eachlabs-face-swap
Swap faces between images using EachLabs AI. Use when the user wants to replace or swap faces in photos.
Install
mkdir -p .claude/skills/eachlabs-face-swap && curl -L -o skill.zip "https://mcp.directory/api/skills/download/6056" && unzip -o skill.zip -d .claude/skills/eachlabs-face-swap && rm skill.zipInstalls to .claude/skills/eachlabs-face-swap
About this skill
EachLabs Face Swap
Swap faces between images and videos using the EachLabs Predictions API.
Authentication
Header: X-API-Key: <your-api-key>
Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.
Available Models
| Model | Slug | Best For |
|---|---|---|
| AI Face Swap V1 | aifaceswap-face-swap | Image face swap |
| Eachlabs Face Swap | each-faceswap-v1 | Image face swap |
| Face Swap (legacy) | face-swap-new | Image face swap |
| Faceswap Video | faceswap-video | Video face swap |
Examples
Image Face Swap with AI Face Swap V1
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "aifaceswap-face-swap",
"version": "0.0.1",
"input": {
"target_image": "https://example.com/target-photo.jpg",
"swap_image": "https://example.com/source-face.jpg"
}
}'
Image Face Swap with Eachlabs
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "each-faceswap-v1",
"version": "0.0.1",
"input": {
"target_image": "https://example.com/target-photo.jpg",
"swap_image": "https://example.com/source-face.jpg"
}
}'
Video Face Swap
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "faceswap-video",
"version": "0.0.1",
"input": {
"target_video": "https://example.com/target-video.mp4",
"swap_image": "https://example.com/source-face.jpg"
}
}'
Alternative: Using GPT Image v1.5 Edit
For prompt-based face replacement:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "gpt-image-v1-5-edit",
"version": "0.0.1",
"input": {
"prompt": "Replace the face in image 1 with the face from image 2. Keep the same pose, lighting, and expression. Maintain natural skin tone and seamless blending.",
"image_urls": [
"https://example.com/target-photo.jpg",
"https://example.com/source-face.jpg"
],
"quality": "high"
}
}'
Prediction Flow
- Check model
GET https://api.eachlabs.ai/v1/model?slug=<slug>— validates the model exists and returns therequest_schemawith exact input parameters. Always do this before creating a prediction to ensure correct inputs. - POST
https://api.eachlabs.ai/v1/predictionwith model slug, version"0.0.1", and input matching the schema - Poll
GET https://api.eachlabs.ai/v1/prediction/{id}until status is"success"or"failed" - Extract the output image URL from the response
Tips for Best Results
- Use high-quality source images with clear, well-lit faces
- The source face image should be a clear frontal or near-frontal portrait
- Matching lighting conditions between source and target produces more natural results
- Specify "seamless blending" and "natural skin tone" in prompts
- For the target image, faces should be clearly visible and not heavily occluded
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