# Veo 3.1

> Veo 3.1 by Google, the most advanced AI video generation model in the world. With sound on!


## Overview

- **Endpoint**: `https://fal.run/fal-ai/veo3.1`
- **Model ID**: `fal-ai/veo3.1`
- **Category**: text-to-video
- **Kind**: inference


## Pricing

For every second of video you generate you will be charged **$0.20** without audio or **$0.40** with audio for 720p or 1080p. At 4k, you will be charged **$0.40** per second without audio, or **$0.60** with. For example, a **5 second video** at **1080p** with **audio on** will cost **$2.00**.

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`prompt`** (`string`, _required_):
  The text prompt describing the video you want to generate
  - Examples: "Two person street interview in New York City.\nSample Dialogue:\nHost: \"Did you hear the news?\"\nPerson: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  Aspect ratio of the generated video Default value: `"16:9"`
  - Default: `"16:9"`
  - Options: `"16:9"`, `"9:16"`

- **`duration`** (`DurationEnum`, _optional_):
  The duration of the generated video. Default value: `"8s"`
  - Default: `"8s"`
  - Options: `"4s"`, `"6s"`, `"8s"`

- **`negative_prompt`** (`string`, _optional_):
  A negative prompt to guide the video generation.

- **`resolution`** (`ResolutionEnum`, _optional_):
  The resolution of the generated video. Default value: `"720p"`
  - Default: `"720p"`
  - Options: `"720p"`, `"1080p"`, `"4k"`

- **`generate_audio`** (`boolean`, _optional_):
  Whether to generate audio for the video. Default value: `true`
  - Default: `true`

- **`seed`** (`integer`, _optional_):
  The seed for the random number generator.

- **`auto_fix`** (`boolean`, _optional_):
  Whether to automatically attempt to fix prompts that fail content policy or other validation checks by rewriting them. Default value: `true`
  - Default: `true`

- **`safety_tolerance`** (`SafetyToleranceEnum`, _optional_):
  The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict. Default value: `"4"`
  - Default: `"4"`
  - Options: `"1"`, `"2"`, `"3"`, `"4"`, `"5"`, `"6"`



**Required Parameters Example**:

```json
{
  "prompt": "Two person street interview in New York City.\nSample Dialogue:\nHost: \"Did you hear the news?\"\nPerson: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
}
```

**Full Example**:

```json
{
  "prompt": "Two person street interview in New York City.\nSample Dialogue:\nHost: \"Did you hear the news?\"\nPerson: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\"",
  "aspect_ratio": "16:9",
  "duration": "8s",
  "resolution": "720p",
  "generate_audio": true,
  "auto_fix": true,
  "safety_tolerance": "4"
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video.
  - Examples: {"url":"https://v3b.fal.media/files/b/kangaroo/oUCiZjQwEy6bIQdPUSLDF_output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://v3b.fal.media/files/b/kangaroo/oUCiZjQwEy6bIQdPUSLDF_output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/veo3.1 \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Two person street interview in New York City.\nSample Dialogue:\nHost: \"Did you hear the news?\"\nPerson: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
   }'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "fal-ai/veo3.1",
    arguments={
        "prompt": "Two person street interview in New York City.
    Sample Dialogue:
    Host: \"Did you hear the news?\"
    Person: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
    },
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/veo3.1", {
  input: {
    prompt: "Two person street interview in New York City.
  Sample Dialogue:
  Host: \"Did you hear the news?\"
  Person: \"Yes! Veo 3.1 is now available on fal. If you want to see it, go check their website.\""
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/fal-ai/veo3.1)
- [API Documentation](https://fal.ai/models/fal-ai/veo3.1/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/veo3.1)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)