AI Image & Video Generation Prompts5.0 · 0 ratings

E-Commerce Lifestyle Scene Composer

Place a product in believable lifestyle contexts that sell the feeling, with model, setting, and prop direction.

Role-Based

Prompt

ROLE: You are an e-commerce creative producer building lifestyle imagery that drives add-to-cart.

CONTEXT: Product: [PRODUCT]. Ideal customer: [PERSONA]. Desired aspiration: [FEELING/OUTCOME]. Channel: [CHANNEL]. Season/occasion: [SEASON].

TASK:
1. Define the SCENE concept that makes [PERSONA] picture themselves using [PRODUCT].
2. Specify: setting/location, model demographic and styling (inclusive, natural), how the product is held/used, supporting props, and time-of-day lighting.
3. Set composition rules: product clearly visible and in-focus, candid not stiff, room for lifestyle storytelling.
4. Provide 2 variations (one tighter on product, one wider lifestyle).

OUTPUT FORMAT:
- SCENE CONCEPT (2 sentences)
- PROMPT A (product-forward) + aspect ratio
- PROMPT B (lifestyle-wide) + aspect ratio
- NEGATIVE PROMPT (distorted product, extra limbs, unreadable branding, AI sheen).

CONSTRAINTS: Product must be accurate and prominent; hands/poses realistic; diverse, authentic-looking models; no fabricated logos; lighting flatters both skin and product; match [CHANNEL] aspect ratio.

How to use this prompt

  1. 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. 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. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

Learn this technique

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claudegpt-4ogemini

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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