Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Eachlabs Face Swap
Swap faces between images using EachLabs AI. Use when the user wants to replace or swap faces in photos.
skill openclawclawhub Free
Swap faces between images using EachLabs AI. Use when the user wants to replace or swap faces in photos.
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- Tencent SkillHub
- What's included
- SKILL.md
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Trust & source
Release facts
- Source
- Tencent SkillHub
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- Version
- 0.1.3
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- eftalyurtseven
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Documentation
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
ModelSlugBest ForAI Face Swap V1aifaceswap-face-swapImage face swapEachlabs Face Swapeach-faceswap-v1Image face swapFace Swap (legacy)face-swap-newImage face swapFaceswap Videofaceswap-videoVideo face swap
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> β validates the model exists and returns the request_schema with exact input parameters. Always do this before creating a prediction to ensure correct inputs. POST https://api.eachlabs.ai/v1/prediction with 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md