Maker Face Swap

A fast image tool that swaps faces between two photos for creative portraits, visual experiments, and social media edits.

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1,420+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction
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À propos de cet outil

Maker Face Swap provides an image-based workflow to swap faces between two photos for creative portraits, photographers, designers, and hobbyists. It supports controlled experiments and quick iterations for social media edits.
Conceptually, the tool extracts facial landmarks, aligns the target region to the base image, and blends swapped regions with color correction to maintain lighting continuity. It offers two modes: landmark-based for precise control and GAN-based for natural results in challenging poses.
Outputs include a swapped image and optional metadata such as confidence scores and processing time. Core differentiators are robust edge refinement, skin-tone correction, and batch processing. Use cases include portrait composites, character editing, and visual storytelling where consent and rights are observed.

Comment utiliser

  1. Provide inputs by uploading base_image and target_image.
  2. Choose method: landmark-based for control or GAN-based for natural results.
  3. Optionally adjust output_resolution, skin_tone_match, and edge refinement.
  4. Run calculation.
  5. Download swapped_image and, if enabled, processing metadata.
How to use maker face swap

Frequently Asked Questions

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What image formats are supported?
Inputs support JPEG and PNG; outputs can be saved as JPEG or PNG depending on the selected format.
Can I swap faces in videos?
This tool processes single images per operation; batch processing supports multiple image pairs, but video swapping is not currently supported.
How is privacy handled?
Uploaded images are used for the current processing task and are not stored beyond the session unless you opt into retention according to the site policy.
What are common limitations?
Extreme lighting, severe occlusions, or non-frontal faces reduce realism; provide well-lit, clearly visible faces for best results.

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