This is a simplified guide to an AI model called Face-Swap maintained by Xiankgx. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
The face-swap model is a tool for swapping the faces in two images. It can be used to replace one person's face with another, creating a seamless and realistic composite image. This model is similar to other face restoration and enhancement models like GFPGAN, GFPGAN, and Codeformer, which are designed to improve the quality of old photos or AI-generated faces.
Model inputs and outputs
The face-swap model takes in two image inputs - a "source" image and a "target" image. The source image is the one that contains the face you want to swap, while the target image is the one that will receive the new face. The model then outputs a composite image with the swapped faces.
Inputs
- source_image: The image that contains the face you want to swap
- target_image: The image that will receive the new face
- request_id: An optional identifier for the request
- det_thresh: The detection threshold for the face detection model
- local_source: The local path to the source image file
- local_target: The local path to the target image file
- cache_days: The number of days to cache the output image
- weight: The weight to apply to the face swap
Outputs
- Output: The composite image with the swapped faces
Capabilities
The face-swap model is capable of se...
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