ian-xiaohei-illustrations
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ChineseIan 小黑怪诞正文配图
Ian Xiaohei Weird Body Illustrations
核心定位
Core Positioning
为中文文章设计和生成 16:9 横版正文配图。目标不是做商业插画、PPT 信息图或可爱卡通,而是把文章里的关键判断、流程、结构、状态或隐喻,变成一张清爽、怪诞、有创意、可读但不说明书的手绘解释图。
默认视觉 IP 是“小黑”:黑色实心、白点眼、细腿、空表情,认真做一件荒诞但成立的事。小黑必须参与画面的核心动作,不能只是站在旁边当装饰。
Design and generate 16:9 landscape body illustrations for Chinese articles. The goal is not to create commercial illustrations, PPT infographics or cute cartoons, but to turn key judgments, processes, structures, states or metaphors in the article into a fresh, weird, creative, readable yet non-manual hand-drawn explanatory image.
The default visual IP is "Xiaohei": solid black, white dot eyes, thin legs, empty expression, seriously doing something absurd but reasonable. Xiaohei must participate in the core action of the image, not just stand aside as decoration.
先读这些参考
Read These References First
按任务需要读取,不要一次塞满上下文:
- :风格 DNA、颜色、文字、禁忌。
references/style-dna.md - :小黑 IP 的形象、性格、动作库和禁忌。
references/xiaohei-ip.md - :结构类型、原创隐喻方法和反复刻规则。
references/composition-patterns.md - :单张生图提示词模板。
references/prompt-template.md - :生成后检查和迭代规则。
references/qa-checklist.md - :只作低频视觉校准,不进入默认生成路径。不要照抄这些案例的构图、物件或标注。
assets/examples/
Read as needed for the task, don't stuff all context at once:
- : Style DNA, colors, text, taboos.
references/style-dna.md - : Xiaohei IP's image, personality, action library and taboos.
references/xiaohei-ip.md - : Structure types, original metaphor methods and repeated engraving rules.
references/composition-patterns.md - : Single image generation prompt template.
references/prompt-template.md - : Post-generation inspection and iteration rules.
references/qa-checklist.md - : Only for low-frequency visual calibration, not part of the default generation path. Do not copy the composition, objects or annotations of these cases.
assets/examples/
工作流
Workflow
1. 消化正文
1. Digest the Body Text
先读用户给的正文、链接、Notion 页面、Markdown 文件或截图内容。提炼:
- 核心观点是什么
- 哪些段落承担认知转折
- 哪些内容适合用图解释
- 哪些地方只适合文字,不需要图
不要平均配图。优先选择“认知锚点”,例如:核心判断、两个断点、输入输出闭环、分流、前后对比、一鱼多吃、承接路径、常见坑、角色状态变化。
First read the body text, links, Notion pages, Markdown files or screenshots provided by the user. Extract:
- What is the core viewpoint
- Which paragraphs bear cognitive turning points
- Which content is suitable for illustration explanation
- Which parts are only suitable for text and do not need images
Do not allocate illustrations evenly. Prioritize "cognitive anchors", such as: core judgments, two breakpoints, input-output closed loops, diversion, before-and-after comparison, one fish multiple uses, undertaking paths, common pitfalls, role state changes.
2. 先出配图策略
2. Propose Illustration Strategy First
如果用户只是说“分析怎么配图 / 思考哪些地方需要配图”,先给 shot list。每张图写清楚:
- 放在哪个段落后
- 图的主题
- 核心意思
- 结构类型
- 小黑在图里做什么
- 建议元素
- 建议中文标注词
默认 4-8 张。文章很短时 1-3 张;长文也不要轻易超过 9 张。够用就好,避免把正文做成画册。
If the user only says "analyze how to illustrate / think about which parts need illustrations", first provide a shot list. For each image, clearly write:
- Which paragraph it is placed after
- Theme of the image
- Core meaning
- Structure type
- What Xiaohei does in the image
- Suggested elements
- Suggested Chinese annotation words
The default is 4-8 images. 1-3 images for very short articles; do not easily exceed 9 images for long articles. Just use enough, avoid turning the body text into an album.
3. 单张生成
3. Single Image Generation
如果用户明确要求“生成 / 输出 / 做图 / 帮我生成”,不要停下来等确认;用内置 每张单独生成。不要把多张图拼在一张里。
image_gen每张图只讲一个核心结构。提示词必须包含:
- 16:9 横版中文正文配图
- 纯白背景
- 黑色手绘线稿
- 少量红色/橙色/蓝色中文手写批注
- 大量留白
- 小黑作为核心动作主体
- 禁止 PPT、商业插画、幼稚可爱、复杂架构、左上角类型标题
不要复刻过往案例。案例只提供风格密度和小黑参与方式,不能直接复用“传送带断点 / 小黑拉线 / 素材鱼 / 盖章工具箱 / 常见坑路径”等已有构图,除非用户明确要求复刻某张图。每次都要从当前文章重新发明一个奇怪但成立的隐喻。
If the user clearly requests "generate / output / create images / help me generate", do not stop waiting for confirmation; use the built-in to generate each image separately. Do not combine multiple images into one.
image_genEach image only focuses on one core structure. The prompt must include:
- 16:9 landscape Chinese body illustration
- Pure white background
- Black hand-drawn line draft
- A small amount of red/orange/blue Chinese handwritten annotations
- Large amount of blank space
- Xiaohei as the core action subject
- Prohibit PPT, commercial illustrations, naive cuteness, complex architecture, top-left type titles
Do not replicate past cases. Cases only provide style density and Xiaohei's participation method, and you cannot directly reuse existing compositions such as "conveyor belt breakpoint / Xiaohei pulling line / material fish / stamping toolbox / common pit path" unless the user explicitly requests to replicate a certain image. Invent a new weird but reasonable metaphor from the current article every time.
4. 检查与迭代
4. Inspection and Iteration
生成后检查 。如果出现以下问题,优先重生成或局部编辑:
references/qa-checklist.md- 小黑只是装饰
- 画面太满
- 太像流程图/PPT
- 中文太多或错字严重
- 左上角出现“常见坑/流程图/系统架构图”等标题
- 画风太可爱、幼稚、死板
- 背景不是干净白底
Check after generation. If the following problems occur, prioritize re-generation or partial editing:
references/qa-checklist.md- Xiaohei is only a decoration
- The image is too crowded
- Too similar to flowcharts/PPT
- Too much Chinese or serious typos
- Titles such as "common pit/flowchart/system architecture diagram" appear in the top-left corner
- The style is too cute, naive, rigid
- The background is not a clean white background
5. 保存交付
5. Save and Deliver
如果用户在 workspace 内工作,把最终图复制到:
text
assets/<article-slug>-illustrations/按顺序命名:
text
01-topic-name.png
02-topic-name.png保留原始生成文件,不要覆盖已有资产,除非用户明确要求替换。
If the user works in the workspace, copy the final images to:
text
assets/<article-slug>-illustrations/Name them in order:
text
01-topic-name.png
02-topic-name.pngKeep the original generated files, do not overwrite existing assets unless the user explicitly requests replacement.
输出口径
Output Guidelines
生成前的策略输出要短而准。生成后的交付要包含:
- 生成了几张
- 每张图的用途
- 保存路径
- 哪些图最稳,哪些图是可选
不要长篇解释风格理论;让图自己说话。
The strategy output before generation should be short and accurate. The delivery after generation should include:
- Number of generated images
- Purpose of each image
- Save path
- Which images are the most stable, which are optional
Do not explain style theories at length; let the images speak for themselves.