Architectural Book-Series Spread Mockup — ChaosRealmsAI · MIT

原文

GPT Image 2 · en

Scene:
A square editorial or interface layout study with exact margins, confident grid structure, and premium print or screen presentation. Build the frame around a primary spread or headline surface with immediate hierarchy. Keep the lighting, camera distance, and spatial organization tuned for a high-signal research image rather than a casual snapshot. The image belongs to the Book Series Design theme and should feel immediately legible as a prompt atlas theme for book series design, testing text-rendering, structured-layout, style-transfer, commercial-mockup with gpt image 2..

Subject:
Center the study on a primary spread or headline surface with immediate hierarchy. Translate the theme into a concrete visual statement instead of an abstract mood board: the viewer should understand what kind of image this is, what is being tested, and why the composition is difficult. Use the slug idea of book series design as a literal guide for subject matter, materials, and staging.

Important details:
Typography fields must stay unreadable, but hierarchy, rhythm, and page architecture should feel convincing enough for design review. Preserve a disciplined square composition, clear focal hierarchy, and enough secondary information to make the image feel complete rather than underspecified. The image should look polished, novel, and exhibition-ready, with topic-specific credibility coming from the way surfaces, structure, and visual language reinforce Book Series Design. Avoid generic filler elements that do not serve the main concept.

Use case:
Book Series Design single study 1/8, testing text-rendering, structured-layout, style-transfer, commercial-mockup through the hero spread variation.

Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no readable text, no logo lockups from real brands, no broken grid, no arbitrary poster clutter, no malformed columns, no accidental lorem ipsum.

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。