lt;li&gt;lots of repeated context.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The second point is crucial.
In a code project, the model repeatedly reads the same files, directory structure, error logs, and modification results.
If the platform supports cache hits, the cost of repeated input drops sharply.&lt;/p&gt;
&lt;p&gt;The source article mentioned a real experience: connecting DeepSeek V4 Pro and Flash to a Claude Code-like tool, asking it to pull a prompt repository and turn it into a local search site.
The task was completed, with a total cost of roughly a little over 0.8 yuan, and Pro reached a cache hit rate of 98.7%.&lt;/p&gt;
&lt;p&gt;This example illustrates a practical issue: the more an Agent task resembles &amp;ldquo;repeated work around the same project&amp;rdquo;, the more valuable cache hits become.
If generating a website, fixing a bug, or changing a frontend costs only a few cents to a few yuan, subscription plans become less attractive.&lt;/p&gt;
&lt;p&gt;We can estimate the gap with a simplified task.
Assume one coding agent task includes:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;500,000 input tokens, of which 80% can hit cache;&lt;/li&gt;
&lt;li&gt;50,000 output tokens;&lt;/li&gt;
&lt;li&gt;no tool calls, search costs, or platform markup included, only model token cost.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The rough costs are:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Model&lt;/th&gt;
          &lt;th style=&#34;text-align: right&#34;&gt;Estimated cost&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;DeepSeek V4 Flash&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $0.03&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;DeepSeek V4 Pro promotional price&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $0.09&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;DeepSeek V4 Pro regular price&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $0.36&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.4 mini&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $0.30&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.4&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $1.01&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;GPT-5.5&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $1.75&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Sonnet 4.6&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $1.11&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;Claude Opus 4.7&lt;/td&gt;
          &lt;td style=&#34;text-align: right&#34;&gt;about $1.65&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;p&gt;This estimate does not mean DeepSeek is better for every task.
Model quality, tool-call stability, long-context retrieval ability, coding style, and factual reliability all need separate evaluation.
But from a cost perspective, DeepSeek V4 pushes the marginal cost of &amp;ldquo;letting the Agent run a few more rounds&amp;rdquo; very low.
That will encourage developers to design longer workflows, more frequent self-checks, and more candidate solutions instead of worrying about the token bill every time.&lt;/p&gt;
&lt;h2 id=&#34;the-difference-between-coding-plans-and-token-plans&#34;&gt;The Difference Between Coding Plans and Token Plans
&lt;/h2&gt;&lt;p&gt;Many AI products now offer two types of plans: Coding Plans and Token Plans.&lt;/p&gt;
&lt;p&gt;The rough difference is:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Coding Plans are usually mainly for programming;&lt;/li&gt;
&lt;li&gt;Token Plans usually cover more capabilities, such as STT, TTS, image generation, search, embedding, and RAG;&lt;/li&gt;
&lt;li&gt;STT means speech to text;&lt;/li&gt;
&lt;li&gt;TTS means text to speech;&lt;/li&gt;
&lt;li&gt;Coding Plans often restrict users to programming scenarios, while other capabilities still require separate purchases.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;From a business perspective, a Coding Plan is more like a buffet.
Users pay a fixed fee in advance, while the vendor bets that most people will not use up the quota.
Some users consume more, others consume less, and the platform can still make money on average.&lt;/p&gt;
&lt;p&gt;But if pay-as-you-go token prices are low enough, users start calculating: why do I have to buy a plan?
If the real monthly usage cost is only a few yuan or a dozen yuan, a 40-yuan or 200-yuan plan may no longer be worthwhile.&lt;/p&gt;
&lt;h2 id=&#34;why-price-cuts-challenge-the-subscription-model&#34;&gt;Why Price Cuts Challenge the Subscription Model
&lt;/h2&gt;&lt;p&gt;Subscription plans rely on one premise: users feel that each individual use is expensive, or they do not want to calculate the cost of every call.
When token prices are high, a plan feels reassuring.
When token prices are almost negligible, pay-as-you-go becomes more natural.&lt;/p&gt;
&lt;p&gt;DeepSeek V4&amp;rsquo;s price cut effectively reveals the underlying cost:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Agent tasks can be very cheap;&lt;/li&gt;
&lt;li&gt;long context is not necessarily too expensive to use;&lt;/li&gt;
&lt;li&gt;cache hits can reduce cost significantly;&lt;/li&gt;
&lt;li&gt;ordinary developers do not necessarily need a fixed subscription;&lt;/li&gt;
&lt;li&gt;the model entry point can shift from a &amp;ldquo;plan platform&amp;rdquo; to a &amp;ldquo;low-cost API&amp;rdquo;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This will make platforms built around Coding Plans uncomfortable.
If users find pay-as-you-go calls cheaper and freer, they have less reason to be locked into one platform&amp;rsquo;s subscription.&lt;/p&gt;
&lt;h2 id=&#34;how-to-choose-between-flash-and-pro&#34;&gt;How to Choose Between Flash and Pro
&lt;/h2&gt;&lt;p&gt;A practical way to use DeepSeek V4 is to split work between Flash and Pro.&lt;/p&gt;
&lt;p&gt;Flash is suitable for high-frequency, lightweight, repeatable tasks:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;fixing bugs;&lt;/li&gt;
&lt;li&gt;writing frontend code;&lt;/li&gt;
&lt;li&gt;writing scripts;&lt;/li&gt;
&lt;li&gt;routine code understanding;&lt;/li&gt;
&lt;li&gt;processing ordinary information in long context;&lt;/li&gt;
&lt;li&gt;running large numbers of subtasks.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Flash is cheap, fast, and also supports very long context.
For everyday coding agents, many tasks do not need Pro from the start.&lt;/p&gt;
&lt;p&gt;Pro is better for complex judgment and fallback work:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;multi-round planning;&lt;/li&gt;
&lt;li&gt;complex Agent workflows;&lt;/li&gt;
&lt;li&gt;multiple function calls;&lt;/li&gt;
&lt;li&gt;fact checking;&lt;/li&gt;
&lt;li&gt;financial research;&lt;/li&gt;
&lt;li&gt;content production that requires stronger knowledge and judgment;&lt;/li&gt;
&lt;li&gt;high-risk code changes.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A reasonable setup is: Flash handles volume, Pro handles fallback.
Start ordinary tasks with Flash, then switch to Pro for long-horizon planning, complex judgment, fact checking, or multi-tool collaboration.
This keeps cost under control while preserving model quality.&lt;/p&gt;
&lt;h2 id=&#34;why-deepseek-can-price-this-way&#34;&gt;Why DeepSeek Can Price This Way
&lt;/h2&gt;&lt;p&gt;DeepSeek has a different business structure from many large platforms.
It does not have e-commerce, social networking, short video, cloud computing, phones, cars, office suites, operating systems, browsers, or a large enterprise SaaS ecosystem.&lt;/p&gt;
&lt;p&gt;That means it does not need to lock users into a complete platform.
It can simply sell text model capability: use cheap text models here, and call any other capability elsewhere.&lt;/p&gt;
&lt;p&gt;Large platforms usually think differently.
If you buy their Coding Plan or Token Plan, you are pulled into their cloud, search, image generation, voice, database, and developer-tool ecosystem.
The plan is not merely selling the model; it is competing for the user entry point.&lt;/p&gt;
&lt;p&gt;DeepSeek&amp;rsquo;s approach is more direct: push text model prices down and try to become the default model entry point for Agents.
Once the default entry point is occupied, many developers and toolchains will naturally adapt around it.&lt;/p&gt;
&lt;h2 id=&#34;open-models-and-the-default-entry-point&#34;&gt;Open Models and the Default Entry Point
&lt;/h2&gt;&lt;p&gt;If DeepSeek V4 keeps an open model route, third-party cloud vendors and platforms may deploy it themselves and provide services.
For DeepSeek, that is both distribution and potential diversion.&lt;/p&gt;
&lt;p&gt;This is where a low-price official API matters.
If the official price is already low enough, other platforms will struggle to offer an obvious price advantage even if they can deploy the model.
Users will tend to use the default, cheap, stable entry point directly.&lt;/p&gt;
&lt;p&gt;This is especially true for Agent tools.
Agent tasks depend on long context, caching, tool calls, and stable throughput.
Once a model is cheap enough in these scenarios, it has a chance to become the default option.&lt;/p&gt;
&lt;h2 id=&#34;coding-plans-are-still-not-useless&#34;&gt;Coding Plans Are Still Not Useless
&lt;/h2&gt;&lt;p&gt;This does not mean Coding Plans will disappear immediately.
They still fit some users.&lt;/p&gt;
&lt;p&gt;If some users are truly heavy users who max out their quota every day, a fixed subscription may still be economical.
Just like a buffet, if nobody could ever eat enough to get their money&amp;rsquo;s worth, users would not buy it.&lt;/p&gt;
&lt;p&gt;The problem is that most users are not that kind of extremely high-frequency user.
Low-frequency users, lightweight developers, and people who occasionally write scripts or modify projects are better suited to pay-as-you-go.
After DeepSeek lowers pay-as-you-go costs, the appeal of plans weakens.&lt;/p&gt;
&lt;p&gt;The future is more likely to become a layered choice:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;heavy high-frequency users keep buying Coding Plans;&lt;/li&gt;
&lt;li&gt;ordinary users move to low-cost APIs;&lt;/li&gt;
&lt;li&gt;Agent tools automatically choose Flash / Pro according to the task;&lt;/li&gt;
&lt;li&gt;platform plans need to provide more non-model value, such as workflows, IDE integration, deployment, team management, and security auditing.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;summary&#34;&gt;Summary
&lt;/h2&gt;&lt;p&gt;DeepSeek V4 did not create its biggest impact through benchmarks.
What truly changed industry expectations was the price reduction that followed.&lt;/p&gt;
&lt;p&gt;When input tokens and cache-hit pricing are pushed very low, the cost of using AI Agents changes.
Long context, code-project analysis, and multi-round tool calls that used to look expensive may now become everyday costs of a few cents to a few yuan.&lt;/p&gt;
&lt;p&gt;This directly challenges the business logic of Coding Plans and Token Plans.
If users can pay by usage, freely combine models and tools, and keep costs low enough, they may not want to be tied to a specific platform plan.&lt;/p&gt;
&lt;p&gt;What DeepSeek V4 truly touches this time is not only the ranking of model capability, but the cost structure of AI Agents and the battle for the default entry point.&lt;/p&gt;
&lt;p&gt;References:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://api-docs.deepseek.com/quick_start/pricing/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek API Docs: Models &amp;amp; Pricing&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://openai.com/api/pricing/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;OpenAI API Pricing&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://platform.claude.com/docs/en/about-claude/pricing&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Anthropic Claude API Pricing&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>Prompt Optimizer: An Open-Source Tool for Prompt Optimization, Testing, and MCP</title>
        <link>https://knightli.com/en/2026/05/01/prompt-optimizer-prompt-engineering-tool/</link>
        <pubDate>Fri, 01 May 2026 03:09:07 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/05/01/prompt-optimizer-prompt-engineering-tool/</guid>
        <description>&lt;p&gt;&lt;code&gt;Prompt Optimizer&lt;/code&gt; is an open-source tool for improving prompts. Its goal is straightforward: help you turn a rough prompt into something clearer, more stable, and easier for large language models to follow.&lt;/p&gt;
&lt;p&gt;It is not just a page that “polishes my prompt.” The project provides prompt optimization, result testing, comparison and evaluation, multi-model access, image prompt handling, and MCP integration. For people who often write system prompts, user prompts, and AI workflow templates, it feels more like a dedicated prompt workbench.&lt;/p&gt;
&lt;h2 id=&#34;what-problem-it-solves&#34;&gt;What Problem It Solves
&lt;/h2&gt;&lt;p&gt;Many people run into similar problems when using AI:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Prompts keep getting longer, but output quality does not clearly improve&lt;/li&gt;
&lt;li&gt;The same task behaves differently after switching models&lt;/li&gt;
&lt;li&gt;System prompts and user prompts are mixed together and hard to debug&lt;/li&gt;
&lt;li&gt;After changing a prompt, it is unclear whether the new version is better&lt;/li&gt;
&lt;li&gt;Variable templates are useful, but manual replacement and testing are tedious&lt;/li&gt;
&lt;li&gt;Prompt optimization should be available to other AI tools, but there is no standard interface&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;code&gt;Prompt Optimizer&lt;/code&gt; is designed around these problems. It breaks “writing a prompt” into optimization, testing, evaluation, comparison, and iteration, so prompt tuning is no longer based only on intuition.&lt;/p&gt;
&lt;h2 id=&#34;main-features&#34;&gt;Main Features
&lt;/h2&gt;&lt;h3 id=&#34;1-optimize-system-prompts-and-user-prompts&#34;&gt;1. Optimize System Prompts and User Prompts
&lt;/h3&gt;&lt;p&gt;There is more than one kind of prompt.&lt;/p&gt;
&lt;p&gt;System prompts usually define roles, goals, boundaries, output rules, and working methods. User prompts are closer to the input for one specific task. When the two are mixed together, the model can miss the key point, and reuse becomes harder.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Prompt Optimizer&lt;/code&gt; supports both system prompt optimization and user prompt optimization. You can improve long-term reusable role definitions separately from the input for a specific task.&lt;/p&gt;
&lt;p&gt;This is useful for:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Writing rules for AI coding assistants&lt;/li&gt;
&lt;li&gt;Designing customer service, reviewer, translation, and analysis roles&lt;/li&gt;
&lt;li&gt;Optimizing text-to-image prompts&lt;/li&gt;
&lt;li&gt;Turning temporary requirements into reusable templates&lt;/li&gt;
&lt;li&gt;Preparing different prompt styles for different models&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id=&#34;2-test-and-compare-outputs&#34;&gt;2. Test and Compare Outputs
&lt;/h3&gt;&lt;p&gt;Optimizing a prompt is not enough. The important question is whether the optimized prompt actually performs better.&lt;/p&gt;
&lt;p&gt;The project supports analysis, single-result evaluation, and multi-result comparison. You can run the original prompt and the optimized prompt on the same task, then compare whether the output is more accurate, stable, and aligned with the goal.&lt;/p&gt;
&lt;p&gt;This is more practical than prompts that only “look more professional.” Many prompts look complete on the surface but produce verbose, rigid, or even misdirected output. Comparison testing helps reveal that early.&lt;/p&gt;
&lt;h3 id=&#34;3-multi-model-support&#34;&gt;3. Multi-Model Support
&lt;/h3&gt;&lt;p&gt;The README says the project supports model services such as OpenAI, Gemini, DeepSeek, Zhipu AI, and SiliconFlow, as well as custom OpenAI-compatible APIs.&lt;/p&gt;
&lt;p&gt;This matters because prompt performance depends heavily on the model. The same prompt can behave very differently across models. Multi-model testing helps determine:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether the prompt itself is weak&lt;/li&gt;
&lt;li&gt;Whether a specific model is unsuitable for the task&lt;/li&gt;
&lt;li&gt;Whether different model-specific prompt versions are needed&lt;/li&gt;
&lt;li&gt;Whether a smaller model can become usable with a clearer prompt&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you use Ollama locally, or your company has an OpenAI-compatible internal model service, it can also be connected through a custom API.&lt;/p&gt;
&lt;h3 id=&#34;4-advanced-testing-mode&#34;&gt;4. Advanced Testing Mode
&lt;/h3&gt;&lt;p&gt;The project provides context variable management, multi-turn conversation testing, and Function Calling support.&lt;/p&gt;
&lt;p&gt;Variable management is useful for templated tasks. For example, if you have prompts for second-hand sales replies, product descriptions, email responses, code reviews, or document generation, you can replace variables such as product, price, tone, and target user to test different inputs quickly.&lt;/p&gt;
&lt;p&gt;Multi-turn conversation testing helps validate long-running dialogue behavior. Many prompts look fine in a single turn, but once follow-up questions begin, they may forget constraints, drift away from the role, or repeat explanations. Multi-turn testing is closer to real usage.&lt;/p&gt;
&lt;p&gt;Function Calling support is suitable for more engineering-oriented AI applications. It helps validate model behavior around tool calls, parameter generation, and structured output.&lt;/p&gt;
