
原文
GPT Image 2 · en
Scene:
A square tabletop mockup with stacked binders, soft daylight, and refined paper texture across multiple printed objects. Compose the frame as a square key visual with disciplined camera placement, premium lighting control, and believable real-world scale. The tonal range should feel polished and intentional, with enough atmosphere to create depth without obscuring form. Keep contrast calibrated for launch, catalog, or research presentation use rather than casual snapshot aesthetics.
Subject:
Center original industrial catalog covers represented as non-readable abstract editorial surfaces. Make the subject feel original, production-aware, and clearly grounded in Industrial Catalog Cover and Spread System. Treat this as an independent study that must feel complete and coherent without relying on any external reference image. The focal hierarchy should be immediate: primary form first, then material behavior, then supporting environmental cues that clarify use context and difficulty.
Important details:
Sell material quality, print finish, and presentation polish. The image should feel like a real industrial sales kit prepared for a client meeting. The visual language should still feel native to Industrial Catalog Cover and Spread System, using disciplined industrial or campaign composition instead of generic stock photography. Use believable materials, engineering logic, and professional composition discipline. Reflections, shadows, edge breaks, texture scale, interface density, and small physical joints must all support realism. Avoid filler props, vague mood-board clutter, or any element that weakens the sense of a purpose-built industrial or automotive image.
Use case:
Catalog System single study 5/9 for Industrial Catalog Cover and Spread System, built as image support-one.
Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no readable text, no logos, no lorem ipsum, no random office clutter, no unrelated consumer props, no fake brand marks.使い方
- パラメータを含む元のプロンプト全体をコピーします。
- 被写体、文字、構図を自分の要件に置き換えます。
- 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。





