Originaldokument
GPT Image 2 · en
Scene:
Compose a square brunch tabletop image with layered tableware, generous daylight, and a sense of weekend abundance that still feels organized enough for real hospitality and publishing use. The scene should balance multiple objects without losing the hero focal point, making table choreography and dish relationships a core part of the image. Use a square overhead-to-three-quarter view with warm daylight, a woven basket, small ramekins, and linen folds that feel casual but polished.
Subject:
The food must look fresh, warm, and genuinely shareable: eggs, breads, fruit, spreads, juices, and plated brunch mains should feel cooked and plated for service, not arranged as fake prop food. Feature croissants, rolls, butter, preserves, and one or two plates nearby so the basket reads as part of a brunch service rather than an isolated still life.
Important details:
Table logic matters. Plates, glasses, linens, and serving utensils need believable spacing, overlap, and hierarchy so the image can support menus, social assets, and campaign layouts. Make the abundance feel intentional rather than chaotic, with appetizing textures and natural daylight carrying the mood. This image should feel fully self-contained while still belonging to the same broader topic and commercial world. Keep textures rich but disciplined: flaky pastry, soft butter, glass jar reflections, and cloth folds should feel inviting without becoming cluttered.
Use case:
Brunch Tabletop 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 buffet chaos, no greasy diner styling unless specifically implied, no visible phone screens, no plastic takeaway packaging, no fake stock-family posing, no unreadable signage, no supermarket pastry pile, no plastic packets, no buffet sneeze guards.Verwendung
- Den vollständigen Original-Prompt einschließlich Parametern kopieren.
- Motiv, Text und Komposition an die eigenen Anforderungen anpassen.
- Ein kompatibles externes Werkzeug nutzen; Zugangsbedingungen und Ergebnis prüfen.
Vor dem Start
- Prüfen, ob ein Referenzbild nötig ist. Kompatibilität belegt nicht das tatsächlich verwendete Modell.
- Namen, Zahlen und Bildtexte prüfen; Modellversionen können andere Ergebnisse liefern.