&lt;h3 id=&#34;5-image-generation-prompts&#34;&gt;5. Image Generation Prompts
&lt;/h3&gt;&lt;p&gt;&lt;code&gt;Prompt Optimizer&lt;/code&gt; also supports text-to-image and image-to-image workflows. The README mentions integration with image models such as Gemini and Seedream.&lt;/p&gt;
&lt;p&gt;Image prompt optimization is different from text tasks. It focuses more on subject, composition, spatial relationship, style, material, lighting, mood, and constraints. Turning a vague idea into a controllable visual description is often more valuable than simply making the prompt longer.&lt;/p&gt;
&lt;p&gt;If you often generate product images, covers, illustrations, key visuals, or style references, this type of optimization is useful.&lt;/p&gt;
&lt;h2 id=&#34;ways-to-use-it&#34;&gt;Ways to Use It
&lt;/h2&gt;&lt;p&gt;The project provides several entry points:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Online version&lt;/li&gt;
&lt;li&gt;Vercel self-hosting&lt;/li&gt;
&lt;li&gt;Desktop app&lt;/li&gt;
&lt;li&gt;Chrome extension&lt;/li&gt;
&lt;li&gt;Docker deployment&lt;/li&gt;
&lt;li&gt;Docker Compose deployment&lt;/li&gt;
&lt;li&gt;MCP Server&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The online version is good for quick trials. The project notes that it is a pure frontend app: data is stored locally in the browser and sent directly to AI providers.&lt;/p&gt;
&lt;p&gt;The desktop app is better when you need to connect directly to different model APIs. Browser environments can run into CORS limits; the desktop app avoids those issues, especially when connecting to local Ollama or commercial APIs with strict cross-origin policies.&lt;/p&gt;
&lt;p&gt;Docker deployment is suitable for your own server or intranet environment. The README gives this basic command:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker run -d -p 8081:80 --restart unless-stopped --name prompt-optimizer linshen/prompt-optimizer
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;To configure API keys and access passwords, pass environment variables:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;docker run -d -p 8081:80 &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -e &lt;span class=&#34;nv&#34;&gt;VITE_OPENAI_API_KEY&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_key &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -e &lt;span class=&#34;nv&#34;&gt;ACCESS_USERNAME&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_username &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  -e &lt;span class=&#34;nv&#34;&gt;ACCESS_PASSWORD&lt;/span&gt;&lt;span class=&#34;o&#34;&gt;=&lt;/span&gt;your_password &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  --restart unless-stopped &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  --name prompt-optimizer &lt;span class=&#34;se&#34;&gt;\
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;  linshen/prompt-optimizer
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;If Docker Hub is slow in China, the project also provides an Alibaba Cloud image address in the README.&lt;/p&gt;
&lt;h2 id=&#34;what-mcp-enables&#34;&gt;What MCP Enables
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Prompt Optimizer&lt;/code&gt; supports Model Context Protocol, or MCP.&lt;/p&gt;
&lt;p&gt;When running through Docker, the MCP service can start together with the Web app and be accessed through the &lt;code&gt;/mcp&lt;/code&gt; path. This turns it from a Web tool into something that can be called by MCP-compatible apps such as Claude Desktop.&lt;/p&gt;
&lt;p&gt;The README lists these MCP tools:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;optimize-user-prompt&lt;/code&gt;: optimize user prompts&lt;/li&gt;
&lt;li&gt;&lt;code&gt;optimize-system-prompt&lt;/code&gt;: optimize system prompts&lt;/li&gt;
&lt;li&gt;&lt;code&gt;iterate-prompt&lt;/code&gt;: perform targeted iteration on an existing prompt&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These interfaces are well suited for AI workflows. For example, when writing a complex task prompt, an MCP-compatible client can call the prompt optimization tool directly instead of requiring you to open a Web page and copy text manually.&lt;/p&gt;
&lt;h2 id=&#34;difference-from-normal-chat-tools&#34;&gt;Difference from Normal Chat Tools
&lt;/h2&gt;&lt;p&gt;Normal chat tools can also help rewrite prompts, but they usually lack several parts:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Saving and comparing multiple versions is inconvenient&lt;/li&gt;
&lt;li&gt;Testing multiple models at once is inconvenient&lt;/li&gt;
&lt;li&gt;Turning variables into templates is inconvenient&lt;/li&gt;
&lt;li&gt;Multi-turn conversation validation is inconvenient&lt;/li&gt;
&lt;li&gt;Integrating through MCP or self-hosting is inconvenient&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The value of &lt;code&gt;Prompt Optimizer&lt;/code&gt; is that it turns prompt optimization into a repeatable process. It does not just give you a version that “looks more complete”; it lets you keep adjusting prompts around real outputs.&lt;/p&gt;
&lt;h2 id=&#34;who-should-use-it&#34;&gt;Who Should Use It
&lt;/h2&gt;&lt;p&gt;This project is worth attention if you:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Often write system prompts&lt;/li&gt;
&lt;li&gt;Design roles and output formats for AI applications&lt;/li&gt;
&lt;li&gt;Need to compare outputs from different models&lt;/li&gt;
&lt;li&gt;Want to turn prompts into reusable templates&lt;/li&gt;
&lt;li&gt;Need to test multi-turn dialogue or tool calls&lt;/li&gt;
&lt;li&gt;Want to connect prompt optimization to an MCP workflow&lt;/li&gt;
&lt;li&gt;Want to deploy a prompt tool locally or inside an intranet&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only occasionally ask AI a simple question, a normal chat page is enough. This tool is better for people who treat prompts as maintainable assets.&lt;/p&gt;
&lt;h2 id=&#34;notes-for-use&#34;&gt;Notes for Use
&lt;/h2&gt;&lt;p&gt;First, do not treat optimization results as absolutely correct.&lt;/p&gt;
&lt;p&gt;Prompt optimization tools can improve expression quality, but they cannot guarantee that a model will never misunderstand. Important tasks still need test cases, manual review, and version comparison.&lt;/p&gt;
&lt;p&gt;Second, do not only chase length.&lt;/p&gt;
&lt;p&gt;A good prompt is not necessarily longer. It should express goals, boundaries, input and output formats, and evaluation criteria more clearly. Meaningless rule stacking can make the model miss the point.&lt;/p&gt;
&lt;p&gt;Third, tune prompts by model.&lt;/p&gt;
&lt;p&gt;Different models respond differently to role settings, format constraints, reasoning steps, and examples. A prompt that works well on a large model may not suit a smaller model. Multi-model testing is one reason this tool is useful.&lt;/p&gt;
&lt;p&gt;Fourth, consider keys and access control when deploying.&lt;/p&gt;
&lt;p&gt;If you deploy it publicly, configure an access password and handle API keys carefully. The project supports access control through environment variables; do not write sensitive configuration directly into public repositories.&lt;/p&gt;
&lt;h2 id=&#34;reference&#34;&gt;Reference
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://github.com/linshenkx/prompt-optimizer&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;linshenkx/prompt-optimizer&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;final-thought&#34;&gt;Final Thought
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Prompt Optimizer&lt;/code&gt; is useful for turning prompts from “a temporary paragraph I wrote by hand” into “a work asset that can be tested, compared, and iterated.”&lt;/p&gt;
&lt;p&gt;When you start maintaining prompts across multiple models, scenarios, and versions, this kind of tool is more convenient than a normal chat window.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>How to Split Tasks Between ChatGPT, Claude, and Gemini: Choosing for Daily Use, Coding, and Special Capabilities</title>
        <link>https://knightli.com/en/2026/04/25/chatgpt-claude-gemini-task-selection/</link>
        <pubDate>Sat, 25 Apr 2026 10:51:19 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/25/chatgpt-claude-gemini-task-selection/</guid>
        <description>&lt;p&gt;Many people no longer rely on just one model. Instead, they switch back and forth between &lt;code&gt;ChatGPT&lt;/code&gt;, &lt;code&gt;Claude&lt;/code&gt;, and &lt;code&gt;Gemini&lt;/code&gt;. That makes the question much more practical: &lt;strong&gt;which kinds of tasks should go to which model?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;This feels confusing not because all three are weak, but because they are now strong in different ways. If you still choose based on a vague standard like “which one is smarter,” you can easily end up picking the wrong tool.&lt;/p&gt;
&lt;p&gt;If we simplify the conclusion first, it roughly looks like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;For daily conversations and general-purpose tasks, many people start with &lt;code&gt;ChatGPT&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;For command-line coding, long-context collaboration, and sustained task execution, &lt;code&gt;Claude&lt;/code&gt; often feels smoother&lt;/li&gt;
&lt;li&gt;When you need Google ecosystem integration, search, multimodal entry points, or certain product-level capabilities, &lt;code&gt;Gemini&lt;/code&gt; tends to stand out more&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Let’s break that down into three parts.&lt;/p&gt;
&lt;h2 id=&#34;1-daily-conversations-why-many-people-still-open-chatgpt-first&#34;&gt;1. Daily conversations: why many people still open &lt;code&gt;ChatGPT&lt;/code&gt; first
&lt;/h2&gt;&lt;p&gt;For most everyday scenarios, &lt;code&gt;ChatGPT&lt;/code&gt; still feels like the “default entry point.”&lt;/p&gt;
&lt;p&gt;This is not about a single benchmark. It is about the overall experience:&lt;br&gt;
when you want to ask a quick question, organize your thoughts, draft some copy, create a first version, or summarize a piece of material, &lt;code&gt;ChatGPT&lt;/code&gt; usually feels fairly balanced.&lt;/p&gt;
&lt;p&gt;Its strengths often show up in a few places:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Its response style is relatively stable&lt;/li&gt;
&lt;li&gt;The learning curve is low for general users&lt;/li&gt;
&lt;li&gt;Most broad tasks do not require much extra prompt tuning&lt;/li&gt;
&lt;li&gt;The product feels polished and works well for frequent everyday use&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So if your task is something like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Help me organize a topic&lt;/li&gt;
&lt;li&gt;Turn an idea into structured content&lt;/li&gt;
&lt;li&gt;Summarize a long article&lt;/li&gt;
&lt;li&gt;Brainstorm several approaches&lt;/li&gt;
&lt;li&gt;Rewrite something more clearly&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Then &lt;code&gt;ChatGPT&lt;/code&gt; is often a very natural place to start.&lt;/p&gt;
&lt;p&gt;That does not mean it is always the strongest option for every professional task. It means that for broad, general-purpose use, it often feels more like the default workspace.&lt;/p&gt;
&lt;h2 id=&#34;2-command-line-coding-and-long-tasks-why-many-people-lean-toward-claude&#34;&gt;2. Command-line coding and long tasks: why many people lean toward &lt;code&gt;Claude&lt;/code&gt;
&lt;/h2&gt;&lt;p&gt;Once a task shifts from “let’s chat” to “let’s keep working until this is done,” many people start preferring &lt;code&gt;Claude&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;This is especially true in scenarios like:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Command-line programming&lt;/li&gt;
&lt;li&gt;Understanding the context of a large project&lt;/li&gt;
&lt;li&gt;Coordinating edits across multiple files&lt;/li&gt;
&lt;li&gt;Debugging long task chains&lt;/li&gt;
&lt;li&gt;Reading code while steadily moving a task forward&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In this kind of work, the key is usually not whether one reply is especially impressive. It is whether the model can stay stable across a longer chain of work.&lt;/p&gt;
&lt;p&gt;The reason &lt;code&gt;Claude&lt;/code&gt; is often favored is usually not that “it says one sentence better than the others,” but that:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;It holds up better on long-context tasks&lt;/li&gt;
&lt;li&gt;It feels steadier when reading files, logs, and rules continuously&lt;/li&gt;
&lt;li&gt;It is better suited to gradually advancing complex coding work&lt;/li&gt;
&lt;li&gt;In command-line and agent workflows, it is often treated as the primary working model&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you are doing &lt;code&gt;vibe coding&lt;/code&gt;, fixing bugs in the terminal, understanding project structure, or changing features across multiple files, &lt;code&gt;Claude&lt;/code&gt;’s strengths tend to show up more clearly.&lt;/p&gt;
&lt;p&gt;Put simply, &lt;code&gt;Claude&lt;/code&gt; feels more like a model you work with to get things done, not just one you ask a question and get an answer from.&lt;/p&gt;
&lt;h2 id=&#34;3-gemini-often-wins-not-by-competing-head-on-in-everything&#34;&gt;3. &lt;code&gt;Gemini&lt;/code&gt; often wins not by “competing head-on in everything”
&lt;/h2&gt;&lt;p&gt;When people talk about &lt;code&gt;Gemini&lt;/code&gt;, they often frame the question like this: is it the strongest of the three?&lt;/p&gt;
&lt;p&gt;But in real usage, the more useful question is usually not that. It is: &lt;strong&gt;in which scenarios is it especially worth pulling out and using on purpose?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;code&gt;Gemini&lt;/code&gt;’s value often shows up more clearly in these directions:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Integration with the Google ecosystem&lt;/li&gt;
&lt;li&gt;Search and information gathering&lt;/li&gt;
&lt;li&gt;Multimodal entry points&lt;/li&gt;
&lt;li&gt;Certain product-side feature linkages&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If your workflow is already close to Google’s toolchain, for example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Search&lt;/li&gt;
&lt;li&gt;Documents&lt;/li&gt;
&lt;li&gt;Email&lt;/li&gt;
&lt;li&gt;Browser-side usage&lt;/li&gt;
&lt;li&gt;Mobile entry points&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Then &lt;code&gt;Gemini&lt;/code&gt;’s practical convenience may matter more than a simple model-score comparison.&lt;/p&gt;
&lt;p&gt;In other words, &lt;code&gt;Gemini&lt;/code&gt; is often useful because it plugs into your workflow more naturally, not just because it may or may not beat someone else in a single response.&lt;/p&gt;
&lt;h2 id=&#34;4-the-useful-way-to-choose-is-not-asking-who-is-strongest-but-asking-what-kind-of-task-you-have&#34;&gt;4. The useful way to choose is not asking who is strongest, but asking what kind of task you have
&lt;/h2&gt;&lt;p&gt;When people compare all three models side by side, the easiest trap is trying to find one “single best” model.&lt;/p&gt;
&lt;p&gt;But real tasks vary too much:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Some are one-off Q&amp;amp;A&lt;/li&gt;
&lt;li&gt;Some are long-running conversations&lt;/li&gt;
&lt;li&gt;Some are software projects&lt;/li&gt;
&lt;li&gt;Some are information retrieval&lt;/li&gt;
&lt;li&gt;Some are multimodal processing&lt;/li&gt;
&lt;li&gt;Some are toolchain collaboration&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So the more effective approach is usually to sort by task type:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;If you want a broad, high-frequency assistant that works right away, start with &lt;code&gt;ChatGPT&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;If you need long context, command-line work, coding collaboration, and steady progress on complex tasks, try &lt;code&gt;Claude&lt;/code&gt; first&lt;/li&gt;
&lt;li&gt;If you need help from the Google ecosystem, search, multimodal entry points, or certain product integrations, pay special attention to &lt;code&gt;Gemini&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That kind of division of labor is much closer to real-world use than forcing a single overall champion.&lt;/p&gt;
&lt;h2 id=&#34;5-why-many-heavy-users-subscribe-to-all-three&#34;&gt;5. Why many heavy users subscribe to all three
&lt;/h2&gt;&lt;p&gt;From a light user’s perspective, paying for all three can look redundant.&lt;br&gt;
From a heavy user’s perspective, it is more like assigning different tools to different jobs.&lt;/p&gt;
&lt;p&gt;The reason is simple:&lt;br&gt;
if the strengths of the three models have already started to diverge clearly, then using them together is not really duplicated spending. It is a way to reduce switching costs and trial-and-error costs.&lt;/p&gt;
&lt;p&gt;For example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use &lt;code&gt;ChatGPT&lt;/code&gt; for daily organization and general Q&amp;amp;A&lt;/li&gt;
&lt;li&gt;Use &lt;code&gt;Claude&lt;/code&gt; for primary coding work&lt;/li&gt;
&lt;li&gt;Use &lt;code&gt;Gemini&lt;/code&gt; for certain search, multimodal, or Google-related workflows&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The logic of this setup is not fundamentally different from designers installing multiple creative tools or developers using multiple IDEs.&lt;/p&gt;
&lt;h2 id=&#34;6-when-you-should-not-switch-models-too-often&#34;&gt;6. When you should not switch models too often
&lt;/h2&gt;&lt;p&gt;Of course, having more models is not always better.&lt;/p&gt;
