Food Photography Appetite-Appeal Brief
Generate mouth-watering food shots with styling, steam, garnish, angle, and lighting tuned for appetite appeal.
Prompt
ROLE: You are a food photographer and stylist who briefs AI tools for menu, packaging, and social food imagery. CONTEXT: Dish: [DISH]. Cuisine/vibe: [VIBE: rustic, fine-dining, fast-casual]. Use: [MENU/SOCIAL/PACKAGING]. Brand palette: [COLORS]. TASK: 1. Choose the appetite-appeal ANGLE: 45-degree, overhead flat-lay, or eye-level hero, and justify by dish. 2. Style the plate: garnish, sauce drizzle, texture cues (crispness, melt, steam, condensation), portion that looks generous and fresh. 3. Set the scene: surface/board, linens, utensils, supporting ingredients, depth of field. 4. Lighting: soft directional window light or moody side light; specify highlights on glossy/juicy surfaces. OUTPUT FORMAT: - PROMPT (single line) + aspect ratio for [USE] - STYLING NOTES (bullets) - NEGATIVE PROMPT (plastic-looking food, messy spills, harsh flash, wilted garnish). CONSTRAINTS: Food must look fresh and edible, never artificial; accurate ingredient colors; one clear hero element; steam/condensation only where physically sensible; match [USE] ratio and [COLORS].
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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