runway
$
npx mdskill add vm0-ai/vm0-skills/runwayGenerate AI videos from text or images via Runway ML API
- Creates video content from text prompts or source images
- Integrates with Runway ML Gen-2 and Gen-4 Turbo models
- Executes requests using Bearer token authentication and version headers
- Returns task IDs for asynchronous video generation processing
SKILL.md
.github/skills/runwayView on GitHub ↗
---
name: runway
description: Runway ML API for AI video generation. Use when user mentions "Runway",
"Runway ML", "AI video", "Gen-2", or video generation.
---
## Troubleshooting
If requests fail, run `zero doctor check-connector --env-name RUNWAY_TOKEN` or `zero doctor check-connector --url https://api.dev.runwayml.com/v1/organization --method GET`
## How to Use
All examples below assume you have `RUNWAY_TOKEN` set.
Base URL: `https://api.dev.runwayml.com/v1`
**Required headers for all requests:**
- `Authorization: Bearer ${RUNWAY_TOKEN}`
- `X-Runway-Version: 2024-11-06`
- `Content-Type: application/json`
### 1. Check Organization Credits
Check your credit balance:
```bash
curl -s -X GET "https://api.dev.runwayml.com/v1/organization" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06"
```
### 2. Image to Video
Generate a video from an image:
Write to `/tmp/runway_request.json`:
```json
{
"model": "gen4_turbo",
"promptImage": "https://example.com/your-image.jpg",
"promptText": "A timelapse of clouds moving across the sky",
"ratio": "1280:720",
"duration": 5
}
```
Then run:
```bash
curl -s -X POST "https://api.dev.runwayml.com/v1/image_to_video" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06" --header "Content-Type: application/json" -d @/tmp/runway_request.json
```
**Response:**
```json
{
"id": "task-id-here"
}
```
### 3. Text to Video
Generate a video from text only:
> **Note:** Text-to-video only supports duration values of 4, 6, or 8 seconds (not arbitrary values like image-to-video).
Write to `/tmp/runway_request.json`:
```json
{
"model": "veo3.1",
"promptText": "A serene forest with sunlight filtering through the trees",
"ratio": "1280:720",
"duration": 6
}
```
Then run:
```bash
curl -s -X POST "https://api.dev.runwayml.com/v1/text_to_video" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06" --header "Content-Type: application/json" -d @/tmp/runway_request.json
```
### 4. Video to Video
Transform an existing video:
Write to `/tmp/runway_request.json`:
```json
{
"model": "gen4_aleph",
"videoUri": "https://example.com/source-video.mp4",
"promptText": "Add magical sparkles and fairy dust effects",
"ratio": "1280:720"
}
```
Then run:
```bash
curl -s -X POST "https://api.dev.runwayml.com/v1/video_to_video" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06" --header "Content-Type: application/json" -d @/tmp/runway_request.json
```
### 5. Text to Image
Generate images from text:
Write to `/tmp/runway_request.json`:
```json
{
"model": "gen4_image_turbo",
"promptText": "A futuristic cityscape at sunset",
"ratio": "1920:1080",
"referenceImages": []
}
```
Then run:
```bash
curl -s -X POST "https://api.dev.runwayml.com/v1/text_to_image" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06" --header "Content-Type: application/json" -d @/tmp/runway_request.json
```
### 6. Check Task Status
Poll for task completion. Replace `<your-task-id>` with the actual task ID:
```bash
curl -s -X GET "https://api.dev.runwayml.com/v1/tasks/<your-task-id>" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06"
```
**Response when complete:**
```json
{
"id": "task-id",
"status": "SUCCEEDED",
"output": ["https://cdn.runwayml.com/generated-video.mp4"]
}
```
**Possible statuses:** `PENDING`, `RUNNING`, `SUCCEEDED`, `FAILED`
### 7. Cancel a Task
Cancel a running task. Replace `<your-task-id>` with the actual task ID:
```bash
curl -s -X DELETE "https://api.dev.runwayml.com/v1/tasks/<your-task-id>" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06"
```
### 8. Video Upscale (4X)
Upscale video resolution:
Write to `/tmp/runway_request.json`:
```json
{
"model": "upscale_v1",
"videoUri": "https://example.com/low-res-video.mp4"
}
```
Then run:
```bash
curl -s -X POST "https://api.dev.runwayml.com/v1/video_upscale" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06" --header "Content-Type: application/json" -d @/tmp/runway_request.json
```
### 9. Generate Sound Effects
Generate audio from text:
Write to `/tmp/runway_request.json`:
```json
{
"model": "eleven_text_to_sound_v2",
"promptText": "Thunder rumbling in the distance"
}
```
Then run:
```bash
curl -s -X POST "https://api.dev.runwayml.com/v1/sound_effect" --header "Authorization: Bearer $RUNWAY_TOKEN" --header "X-Runway-Version: 2024-11-06" --header "Content-Type: application/json" -d @/tmp/runway_request.json
```
## Available Models
| Endpoint | Models |
|----------|--------|
| Image to Video | `gen4_turbo`, `gen3a_turbo`, `veo3.1`, `veo3` |
| Text to Video | `veo3.1`, `veo3.1_fast`, `veo3` |
| Video to Video | `gen4_aleph` |
| Text to Image | `gen4_image_turbo`, `gen4_image` |
| Video Upscale | `upscale_v1` |
## Aspect Ratios
Common ratios for video generation:
- `1280:720` (16:9 landscape)
- `720:1280` (9:16 portrait)
- `1024:1024` (1:1 square)
## Guidelines
1. **Poll for completion**: Video generation is async; poll `/tasks/{id}` until status is `SUCCEEDED`
2. **Use appropriate models**: `gen4_turbo` is faster, `gen4_aleph` for video-to-video
3. **Download promptly**: Output URLs may expire after some time
4. **Monitor credits**: Check `/organization` endpoint to track usage
5. **Handle rate limits**: API returns 429 when rate limited; add delays