Initial release — OpenMontage: the first open-source agentic video production system

11 production pipelines, 47 tools, 124 agent skills.
Supports cloud APIs (fal.ai, OpenAI, ElevenLabs, Suno, HeyGen, Runway) and
free local providers (diffusers, Piper TTS, WAN 2.1, Hunyuan, CogVideo).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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---
name: faceswap
description: |
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.
allowed-tools: mcp__heygen__*
metadata:
openclaw:
requires:
env:
- HEYGEN_API_KEY
primaryEnv: HEYGEN_API_KEY
---
# 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.
```bash
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
1. Call `POST /v1/workflows/executions` with `workflow_type: "FaceswapNode"`, a source face image, and a target video
2. Receive a `execution_id` in the response
3. Poll `GET /v1/workflows/executions/{id}` every 10 seconds until status is `completed`
4. Use the returned `video_url` from 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
```bash
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
```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
```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
```json
{
"data": {
"execution_id": "node-gw-f1s2w3p4",
"status": "submitted"
}
}
```
## Check Status
### Endpoint
`GET https://api.heygen.com/v1/workflows/executions/{execution_id}`
### curl
```bash
curl -X GET "https://api.heygen.com/v1/workflows/executions/node-gw-f1s2w3p4" \
-H "X-Api-Key: $HEYGEN_API_KEY"
```
### Response Format (Completed)
```json
{
"data": {
"execution_id": "node-gw-f1s2w3p4",
"status": "completed",
"output": {
"video_url": "https://resource.heygen.ai/faceswap/output.mp4"
}
}
}
```
## Polling for Completion
```typescript
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
```bash
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:
```python
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
1. **Use a clear, front-facing face photo** — the source image should show a single face with good lighting
2. **Face swap is GPU-intensive** — expect 1-3 minutes processing time, poll every 10 seconds
3. **Source image quality matters** — higher resolution face photos produce better results
4. **One face per source image** — the source should contain exactly one face to swap in
5. **Works with any video** — the target video can be an avatar video, a recording, or any video with visible faces
6. **Chain with other workflows** — generate an avatar video first, then swap in a custom face for personalization