ai-video-gen
|
Works with
Claude CodeCursorCodex CLIGitHub CopilotGemini CLI
---
name: ai-video-gen
description: |
license: MIT
---
# Video Generation (HeyGen API)
Generate AI videos from text prompts. Supports multiple providers (VEO 3.1, Kling, Sora, Runway, Seedance), configurable aspect ratios, and optional reference images for image-to-video generation.
## 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": "GenerateVideoNode", "input": {"prompt": "A drone shot flying over a coastal city at sunset"}}'
```
## Default Workflow
1. Call `POST /v1/workflows/executions` with `workflow_type: "GenerateVideoNode"` and your prompt
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 Video Generation
### Endpoint
`POST https://api.heygen.com/v1/workflows/executions`
### Request Fields
| Field | Type | Req | Description |
|-------|------|:---:|-------------|
| `workflow_type` | string | Y | Must be `"GenerateVideoNode"` |
| `input.prompt` | string | Y | Text description of the video to generate |
| `input.provider` | string | | Video generation provider (default: `"veo_3_1"`). See Providers below. |
| `input.aspect_ratio` | string | | Aspect ratio (default: `"16:9"`). Common values: `"16:9"`, `"9:16"`, `"1:1"` |
| `input.reference_image_url` | string | | Reference image URL for image-to-video generation |
| `input.tail_image_url` | string | | Tail image URL for last-frame guidance |
| `input.config` | object | | Provider-specific configuration overrides |
### Providers
| Provider | Value | Description |
|----------|-------|-------------|
| VEO 3.1 | `"veo_3_1"` | Google VEO 3.1 (default, highest quality) |
| VEO 3.1 Fast | `"veo_3_1_fast"` | Faster VEO 3.1 variant |
| VEO 3 | `"veo3"` | Google VEO 3 |
| VEO 3 Fast | `"veo3_fast"` | Faster VEO 3 variant |
| VEO 2 | `"veo2"` | Google VEO 2 |
| Kling Pro | `"kling_pro"` | Kling Pro model |
| Kling V2 | `"kling_v2"` | Kling V2 model |
| Sora V2 | `"sora_v2"` | OpenAI Sora V2 |
| Sora V2 Pro | `"sora_v2_pro"` | OpenAI Sora V2 Pro |
| Runway Gen-4 | `"runway_gen4"` | Runway Gen-4 |
| Seedance Lite | `"seedance_lite"` | Seedance Lite |
| Seedance Pro | `"seedance_pro"` | Seedance Pro |
| LTX Distilled | `"ltx_distilled"` | LTX Distilled (fastest) |
### 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": "GenerateVideoNode",
"input": {
"prompt": "A drone shot flying over a coastal city at golden hour, cinematic lighting",
"provider": "veo_3_1",
"aspect_ratio": "16:9"
}
}'
```
### TypeScript
```typescript
interface GenerateVideoInput {
prompt: string;
provider?: string;
aspect_ratio?: string;
reference_image_url?: string;
tail_image_url?: string;
config?: Record<string, any>;
}
interface ExecuteResponse {
data: {
execution_id: string;
status: "submitted";
};
}
async function generateVideo(input: GenerateVideoInput): 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: "GenerateVideoNode",
input,
}),
});
const json: ExecuteResponse = await response.json();
return json.data.execution_id;
}
```
### Python
```python
import requests
import os
def generate_video(
prompt: str,
provider: str = "veo_3_1",
aspect_ratio: str = "16:9",
reference_image_url: str | None = None,
tail_image_url: str | None = None,
) -> str:
payload = {
"workflow_type": "GenerateVideoNode",
"input": {
"prompt": prompt,
"provider": provider,
"aspect_ratio": aspect_ratio,
},
}
if reference_image_url:
payload["input"]["reference_image_url"] = reference_image_url
if tail_image_url:
payload["input"]["tail_image_url"] = tail_image_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-v1d2e3o4",
"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-v1d2e3o4" \
-H "X-Api-Key: $HEYGEN_API_KEY"
```
### Response Format (Completed)
```json
{
"data": {
"execution_id": "node-gw-v1d2e3o4",
"status": "completed",
"output": {
"video": {
"video_url": "https://resource.heygen.ai/generated/video.mp4",
"video_id": "abc123"
},
"asset_id": "asset-xyz789"
}
}
}
```
## Polling for Completion
```typescript
async function generateVideoAndWait(
input: GenerateVideoInput,
maxWaitMs = 600000,
pollIntervalMs = 10000
): Promise<{ video_url: string; video_id: string; asset_id: string }> {
const executionId = await generateVideo(input);
console.log(`Submitted video generation: ${executionId}`);
const startTime = Date.now();
while (Date.now() - startTime < maxWaitMs) {
const response = await fetch(
`https://api.heygen.com/v1/workflows/executions/${executionId}`,
{ headers: { "X-Api-Key": process.env.HEYGEN_API_KEY! } }
);
const { data } = await response.json();
switch (data.status) {
case "completed":
return {
video_url: data.output.video.video_url,
video_id: data.output.video.video_id,
asset_id: data.output.asset_id,
};
case "failed":
throw new Error(data.error?.message || "Video generation failed");
case "not_found":
throw new Error("Workflow not found");
default:
await new Promise((r) => setTimeout(r, pollIntervalMs));
}
}
throw new Error("Video generation timed out");
}
```
## Usage Examples
### Simple Text-to-Video
```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": "GenerateVideoNode",
"input": {
"prompt": "A person walking through a sunlit park, shallow depth of field"
}
}'
```
### Image-to-Video
```json
{
"workflow_type": "GenerateVideoNode",
"input": {
"prompt": "Animate this product photo with a slow zoom and soft particle effects",
"reference_image_url": "https://example.com/product-photo.png",
"provider": "kling_pro"
}
}
```
### Vertical Format for Social Media
```json
{
"workflow_type": "GenerateVideoNode",
"input": {
"prompt": "A trendy coffee shop interior, camera slowly panning across the counter",
"aspect_ratio": "9:16",
"provider": "veo_3_1"
}
}
```
### Fast Generation with LTX
```json
{
"workflow_type": "GenerateVideoNode",
"input": {
"prompt": "Abstract colorful shapes morphing and flowing",
"provider": "ltx_distilled"
}
}
```
## Best Practices
1. **Be descriptive in prompts** — include camera movement, lighting, style, and mood details
2. **Default to VEO 3.1** for highest quality; use `ltx_distilled` or `veo3_fast` when speed matters
3. **Use reference images** for image-to-video generation — great for animating product photos or still images
4. **Video generation is the slowest workflow** — allow up to 5 minutes, poll every 10 seconds
5. **Aspect ratio matters** — use `9:16` for social media stories/reels, `16:9` for landscape, `1:1` for square
6. **Output includes `asset_id`** — use this to reference the generated video in other HeyGen workflows
7. **Output URLs are temporary** — download or save generated videos promptlyMore General & Other skills
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