&lt;p&gt;If you are still building a stable workflow, jumping too early and too often between three models can actually make things messier. Common issues include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Re-explaining the same task three times&lt;/li&gt;
&lt;li&gt;Getting different suggestions from different models and struggling more to judge them&lt;/li&gt;
&lt;li&gt;Losing context and increasing collaboration costs&lt;/li&gt;
&lt;li&gt;Getting stuck on tool choice before forming your own working boundaries&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So a steadier way is usually this:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Give each model one primary scenario first&lt;/li&gt;
&lt;li&gt;Use it continuously in that scenario for a while&lt;/li&gt;
&lt;li&gt;Gradually build your own habits of division of labor&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;That makes it easier to gain reusable experience instead of staying forever in the “let me try this one today” stage.&lt;/p&gt;
&lt;h2 id=&#34;7-a-simple-way-to-remember-it&#34;&gt;7. A simple way to remember it
&lt;/h2&gt;&lt;p&gt;If you just want a practical version to remember, you can use this plain-language split:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;ChatGPT&lt;/code&gt;: more like the default general-purpose assistant&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Claude&lt;/code&gt;: more like the main option for long tasks and coding collaboration&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Gemini&lt;/code&gt;: more like the tool with stronger advantages in search, multimodal work, and the Google ecosystem&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is not an absolute rule, and it does not mean the three cannot replace each other. It is simply a more realistic starting point.&lt;/p&gt;
&lt;p&gt;What really matters is not choosing the “strongest model in the universe,” but figuring out as soon as possible:&lt;br&gt;
&lt;strong&gt;for the kind of task in front of you, which model saves the most time, costs the least mental effort, and makes it easiest to get results?&lt;/strong&gt;&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Why LLM APIs Charge by Tokens: A Clear Guide to Input, Output, and Context Costs</title>
        <link>https://knightli.com/en/2026/04/25/llm-token-pricing-principles/</link>
        <pubDate>Sat, 25 Apr 2026 08:44:32 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/25/llm-token-pricing-principles/</guid>
        <description>&lt;p&gt;One of the easiest things to find confusing about LLM API billing is why almost every platform eventually comes down to one unit: &lt;code&gt;token&lt;/code&gt;. The real question is simple: &lt;strong&gt;why do LLMs charge by token, and why can different tokens have different prices?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;For many people who are just starting to use model APIs, the most confusing part is not model capability but the bill. Why does the cost rise so quickly even when you only ask a few questions? Why is input cheaper than output? Why does the bill start growing much faster once context becomes long?&lt;/p&gt;
&lt;p&gt;A simple way to think about it is this: &lt;strong&gt;you are not paying for &amp;ldquo;one answer.&amp;rdquo; You are paying for the compute and bandwidth consumed throughout the whole inference process.&lt;/strong&gt;&lt;/p&gt;
&lt;h2 id=&#34;1-what-is-a-token&#34;&gt;1. What is a token
&lt;/h2&gt;&lt;p&gt;In LLM billing, a &lt;code&gt;token&lt;/code&gt; is neither a character count nor a word count. It is the unit a model uses when processing text.&lt;/p&gt;
&lt;p&gt;A token might be:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A single Chinese character&lt;/li&gt;
&lt;li&gt;Part of an English word&lt;/li&gt;
&lt;li&gt;A punctuation mark&lt;/li&gt;
&lt;li&gt;A short chunk of frequently seen text&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That is why API platforms usually do not charge per sentence or per request. They charge according to how many tokens the model actually reads and generates.&lt;br&gt;
This is much more reasonable than charging by request count, because one request might contain 20 characters, while another might include 200,000 tokens of context. The resource consumption is nowhere near the same.&lt;/p&gt;
&lt;h2 id=&#34;2-why-input-and-output-are-priced-separately&#34;&gt;2. Why input and output are priced separately
&lt;/h2&gt;&lt;p&gt;Most model APIs today split pricing into two parts:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Input token price&lt;/li&gt;
&lt;li&gt;Output token price&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;And in many cases, &lt;strong&gt;output tokens cost more than input tokens.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The reason is not hard to understand.&lt;/p&gt;
&lt;p&gt;When a model processes input, it is mainly reading and encoding existing content. But when it generates output, it has to predict the next token, then the next one, then the next one. This is not just reading. It is an ongoing process of inference and sampling, which usually costs more compute.&lt;/p&gt;
&lt;p&gt;You can think of it roughly like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Input: handing materials to the model&lt;/li&gt;
&lt;li&gt;Output: asking the model to write the answer on the spot&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Writing on the spot usually costs more than reading the materials once, so it is very common for output pricing to be higher.&lt;/p&gt;
&lt;h2 id=&#34;3-why-long-context-makes-costs-easier-to-lose-control-of&#34;&gt;3. Why long context makes costs easier to lose control of
&lt;/h2&gt;&lt;p&gt;Many people think they are only adding a bit more background information, but from the model billing perspective, the impact is often much bigger than expected.&lt;/p&gt;
&lt;p&gt;The reason is that &lt;strong&gt;each model call usually has to process the full context included in that request again.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;That means if your request currently contains:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A system prompt&lt;/li&gt;
&lt;li&gt;Conversation history&lt;/li&gt;
&lt;li&gt;Tool return values&lt;/li&gt;
&lt;li&gt;Long document chunks&lt;/li&gt;
&lt;li&gt;Source code files&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;all of that goes into input token billing.&lt;/p&gt;
&lt;p&gt;So what really makes bills grow is often not the final question itself, but the long chain of context attached before it.&lt;br&gt;
As the number of conversation turns increases, tool calls accumulate, and prior messages keep getting fed back in, token cost grows round after round.&lt;/p&gt;
&lt;h2 id=&#34;4-why-tool-calls-are-especially-likely-to-inflate-token-usage&#34;&gt;4. Why tool calls are especially likely to inflate token usage
&lt;/h2&gt;&lt;p&gt;In scenarios like agents, coding assistants, and workflow automation, token usage is often much higher than in ordinary chat.&lt;/p&gt;
&lt;p&gt;The issue is not just that the model wrote a paragraph. It is that the workflow keeps producing content like:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reading files&lt;/li&gt;
&lt;li&gt;Inspecting logs&lt;/li&gt;
&lt;li&gt;Calling APIs&lt;/li&gt;
&lt;li&gt;Returning JSON&lt;/li&gt;
&lt;li&gt;Feeding tool results back into the model&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;As long as the result of each tool call gets inserted into the next round of context, it becomes a new source of input tokens.&lt;/p&gt;
&lt;p&gt;That is why many developers eventually realize:&lt;br&gt;
&lt;strong&gt;the model&amp;rsquo;s unit price is not always the real problem. The workflow itself may be stacking token cost layer by layer.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;For example, imagine a coding agent doing the following:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Read the project structure&lt;/li&gt;
&lt;li&gt;Open several source files&lt;/li&gt;
&lt;li&gt;Run a test suite&lt;/li&gt;
&lt;li&gt;Feed the error logs back into the model&lt;/li&gt;
&lt;li&gt;Read more related files&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Each step can make later requests carry even more context. Even if the unit price does not change, the total bill can rise quickly.&lt;/p&gt;
&lt;h2 id=&#34;5-why-the-same-kind-of-model-can-have-very-different-prices&#34;&gt;5. Why the same kind of model can have very different prices
&lt;/h2&gt;&lt;p&gt;Differences in token pricing between models are not only about vendors wanting to charge more. They are usually tied directly to several factors:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Model size&lt;/li&gt;
&lt;li&gt;Inference efficiency&lt;/li&gt;
&lt;li&gt;Context length&lt;/li&gt;
&lt;li&gt;Deployment cost&lt;/li&gt;
&lt;li&gt;Target market&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The larger the model, the more active parameters it uses, and the more complex its inference path is, the higher the cost of generating one token usually becomes.&lt;br&gt;
If the model also supports ultra-long context, more complex reasoning, or better tool use, the infrastructure pressure increases even more.&lt;/p&gt;
&lt;p&gt;So pricing is really covering several kinds of cost:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;GPU or accelerator resources&lt;/li&gt;
&lt;li&gt;VRAM usage&lt;/li&gt;
&lt;li&gt;Inference latency&lt;/li&gt;
&lt;li&gt;Network and service stability&lt;/li&gt;
&lt;li&gt;Peak concurrency capacity&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A cheaper model is not necessarily bad, and a more expensive model is not necessarily the right choice for every task. In many cases, the price gap reflects how much infrastructure cost a certain level of capability requires.&lt;/p&gt;
&lt;h2 id=&#34;6-why-cached-input-is-cheaper&#34;&gt;6. Why cached input is cheaper
&lt;/h2&gt;&lt;p&gt;Many model platforms now offer features such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;cached input&lt;/li&gt;
&lt;li&gt;prompt caching&lt;/li&gt;
&lt;li&gt;prefix caching&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The shared idea behind them is simple: if a large chunk of input has already been processed once, do not keep recomputing it from scratch at full price.&lt;/p&gt;
&lt;p&gt;For example, if you repeatedly send the same system prompt, the same tool instructions, or the same long document prefix, the platform may be able to cache part of that computation. Then even though it is still input token usage, the cached portion can be billed at a lower rate.&lt;/p&gt;
&lt;p&gt;This also explains why many API pricing pages show three or more price tiers:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Standard input&lt;/li&gt;
&lt;li&gt;Cached input&lt;/li&gt;
&lt;li&gt;Output&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The difference is not that the text means different things. It is that the underlying computation may or may not be reusable.&lt;/p&gt;
&lt;h2 id=&#34;7-why-cheap-tokens-do-not-automatically-mean-lower-total-cost&#34;&gt;7. Why &amp;ldquo;cheap tokens&amp;rdquo; do not automatically mean lower total cost
&lt;/h2&gt;&lt;p&gt;When people see a model advertised as &amp;ldquo;very cheap per million tokens,&amp;rdquo; the first instinct is often that total cost must also be lower. In reality, not always.&lt;/p&gt;
&lt;p&gt;That is because total cost is roughly:&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;token unit price × actual token volume&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;And actual token volume can be amplified by many things:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Prompts that are too long&lt;/li&gt;
&lt;li&gt;Conversation history that is never trimmed&lt;/li&gt;
&lt;li&gt;Too much tool output fed back in&lt;/li&gt;
&lt;li&gt;Overly verbose model output&lt;/li&gt;
&lt;li&gt;Repeated retries for the same task&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So the real bill is not determined by price alone. It is usually determined by:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Model unit price&lt;/li&gt;
&lt;li&gt;Input length per round&lt;/li&gt;
&lt;li&gt;Output length per round&lt;/li&gt;
&lt;li&gt;Number of calls&lt;/li&gt;
&lt;li&gt;Workflow design&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That is also why a &amp;ldquo;low-cost model&amp;rdquo; can still end up expensive in some agent workflows. It may need more rounds, more supplemental context, and more retry cycles.&lt;/p&gt;
&lt;h2 id=&#34;8-how-developers-should-estimate-token-cost&#34;&gt;8. How developers should estimate token cost
&lt;/h2&gt;&lt;p&gt;If you want better budget control in a real project, a simple way to estimate cost is:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Measure average input tokens per request&lt;/li&gt;
&lt;li&gt;Measure average output tokens per request&lt;/li&gt;
&lt;li&gt;Estimate how many rounds one complete task requires&lt;/li&gt;
&lt;li&gt;Multiply by the model&amp;rsquo;s pricing&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;For example:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;8k tokens&lt;/code&gt; of input per round&lt;/li&gt;
&lt;li&gt;&lt;code&gt;1k tokens&lt;/code&gt; of output per round&lt;/li&gt;
&lt;li&gt;&lt;code&gt;10&lt;/code&gt; rounds for one task&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Then what you are really consuming is not &amp;ldquo;one Q&amp;amp;A exchange,&amp;rdquo; but:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;About &lt;code&gt;80k tokens&lt;/code&gt; of input&lt;/li&gt;
&lt;li&gt;About &lt;code&gt;10k tokens&lt;/code&gt; of output&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;And if logs, tool results, and file contents keep being added along the way, the total grows even further.&lt;/p&gt;
&lt;p&gt;That is why budget planning should not only look at a single round. It should look at &lt;strong&gt;how many tokens a full task loop will consume from start to finish.&lt;/strong&gt;&lt;/p&gt;
&lt;h2 id=&#34;9-how-to-control-the-bill-in-practice&#34;&gt;9. How to control the bill in practice
&lt;/h2&gt;&lt;p&gt;If you are already using APIs or agents, the following methods are usually the most effective:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Shorten the system prompt and cut repeated wording&lt;/li&gt;
&lt;li&gt;Trim old conversation history regularly&lt;/li&gt;
&lt;li&gt;Keep only necessary fields from tool outputs&lt;/li&gt;
&lt;li&gt;Retrieve first, then send only relevant parts of long documents&lt;/li&gt;
&lt;li&gt;Limit output length and avoid unbounded expansion&lt;/li&gt;
&lt;li&gt;Use expensive models for high-value tasks and cheaper ones for lower-value tasks&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In many cases, the best way to save money is not to switch blindly to a cheaper model. It is to remove unnecessary token consumption from the workflow first.&lt;/p&gt;
&lt;h2 id=&#34;10-how-to-think-about-all-of-this&#34;&gt;10. How to think about all of this
&lt;/h2&gt;&lt;p&gt;At the end of the day, token pricing is a way of charging for how much the model had to read, infer, and write.&lt;/p&gt;
&lt;p&gt;It is not like traditional software pricing, where per-account, per-request, or monthly billing is enough to describe resource use. A model call is a dynamic computation process. The amount of context you send, the tools you invoke, and the output length you request all directly affect cost.&lt;/p&gt;
&lt;p&gt;So the most important thing is not memorizing price tables. It is building the right intuition:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Long context increases input cost&lt;/li&gt;
&lt;li&gt;Long output increases generation cost&lt;/li&gt;
&lt;li&gt;Tool chains amplify total token usage&lt;/li&gt;
&lt;li&gt;Caching and workflow design can change the bill significantly&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Once those points are clear, the pricing structure of most LLM APIs becomes much easier to understand.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>DeepSeek-V4 Preview Released: 1M Context, Two Models, and API Migration Notes</title>
        <link>https://knightli.com/en/2026/04/24/deepseek-v4-preview-release/</link>
        <pubDate>Fri, 24 Apr 2026 22:39:46 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/24/deepseek-v4-preview-release/</guid>
        <description>&lt;p&gt;DeepSeek released &lt;a class=&#34;link&#34; href=&#34;https://api-docs.deepseek.com/news/news260424&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;DeepSeek V4 Preview Release&lt;/a&gt; on &lt;code&gt;2026-04-24&lt;/code&gt;. Based on the official announcement page, the update is centered on a few very clear themes: &lt;code&gt;1M context&lt;/code&gt;, a two-model lineup with &lt;code&gt;V4-Pro&lt;/code&gt; and &lt;code&gt;V4-Flash&lt;/code&gt;, dedicated optimization for agent scenarios, and API-side model migration.&lt;/p&gt;
&lt;p&gt;If we reduce the release to one sentence, the main signal is this: DeepSeek is not just trying to make a stronger model. It is pushing ultra-long context and agent capabilities toward something that is ready for practical deployment.&lt;/p&gt;
&lt;h2 id=&#34;1-what-was-released-this-time&#34;&gt;1. What was released this time
