Open-source "Yingzao" skill turns travel photos into magazine-grade cultural posters
歸藏的AI工具箱 · wechat · 2026-09-03
After a trip photographing ancient architecture in Datong, the author open-sourced his poster-generation workflow as the "Yingzao" skill. Key points:
- No template sameness: a DesignToken system plus dozens of validated style recipes match fonts, materials and palettes to each photo's viewpoint and lighting, yielding thousands of coherent variations.
- Cultural fact retrieval: it recognizes plaques and buildings, adds verifiable info (e.g. "1056 · Liao dynasty") with fact-tiering, never inventing copy.
- Fusion, not collage: elements from multiple photos are merged into one visual space with unified texture and lighting.
- Method: four inputs (corrected original, dominant reference, layout guide, prompt) fused in a single generation; per-character title typeface design; strict constraints (one composition, one material, colors extracted from the photo) keep output stable.
Works beyond architecture — food, objects, shops. Can also emit storyboards for Seedance2.0/MiniMax video. Requires GPT-image 2.0, best run in Codex via npx skills add. Philosophy: code handles measurement and checks, the image model handles semantics and rendering, judgment stays with the user.
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