How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/guyronnen/openmontage --skill faceswapBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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.
curl -X POST "https://api.heygen.com/v1/workflows/executions" \
-H "X-Api-Key: $HEYGEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{"workflow_type": "FaceswapNode", "input": {"source_image_url": "https://example.com/face.jpg", "target_video_url": "https://example.com/video.mp4"}}'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
curl -X POST "https://api.heygen.com/v1/workflows/executions" \
-H "X-Api-Key: $HEYGEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"workflow_type": "FaceswapNode",
"input": {
"source_image_url": "https://example.com/face-photo.jpg",
"target_video_url": "https://example.com/original-video.mp4"
}
}'TypeScript
interface FaceswapInput {
source_image_url: string;
target_video_url: string;
}
interface ExecuteResponse {
data: {
execution_id: string;
status: "submitted";
};
}
async function faceswap(input: FaceswapInput): Promise<string> {
const response = await fetch("https://api.heygen.com/v1/workflows/executions", {
method: "POST",
headers: {
"X-Api-Key": process.env.HEYGEN_API_KEY!,
"Content-Type": "application/json",
},
body: JSON.stringify({
workflow_type: "FaceswapNode",
input,
}),
});
const json: ExecuteResponse = await response.json();
return json.data.execution_id;
}Python
import requests
import os
def faceswap(source_image_url: str, target_video_url: str) -> str:
payload = {
"workflow_type": "FaceswapNode",
"input": {
"source_image_url": source_image_url,
"target_video_url": target_video_url,
},
}
response = requests.post(
"https://api.heygen.com/v1/workflows/executions",
headers={
"X-Api-Key": os.environ["HEYGEN_API_KEY"],
"Content-Type": "application/json",
},
json=payload,
)
data = response.json()
return data["data"]["execution_id"]Response Format
{
"data": {
"execution_id": "node-gw-f1s2w3p4",
"status": "submitted"
}
}Check Status
Endpoint
GET https://api.heygen.com/v1/workflows/executions/{execution_id}
curl
curl -X GET "https://api.heygen.com/v1/workflows/executions/node-gw-f1s2w3p4" \
-H "X-Api-Key: $HEYGEN_API_KEY"Response Format (Completed)
{
"data": {
"execution_id": "node-gw-f1s2w3p4",
"status": "completed",
"output": {
"video_url": "https://resource.heygen.ai/faceswap/output.mp4"
}
}
}Polling for Completion
async function faceswapAndWait(
input: FaceswapInput,
maxWaitMs = 600000,
pollIntervalMs = 10000
): Promise<string> {
const executionId = await faceswap(input);
console.log(`Submitted face swap: ${executionId}`);
const startTime = Date.now();
while (Date.now() - startTime < maxWaitMs) {
const response = await fetch(
`https://api.heygen.com/v1/workflows/executions/${executionId}`,
{ headers: { "X-Api-Key": process.env.HEYGEN_API_KEY! } }
);
const { data } = await response.json();
switch (data.status) {
case "completed":
return data.output.video_url;
case "failed":
throw new Error(data.error?.message || "Face swap failed");
case "not_found":
throw new Error("Workflow not found");
default:
await new Promise((r) => setTimeout(r, pollIntervalMs));
}
}
throw new Error("Face swap timed out");
}Usage Examples
Basic Face Swap
curl -X POST "https://api.heygen.com/v1/workflows/executions" \
-H "X-Api-Key: $HEYGEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"workflow_type": "FaceswapNode",
"input": {
"source_image_url": "https://example.com/headshot.jpg",
"target_video_url": "https://example.com/presentation.mp4"
}
}'Chain with Avatar Video
Generate an avatar video first, then swap in a custom face:
import time
# Step 1: Generate avatar video
avatar_execution_id = requests.post(
"https://api.heygen.com/v1/workflows/executions",
headers={"X-Api-Key": os.environ["HEYGEN_API_KEY"], "Content-Type": "application/json"},
json={
"workflow_type": "AvatarInferenceNode",
"input": {
"avatar": {"avatar_id": "Angela-inblackskirt-20220820"},
"audio_list": [{"audio_url": "https://example.com/speech.mp3"}],
},
},
).json()["data"]["execution_id"]
# Step 2: Wait for avatar video to complete
while True:
status = requests.get(
f"https://api.heygen.com/v1/workflows/executions/{avatar_execution_id}",
headers={"X-Api-Key": os.environ["HEYGEN_API_KEY"]},
).json()["data"]
if status["status"] == "completed":
avatar_video_url = status["output"]["video"]["video_url"]
break
time.sleep(10)
# Step 3: Swap in a custom face
faceswap_execution_id = faceswap(
source_image_url="https://example.com/custom-face.jpg",
target_video_url=avatar_video_url,
)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


