# Runway Gen 4 Turbo

> Generate videos faster and cheaper with Runway Gen-4 Turbo! Create high-quality text, image, and combined video generation for rapid content creation.


## Overview

- **Endpoint**: `https://api.segmind.com/v1/runway-gen4-turbo`
- **Model ID**: `runway-gen4-turbo`
- **Category**: Image-to-Video Generation
- **Type**: Synchronous (Direct response)

- **Average Cost**: $0.5


## Pricing

| duration | cost |
| --- | --- |
| 5 | 0.5 |
| 10 | 1 |

## API Information

This model uses a **synchronous response pattern**:
1. Make a POST request with your parameters
2. Receive the output directly in the response (binary for images/videos/audio, JSON for text)
3. No polling required - response is immediate


### Input Schema

The API accepts the following input parameters:

- **`promptText`** (`string`, _required_):
  Prompt
  Text prompt to describe the desired animation effect

- **`promptImage`** (`File (URL)`, _required_):
  Image
  URL of the input image to be animated.
 A HTTPS URL pointing to an image. Images must be JPEG, PNG, or WebP and are limited to 16MB

- **`seed`** (`integer`, _optional_):
  Seed
  Seed for random generation
  - Range: 1 to 99999

- **`ratio`** (`string | null`, _optional_):
  Aspect ratio
  The aspect ratio of the output video.
  - Default: `"1280:720"`
  - Options: "1280:720" (1280:720), "720:1280" (720:1280), "1104:832" (1104:832), "832:1104" (832:1104), "960:960" (960:960), "1584:672" (1584:672)

- **`duration`** (`integer | null`, _optional_):
  Duration
  Duration of the animation in seconds
  - Default: `5`
  - Options: "5" (5), "10" (10)


**Required Parameters Example**:

```json
{
  "promptText": "as the camera pans the Brooklyn bridge gets on fire and collapse",
  "promptImage": "https://segmind-inference-inputs.s3.amazonaws.com/bfeb3c8d-e9cc-4d59-bda5-626fcb20f90d-2afac9bc-68f5-4611-aa1b-d0bae2cecf3b-bc0f7ed8-c35b-4514-84f1-5a392d6e9b8a-thewaterwascold.png"
}
```


**Full Example**:

```json
{
  "promptText": "as the camera pans the Brooklyn bridge gets on fire and collapse",
  "promptImage": "https://segmind-inference-inputs.s3.amazonaws.com/bfeb3c8d-e9cc-4d59-bda5-626fcb20f90d-2afac9bc-68f5-4611-aa1b-d0bae2cecf3b-bc0f7ed8-c35b-4514-84f1-5a392d6e9b8a-thewaterwascold.png",
  "seed": 56698,
  "ratio": "1280:720",
  "duration": "5"
}
```


### Output Schema

The API returns a synchronous response based on the model type:

**For Image/Video/Audio Models**:
- Response contains binary data (image/png, video/mp4, audio/mp3)
- Content-Type header indicates the media type
- Save the response body directly to a file

**For Text Models**:
- Response is JSON with the generated text
- Structure varies by model

**HTTP Response Codes**:
- **200 - OK**: Request successful, output in response body
- **400 - Bad Request**: Invalid parameters
- **401 - Unauthorized**: Invalid or missing API key
- **404 - Not Found**: Model not found
- **406 - Not Acceptable**: Insufficient credits
- **429 - Too Many Requests**: Rate limit exceeded
- **500 - Server Error**: Internal server error


## Usage Examples

### cURL

```bash
curl -X POST "https://api.segmind.com/v1/runway-gen4-turbo" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "promptText": "as the camera pans the Brooklyn bridge gets on fire and collapse",
  "promptImage": "https://segmind-inference-inputs.s3.amazonaws.com/bfeb3c8d-e9cc-4d59-bda5-626fcb20f90d-2afac9bc-68f5-4611-aa1b-d0bae2cecf3b-bc0f7ed8-c35b-4514-84f1-5a392d6e9b8a-thewaterwascold.png",
  "seed": 56698,
  "ratio": "1280:720",
  "duration": "5"
}'
```

### Python

```python
import requests
import json

api_key = "YOUR_API_KEY"
url = "https://api.segmind.com/v1/runway-gen4-turbo"

data = {
  "promptText": "as the camera pans the Brooklyn bridge gets on fire and collapse",
  "promptImage": "https://segmind-inference-inputs.s3.amazonaws.com/bfeb3c8d-e9cc-4d59-bda5-626fcb20f90d-2afac9bc-68f5-4611-aa1b-d0bae2cecf3b-bc0f7ed8-c35b-4514-84f1-5a392d6e9b8a-thewaterwascold.png",
  "seed": 56698,
  "ratio": "1280:720",
  "duration": "5"
}

response = requests.post(
    url,
    json=data,
    headers={
        'x-api-key': api_key,
        'Content-Type': 'application/json'
    }
)

if response.status_code == 200:
    # For image/video/audio models, response.content contains the binary data
    with open('output.png', 'wb') as f:
        f.write(response.content)
    print('Generation complete, saved to output.png')
else:
    print(f"Error: {response.status_code}")
    print(response.text)
```

### JavaScript

```javascript
const apiKey = 'YOUR_API_KEY';
const url = 'https://api.segmind.com/v1/runway-gen4-turbo';

const data = {
  "promptText": "as the camera pans the Brooklyn bridge gets on fire and collapse",
  "promptImage": "https://segmind-inference-inputs.s3.amazonaws.com/bfeb3c8d-e9cc-4d59-bda5-626fcb20f90d-2afac9bc-68f5-4611-aa1b-d0bae2cecf3b-bc0f7ed8-c35b-4514-84f1-5a392d6e9b8a-thewaterwascold.png",
  "seed": 56698,
  "ratio": "1280:720",
  "duration": "5"
};

const response = await fetch(url, {
  method: 'POST',
  headers: {
    'x-api-key': apiKey,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify(data),
});

if (response.ok) {
  // For image/video/audio models, response contains binary data
  const blob = await response.blob();
  const downloadUrl = URL.createObjectURL(blob);

  // Create download link
  const a = document.createElement('a');
  a.href = downloadUrl;
  a.download = 'output.png';
  a.click();

  console.log('Generation complete');
}
```


## Additional Resources

### Documentation

- [Model Playground](https://www.segmind.com/models/runway-gen4-turbo)
- [API Documentation](https://www.segmind.com/models/runway-gen4-turbo/api)
- [Pricing Details](https://www.segmind.com/models/runway-gen4-turbo/pricing)
- [Platform Documentation](https://docs.segmind.com/)

### Tags

No tags available