&lt;/h2&gt;&lt;p&gt;According to the official page, &lt;code&gt;DeepSeek-V4 Preview&lt;/code&gt; mainly includes two product lines:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;DeepSeek-V4-Pro&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;DeepSeek-V4-Flash&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The official descriptions are also very direct:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;DeepSeek-V4-Pro&lt;/code&gt;: &lt;code&gt;1.6T total / 49B active params&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;DeepSeek-V4-Flash&lt;/code&gt;: &lt;code&gt;284B total / 13B active params&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The naming already makes the strategy clear. This is not a single-model upgrade. DeepSeek is launching a higher-end model and a more cost-efficient model at the same time.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;V4-Pro&lt;/code&gt; is positioned around performance ceiling, with DeepSeek saying it can compete with the world&amp;rsquo;s top closed-source models. &lt;code&gt;V4-Flash&lt;/code&gt;, by contrast, is positioned around speed, efficiency, and lower cost, making it more suitable for workloads that care more about latency and API pricing.&lt;/p&gt;
&lt;h2 id=&#34;2-1m-context-is-the-most-visible-headline&#34;&gt;2. &lt;code&gt;1M context&lt;/code&gt; is the most visible headline
&lt;/h2&gt;&lt;p&gt;One of the most prominent lines on the official page is: &lt;strong&gt;&amp;ldquo;Welcome to the era of cost-effective 1M context length.&amp;rdquo;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;DeepSeek is not merely saying the model supports long context. It is presenting &lt;code&gt;1M context&lt;/code&gt; as a default capability of this generation. The page is explicit that:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;1M context&lt;/code&gt; is now the default standard across official DeepSeek services&lt;/li&gt;
&lt;li&gt;Both &lt;code&gt;V4-Pro&lt;/code&gt; and &lt;code&gt;V4-Flash&lt;/code&gt; support &lt;code&gt;1M context&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The importance of this is not just that you can fit more tokens. It directly affects tasks like:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Understanding large codebases&lt;/li&gt;
&lt;li&gt;Long-document Q&amp;amp;A and information synthesis&lt;/li&gt;
&lt;li&gt;Multi-turn agent workflows&lt;/li&gt;
&lt;li&gt;Complex tasks spanning multiple files, tools, and stages&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;When the context window is large enough, the model is less likely to lose context midway and re-read material repeatedly. That matters a lot for agentic coding and complex knowledge work.&lt;/p&gt;
&lt;h2 id=&#34;3-what-v4-pro-is-mainly-emphasizing&#34;&gt;3. What &lt;code&gt;V4-Pro&lt;/code&gt; is mainly emphasizing
&lt;/h2&gt;&lt;p&gt;From the wording on the official page, &lt;code&gt;DeepSeek-V4-Pro&lt;/code&gt; focuses on three things:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Agentic coding capability&lt;/li&gt;
&lt;li&gt;World knowledge&lt;/li&gt;
&lt;li&gt;Reasoning ability&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The page says &lt;code&gt;V4-Pro&lt;/code&gt; reaches open-source SOTA on agentic coding benchmarks. It also claims leadership among current open models in world knowledge, trailing only &lt;code&gt;Gemini-3.1-Pro&lt;/code&gt;, and states that its math, &lt;code&gt;STEM&lt;/code&gt;, and coding performance surpasses current open models while rivaling top closed-source models.&lt;/p&gt;
&lt;p&gt;In other words, &lt;code&gt;V4-Pro&lt;/code&gt; is not positioned as a simple question-answering model. It is aimed much more at high-difficulty reasoning, complex coding, and long-horizon task execution.&lt;/p&gt;
&lt;h2 id=&#34;4-v4-flash-is-not-just-a-cut-down-version&#34;&gt;4. &lt;code&gt;V4-Flash&lt;/code&gt; is not just a cut-down version
&lt;/h2&gt;&lt;p&gt;Another notable point is that DeepSeek does not present &lt;code&gt;V4-Flash&lt;/code&gt; as a low-end model. Instead, it stresses that the model is already strong enough for many practical tasks.&lt;/p&gt;
&lt;p&gt;According to the announcement, &lt;code&gt;V4-Flash&lt;/code&gt;:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Has reasoning ability that comes close to &lt;code&gt;V4-Pro&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Performs on par with &lt;code&gt;V4-Pro&lt;/code&gt; on simple agent tasks&lt;/li&gt;
&lt;li&gt;Uses fewer parameters, responds faster, and is more economical for API usage&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That means the lineup is not a very split &amp;ldquo;one flagship, one entry-level&amp;rdquo; structure. It is closer to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;V4-Pro&lt;/code&gt;: optimize for higher performance and a stronger ceiling&lt;/li&gt;
&lt;li&gt;&lt;code&gt;V4-Flash&lt;/code&gt;: optimize for lower latency and better cost efficiency&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For developers, that is often a more practical combination, because many production tasks do not need the absolute strongest model in theory. They need something strong enough, fast enough, and affordable enough.&lt;/p&gt;
&lt;h2 id=&#34;5-the-release-puts-clear-emphasis-on-agent-optimization&#34;&gt;5. The release puts clear emphasis on agent optimization
&lt;/h2&gt;&lt;p&gt;Another strong signal from the announcement page is that DeepSeek is actively pushing &lt;code&gt;V4&lt;/code&gt; toward agent use cases.&lt;/p&gt;
&lt;p&gt;The page says &lt;code&gt;DeepSeek-V4&lt;/code&gt; has been seamlessly integrated with several leading AI agents, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Claude Code&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OpenClaw&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OpenCode&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;DeepSeek also says that &lt;code&gt;V4&lt;/code&gt; is already being used in its in-house agentic coding workflows.&lt;/p&gt;
&lt;p&gt;That means the target is no longer limited to chat or ordinary completion. The model is being positioned for longer workflows: reading code, understanding structure, calling tools, generating outputs, and connecting the whole process together.&lt;/p&gt;
&lt;p&gt;If you have been paying attention to coding agents recently, this is worth noticing. Model providers are no longer only competing on benchmarks. They are also competing on whether the model can actually plug into real workflows.&lt;/p&gt;
&lt;h2 id=&#34;6-structural-innovation-is-serving-long-context-efficiency&#34;&gt;6. Structural innovation is serving long context efficiency
&lt;/h2&gt;&lt;p&gt;On the technical side, the page summarizes this release&amp;rsquo;s structural work as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;token-wise compression&lt;/li&gt;
&lt;li&gt;&lt;code&gt;DSA (DeepSeek Sparse Attention)&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The direction is clear: make long context cheaper and more efficient while reducing compute and memory cost as much as possible.&lt;/p&gt;
&lt;p&gt;The announcement page does not go into full technical detail, but it at least suggests that DeepSeek is not relying only on brute-force scaling to support longer windows. It is also making architecture-level optimizations specifically for long-context efficiency.&lt;/p&gt;
&lt;p&gt;For actual users, that often matters more than just seeing a bigger context number, because real usability depends on more than whether &lt;code&gt;1M&lt;/code&gt; is technically available. It also depends on:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Whether speed stays acceptable&lt;/li&gt;
&lt;li&gt;Whether cost stays acceptable&lt;/li&gt;
&lt;li&gt;Whether long-context tasks remain stable in practice&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;7-the-api-is-already-available-but-model-migration-matters&#34;&gt;7. The API is already available, but model migration matters
&lt;/h2&gt;&lt;p&gt;The official page clearly states that the API is available today.&lt;/p&gt;
&lt;p&gt;The migration path is also relatively simple:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Keep the same &lt;code&gt;base_url&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Switch the model name to &lt;code&gt;deepseek-v4-pro&lt;/code&gt; or &lt;code&gt;deepseek-v4-flash&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The page also says both models support:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;1M context&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Dual &lt;code&gt;Thinking / Non-Thinking&lt;/code&gt; modes&lt;/li&gt;
&lt;li&gt;&lt;code&gt;OpenAI ChatCompletions&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Anthropic APIs&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That means if you already use the DeepSeek API, the upgrade path is not especially difficult. The main work is updating model names and validating behavior.&lt;/p&gt;
&lt;h2 id=&#34;8-the-retirement-schedule-for-old-models-is-explicit&#34;&gt;8. The retirement schedule for old models is explicit
&lt;/h2&gt;&lt;p&gt;For developers, one of the most important details on the page is actually the retirement notice for older models.&lt;/p&gt;
&lt;p&gt;DeepSeek explicitly says:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;deepseek-chat&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;deepseek-reasoner&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;will be fully retired and inaccessible after &lt;strong&gt;July 24, 2026, 15:59 UTC&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;The page also notes that these two models are currently being routed to the non-thinking and thinking modes of &lt;code&gt;deepseek-v4-flash&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;That means if your project still directly references &lt;code&gt;deepseek-chat&lt;/code&gt; or &lt;code&gt;deepseek-reasoner&lt;/code&gt;, now is the time to plan the migration instead of waiting until the formal shutdown date gets close.&lt;/p&gt;
&lt;h2 id=&#34;9-how-this-release-is-worth-reading&#34;&gt;9. How this release is worth reading
&lt;/h2&gt;&lt;p&gt;If we compress the update into a few main takeaways, they look like this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;DeepSeek is turning &lt;code&gt;1M context&lt;/code&gt; from a premium feature into a default standard&lt;/li&gt;
&lt;li&gt;The two-model strategy is clearer: one targets performance ceiling, one targets speed and cost efficiency&lt;/li&gt;
&lt;li&gt;Agent capability has been moved into a very central role&lt;/li&gt;
&lt;li&gt;The API upgrade path is relatively direct, but the old-model retirement timeline needs attention soon&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For general users, the most visible change may be that long documents, long code contexts, and long workflows become easier to fit into one session.&lt;br&gt;
For developers, the more important point is that if you are already building agents, coding assistants, knowledge workflows, or complex automation pipelines, this generation is very clearly designed for those scenarios.&lt;/p&gt;
&lt;p&gt;This is not just a routine model update from DeepSeek. It reads more like a clearer statement of its next product direction: &lt;strong&gt;ultra-long context, agent optimization, and more practical API readiness.&lt;/strong&gt;&lt;/p&gt;
&lt;h2 id=&#34;related-links&#34;&gt;Related links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;DeepSeek official news page: &lt;a class=&#34;link&#34; href=&#34;https://api-docs.deepseek.com/news/news260424&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://api-docs.deepseek.com/news/news260424&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Tech Report: &lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro/blob/main/DeepSeek_V4.pdf&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Open Weights: &lt;a class=&#34;link&#34; href=&#34;https://huggingface.co/collections/deepseek-ai/deepseek-v4&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://huggingface.co/collections/deepseek-ai/deepseek-v4&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>OpenAI Releases GPT-5.5: Stronger Agentic Coding, Knowledge Work, and Research</title>
        <link>https://knightli.com/en/2026/04/24/openai-gpt-5-5-release/</link>
        <pubDate>Fri, 24 Apr 2026 08:39:56 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/24/openai-gpt-5-5-release/</guid>
        <description>&lt;p&gt;OpenAI published &lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/introducing-gpt-5-5/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Introducing GPT-5.5&lt;/a&gt; on April 23, 2026. Judging from the official page, this release is not just about making the model &amp;ldquo;smarter&amp;rdquo;; it is more about whether the model can keep pushing complex tasks forward.&lt;/p&gt;
&lt;p&gt;OpenAI positions GPT-5.5 as a model better suited for real work. It is expected not only to answer questions, but also to write code, debug, research online, analyze data, create documents and spreadsheets, operate software, and move across tools until the task is finished.&lt;/p&gt;
&lt;h2 id=&#34;1-where-gpt-55-is-strongest&#34;&gt;1. Where GPT-5.5 Is Strongest
&lt;/h2&gt;&lt;p&gt;The release page repeatedly highlights four areas:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Agentic coding&lt;/li&gt;
&lt;li&gt;Computer use and tool use&lt;/li&gt;
&lt;li&gt;Knowledge work&lt;/li&gt;
&lt;li&gt;Early scientific research assistance&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In other words, GPT-5.5 is aimed less at short Q&amp;amp;A and more at long-running tasks. For example, an engineering problem is not just &amp;ldquo;how should this code be changed&amp;rdquo;; the model needs to understand the project structure, locate the cause of failure, edit related files, add tests, verify results, and reduce repeated prompting from the user.&lt;/p&gt;
&lt;p&gt;OpenAI also emphasizes that GPT-5.5 uses fewer tokens in Codex tasks. This matters in practice because coding agents can consume tokens quickly once they start reading files, running commands, and fixing bugs. If a model can complete the same task in fewer steps, both cost and waiting time go down.&lt;/p&gt;
&lt;h2 id=&#34;2-coding-is-the-main-showcase&#34;&gt;2. Coding Is the Main Showcase
&lt;/h2&gt;&lt;p&gt;OpenAI calls GPT-5.5 its strongest agentic coding model to date.&lt;/p&gt;
&lt;p&gt;The most notable public numbers include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Terminal-Bench 2.0&lt;/code&gt;: GPT-5.5 reaches &lt;code&gt;82.7%&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;SWE-Bench Pro&lt;/code&gt;: GPT-5.5 reaches &lt;code&gt;58.6%&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;OpenAI&amp;rsquo;s internal &lt;code&gt;Expert-SWE&lt;/code&gt;: GPT-5.5 also scores higher than GPT-5.4&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These evaluations have one thing in common: they are closer to real engineering workflows than isolated algorithm questions. Terminal-Bench in particular involves command-line operations, planning, trial and error, tool coordination, and multi-step verification.&lt;/p&gt;
&lt;p&gt;For everyday developers, the implication is direct: whether a model can take on larger tasks depends on whether it can hold context for a long time, check its own assumptions, know when to run tests, and understand what else a change may affect.&lt;/p&gt;
&lt;p&gt;The value of GPT-5.5 in Codex also shows up mainly in these behaviors. It feels more like a collaborator that can take over part of an engineering task, rather than a tool that only completes code fragments.&lt;/p&gt;
&lt;h2 id=&#34;3-knowledge-work-becomes-a-core-scenario&#34;&gt;3. Knowledge Work Becomes a Core Scenario
&lt;/h2&gt;&lt;p&gt;Beyond coding, OpenAI is placing GPT-5.5 into a broader office-work context.&lt;/p&gt;
&lt;p&gt;The announcement says GPT-5.5 can generate documents, spreadsheets, and slide decks better in Codex, and is also better suited for operational research, spreadsheet modeling, and organizing business materials. Combined with computer use, its goal is not merely to offer suggestions, but to participate in the full workflow of finding information, understanding content, using tools, checking output, and turning raw material into a result.&lt;/p&gt;
&lt;p&gt;The page also notes that OpenAI already uses Codex across many internal departments, including software engineering, finance, communications, marketing, data science, and product management. The interesting part is not any single example, but the direction: OpenAI is expanding Codex from a developer tool into a more general work tool.&lt;/p&gt;
&lt;p&gt;In ChatGPT, GPT-5.5 Thinking is available to Plus, Pro, Business, and Enterprise users; GPT-5.5 Pro is aimed at harder questions and higher-accuracy work, and is available to Pro, Business, and Enterprise users.&lt;/p&gt;
&lt;h2 id=&#34;4-research-capability-is-more-than-better-answers&#34;&gt;4. Research Capability Is More Than Better Answers
&lt;/h2&gt;&lt;p&gt;GPT-5.5 also receives a strong research-focused presentation.&lt;/p&gt;
&lt;p&gt;OpenAI says it has improved in genetics, quantitative biology, bioinformatics, mathematical proof, and related areas. The key is not whether the model can recall a fact, but whether it can handle more realistic research problems: reading data, spotting anomalies, proposing analyses, interpreting results, and continuing based on intermediate findings.&lt;/p&gt;
&lt;p&gt;The release page mentions &lt;code&gt;GeneBench&lt;/code&gt; and &lt;code&gt;BixBench&lt;/code&gt;, both of which focus more on multi-stage scientific analysis. OpenAI also says an internal version of GPT-5.5, with a custom harness, helped discover a new proof related to Ramsey numbers and verified it with Lean.&lt;/p&gt;
&lt;p&gt;These examples should not be simplified into &amp;ldquo;AI can now do research independently.&amp;rdquo; But they do suggest that models are moving from answer engines toward research collaborators. In scenarios where code, data, papers, experiment ideas, and notes are mixed together, GPT-5.5&amp;rsquo;s long-horizon reasoning and tool use become especially important.&lt;/p&gt;
