# Vidu

> Use the latest Vidu Q2 models which much more better quality and control on your videos.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/vidu/q2/text-to-video`
- **Model ID**: `fal-ai/vidu/q2/text-to-video`
- **Category**: text-to-video
- **Kind**: inference


## Pricing

The model will cost 0.1 $ for every 360p video, 0.2 $ for every 520p video, 0.3 $ for 720 p video. For 1080 p the cost would be 0.2 $ along with 0.1 $ for every video second.

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_):
  Text prompt for video generation, max 3000 characters
  - Examples: "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers."

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. If None, a random seed is chosen.

- **`duration`** (`DurationEnum`, _optional_):
  Duration of the video in seconds Default value: `"4"`
  - Default: `4`
  - Options: `2`, `3`, `4`, `5`, `6`, `7`, `8`

- **`resolution`** (`ResolutionEnum`, _optional_):
  Output video resolution Default value: `"720p"`
  - Default: `"720p"`
  - Options: `"360p"`, `"520p"`, `"720p"`, `"1080p"`

- **`aspect_ratio`** (`AspectRatioEnum`, _optional_):
  The aspect ratio of the output video Default value: `"16:9"`
  - Default: `"16:9"`
  - Options: `"16:9"`, `"9:16"`, `"1:1"`

- **`movement_amplitude`** (`MovementAmplitudeEnum`, _optional_):
  The movement amplitude of objects in the frame Default value: `"auto"`
  - Default: `"auto"`
  - Options: `"auto"`, `"small"`, `"medium"`, `"large"`

- **`bgm`** (`boolean`, _optional_):
  Whether to add background music to the video (only for 4-second videos)
  - Default: `false`



**Required Parameters Example**:

```json
{
  "prompt": "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers."
}
```

**Full Example**:

```json
{
  "prompt": "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers.",
  "duration": 4,
  "resolution": "720p",
  "aspect_ratio": "16:9",
  "movement_amplitude": "auto"
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video from text using the Q2 model
  - Examples: {"url":"https://fal.media/files/penguin/sUYfE1bo3z5Gds7pSuFHD_output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://fal.media/files/penguin/sUYfE1bo3z5Gds7pSuFHD_output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/vidu/q2/text-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers."
   }'
```

### 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/vidu/q2/text-to-video",
    arguments={
        "prompt": "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers."
    },
    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/vidu/q2/text-to-video", {
  input: {
    prompt: "A cinematic shot of a futuristic city at sunset, with flying cars and towering skyscrapers."
  },
  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/vidu/q2/text-to-video)
- [API Documentation](https://fal.ai/models/fal-ai/vidu/q2/text-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/vidu/q2/text-to-video)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`