Eachlabs Face Swap OpenClaw Skill - ClawHub
Do you want your AI agent to automate Eachlabs Face Swap workflows? This free skill from ClawHub helps with image & video generation tasks without building custom tools from scratch.
What this skill does
Swap faces between images using EachLabs AI. Use when the user wants to replace or swap faces in photos.
Install
npx clawhub@latest install eachlabs-face-swapFull SKILL.md
Open original| name | description |
|---|---|
| eachlabs-face-swap | Swap faces between images using EachLabs AI. Use when the user wants to replace or swap faces in photos. |
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