&lt;h2 id=&#34;5-inference-efficiency-stronger-without-getting-much-slower&#34;&gt;5. Inference Efficiency: Stronger Without Getting Much Slower
&lt;/h2&gt;&lt;p&gt;One easily overlooked point is that OpenAI says GPT-5.5 matches GPT-5.4 in real-world per-token latency.&lt;/p&gt;
&lt;p&gt;Normally, larger and more capable models bring higher latency. This time, OpenAI emphasizes that inference-system optimization helped GPT-5.5 become more capable while keeping speed stable. The release page also mentions that Codex analyzed production traffic patterns and wrote load-balancing heuristic algorithms, increasing token generation speed by more than &lt;code&gt;20%&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;That detail is interesting: the model is not only served by infrastructure, but also helps improve the infrastructure that serves it.&lt;/p&gt;
&lt;h2 id=&#34;6-safety-gets-stricter-especially-around-cybersecurity&#34;&gt;6. Safety Gets Stricter, Especially Around Cybersecurity
&lt;/h2&gt;&lt;p&gt;Because GPT-5.5 has stronger cybersecurity capabilities, OpenAI is also tightening safety controls.&lt;/p&gt;
&lt;p&gt;The announcement says GPT-5.5 improves over GPT-5.4 in cybersecurity capability, so OpenAI is deploying stricter classifiers, especially for high-risk activity, sensitive cybersecurity requests, and repeated misuse.&lt;/p&gt;
&lt;p&gt;This means some users may see more refusals or friction when working on cybersecurity-related tasks. OpenAI also offers Trusted Access for Cyber, intended to reduce unnecessary barriers for verified defensive users.&lt;/p&gt;
&lt;p&gt;For ordinary developers, the simple takeaway is: legitimate security hardening, vulnerability fixing, and code auditing should continue to be supported, while high-risk attack workflows will be more tightly controlled.&lt;/p&gt;
&lt;h2 id=&#34;7-availability-and-api-pricing&#34;&gt;7. Availability and API Pricing
&lt;/h2&gt;&lt;p&gt;According to OpenAI&amp;rsquo;s release page, GPT-5.5 availability is as follows:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;ChatGPT: GPT-5.5 Thinking for Plus, Pro, Business, and Enterprise users&lt;/li&gt;
&lt;li&gt;ChatGPT: GPT-5.5 Pro for Pro, Business, and Enterprise users&lt;/li&gt;
&lt;li&gt;Codex: GPT-5.5 for Plus, Pro, Business, Enterprise, Edu, and Go plans&lt;/li&gt;
&lt;li&gt;Codex: &lt;code&gt;400K&lt;/code&gt; context window&lt;/li&gt;
&lt;li&gt;Codex Fast mode: about &lt;code&gt;1.5x&lt;/code&gt; token generation speed at &lt;code&gt;2.5x&lt;/code&gt; the cost&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For the API, OpenAI says &lt;code&gt;gpt-5.5&lt;/code&gt; and &lt;code&gt;gpt-5.5-pro&lt;/code&gt; will be available soon.&lt;/p&gt;
&lt;p&gt;The announced API prices are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;gpt-5.5&lt;/code&gt;: &lt;code&gt;US$5 / 1M tokens&lt;/code&gt; input and &lt;code&gt;US$30 / 1M tokens&lt;/code&gt; output&lt;/li&gt;
&lt;li&gt;&lt;code&gt;gpt-5.5-pro&lt;/code&gt;: &lt;code&gt;US$30 / 1M tokens&lt;/code&gt; input and &lt;code&gt;US$180 / 1M tokens&lt;/code&gt; output&lt;/li&gt;
&lt;li&gt;&lt;code&gt;gpt-5.5&lt;/code&gt; API context window: &lt;code&gt;1M&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;Batch and Flex are half the standard API price&lt;/li&gt;
&lt;li&gt;Priority processing is &lt;code&gt;2.5x&lt;/code&gt; the standard price&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This is clearly more expensive than many everyday models, so it is better suited for high-value tasks: complex engineering changes, long-document analysis, office automation, research assistance, and important business workflows, rather than casual chat.&lt;/p&gt;
&lt;h2 id=&#34;8-how-to-read-this-release&#34;&gt;8. How to Read This Release
&lt;/h2&gt;&lt;p&gt;In one sentence, GPT-5.5 is about OpenAI pushing models further from &amp;ldquo;answering questions&amp;rdquo; toward &amp;ldquo;getting work done.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;The most important part is not just higher benchmark scores, but the convergence of several capabilities:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Better long-task persistence&lt;/li&gt;
&lt;li&gt;More reliable tool use&lt;/li&gt;
&lt;li&gt;Stronger engineering context understanding&lt;/li&gt;
&lt;li&gt;Better fit for documents, spreadsheets, research, and business workflows&lt;/li&gt;
&lt;li&gt;Longer context and higher token efficiency&lt;/li&gt;
&lt;li&gt;Stricter controls around high-risk capabilities&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For developers, the most interesting thing to test is complex engineering work in Codex. For enterprise users, the bigger question is whether it can turn some cross-tool, cross-document, cross-process work into deliverable output.&lt;/p&gt;
&lt;p&gt;GPT-5.5 is not a small update aimed only at chat experience. It looks more like another step in OpenAI&amp;rsquo;s push toward AI as an execution layer for work.&lt;/p&gt;
&lt;h2 id=&#34;related-links&#34;&gt;Related Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/introducing-gpt-5-5/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Introducing GPT-5.5 - OpenAI&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>How to Choose an Embedded Development Environment in 2026: Keil, STM32CubeIDE, VS Code, and AI Collaboration</title>
        <link>https://knightli.com/en/2026/04/22/embedded-development-environment-keil-vscode-ai-2026/</link>
        <pubDate>Wed, 22 Apr 2026 23:05:00 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/22/embedded-development-environment-keil-vscode-ai-2026/</guid>
        <description>&lt;p&gt;If you still work on microcontrollers or embedded systems, you will quickly run into a very practical question: in 2026, when AI-assisted coding has become increasingly common, what development environment actually makes sense?&lt;/p&gt;
&lt;p&gt;On the surface, this looks like a comparison between several IDEs. But what it really asks is something else: do you want a tool that can simply get the project running, or a workflow that balances ecosystem compatibility, coding experience, and AI collaboration?&lt;/p&gt;
&lt;p&gt;Seen from that angle, the answer is usually not to pick one out of &lt;code&gt;Keil&lt;/code&gt;, &lt;code&gt;STM32CubeIDE&lt;/code&gt;, &lt;code&gt;VS Code&lt;/code&gt;, and &lt;code&gt;CLion&lt;/code&gt;, but to recombine the parts each one does best.&lt;/p&gt;
&lt;h2 id=&#34;first-look-at-the-main-options-and-what-each-one-really-solves&#34;&gt;First look at the main options and what each one really solves
&lt;/h2&gt;&lt;p&gt;In embedded development, the familiar names are still more or less the same:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Keil&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;STM32CubeIDE&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;VS Code&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;CLion&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you go back even further, people will still mention &lt;code&gt;IAR&lt;/code&gt;. But for this discussion, what matters less is who has the oldest pedigree, and more who actually fits today&amp;rsquo;s development reality.&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/04/22/embedded-development-environment-keil-vscode-ai-2026/embedded-ide-comparison.svg&#34;
	
	
	
	loading=&#34;lazy&#34;
	
		alt=&#34;Comparison chart of embedded development environments&#34;
	
	
&gt;&lt;/p&gt;
&lt;h2 id=&#34;keil-strong-ecosystem-dependable-entry-point-but-clearly-outdated-editing-experience&#34;&gt;Keil: strong ecosystem, dependable entry point, but clearly outdated editing experience
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Keil&lt;/code&gt; is still hard to avoid today, and the reason is simple: it is everywhere.&lt;/p&gt;
&lt;p&gt;Whether you look at legacy company projects, online tutorials, shared examples, or older codebases, a huge amount of embedded work is still organized around &lt;code&gt;Keil&lt;/code&gt;. Its build, download, and debug workflow remains mature, and if your main goal is to get code running on a board, it is still a very short path.&lt;/p&gt;
&lt;p&gt;Its problems are just as obvious:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;dated interface&lt;/li&gt;
&lt;li&gt;average editing experience&lt;/li&gt;
&lt;li&gt;not a natural home for AI-assisted coding&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So &lt;code&gt;Keil&lt;/code&gt; feels more like a project entry point and debugging foundation than an ideal editor for a 2026 coding experience.&lt;/p&gt;
&lt;h2 id=&#34;stm32cubeide-friendly-for-stm32-but-more-of-a-learning-and-quick-start-tool&#34;&gt;STM32CubeIDE: friendly for STM32, but more of a learning and quick-start tool
&lt;/h2&gt;&lt;p&gt;If you mainly live inside the &lt;code&gt;STM32&lt;/code&gt; ecosystem, &lt;code&gt;STM32CubeIDE&lt;/code&gt; is often the first environment you touch.&lt;/p&gt;
&lt;p&gt;Its strengths are straightforward:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;beginner-friendly onboarding&lt;/li&gt;
&lt;li&gt;convenient peripheral configuration and project generation&lt;/li&gt;
&lt;li&gt;a fairly complete debug chain&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For students, beginners, and early project setup, that experience is direct and good enough.&lt;/p&gt;
&lt;p&gt;But once you move into longer-running projects, heavier collaboration, and more customized workflows, its limitations become more visible. In commercial work or more complex team environments, it may not be the most comfortable primary environment.&lt;/p&gt;
&lt;p&gt;So it fits better as a quick-start and STM32-centric all-in-one tool than as a long-term primary editor.&lt;/p&gt;
&lt;h2 id=&#34;vs-code-not-really-an-ide-but-increasingly-strong-in-the-ai-era&#34;&gt;VS Code: not really an IDE, but increasingly strong in the AI era
&lt;/h2&gt;&lt;p&gt;Strictly speaking, &lt;code&gt;VS Code&lt;/code&gt; is not a traditional IDE. More accurately, it is an extensible code editor.&lt;/p&gt;
&lt;p&gt;That gives it a built-in dual nature.&lt;/p&gt;
&lt;p&gt;Its weaknesses are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;it needs plugins and setup&lt;/li&gt;
&lt;li&gt;it is not beginner-friendly enough&lt;/li&gt;
&lt;li&gt;it cannot replace the full embedded IDE workflow out of the box&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;But its real strengths come from the same place:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;strong extensibility&lt;/li&gt;
&lt;li&gt;a much more modern coding experience&lt;/li&gt;
&lt;li&gt;better highlighting, navigation, search, and refactoring&lt;/li&gt;
&lt;li&gt;stronger momentum around AI tools and agent workflows&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;At this stage, many developers no longer just want something that lets them write code. They want to know whether AI collaboration can fit naturally into the same environment. From that perspective, the advantage of &lt;code&gt;VS Code&lt;/code&gt; is hard to miss.&lt;/p&gt;
&lt;h2 id=&#34;clion-good-experience-but-not-central-enough-in-embedded-practice&#34;&gt;CLion: good experience, but not central enough in embedded practice
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;CLion&lt;/code&gt; often comes up because its C/C++ coding experience has long been considered solid.&lt;/p&gt;
&lt;p&gt;But for many embedded developers, the question is not whether it is good. The question is whether it is worth switching to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;relatively fewer people use it in embedded workflows&lt;/li&gt;
&lt;li&gt;it does not connect to existing embedded project ecosystems as directly as &lt;code&gt;Keil&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;it may not offer a more practical AI-collaboration advantage than &lt;code&gt;VS Code&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So it feels more like a &amp;ldquo;theoretically good option&amp;rdquo; than the most natural center of a mainstream embedded workflow today.&lt;/p&gt;
&lt;h2 id=&#34;a-more-practical-answer-let-keil-handle-build-and-debugging-let-vs-code-handle-coding&#34;&gt;A more practical answer: let Keil handle build and debugging, let VS Code handle coding
&lt;/h2&gt;&lt;p&gt;If you break these tools apart by role, a much more pragmatic conclusion appears:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;use &lt;code&gt;Keil&lt;/code&gt; to preserve existing project compatibility, build, flashing, and debugging&lt;/li&gt;
&lt;li&gt;use &lt;code&gt;VS Code&lt;/code&gt; for everyday coding, search, navigation, and AI collaboration&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The value of this combination is that it does not try to force one tool to do everything. Instead, it puts each tool back in the role it is best at.&lt;/p&gt;
&lt;p&gt;For many embedded projects, the &lt;code&gt;Keil&lt;/code&gt; ecosystem is simply not optional. If that is true, then instead of forcing everything back into &lt;code&gt;Keil&lt;/code&gt;, it makes more sense to treat it as the backend build-and-debug entry point, while handing the real editing experience to &lt;code&gt;VS Code&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;&lt;img src=&#34;https://knightli.com/2026/04/22/embedded-development-environment-keil-vscode-ai-2026/keil-vscode-ai-workflow.svg&#34;
	
	
	
	loading=&#34;lazy&#34;
	
		alt=&#34;Workflow diagram for combining Keil and VS Code&#34;
	
	
&gt;&lt;/p&gt;
&lt;h2 id=&#34;why-this-combination-makes-more-sense-in-the-ai-era&#34;&gt;Why this combination makes more sense in the AI era
&lt;/h2&gt;&lt;p&gt;Today, the dividing line between environments is no longer just whether the editor feels smooth. It is whether AI can plug into the workflow naturally.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;VS Code&lt;/code&gt; has several very practical strengths here:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;more active support for AI plugins and agents&lt;/li&gt;
&lt;li&gt;a code browsing experience better suited for AI reading and modifying projects&lt;/li&gt;
&lt;li&gt;easier integration with modern plugin ecosystems&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That means some of the most painful parts of embedded development can start to be offloaded to AI:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;finding functions and call chains in an existing project&lt;/li&gt;
&lt;li&gt;quickly generating initialization code&lt;/li&gt;
&lt;li&gt;adding a simple UART print&lt;/li&gt;
&lt;li&gt;explaining the structure of old projects&lt;/li&gt;
&lt;li&gt;making small, localized edits in existing files&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;These tasks were never impossible before. They were just awkward. The meaning of &lt;code&gt;VS Code&lt;/code&gt; is not only that it looks better. It is that it can more naturally become the workbench for AI collaboration.&lt;/p&gt;
&lt;h2 id=&#34;the-key-patch-connect-vs-code-to-keil-projects-with-plugins&#34;&gt;The key patch: connect VS Code to Keil projects with plugins
&lt;/h2&gt;&lt;p&gt;Whether this workflow works in practice depends on one thing: can you actually connect &lt;code&gt;VS Code&lt;/code&gt; to a &lt;code&gt;Keil&lt;/code&gt; project?&lt;/p&gt;
&lt;p&gt;A very practical class of plugins does exactly that by letting &lt;code&gt;VS Code&lt;/code&gt; read &lt;code&gt;Keil&lt;/code&gt; project structure and call &lt;code&gt;Keil&lt;/code&gt; backend programs from inside the editor for tasks such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;opening a project&lt;/li&gt;
&lt;li&gt;building&lt;/li&gt;
&lt;li&gt;downloading&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That way, you do not have to constantly jump between two interfaces just to write code. You only return to &lt;code&gt;Keil&lt;/code&gt; for the heavier debugging work such as stepping, breakpoints, and register inspection.&lt;/p&gt;
&lt;p&gt;The real value of these plugins is not merely saving a few window switches. It is making the workflow continuous.&lt;/p&gt;
&lt;h2 id=&#34;do-not-overlook-the-basic-cc-plugin-setup&#34;&gt;Do not overlook the basic C/C++ plugin setup
&lt;/h2&gt;&lt;p&gt;If you want to use &lt;code&gt;VS Code&lt;/code&gt; as the main embedded editor, one basic but often ignored point is this: you must set up the core C/C++ plugin and project indexing properly.&lt;/p&gt;
&lt;p&gt;Otherwise, you will run into a series of issues that seriously hurt the experience:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;jump-to-definition does not work&lt;/li&gt;
&lt;li&gt;false red underlines appear&lt;/li&gt;
&lt;li&gt;completion quality is poor&lt;/li&gt;
&lt;li&gt;header relationships become messy&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Many people assume this means &lt;code&gt;VS Code&lt;/code&gt; is not suitable for embedded work. In practice, it is often just that the indexing and plugin configuration are not connected correctly.&lt;/p&gt;
&lt;p&gt;Once that layer is configured properly, &lt;code&gt;VS Code&lt;/code&gt; can actually deliver on its strengths in reading large projects, searching symbols, and using AI to assist with targeted code changes.&lt;/p&gt;
&lt;h2 id=&#34;who-this-workflow-fits-best&#34;&gt;Who this workflow fits best
&lt;/h2&gt;&lt;p&gt;I think this combination works especially well for the following groups.&lt;/p&gt;
&lt;h3 id=&#34;1-people-who-already-have-a-large-amount-of-keil-based-projects&#34;&gt;1. People who already have a large amount of Keil-based projects
&lt;/h3&gt;&lt;p&gt;If your company projects, course materials, or historical code all revolve around &lt;code&gt;Keil&lt;/code&gt;, there is no reason to throw that ecosystem away just for the sake of looking modern. Keep &lt;code&gt;Keil&lt;/code&gt;, then add &lt;code&gt;VS Code&lt;/code&gt; as the front end. That is usually the lowest-cost transition.&lt;/p&gt;
