# Vidu

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


## Overview

- **Endpoint**: `https://fal.run/fal-ai/vidu/q2/reference-to-video/pro`
- **Model ID**: `fal-ai/vidu/q2/reference-to-video/pro`
- **Category**: image-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 2000 characters
  - Examples: "@Figure 1 Character Reference@Refer to the special effects, movements, and camera work of Video 1."

- **`reference_image_urls`** (`list<string>`, _optional_):
  URLs of the reference images for subject appearance. If videos are provided, up to 4 images are allowed; otherwise up to 7 images.
  - Array of string
  - Examples: ["https://storage.googleapis.com/falserverless/model_tests/video_models/vidu-image-3123041388101890.png"]

- **`reference_video_urls`** (`list<string>`, _optional_):
  URLs of the reference videos for video editing or motion reference. Supports up to 2 videos.
  - Array of string
  - Examples: ["https://storage.googleapis.com/falserverless/model_tests/video_models/vidu-video-3123002003131623.mp4"]

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

- **`duration`** (`integer`, _optional_):
  Duration of the video in seconds (0 for automatic duration) Default value: `4`
  - Default: `4`
  - Range: `1` to `8`

- **`resolution`** (`ResolutionEnum`, _optional_):
  Output video resolution Default value: `"720p"`
  - Default: `"720p"`
  - Options: `"540p"`, `"720p"`, `"1080p"`

- **`aspect_ratio`** (`string`, _optional_):
  Aspect ratio of the output video (e.g., auto, 16:9, 9:16, 1:1, or any W:H) Default value: `"16:9"`
  - Default: `"16:9"`

- **`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 generated video
  - Default: `false`



**Required Parameters Example**:

```json
{
  "prompt": "@Figure 1 Character Reference@Refer to the special effects, movements, and camera work of Video 1."
}
```

**Full Example**:

```json
{
  "prompt": "@Figure 1 Character Reference@Refer to the special effects, movements, and camera work of Video 1.",
  "reference_image_urls": [
    "https://storage.googleapis.com/falserverless/model_tests/video_models/vidu-image-3123041388101890.png"
  ],
  "reference_video_urls": [
    "https://storage.googleapis.com/falserverless/model_tests/video_models/vidu-video-3123002003131623.mp4"
  ],
  "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 with video/image references using the Q2 Pro model
  - Examples: {"url":"https://v3b.fal.media/files/b/0a8aa38a/_nfU-t1qY1HEVcDqct-M__output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://v3b.fal.media/files/b/0a8aa38a/_nfU-t1qY1HEVcDqct-M__output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/vidu/q2/reference-to-video/pro \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "@Figure 1 Character Reference@Refer to the special effects, movements, and camera work of Video 1."
   }'
```

### 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/reference-to-video/pro",
    arguments={
        "prompt": "@Figure 1 Character Reference@Refer to the special effects, movements, and camera work of Video 1."
    },
    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/reference-to-video/pro", {
  input: {
    prompt: "@Figure 1 Character Reference@Refer to the special effects, movements, and camera work of Video 1."
  },
  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/reference-to-video/pro)
- [API Documentation](https://fal.ai/models/fal-ai/vidu/q2/reference-to-video/pro/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/vidu/q2/reference-to-video/pro)

### 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)