GPT-Image-2 Case · Museum Catalogue Deconstructed Infographic (Tang Dynasty Ruqun)

来自 GPT-Image2-Skill README 的精选展示条目，适合作为“信息图表与实地指南 / 博物馆目录拆解信息图（唐代襦裙）”方向的站内参考案例。

Please automatically generate a “Chinese Deconstructed Infographic in Museum Catalogue Style” based on [Topic].

The entire image should combine realistic main visuals, structural deconstruction, Chinese text annotations, material descriptions, pattern meanings, color meanings, and core feature summaries. You need to automatically determine the most appropriate subject, clothing system, artifact structure, era style, key components, material craftsmanship, color scheme, and layout structure based on [Topic], with no additional information required from the user.

The overall style should be: national museum exhibition sections, historical clothing catalogues, and cultural/museum themed infographics, not ordinary posters, ancient style portraits, e-commerce detail pages, or anime illustrations. The background should use paper textures such as cream white, silk white, or light tea, presenting a sense of sophistication, restraint, professionalism, and collection value.

Fixed Layout:
- Top: Chinese main title + subtitle + introduction
- Left side: Structural deconstruction area, with annotated key components in Chinese, including close-up details
- Upper right: Material/craft/texture area, showcasing real texture samples and descriptions
- Middle right: Pattern/color/meaning area, displaying main color schemes, pattern samples, and cultural explanations
- Bottom: Wearing sequence/composition flow chart + core feature summary

If the topic suits character presentation, use a life-sized standing human figure as the central subject; if more suitable for artifacts or single structures, switch to a subject deconstruction diagram, still maintaining a complete Chinese infographic format. All text must be in Simplified Chinese, with clear and neat handwriting, avoiding garbled text, typos, English, or pinyin.

Avoid: poster feel, studio portrait feel, e-commerce feel, anime feel, cosplay feel, incorrect annotations, structural errors, blurred text, fake textures, excessive decoration.

This case has been migrated from the GPT-Image2-Skill README to AIPlusLab `/prompts` for easy searching, browsing, and reuse within the site.