&lt;h3 id=&#34;2-people-who-want-ai-to-help-with-embedded-coding&#34;&gt;2. People who want AI to help with embedded coding
&lt;/h3&gt;&lt;p&gt;If you already like using AI to explain functions, generate boilerplate, or make local logic changes, &lt;code&gt;VS Code&lt;/code&gt; will take on that role more naturally than traditional embedded IDEs.&lt;/p&gt;
&lt;h3 id=&#34;3-people-who-want-to-balance-learning-materials-and-real-projects&#34;&gt;3. People who want to balance learning materials and real projects
&lt;/h3&gt;&lt;p&gt;Many tutorials are still built around &lt;code&gt;Keil&lt;/code&gt;, but your own workflow does not need to stay stuck in that era. Treat &lt;code&gt;Keil&lt;/code&gt; as the compatibility layer and &lt;code&gt;VS Code&lt;/code&gt; as the productivity layer, and the balance becomes much better.&lt;/p&gt;
&lt;h2 id=&#34;closing&#34;&gt;Closing
&lt;/h2&gt;&lt;p&gt;By 2026, the key question in embedded development environments is no longer just which IDE has more features. It is which combination best fits how people actually work today.&lt;/p&gt;
&lt;p&gt;If you only want to get started quickly, &lt;code&gt;STM32CubeIDE&lt;/code&gt; still has its place. If you need to inherit a large amount of existing engineering reality, &lt;code&gt;Keil&lt;/code&gt; is still unavoidable. But if you also want to bring in a modern editing experience and AI collaboration, the more practical answer is often this:&lt;/p&gt;
&lt;p&gt;let &lt;code&gt;Keil&lt;/code&gt; handle build and debugging, and let &lt;code&gt;VS Code&lt;/code&gt; handle writing code.&lt;/p&gt;
&lt;p&gt;It may not be the only answer, but it is very likely one of the least awkward answers available today.&lt;/p&gt;
</description>
        </item>
        <item>
        <title>Claude Code Multi-Agent Collaboration: How to Choose Between Subagents and Agent Teams</title>
        <link>https://knightli.com/en/2026/04/22/claude-code-subagents-vs-agent-teams/</link>
        <pubDate>Wed, 22 Apr 2026 21:35:52 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/22/claude-code-subagents-vs-agent-teams/</guid>
        <description>&lt;p&gt;When people talk about multi-agent collaboration in Claude Code, the easiest two concepts to mix up are &lt;code&gt;Subagents&lt;/code&gt; and &lt;code&gt;Agent Teams&lt;/code&gt;. They both sound like “spin up several agents to work together,” but they are meant for different kinds of work. In short, the former is better for splitting off independent tasks, while the latter is better when several agents need to collaborate around the same problem and cross-check each other over time.&lt;/p&gt;
&lt;p&gt;If you have used Skills before, this framing also helps:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;A Skill defines the workflow and rules&lt;/li&gt;
&lt;li&gt;A Subagent or Agent teammate does the actual execution&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So the real question is not which one is “more advanced,” but what kind of collaboration problem you are solving.&lt;/p&gt;
&lt;h2 id=&#34;subagents-split-off-side-tasks&#34;&gt;Subagents: split off side tasks
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Subagents&lt;/code&gt; are closer to temporary worker copies launched from the current session. Each one gets its own context window, and when it finishes, it returns only a summary of the result. The main conversation stays cleaner because it does not have to absorb all the intermediate logs and output.&lt;/p&gt;
&lt;p&gt;That gives Subagents a few very practical strengths:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The main thread stays clean instead of being flooded by test logs, search results, or long output&lt;/li&gt;
&lt;li&gt;Independent research or execution tasks can run in parallel&lt;/li&gt;
&lt;li&gt;They work well for tasks where “just bring me the result” is enough&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The original article notes that Claude Code comes with three built-in kinds of Subagents:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Explore&lt;/code&gt;: read-only, useful for quickly searching a codebase&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Plan&lt;/code&gt;: read-only, useful for gathering information in the background during plan mode&lt;/li&gt;
&lt;li&gt;&lt;code&gt;General-purpose&lt;/code&gt;: can read and write, suitable for tasks that mix exploration and editing&lt;/li&gt;
&lt;/ul&gt;
&lt;h3 id=&#34;custom-subagents&#34;&gt;Custom Subagents
&lt;/h3&gt;&lt;p&gt;If the built-in options are not enough, you can define your own Subagent. The mechanism is simple: write a Markdown file in one of these locations:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;.claude/agents/&lt;/code&gt;: only active in the current project&lt;/li&gt;
&lt;li&gt;&lt;code&gt;~/.claude/agents/&lt;/code&gt;: active across all your projects&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The file format looks like this:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt; 1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 8
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt; 9
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;10
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;11
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;12
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;13
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;14
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;15
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;16
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;17
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;18
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;19
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;20
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;21
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;22
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;23
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;24
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;25
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;26
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;27
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;28
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;29
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;30
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;31
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-markdown&#34; data-lang=&#34;markdown&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;---
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;name: code-reviewer
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;description: Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;tools: Read, Grep, Glob, Bash
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;model: inherit
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;---
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;You are a senior code reviewer ensuring high standards of code quality and security.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;When invoked:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;1.&lt;/span&gt; Run git diff to see recent changes
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;2.&lt;/span&gt; Focus on modified files
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;3.&lt;/span&gt; Begin review immediately
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Review checklist:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Code is clear and readable
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Functions and variables are well-named
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; No duplicated code
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Proper error handling
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; No exposed secrets or API keys
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Input validation implemented
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Good test coverage
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Performance considerations addressed
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Provide feedback organized by priority:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Critical issues (must fix)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Warnings (should fix)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; Suggestions (consider improving)
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Include specific examples of how to fix issues.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The key field here is &lt;code&gt;description&lt;/code&gt;. Claude uses it to decide when this Subagent should be called, so the more precise the description is, the more reliable the trigger tends to be.&lt;/p&gt;
&lt;p&gt;A few other common configuration fields are also worth knowing:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;tools&lt;/code&gt;: limits which tools the Subagent can use&lt;/li&gt;
&lt;li&gt;&lt;code&gt;model&lt;/code&gt;: chooses between &lt;code&gt;sonnet&lt;/code&gt;, &lt;code&gt;opus&lt;/code&gt;, &lt;code&gt;haiku&lt;/code&gt;, or &lt;code&gt;inherit&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;permissionMode&lt;/code&gt;: controls edit permissions and permission prompt behavior&lt;/li&gt;
&lt;li&gt;&lt;code&gt;memory&lt;/code&gt;: gives the Subagent a cross-conversation memory directory&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If you only need a Subagent temporarily, you can also define it through the CLI:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;6
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;7
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;8
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-bash&#34; data-lang=&#34;bash&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;claude --agents &lt;span class=&#34;s1&#34;&gt;&amp;#39;{
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;  &amp;#34;code-reviewer&amp;#34;: {
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;    &amp;#34;description&amp;#34;: &amp;#34;Expert code reviewer. Use proactively after code changes.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;    &amp;#34;prompt&amp;#34;: &amp;#34;You are a senior code reviewer. Focus on code quality, security, and best practices.&amp;#34;,
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;    &amp;#34;tools&amp;#34;: [&amp;#34;Read&amp;#34;, &amp;#34;Grep&amp;#34;, &amp;#34;Glob&amp;#34;, &amp;#34;Bash&amp;#34;],
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;    &amp;#34;model&amp;#34;: &amp;#34;sonnet&amp;#34;
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;  }
&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;s1&#34;&gt;}&amp;#39;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;when-subagents-fit-best&#34;&gt;When Subagents fit best
&lt;/h3&gt;&lt;p&gt;&lt;code&gt;Subagents&lt;/code&gt; are usually the best fit for tasks like these:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Running tests and returning only the failure summary instead of flooding the main thread with thousands of log lines&lt;/li&gt;
&lt;li&gt;Investigating several unrelated modules in parallel&lt;/li&gt;
&lt;li&gt;Splitting “find the issue” and “fix the issue” into a simple pipeline&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-md&#34; data-lang=&#34;md&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Research the authentication, database, and API modules in parallel using separate subagents
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-md&#34; data-lang=&#34;md&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Use the code-reviewer subagent to find performance issues, then use the optimizer subagent to fix them
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;But if a task needs constant back-and-forth adjustments, shares a lot of context across stages, or concentrates changes in only one or two files, handling it directly in the main conversation is often simpler than spinning up a Subagent.&lt;/p&gt;
&lt;h2 id=&#34;agent-teams-multiple-independent-sessions-working-together&#34;&gt;Agent Teams: multiple independent sessions working together
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Agent Teams&lt;/code&gt; operate at a different level. Instead of launching worker copies inside one session, they start multiple fully independent Claude Code instances that collaborate around a shared task list and can also message one another directly.&lt;/p&gt;
&lt;p&gt;That makes an Agent Team feel more like a real small team than a simple side-task worker setup.&lt;/p&gt;
&lt;p&gt;The article notes that this is currently an experimental feature and needs to be enabled first:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-json&#34; data-lang=&#34;json&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;nt&#34;&gt;&amp;#34;env&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;p&#34;&gt;{&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;        &lt;span class=&#34;nt&#34;&gt;&amp;#34;CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS&amp;#34;&lt;/span&gt;&lt;span class=&#34;p&#34;&gt;:&lt;/span&gt; &lt;span class=&#34;s2&#34;&gt;&amp;#34;1&amp;#34;&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;    &lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;p&#34;&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;Once this is added to &lt;code&gt;settings.json&lt;/code&gt;, you can ask Claude to organize a team around a specific goal. For example:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-md&#34; data-lang=&#34;md&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;I&amp;#39;m designing a CLI tool that helps developers track TODO comments across
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;their codebase. Create an agent team to explore this from different angles: one
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;teammate on UX, one on technical architecture, one playing devil&amp;#39;s advocate.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;h3 id=&#34;what-an-agent-team-consists-of&#34;&gt;What an Agent Team consists of
&lt;/h3&gt;&lt;p&gt;An Agent Team mainly includes three parts:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Team lead: the main session you are using, responsible for organizing, assigning, and summarizing&lt;/li&gt;
&lt;li&gt;Teammates: multiple independent Claude Code instances&lt;/li&gt;
&lt;li&gt;Task list and Mailbox: the shared task list and communication channel&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The biggest difference from &lt;code&gt;Subagents&lt;/code&gt; is that teammates can communicate directly with one another instead of routing everything through the lead. Tasks usually move through states such as &lt;code&gt;pending&lt;/code&gt;, &lt;code&gt;in progress&lt;/code&gt;, and &lt;code&gt;completed&lt;/code&gt;, and once a teammate finishes one task, it can pick up the next one.&lt;/p&gt;
&lt;h3 id=&#34;when-agent-teams-fit-best&#34;&gt;When Agent Teams fit best
&lt;/h3&gt;&lt;p&gt;When a task needs several perspectives, active discussion, conflicting hypotheses, or parallel work across modules, &lt;code&gt;Agent Teams&lt;/code&gt; are a better fit.&lt;/p&gt;
&lt;p&gt;The article gives several representative examples:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Several reviewers inspect the same PR in parallel, each focusing on a different dimension&lt;/li&gt;
&lt;li&gt;Multiple agents investigate the same bug with competing explanations and challenge each other’s conclusions&lt;/li&gt;
&lt;li&gt;Frontend, backend, and testing move forward in parallel on different parts of the project&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For example, parallel code review:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;5
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-md&#34; data-lang=&#34;md&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Create an agent team to review PR &lt;span class=&#34;ni&#34;&gt;#142&lt;/span&gt;. Spawn three reviewers:
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; One focused on security implications
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; One checking performance impact
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;&lt;span class=&#34;k&#34;&gt;-&lt;/span&gt; One validating test coverage
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Have them each review and report findings.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;And for debate-style debugging:&lt;/p&gt;
&lt;div class=&#34;highlight&#34;&gt;&lt;div class=&#34;chroma&#34;&gt;
&lt;table class=&#34;lntable&#34;&gt;&lt;tr&gt;&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code&gt;&lt;span class=&#34;lnt&#34;&gt;1
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;2
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;3
&lt;/span&gt;&lt;span class=&#34;lnt&#34;&gt;4
&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;
&lt;td class=&#34;lntd&#34;&gt;
&lt;pre tabindex=&#34;0&#34; class=&#34;chroma&#34;&gt;&lt;code class=&#34;language-md&#34; data-lang=&#34;md&#34;&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Users report the app exits after one message instead of staying connected.
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;Spawn 5 agent teammates to investigate different hypotheses. Have them talk to
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;each other to try to disprove each other&amp;#39;s theories, like a scientific
&lt;/span&gt;&lt;/span&gt;&lt;span class=&#34;line&#34;&gt;&lt;span class=&#34;cl&#34;&gt;debate. Update the findings doc with whatever consensus emerges.
