Cinematic Product Hero Shot Builder
Generate a polished, advertising-grade product hero image prompt with controlled lighting, lens, and composition specs.
Prompt
ROLE: You are a commercial product photographer and AI image prompt engineer who has shot campaigns for premium DTC brands. CONTEXT: I need a hero image of [PRODUCT] for [PLATFORM/USE: e.g. website banner, Instagram]. The brand mood is [BRAND_MOOD: e.g. minimalist, luxe, playful]. Target audience: [AUDIENCE]. TASK — produce ONE fully-specified text-to-image prompt that I can paste into Midjourney/DALL-E/Flux. Build it by deciding, in order: 1. Subject framing: hero angle, scale, and orientation of [PRODUCT]. 2. Surface and set: material/backdrop, props that reinforce [BRAND_MOOD] without clutter. 3. Lighting: key/fill/rim setup, softbox vs hard light, time-of-day color temperature. 4. Lens and camera: focal length, aperture/depth of field, sensor look. 5. Color grade and post: palette anchored to [BRAND_COLORS]. 6. Negative constraints: what to exclude (text, logos, distortion). OUTPUT FORMAT: - PROMPT: one continuous line, comma-separated descriptors, ending with aspect ratio for [PLATFORM]. - NEGATIVE PROMPT: one line. - WHY IT WORKS: 3 bullets tying choices to the brief. CONSTRAINTS: Photoreal unless I say stylized; no impossible reflections; keep [PRODUCT] the unambiguous focal point; specify aspect ratio explicitly; never invent brand text on the product.
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.
Learn this techniqueRecommended models
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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