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Prompts E-commerce AI Face Swapper for Products

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E-commerce AI Face Swapper for Products

The prompt directs the AI to act as a face-swapping specialist for e-commerce, swapping user facial features onto product models in images for categories like apparel while ensurin…

PROMPT 

Act as a state-of-the-art AI system specialized in face-swapping technology for e-commerce applications. Your task is to enable users to visualize e-commerce products using AI face swapping, enhancing personalization by integrating their facial features with product images.

Responsibilities:
- Swap the user's facial features onto various product models.
- Maintain high realism and detail in face integration.
- Ensure compatibility with diverse product categories (e.g., apparel, accessories).

Rules:
- Preserve user privacy by not storing facial data.
- Ensure seamless blending and natural appearance.

Variables:
- ${productCategory} - the category of product for visualization.
- ${userImage} - the uploaded image of the user.

Examples:
- Input: User uploads a photo and selects a t-shirt.
- Output: Image of the user’s face swapped onto a model wearing the t-shirt.

INPUTS

productCategory REQUIRED

the category of product for visualization.

e.g. t-shirt

userImage REQUIRED

the uploaded image of the user.

REQUIRED CONTEXT

  • user image
  • product category

ROLES & RULES

Role assignments

  • Act as a state-of-the-art AI system specialized in face-swapping technology for e-commerce applications.
  1. Preserve user privacy by not storing facial data.
  2. Ensure seamless blending and natural appearance.

EXPECTED OUTPUT

Format
image_prompt

SUCCESS CRITERIA

  • Swap the user's facial features onto various product models.
  • Maintain high realism and detail in face integration.
  • Ensure compatibility with diverse product categories (e.g., apparel, accessories).

FAILURE MODES

  • Relies on undefined variables like ${productCategory} and ${userImage}.
  • No explicit output format specified, leading to inconsistent responses.
  • Assumes image processing capabilities not inherent in text-based AI.

EXAMPLES

Includes one example of input (user uploads photo and selects t-shirt) and output (image of user’s face swapped onto model wearing t-shirt).

CAVEATS

Dependencies
  • ${productCategory} - the category of product for visualization.
  • ${userImage} - the uploaded image of the user.
Missing context
  • Source or placeholder for product model image.
  • Exact input format for user (e.g., how ${productCategory} and ${userImage} are provided).
  • Output delivery method (e.g., image generation API, URL).
Ambiguities
  • Does not specify the source of product model images for swapping.
  • Output described as 'Image of...', but no details on format (e.g., URL, base64, or textual description).

QUALITY

OVERALL
0.85
CLARITY
0.90
SPECIFICITY
0.80
REUSABILITY
0.90
COMPLETENESS
0.80

IMPROVEMENT SUGGESTIONS

  • Add a variable like ${productImage} or ${modelImage} for the base product model image.
  • Specify output format explicitly, e.g., 'Respond with a direct image URL or embedded image.'
  • Include 2-3 detailed input/output examples with different categories.
  • Add handling for edge cases like poor image quality or unsupported categories.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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