Candlelit Banquet Place Setting — ChaosRealmsAI · MIT

原文

GPT Image 2 · en

Scene:
Compose a square feast or banquet campaign image with abundant but controlled table choreography, rich servingware, and a celebratory atmosphere that feels suitable for hospitality campaigns, seasonal dining promotions, or event editorials. The frame should manage many elements without losing hierarchy, elegance, or appetite appeal. Use a square crop of one portion of the table with candlelight, plateware, napkin folds, and partial dish visibility creating intimate celebration.

Subject:
The food must look substantial and celebratory, with believable multi-dish coordination, serving logic, and table rituals that suggest a real banquet rather than a random buffet pile. Let the place setting and nearby food communicate premium hospitality and anticipation.

Important details:
This topic depends on composition reasoning. Preserve a strong centerpiece, readable secondary dishes, coherent servingware, and lighting that supports depth across the table. Celebration should emerge from abundance, color, and ritual objects, not from gimmicks or branded holiday symbols. Everything must feel premium, coordinated, and logistically plausible. This image should feel fully self-contained while still belonging to the same broader topic and commercial world. Material realism matters: glass sparkle, candle glow, linen depth, and polished flatware should all feel warm and believable without overpowering the food.

Use case:
Festive Feast 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 generic wedding décor, no buffet-chaos clutter, no novelty party props, no copied holiday mascots, no visible faces dominating the frame, no wedding invitation cards, no readable place cards, no luxury-brand logos.

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。