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;
&lt;/div&gt;
&lt;/div&gt;&lt;p&gt;The common pattern here is that you do not just want one answer. You want several agents to exchange judgments, challenge assumptions, and gradually converge on a stronger conclusion.&lt;/p&gt;
&lt;h2 id=&#34;how-to-choose-between-them&#34;&gt;How to choose between them
&lt;/h2&gt;&lt;p&gt;If you want a quick rule of thumb, use this:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;If you just need the result, use &lt;code&gt;Subagents&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;If the work requires discussion and cross-validation, use &lt;code&gt;Agent Teams&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Expanded a bit further, the main differences are:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Communication style: &lt;code&gt;Subagents&lt;/code&gt; mainly report results back to the main session, while &lt;code&gt;Agent Teams&lt;/code&gt; members can talk directly to one another&lt;/li&gt;
&lt;li&gt;Coordination model: &lt;code&gt;Subagents&lt;/code&gt; depend more on the main conversation to orchestrate them, while &lt;code&gt;Agent Teams&lt;/code&gt; work from a shared task list that members can claim themselves&lt;/li&gt;
&lt;li&gt;Token cost: &lt;code&gt;Subagents&lt;/code&gt; are cheaper, while &lt;code&gt;Agent Teams&lt;/code&gt; cost more because each teammate is an independent instance&lt;/li&gt;
&lt;li&gt;Best-fit tasks: &lt;code&gt;Subagents&lt;/code&gt; are better for independent, result-oriented work, while &lt;code&gt;Agent Teams&lt;/code&gt; are better for discussion-heavy and cross-check-heavy work&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;practical-cautions&#34;&gt;Practical cautions
&lt;/h2&gt;&lt;p&gt;&lt;code&gt;Agent Teams&lt;/code&gt; are more powerful, but that does not mean every task deserves a full team. The article specifically calls out a few practical concerns:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;token usage is noticeably higher&lt;/li&gt;
&lt;li&gt;if multiple teammates edit the same file at once, overwrite conflicts become very likely&lt;/li&gt;
&lt;li&gt;adding too many teammates increases coordination cost without guaranteeing better results&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;A safer default is usually:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;start with 3 to 5 teammates&lt;/li&gt;
&lt;li&gt;split tasks by module or file to avoid edit conflicts&lt;/li&gt;
&lt;li&gt;if the lead starts doing teammate work too early, explicitly tell it to wait for the others first&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The current experimental version also has a few limitations, such as:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;no support for &lt;code&gt;/resume&lt;/code&gt; and &lt;code&gt;/rewind&lt;/code&gt; for in-process teammates&lt;/li&gt;
&lt;li&gt;task status can lag and sometimes needs manual correction&lt;/li&gt;
&lt;li&gt;one lead can manage only one team at a time&lt;/li&gt;
&lt;li&gt;teammates cannot spawn child teams of their own&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;short-conclusion&#34;&gt;Short conclusion
&lt;/h2&gt;&lt;p&gt;These two features are not substitutes for one another. They solve two different collaboration problems.&lt;/p&gt;
&lt;p&gt;If your goal is “parallelize side tasks and keep the main context clean,” start with &lt;code&gt;Subagents&lt;/code&gt;. If your goal is “let several agents work like a small team, discuss, and cross-check each other,” then &lt;code&gt;Agent Teams&lt;/code&gt; are the better tool.&lt;/p&gt;
&lt;p&gt;Trying both in a real task usually makes the distinction obvious very quickly: one is optimized for context isolation and result collection, and the other is optimized for multi-perspective collaboration and ongoing interaction.&lt;/p&gt;
&lt;h2 id=&#34;related-links&#34;&gt;Related links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;Original article: &lt;a class=&#34;link&#34; href=&#34;https://cloud.tencent.com/developer/article/2652960&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://cloud.tencent.com/developer/article/2652960&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>GPT Image 2 Officially Launches: From Generating Images to Commercial Use</title>
        <link>https://knightli.com/en/2026/04/22/gpt-image-2-from-generation-to-commercial-use/</link>
        <pubDate>Wed, 22 Apr 2026 20:08:22 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/22/gpt-image-2-from-generation-to-commercial-use/</guid>
        <description>&lt;p&gt;OpenAI&amp;rsquo;s next-generation image model, &lt;code&gt;GPT Image 2&lt;/code&gt;, has officially rolled out to ChatGPT users. Based on community feedback from the leaked testing phase and the public examples now visible, this release feels less like a routine model update and more like a meaningful step in AI image generation moving from &amp;ldquo;looks usable&amp;rdquo; to &amp;ldquo;is usable.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;If earlier image models were still mainly for inspiration boards, concept art, and playful experimentation, the most notable thing about &lt;code&gt;GPT Image 2&lt;/code&gt; is that it is starting to feel closer to a production-grade tool. Whether the task is readable text, UI screenshots, marketing posters, or more realistic commercial-photography-style images, it feels much closer than before to something you can actually use directly.&lt;/p&gt;
&lt;h2 id=&#34;1-core-upgrades-five-things-most-worth-watching&#34;&gt;1. Core upgrades: five things most worth watching
&lt;/h2&gt;&lt;h3 id=&#34;1-text-rendering-has-finally-entered-a-usable-range&#34;&gt;1. Text rendering has finally entered a usable range
&lt;/h3&gt;&lt;p&gt;For AI image generation, text has always been one of the hardest problems. Garbled characters, spelling mistakes, broken long passages, and distorted type have been common across nearly every model.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT Image 2&lt;/code&gt; shows a very visible improvement here. It can handle clearer English and Chinese text, but it can also deal with more complex layout, longer paragraphs, and a certain amount of multilingual composition. That means many scenarios that previously required manual retouching can now be completed directly at generation time.&lt;/p&gt;
&lt;p&gt;Typical use cases include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;posters&lt;/li&gt;
&lt;li&gt;social media covers&lt;/li&gt;
&lt;li&gt;promotional pages with headlines and explanatory text&lt;/li&gt;
&lt;li&gt;PPT visuals&lt;/li&gt;
&lt;li&gt;App screenshots with real copy and interface elements&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For real workflows, this is a major step. Once text becomes stably readable, image generation stops being just &amp;ldquo;make me a background image&amp;rdquo; and starts becoming capable of handling marketing assets and product visuals.&lt;/p&gt;
&lt;h3 id=&#34;2-photorealism-is-noticeably-better&#34;&gt;2. Photorealism is noticeably better
&lt;/h3&gt;&lt;p&gt;Looking at community side-by-side comparisons, &lt;code&gt;GPT Image 2&lt;/code&gt; appears sharper overall, with finer material textures and more consistent lighting. Faces, hands, and edge details, which used to expose AI artifacts most easily, now look much more stable.&lt;/p&gt;
&lt;p&gt;More precisely, this does not mean flaws are gone. It means the obvious &amp;ldquo;AI look&amp;rdquo; has dropped significantly. Many images now look convincing enough at first glance to be mistaken for real photos, commercial photography samples, or game screenshots.&lt;/p&gt;
&lt;p&gt;That is why many people&amp;rsquo;s first reaction is no longer &amp;ldquo;this is drawn well,&amp;rdquo; but &amp;ldquo;this already looks real.&amp;rdquo;&lt;/p&gt;
&lt;h3 id=&#34;3-stronger-integration-of-world-knowledge&#34;&gt;3. Stronger integration of world knowledge
&lt;/h3&gt;&lt;p&gt;This upgrade is less eye-catching, but very practical.&lt;/p&gt;
&lt;p&gt;&lt;code&gt;GPT Image 2&lt;/code&gt; feels less like a system that simply assembles visual fragments and styles, and more like a system that understands what it is depicting. A few examples mentioned in the source article are representative:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;watch dials show more logically consistent times&lt;/li&gt;
&lt;li&gt;brand details and character traits are reproduced more accurately&lt;/li&gt;
&lt;li&gt;Minecraft-style game screenshots or software interfaces follow more believable structural logic&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;That means when it handles real-world objects, digital interfaces, or game scenes that depend on common sense and structural coherence, the success rate is higher. For users, that kind of improvement is often more valuable than a simple resolution bump.&lt;/p&gt;
&lt;h3 id=&#34;4-ui-and-screenshot-generation-are-very-strong&#34;&gt;4. UI and screenshot generation are very strong
&lt;/h3&gt;&lt;p&gt;From the leak period to the official release, one of the most talked-about directions for &lt;code&gt;GPT Image 2&lt;/code&gt; has been generating software interfaces, web screenshots, and App mockups.&lt;/p&gt;
&lt;p&gt;These tasks used to be difficult because they require all of the following at once:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;clear text&lt;/li&gt;
&lt;li&gt;orderly layout&lt;/li&gt;
&lt;li&gt;alignment across buttons, cards, navigation bars, and similar elements&lt;/li&gt;
&lt;li&gt;color and hierarchy that feel like a real product&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This time, the model&amp;rsquo;s performance in those areas already looks fairly mature. For product managers, indie developers, and designers, that means faster creation of high-fidelity mockups for proposals, demos, and even user testing.&lt;/p&gt;
&lt;h3 id=&#34;5-local-editing-is-closer-to-a-real-workflow&#34;&gt;5. Local editing is closer to a real workflow
&lt;/h3&gt;&lt;p&gt;Based on the source article, &lt;code&gt;GPT Image 2&lt;/code&gt; supports more precise localized editing, meaning it can modify a specific area of an image instead of forcing a full redraw every time.&lt;/p&gt;
&lt;p&gt;That matters a lot for creative workflows. In real design work, the task is often not &amp;ldquo;redo the whole image&amp;rdquo; but:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;change one button&lt;/li&gt;
&lt;li&gt;replace one block of text&lt;/li&gt;
&lt;li&gt;move one object&lt;/li&gt;
&lt;li&gt;fix part of the background&lt;/li&gt;
&lt;li&gt;swap a local element&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If localized editing becomes stable enough, the value of AI image generation is no longer limited to the first draft. It can start participating in real iterative work.&lt;/p&gt;
&lt;h2 id=&#34;2-how-to-use-gpt-image-2&#34;&gt;2. How to use GPT Image 2
&lt;/h2&gt;&lt;h3 id=&#34;use-it-in-chatgpt&#34;&gt;Use it in ChatGPT
&lt;/h3&gt;&lt;p&gt;At the moment, &lt;code&gt;GPT Image 2&lt;/code&gt; is already integrated into ChatGPT, so regular users can access it directly through the image-generation feature.&lt;/p&gt;
&lt;p&gt;A typical workflow looks like this:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Open ChatGPT on the web or in the app&lt;/li&gt;
&lt;li&gt;Click &lt;code&gt;+&lt;/code&gt; in the input box&lt;/li&gt;
&lt;li&gt;Choose &amp;ldquo;Create image&amp;rdquo;&lt;/li&gt;
&lt;li&gt;Enter your prompt and submit&lt;/li&gt;
&lt;li&gt;The system calls &lt;code&gt;GPT Image 2&lt;/code&gt; and returns the result&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The source article also notes that different subscription tiers have different quotas, so free users and &lt;code&gt;Plus&lt;/code&gt; / &lt;code&gt;Pro&lt;/code&gt; users may have different generation limits. The exact quota rules should be checked against whatever ChatGPT shows in-product at that time, since those limits may change later.&lt;/p&gt;
&lt;h3 id=&#34;use-it-through-the-api&#34;&gt;Use it through the API
&lt;/h3&gt;&lt;p&gt;For developers, the image model can also be accessed through the OpenAI API. The source article refers to the model name as &lt;code&gt;gpt-image-2&lt;/code&gt;, but in real integrations it is still best to follow the latest official documentation for the current model name and parameters.&lt;/p&gt;
&lt;p&gt;The article lists several common resolutions:&lt;/p&gt;
&lt;table&gt;
  &lt;thead&gt;
      &lt;tr&gt;
          &lt;th&gt;Resolution&lt;/th&gt;
          &lt;th&gt;Typical use case&lt;/th&gt;
      &lt;/tr&gt;
  &lt;/thead&gt;
  &lt;tbody&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;1024×1024&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;General square images, avatars, social media graphics&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;1536×1024&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Landscape covers, slides, widescreen wallpapers&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;1024×1536&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;Vertical posters, phone wallpapers, story illustrations&lt;/td&gt;
      &lt;/tr&gt;
      &lt;tr&gt;
          &lt;td&gt;&lt;code&gt;2048×2048&lt;/code&gt;&lt;/td&gt;
          &lt;td&gt;High-resolution print, large-format display, detailed illustration&lt;/td&gt;
      &lt;/tr&gt;
  &lt;/tbody&gt;
&lt;/table&gt;
&lt;h2 id=&#34;3-several-representative-use-cases&#34;&gt;3. Several representative use cases
&lt;/h2&gt;&lt;p&gt;The source article mentions many examples. Here are the most representative categories.&lt;/p&gt;
&lt;h3 id=&#34;1-app-interface-screenshots&#34;&gt;1. App interface screenshots
&lt;/h3&gt;&lt;p&gt;This kind of prompt is especially suitable for product prototypes, design demos, and requirement discussions.&lt;/p&gt;
&lt;p&gt;Typical characteristics include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;specifying a platform style such as iOS&lt;/li&gt;
&lt;li&gt;clearly describing the page structure&lt;/li&gt;
&lt;li&gt;listing the core data cards&lt;/li&gt;
&lt;li&gt;defining the bottom navigation&lt;/li&gt;
&lt;li&gt;explaining the color scheme and typography style&lt;/li&gt;
&lt;li&gt;emphasizing that text must be clear and elements must align&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The point of writing prompts this way is not simply to make the image attractive. It is to reduce the model&amp;rsquo;s room for improvisation and make the output look more like a real interface.&lt;/p&gt;
&lt;h3 id=&#34;2-e-commerce-product-images&#34;&gt;2. E-commerce product images
&lt;/h3&gt;&lt;p&gt;Images for products such as perfume, earphones, watches, and cosmetics are a strong fit for &lt;code&gt;GPT Image 2&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;That is because it is now more stable at handling:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;the material feel of glass, metal, and liquids&lt;/li&gt;
&lt;li&gt;soft shadows and reflections&lt;/li&gt;
&lt;li&gt;the lighting logic common in commercial photography&lt;/li&gt;
&lt;li&gt;a premium presentation against a clean background&lt;/li&gt;
&lt;li&gt;small amounts of brand text&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;If the output is stable, many e-commerce detail images, hero images for marketing pages, and product visuals for social media can be produced with much lower trial-and-error cost.&lt;/p&gt;
&lt;h3 id=&#34;3-text-heavy-posters&#34;&gt;3. Text-heavy posters
&lt;/h3&gt;&lt;p&gt;Posters are one of the clearest scenarios for showing off this generation&amp;rsquo;s text capabilities.&lt;/p&gt;
&lt;p&gt;The source article gives a typical direction: place a clear main headline, time and location, and artist list over a dusk city silhouette background, while requiring:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;crisp readable text&lt;/li&gt;
&lt;li&gt;no spelling mistakes&lt;/li&gt;
&lt;li&gt;stable Chinese-English mixed layout&lt;/li&gt;
&lt;li&gt;a unified style&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Tasks like this used to require generating the background first and then manually adding text. If the model can now complete most of that work in one pass, its practical value rises substantially.&lt;/p&gt;
&lt;h3 id=&#34;4-game-concept-art-and-fake-screenshots&#34;&gt;4. Game concept art and &amp;ldquo;fake screenshots&amp;rdquo;
&lt;/h3&gt;&lt;p&gt;This is one of the types of content most likely to spread on social media when made with &lt;code&gt;GPT Image 2&lt;/code&gt;.&lt;/p&gt;
&lt;p&gt;For example, third-person game screenshots, neon-lit streets, reflections in rainwater, depth of field, film grain, and a PS5 gameplay look can be combined into prompts that produce images people may mistake at first glance for leaked game footage.&lt;/p&gt;
&lt;p&gt;From a distribution perspective, these images are highly attention-grabbing. From a risk perspective, they also show that the threshold for convincing fake imagery has dropped noticeably, so users need to be more cautious when judging whether an image is real.&lt;/p&gt;
&lt;h3 id=&#34;5-realistic-portraits-and-creative-character-shots&#34;&gt;5. Realistic portraits and creative character shots
&lt;/h3&gt;&lt;p&gt;Portraits have always been one of the most direct tests of AI image capability.&lt;/p&gt;
&lt;p&gt;The examples in the source article focus on combinations such as natural light, cafes, rim lighting, knitwear, and warm blurred backgrounds. The real point behind those examples is:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;natural skin texture&lt;/li&gt;
