# LTX Video 2.0 Fast

> Create high-fidelity video with audio from text with LTX-2 Fast


## Overview

- **Endpoint**: `https://fal.run/fal-ai/ltx-2/text-to-video/fast`
- **Model ID**: `fal-ai/ltx-2/text-to-video/fast`
- **Category**: text-to-video
- **Kind**: inference


## Pricing

Your request will cost $0.04 per second for 1080p, $0.08 per second for 1440p or $0.16 per second for 2160p.

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 prompt to generate the video from
  - Examples: "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain."

- **`duration`** (`DurationEnum`, _optional_):
  The duration of the generated video in seconds. The fast model supports 6-20 seconds. Note: Durations longer than 10 seconds (12, 14, 16, 18, 20) are only supported with 25 FPS and 1080p resolution. Default value: `"6"`
  - Default: `6`
  - Options: `6`, `8`, `10`, `12`, `14`, `16`, `18`, `20`

- **`resolution`** (`ResolutionEnum`, _optional_):
  The resolution of the generated video Default value: `"1080p"`
  - Default: `"1080p"`
  - Options: `"1080p"`, `"1440p"`, `"2160p"`

- **`fps`** (`FramesperSecondEnum`, _optional_):
  The frames per second of the generated video Default value: `"25"`
  - Default: `25`
  - Options: `25`, `50`

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



**Required Parameters Example**:

```json
{
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain."
}
```

**Full Example**:

```json
{
  "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain.",
  "duration": 6,
  "resolution": "1080p",
  "fps": 25,
  "generate_audio": true
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`VideoFile`, _required_):
  The generated video file
  - Examples: {"file_name":"ltxv-2-t2v-output.mp4","content_type":"video/mp4","url":"https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-t2v-output.mp4"}



**Example Response**:

```json
{
  "video": {
    "file_name": "ltxv-2-t2v-output.mp4",
    "content_type": "video/mp4",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-t2v-output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/ltx-2/text-to-video/fast \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain."
   }'
```

### 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/ltx-2/text-to-video/fast",
    arguments={
        "prompt": "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain."
    },
    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/ltx-2/text-to-video/fast", {
  input: {
    prompt: "A cowboy walking through a dusty town at high noon, camera following from behind, cinematic depth, realistic lighting, western mood, 4K film grain."
  },
  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/ltx-2/text-to-video/fast)
- [API Documentation](https://fal.ai/models/fal-ai/ltx-2/text-to-video/fast/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/ltx-2/text-to-video/fast)

### 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)