# Veo 3.1 Fast

> Generate stunning 8-second videos at 720p or 1080p with native audio, 24fps, and multi-modal inputs via text, image, or video in a fast, efficient pipeline ideal for cinematic AI video production.

## Overview

- **Model ID**: `veo-3.1-fast`
- **Category**: video
- **Provider**: google
- **Status**: model_ready
- **Screenshot**: `https://assets.modelslab.com/generations/fd31caca-6c69-44ac-a97b-05bd8c4383fe.webp`

## API Information

This model can be used via our HTTP API. See the API documentation and usage examples below.

### Endpoint

- **URL**: `https://modelslab.com/api/v7/video-fusion/text-to-video`
- **Method**: POST

### Parameters

- **`prompt`** (required): 
  - Type: textarea
  - Example: Enter prompt for video

- **`aspect_ratio`** (required): The aspect ratio of the generated video — 16:9 is wide, 9:16 for Vertical video generation 
  - Type: select (options: 16:9, 9:16)

- **`model_id`** (optional): model_id is required for selecting the right model for API
  - Type: text

- **`duration`** (required): Veo 3 models: 4, 6, or 8. The default is 8.
  - Type: select (options: 8s, 6s, 4s)

- **`generate_audio`** (required): Determines whether audio should be generated for the video. Default is true.
  - Type: toggle

- **`negative_prompt`** (optional): A negative prompt that specifies what should be avoided during video generation.
  - Type: textarea

- **`enhance_prompt`** (optional): Engance your given prompt. Default true
  - Type: toggle

## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://modelslab.com/api/v7/video-fusion/text-to-video \
  --header "Content-Type: application/json" \
  --data '{
    "key": "YOUR_API_KEY",
    "model_id": "veo-3.1-fast",
    "prompt": "Close-up, cinematic TV commercial shot. A woman in her 30s takes her first sip of coffee on a small balcony overlooking a quiet city street at dawn. She’s wrapped in a cozy, oversized sweater; morning light softly brushes her face, highlighting delicate steam rising from the mug. The cold air is visible in gentle wisps, curling past her cheek. Her shoulders relax as warmth spreads through her, eyes closing briefly in a subtle, authentic moment of comfort. The scene captures intimacy and realism, with soft focus on her expression, shallow depth of field on the background city street, warm color tones, and soft ambient morning sounds or gentle background music.",
    "aspect_ratio": "16:9",
    "duration": "8",
    "generate_audio": false,
    "negative_prompt": "example_negative_prompt",
    "enhance_prompt": false
  }'
```

### Python

```python
import requests

response = requests.post(
    "https://modelslab.com/api/v7/video-fusion/text-to-video",
    headers={
        "Content-Type": "application/json"
    },
    json={
        "key": "YOUR_API_KEY",
        "model_id": "veo-3.1-fast",
        "prompt": "Close-up, cinematic TV commercial shot. A woman in her 30s takes her first sip of coffee on a small balcony overlooking a quiet city street at dawn. She’s wrapped in a cozy, oversized sweater; morning light softly brushes her face, highlighting delicate steam rising from the mug. The cold air is visible in gentle wisps, curling past her cheek. Her shoulders relax as warmth spreads through her, eyes closing briefly in a subtle, authentic moment of comfort. The scene captures intimacy and realism, with soft focus on her expression, shallow depth of field on the background city street, warm color tones, and soft ambient morning sounds or gentle background music.",
        "aspect_ratio": "16:9",
        "duration": "8",
        "generate_audio": False,
        "negative_prompt": "example_negative_prompt",
        "enhance_prompt": False
    }
)

print(response.json())
```

### JavaScript

```javascript
fetch("https://modelslab.com/api/v7/video-fusion/text-to-video", {
  method: "POST",
  headers: {
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "key": "YOUR_API_KEY",
    "model_id": "veo-3.1-fast",
    "prompt": "Close-up, cinematic TV commercial shot. A woman in her 30s takes her first sip of coffee on a small balcony overlooking a quiet city street at dawn. She’s wrapped in a cozy, oversized sweater; morning light softly brushes her face, highlighting delicate steam rising from the mug. The cold air is visible in gentle wisps, curling past her cheek. Her shoulders relax as warmth spreads through her, eyes closing briefly in a subtle, authentic moment of comfort. The scene captures intimacy and realism, with soft focus on her expression, shallow depth of field on the background city street, warm color tones, and soft ambient morning sounds or gentle background music.",
    "aspect_ratio": "16:9",
    "duration": "8",
    "generate_audio": false,
    "negative_prompt": "example_negative_prompt",
    "enhance_prompt": false
  })
})
.then(response => response.json())
.then(data => console.log(data));
```

## Links

- [Model Playground](https://modelslab.com/models/Veo-3.1-fast/veo-3.1-fast)
- [API Documentation](https://docs.modelslab.com)
- [ModelsLab Platform](https://modelslab.com)