&lt;li&gt;complete hair detail&lt;/li&gt;
&lt;li&gt;hands that do not collapse structurally&lt;/li&gt;
&lt;li&gt;believable lighting logic&lt;/li&gt;
&lt;li&gt;an overall atmosphere without obvious AI artifacts&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Only when those points can be handled consistently does portrait generation truly enter a usable stage.&lt;/p&gt;
&lt;h3 id=&#34;6-food-photography&#34;&gt;6. Food photography
&lt;/h3&gt;&lt;p&gt;The source article also includes a very long English prompt for generating a tonkotsu ramen photo in a high-end restaurant style. That example shows a very practical trend: once a model becomes strong enough, prompts can start to read like photography scripts.&lt;/p&gt;
&lt;p&gt;This style of prompt can get specific about:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;dish composition&lt;/li&gt;
&lt;li&gt;tableware material&lt;/li&gt;
&lt;li&gt;broth sheen&lt;/li&gt;
&lt;li&gt;the fat layers and charred edges of chashu&lt;/li&gt;
&lt;li&gt;the state of the soft-boiled egg&lt;/li&gt;
&lt;li&gt;depth of field and bokeh in the background&lt;/li&gt;
&lt;li&gt;light direction&lt;/li&gt;
&lt;li&gt;lens type and aperture&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;For restaurant brands, menu design, delivery-platform hero images, and social media content, that kind of generation is already getting very close to a substitute for commercial food photography.&lt;/p&gt;
&lt;h3 id=&#34;7-educational-illustrations&#34;&gt;7. Educational illustrations
&lt;/h3&gt;&lt;p&gt;Another representative direction is scientific and educational diagrams with labels.&lt;/p&gt;
&lt;p&gt;The source article uses a plant cell cross-section as an example and asks the model to handle all of the following at once:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;correct structure&lt;/li&gt;
&lt;li&gt;accurate label placement&lt;/li&gt;
&lt;li&gt;clear guide lines&lt;/li&gt;
&lt;li&gt;consistent typography&lt;/li&gt;
&lt;li&gt;layered color usage&lt;/li&gt;
&lt;li&gt;an overall style suitable for textbooks or teaching slides&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This shows that the value of &lt;code&gt;GPT Image 2&lt;/code&gt; is not only in producing &amp;ldquo;good-looking&amp;rdquo; images, but also in producing informational visuals.&lt;/p&gt;
&lt;h2 id=&#34;4-what-this-means-most-practically-for-ordinary-users&#34;&gt;4. What this means most practically for ordinary users
&lt;/h2&gt;&lt;p&gt;What makes &lt;code&gt;GPT Image 2&lt;/code&gt; worth paying attention to is not just that it pushes image quality forward again. More importantly, it moves AI image generation further away from entertainment and experimentation and closer to a tool that can be used commercially and delivered as real work.&lt;/p&gt;
&lt;p&gt;That shows up in several ways:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;text is finally becoming dependable&lt;/li&gt;
&lt;li&gt;interfaces and posters look more like real materials&lt;/li&gt;
&lt;li&gt;commercial-photography-style images are more usable&lt;/li&gt;
&lt;li&gt;educational and informational graphics are now possible too&lt;/li&gt;
&lt;li&gt;localized editing makes iteration more realistic&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Of course, that does not mean it fully replaces designers, photographers, or illustrators. Real commercial projects still require aesthetic judgment, brand control, copyright awareness, and human review.&lt;/p&gt;
&lt;p&gt;But at minimum, this update makes one thing clear: the competition in AI image generation is no longer just about whether a model can produce an image at all. It is about whether that model can enter real workflows more reliably.&lt;/p&gt;
&lt;h2 id=&#34;related-links&#34;&gt;Related links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;Reference link mentioned in the source article: &lt;a class=&#34;link&#34; href=&#34;https://getgpt.pro/blog/gpt-image-2-release&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://getgpt.pro/blog/gpt-image-2-release&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Demo site mentioned in the source article: &lt;a class=&#34;link&#34; href=&#34;https://getgpt.pro&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://getgpt.pro&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Invite link mentioned in the source article: &lt;a class=&#34;link&#34; href=&#34;https://getgpt.pro/i/ig2&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://getgpt.pro/i/ig2&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>OpenAI Introduces ChatGPT Images 2.0: Image Generation Starts Moving Toward Deliverable Output</title>
        <link>https://knightli.com/en/2026/04/22/openai-chatgpt-images-2-0-deliverable-image-generation/</link>
        <pubDate>Wed, 22 Apr 2026 14:21:45 +0800</pubDate>
        
        <guid>https://knightli.com/en/2026/04/22/openai-chatgpt-images-2-0-deliverable-image-generation/</guid>
        <description>&lt;p&gt;OpenAI published &lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/introducing-chatgpt-images-2-0/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Introducing ChatGPT Images 2.0&lt;/a&gt; on April 21, 2026. Judging from the announcement page, the main point is not simply that the images look better. The bigger message is that image generation is moving toward something more controllable, more layout-aware, and more directly usable.&lt;/p&gt;
&lt;p&gt;If you look only at this launch page, it reads more like a dense capability showcase than a traditional technical announcement. There is very little about model architecture, training details, or benchmarks. Instead, OpenAI uses a large set of examples to answer a more practical question: can ChatGPT now handle more of the work that previously required repeated manual fixes for text, layout, and final polish?&lt;/p&gt;
&lt;h2 id=&#34;01-the-clearest-signals-in-this-release&#34;&gt;01 The clearest signals in this release
&lt;/h2&gt;&lt;p&gt;The most prominent phrases on the page already summarize the focus:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;code&gt;Greater precision and control&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Stronger across languages&lt;/code&gt;&lt;/li&gt;
&lt;li&gt;&lt;code&gt;Stylistic sophistication and realism&lt;/code&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Taken together, those three ideas say a lot.&lt;/p&gt;
&lt;p&gt;First, the emphasis is shifting away from imagination alone and toward control. The page includes many examples such as posters, magazine spreads, promo pages, infographics, character sheets, comic pages, and print-ready bookmark designs. What these examples share is not just visual appeal. They require text handling, hierarchy, whitespace, composition, stylistic consistency, and format control at the same time. That suggests OpenAI is intentionally pushing the product from &amp;ldquo;generate an image&amp;rdquo; toward &amp;ldquo;generate a visual asset people can actually use.&amp;rdquo;&lt;/p&gt;
&lt;p&gt;Second, multilingual text rendering is being treated as a headline feature. The page includes multilingual posters, book covers, a Korean hospitality campaign, Japanese manga, and several typography-focused examples. That matters because one of the most persistent weak points in image models has been long text, complex layouts, and non-English scripts. OpenAI putting this front and center is itself a signal: text rendering and cross-language layout are now capabilities it believes are worth showcasing directly.&lt;/p&gt;
&lt;p&gt;Third, the stylistic range is very broad. The examples span photorealistic images, retro collage posters, Bauhaus-inspired graphics, fashion editorials, black-and-white documentary styles, children&amp;rsquo;s-book illustrations, manga, educational infographics, product grids, and character reference sheets. The message is not only that the model can imitate many visual styles. It is that the system is trying to adapt to a wider set of real visual tasks.&lt;/p&gt;
&lt;h2 id=&#34;02-why-this-looks-like-a-move-toward-deliverable-output&#34;&gt;02 Why this looks like a move toward deliverable output
&lt;/h2&gt;&lt;p&gt;From the announcement itself, ChatGPT Images 2.0 looks less like a stronger text-to-image model and more like an upgraded visual production tool.&lt;/p&gt;
&lt;p&gt;Earlier models could produce impressive pictures, but the experience often broke down when the task changed into things like these:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;creating a poster with a full headline, subtitle, and supporting copy&lt;/li&gt;
&lt;li&gt;building a magazine or promo page with dense information&lt;/li&gt;
&lt;li&gt;generating a comic page with continuity across characters and panels&lt;/li&gt;
&lt;li&gt;producing marketing assets with fixed aspect ratios, clear layout constraints, and brand tone&lt;/li&gt;
&lt;li&gt;creating polished visual content that includes multilingual text&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;This release seems designed to answer those older limitations directly.&lt;/p&gt;
&lt;p&gt;The page includes educational infographics, design-trend posters, print-ready bookmark layouts, a cafe launch poster, tourism promo material, product-merch mockups, and a redesigned academic poster. These are not just images that look nice at a glance. They are much closer to semi-finished or even finished outputs from real creative workflows.&lt;/p&gt;
&lt;p&gt;In that sense, the most important change here may not be a simple increase in image quality. It may be that the model is starting to look more like a system for content production, brand materials, education, and lightweight design work.&lt;/p&gt;
&lt;h2 id=&#34;03-what-this-means-for-chatgpts-product-direction&#34;&gt;03 What this means for ChatGPT&amp;rsquo;s product direction
&lt;/h2&gt;&lt;p&gt;The structure of the announcement also hints at a broader product shift.&lt;/p&gt;
&lt;p&gt;OpenAI does not present ChatGPT Images 2.0 as a niche tool only for artists or visual creators. Instead, it repeatedly frames the feature through research, reasoning, source transformation, layout organization, knowledge communication, and marketing output. The page even includes examples built around math proofs, design trends, historical notes, and academic papers.&lt;/p&gt;
&lt;p&gt;That suggests image generation inside ChatGPT is no longer just about adding a picture to a chat or generating a single illustration. It is moving closer to being a general-purpose expression layer. The goal seems to be this: once a user has already researched, thought through, organized, and written something in ChatGPT, the system should also be able to handle the final visual output.&lt;/p&gt;
&lt;p&gt;If that direction continues, competition in image generation will rely less on pure aesthetics or realism alone and more on capabilities like these:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;whether the system can reliably handle complex text&lt;/li&gt;
&lt;li&gt;whether it can preserve consistency across pages or panels&lt;/li&gt;
&lt;li&gt;whether it can produce layouts closer to real working materials&lt;/li&gt;
&lt;li&gt;whether it can connect naturally to research, writing, marketing, and teaching workflows&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;04-what-the-announcement-does-not-say&#34;&gt;04 What the announcement does not say
&lt;/h2&gt;&lt;p&gt;At the same time, the format of the page also makes its limits clear.&lt;/p&gt;
&lt;p&gt;As of the official page published on April 21, 2026, the announcement focuses much more on outputs than on methods. It does not go into detail about:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;quantified improvements over the previous generation&lt;/li&gt;
&lt;li&gt;explicit metrics for text accuracy or multilingual rendering&lt;/li&gt;
&lt;li&gt;failure boundaries for complex layout tasks&lt;/li&gt;
&lt;li&gt;API details, pricing, access modes, or enterprise integration specifics&lt;/li&gt;
&lt;li&gt;concrete changes to safety policies or generation limits&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;So the page is best read as a product signal rather than a full technical specification.&lt;/p&gt;
&lt;h2 id=&#34;05-short-conclusion&#34;&gt;05 Short conclusion
&lt;/h2&gt;&lt;p&gt;If I had to summarize ChatGPT Images 2.0 in one sentence, the key upgrade is not that it &amp;ldquo;draws better,&amp;rdquo; but that it is becoming better at producing finished work.&lt;/p&gt;
&lt;p&gt;OpenAI clearly wants image generation to evolve from an inspiration tool into a production tool that is more executable, more layout-aware, more communicative, and more directly usable. Text control, multilingual output, layout structure, stylistic range, and long-form visual organization used to be places where image models often showed their weaknesses. In this release, those same areas are being presented as selling points.&lt;/p&gt;
&lt;p&gt;That does not mean image generation has solved every design problem. But this announcement does suggest a shift in what matters. The next competitive edge may not come from who can generate the most striking single image. It may come from who can most reliably generate visual content that is actually ready to use.&lt;/p&gt;
&lt;h2 id=&#34;related-links&#34;&gt;Related Links
&lt;/h2&gt;&lt;ul&gt;
&lt;li&gt;&lt;a class=&#34;link&#34; href=&#34;https://openai.com/index/introducing-chatgpt-images-2-0/&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;Introducing ChatGPT Images 2.0 - OpenAI&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        <item>
        <title>LLM API Landscape (Free and Cost-Effective Options)</title>
        <link>https://knightli.com/en/2026/02/12/llm-api-landscape-free-and-cost-effective/</link>
        <pubDate>Thu, 12 Feb 2026 00:00:00 +0000</pubDate>
        
        <guid>https://knightli.com/en/2026/02/12/llm-api-landscape-free-and-cost-effective/</guid>
        <description>&lt;h2 id=&#34;google-gemini-api-best-free-tier&#34;&gt;Google Gemini API (Best Free Tier)
&lt;/h2&gt;&lt;p&gt;To promote the Gemini lineup, Google currently provides one of the most generous free quotas.
Pricing/details: &lt;a class=&#34;link&#34; href=&#34;https://ai.google.dev/gemini-api/docs/pricing?hl=zh-cn&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://ai.google.dev/gemini-api/docs/pricing?hl=zh-cn&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Models: Gemini 3 Flash Preview, Gemini 2.5 Pro (as of 2026-02-12).
In general, the newest top-end Pro model may have tighter free limits, while many other models still provide free usage.&lt;/p&gt;
&lt;p&gt;Pros:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Even top-tier models may include free quota.&lt;/li&gt;
&lt;li&gt;Very large context window (1M+ tokens).&lt;/li&gt;
&lt;li&gt;Strong multimodal support (image/video input).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Cons:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Data privacy: free-tier inputs may be used by Google to improve models (use with caution in production).&lt;/li&gt;
&lt;li&gt;IP restrictions: strict regional policy; unsupported locations may hit &lt;code&gt;403&lt;/code&gt; or &lt;code&gt;User Location Not Supported&lt;/code&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;groq-speed-king&#34;&gt;Groq (Speed King)
&lt;/h2&gt;&lt;p&gt;Groq uses its self-developed LPU (Language Processing Unit) hardware and provides extremely fast inference.
Pricing/details: &lt;a class=&#34;link&#34; href=&#34;https://groq.com/pricing&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://groq.com/pricing&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Models: GPT OSS / Kimi K2 / Llama 3,4 / Qwen3
Quota: No free tier, but relatively low price.&lt;/p&gt;
&lt;p&gt;Pros:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Very low latency; TTFT is often within 200ms.&lt;/li&gt;
&lt;li&gt;Great for real-time chat and voice assistants.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Cons:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Model scope is mostly open-source models; no GPT-4 or Claude hosted directly.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id=&#34;siliconcloud-strong-domestic-option&#34;&gt;SiliconCloud (Strong Domestic Option)
&lt;/h2&gt;&lt;p&gt;A fast-growing China-based inference platform that aggregates many high-quality domestic open-source models.
Pricing/details: &lt;a class=&#34;link&#34; href=&#34;https://siliconflow.cn/pricing&#34;  target=&#34;_blank&#34; rel=&#34;noopener&#34;
    &gt;https://siliconflow.cn/pricing&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;Models: Qwen 2.5 (7B/14B/72B), DeepSeek-V2, Yi-1.5, Kimi K2.
Quota: Some models (for example Qwen 7B, GLM-4-9B) currently offer permanent free calls.&lt;/p&gt;
&lt;p&gt;Pros:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Fast domestic connectivity.&lt;/li&gt;
&lt;li&gt;New domestic open-source models are usually available quickly.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Cons:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Free access is mainly for smaller models.&lt;/li&gt;
&lt;li&gt;Top models (such as 72B / DeepSeek 236B) are usually paid.&lt;/li&gt;
&lt;/ul&gt;
</description>
        </item>
        
    </channel>
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