Museum Style Infographic Breakdown

Museum Style Infographic Breakdown

原文

GPT Image 2 · en

Please refer to [Theme:]{argument name="theme" default="Hanfu"} Automatically generate a "museum-style Chinese infographic." Requirements: The entire image must combine a realistic main visual, structural breakdown, Chinese annotations, material descriptions, pattern symbolism, color symbolism, and a summary of core features. You need to automatically determine the most suitable theme, costume system, artifact structure, era style, key components, material craftsmanship, color scheme, and layout based on the [Theme], without requiring further user input. The overall style should resemble a National Museum exhibition panel, a historical costume guide, or a cultural museum infographic, rather than a regular poster, ancient-style photo, e-commerce product detail page, or anime illustration. The background should use a paper texture such as off-white, silk white, or light brown. The overall visual effect should be high-end, restrained, professional, and collectible. The layout is fixed as follows: - Top: Main Chinese title + subtitle + introduction - Left: Structural breakdown area, using Chinese leader lines to label key components and accompanied by close-up details - Top right: Material/Craftsmanship/Texture area, showcasing real-texture samples and explanations - Center right: Pattern/Color/Meaning area, showcasing the main color palette, pattern samples, and cultural interpretations - Bottom: Dressing order/composition flowchart + summary of core features. If the theme is suitable for a human figure display, please use a full-body standing pose as the central subject; if it is more suitable for cultural relics, use a breakdown of the central subject, but maintain the complete Chinese infographic format. All text must be in Simplified Chinese, clear, neat, and easy to read, without garbled characters or typos.

使い方

  1. パラメータを含む元のプロンプト全体をコピーします。
  2. 被写体、文字、構図を自分の要件に置き換えます。
  3. 対応する外部ツールで使用し、利用条件と結果を確認します。

開始前の確認

  • 参考画像の要否を確認してください。互換モデルの表示は、そのモデルでの生成実績を意味しません。
  • 名前、数値、画像内の文字を確認します。モデルの版で結果は変わります。

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