Advanced facial recognition and blending algorithms enable precise face swaps while preserving skin tone, lighting, and facial geometry.
About this model
ai-image-face-swap is a cutting-edge model leveraging advanced facial recognition and blending algorithms to deliver precise and natural face swaps. The model is engineered to conserve vital image attributes such as skin tone, lighting, and facial geometry, ensuring that the swapped images look realistic and seamless. Utilizing state-of-the-art AI techniques, the engine smartly detects and manipulates facial features, thus facilitating high-fidelity transformations in various image contexts.
Designed for both creative professionals and enthusiasts, ai-image-face-swap stands out for its exceptional performance and ease of integration. Its robust technical capabilities allow it to handle diverse input scenarios, making it ideal for applications ranging from entertainment to professional media production. With detailed control over the face selection via the target index, users can experiment with multiple creative variations while benefiting from industry-leading processing speeds at an extremely competitive cost.
Cost analysis
| Provider | Cost | Notes |
|---|---|---|
| muapiapp | $0.02 | Offers a highly competitive rate that is 20-50% more affordable than other providers while ensuring top-notch quality and performance. |
| Fal.ai | $0.03 | Priced approximately 20-50% higher than muapiapp, Fal.ai provides similar high-quality output but at a slightly increased cost point. |
| Replicate | $0.03 | Replicate's pricing is on par with Fal.ai, making muapiapp the more economical choice without compromising on performance or quality. |
Offers a highly competitive rate that is 20-50% more affordable than other providers while ensuring top-notch quality and performance.
Priced approximately 20-50% higher than muapiapp, Fal.ai provides similar high-quality output but at a slightly increased cost point.
Replicate's pricing is on par with Fal.ai, making muapiapp the more economical choice without compromising on performance or quality.
* Competitor pricing is estimated based on similar model architectures and usage tiers.
Configuration schema
| Parameter | Type | Description | Default |
|---|---|---|---|
| Target Image | string | Target URL of the input image. Image width and height cannot be greater than 2048px | https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/633629128788/c1173838-3154-4b83-aa0e-332c66f5ce57.jpg |
| Swap Image | string | Swap URL of the input image. Image width and height cannot be greater than 2048px | https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/907027733148/72a266e3-2729-43d6-94cc-ca18547f6be4.jpg |
| Target Index | int | 0 = largest face. To switch to another target face - switch to index 1. | 0 |
Target URL of the input image. Image width and height cannot be greater than 2048px
https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/633629128788/c1173838-3154-4b83-aa0e-332c66f5ce57.jpgSwap URL of the input image. Image width and height cannot be greater than 2048px
https://d3adwkbyhxyrtq.cloudfront.net/ai-images/186/907027733148/72a266e3-2729-43d6-94cc-ca18547f6be4.jpg0 = largest face. To switch to another target face - switch to index 1.
0Developer documentation
Follow these simple steps to get started:
Prepare Your Input Images:
Set Up the Request:
ai-image-face-swap.image_url: URL of the target image.swap_url: URL of the swap face image.target_index: (Optional) Set the face index (default is 0 for the largest face).Generate the Image:
video key.Review and Iterate:
Happy face swapping!
Frequently asked
Both the target and the swap images must not exceed a width or height of 2048px to ensure optimal processing and quality.
The target_index parameter allows you to select which face in the target image should be swapped. By default, 0 represents the largest detected face. You can change this to 1 or higher to swap a different face, as long as it is within the bounds of the available faces.
The model employs sophisticated facial recognition and blending algorithms that adjust for skin tone, lighting, and facial geometry, resulting in a highly natural and realistic swap.
The cost is $0.02 per generation, making it an affordable solution for both individual users and professional workflows.