Pink Patisserie Cake Box Flatlay — ChaosRealmsAI · MIT

原文

GPT Image 2 · en

Scene:
Compose a square premium patisserie image with polished but believable boutique lighting, elegant marble or lacquer surfaces, and a sweet-shop atmosphere that feels brand-authored rather than generic. The camera should preserve product clarity, shape definition, and shelf or counter context while leaving enough breathing room for campaign placement. Use a top-down square composition over a clean stone surface, with tissue paper, ribbon, and one opened box arranged like a product campaign still life.

Subject:
The desserts must look crafted by a high-end pastry kitchen: clean lamination, glossy glaze, stable cream structure, crisp edges, and packaging or display surfaces that reinforce a coherent dessert identity. Feature a premium cake box system with a visible dessert slice, neat inserts, and subtle branded geometry expressed through color blocks and materials rather than readable text.

Important details:
Sweetness should come from color control, finish quality, and material nuance, not from visual clutter. Preserve believable pastry engineering, boutique display logic, and refined merchandising cues so the images can support brand storytelling across retail, packaging, and editorial use. This image should feel fully self-contained while still belonging to the same broader topic and commercial world. The result should feel like an expensive gifting moment: crisp folds, believable paper texture, precise corners, and pastry visibility that still keeps packaging central.

Use case:
Dessert Brand single study 5/9, built for Prompt Atlas coverage of a food and beverage commercial visual system.

Constraints:
No readable text, no watermark, no logos, preserve exact 1:1 aspect ratio, no candy-color overload, no plastic frosting, no supermarket clutter, no cartoon decorations, no melted textures that break realism, no childish party props, no shipping labels, no readable copy, no discount-store vibe.

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。