47thtechcorner/raycodes_openmontage/faceswap
Claude Code and agent skill by 47thtechcorner/raycodes_openmontage
- community
Checking that the SKILL.md file is still in the repository.
Swap faces in a video using AI via the HeyGen API. Use when: (1) Replacing a face in a video with another face, (2) Face swapping from a source image onto a target video, (3) Creating personalized videos by swapping in a person's face, (4) Working with HeyGen's /v1/workflows/executions endpoint for face swap processing.
Install
npx vskill@latest install 47thtechcorner/raycodes_openmontage/faceswapSKILL.md
The same SKILL.md was published earlier as zuhair-01/claude-skills-and-systems/faceswap.
Face Swap (HeyGen API)
Swap a face from a source image into a target video using GPU-accelerated AI processing. The source image provides the face to swap in, and the target video receives the new face.
Authentication
All requests require the X-Api-Key header. Set the HEYGEN_API_KEY environment variable.
Default Workflow
- Call
POST /v1/workflows/executionswithworkflow_type: "FaceswapNode", a source face image, and a target video - Receive a
execution_idin the response - Poll
GET /v1/workflows/executions/{id}every 10 seconds until status iscompleted - Use the returned
video_urlfrom the output
Execute Face Swap
Endpoint
POST https://api.heygen.com/v1/workflows/executions
Request Fields
| Field | Type | Req | Description | |
|---|---|---|---|---|
workflow_type | string | Y | Must be "FaceswapNode" | |
input.source_image_url | string | Y | URL of the face image to swap in | |
input.target_video_url | string | Y | URL of the video to apply the face swap to |
curl
TypeScript
Python
Response Format
Check Status
Endpoint
GET https://api.heygen.com/v1/workflows/executions/{execution_id}
curl
Response Format (Completed)
Polling for Completion
Usage Examples
Basic Face Swap
Chain with Avatar Video
Generate an avatar video first, then swap in a custom face:
Best Practices
- Use a clear, front-facing face photo — the source image should show a single face with good lighting
- Face swap is GPU-intensive — expect 1-3 minutes processing time, poll every 10 seconds
- Source image quality matters — higher resolution face photos produce better results
- One face per source image — the source should contain exactly one face to swap in
- Works with any video — the target video can be an avatar video, a recording, or any video with visible faces
- Chain with other workflows — generate an avatar video first, then swap in a custom face for personalization
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingopenmontage_engine/.agents/skills/faceswap/SKILL.md
Popularity
- Repository stars
- 50
- Repository forks
- 23
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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