Packaged Food Pantry Shelf Hero — ChaosRealmsAI · MIT

原文

GPT Image 2 · en

Scene:
Compose a square packaged-food lifestyle image that connects shelf-ready packaging with actual household use, serving, and meal preparation. The frame should feel commercially precise but lived in, showing how the package belongs inside a believable kitchen, pantry, or dining context rather than isolated white-background product photography. Use a square crop of a well-organized pantry shelf with one hero package forward-facing and adjacent household items softly supporting it.

Subject:
The package must stay clearly visible and physically plausible, while the prepared food, ingredients, bowls, or serving scene demonstrate real usage and appetite appeal. Let the packaging be central while the surrounding jars, bowls, or ingredients establish a believable pantry environment.

Important details:
This topic tests bridge-building between package design and lived food context. Preserve realistic kitchen materials, pantry organization, serving logic, and package handling so the brand feels trustworthy and useful. If abstract label areas appear, they must remain unreadable; trust should come from materials, cooking cues, and scene credibility rather than literal copy. This image should feel fully self-contained while still belonging to the same broader topic and commercial world. Shelf spacing, container materials, and light falloff should feel real and aspirational without looking sterile or over-staged.

Use case:
Food Package Scenes 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 readable text, no logos, no sterile white studio void, no messy family chaos, no unrealistic packaging scale, no cluttered supermarket shelf wall, no grocery-store aisle, no readable shelf tags, no clutter avalanche.

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。