# LTX Video 2.0 Pro

> Create high-fidelity video with audio from images with LTX-2 Pro


## Overview

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


## Pricing

Your request will cost $0.06 per second for 1080p, $0.12 per second for 1440p or $0.24 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:


- **`image_url`** (`string`, _required_):
  URL of the image to generate the video from. Must be publicly accessible or base64 data URI. Supports PNG, JPEG, WebP, AVIF, and HEIF formats.
  - Examples: "https://storage.googleapis.com/falserverless/example_inputs/ltxv-2-i2v-input.jpg"

- **`prompt`** (`string`, _required_):
  The prompt to generate the video from
  - Examples: "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket."

- **`duration`** (`DurationEnum`, _optional_):
  The duration of the generated video in seconds Default value: `"6"`
  - Default: `6`
  - Options: `6`, `8`, `10`

- **`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
{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/ltxv-2-i2v-input.jpg",
  "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket."
}
```

**Full Example**:

```json
{
  "image_url": "https://storage.googleapis.com/falserverless/example_inputs/ltxv-2-i2v-input.jpg",
  "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket.",
  "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: {"content_type":"video/mp4","url":"https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-i2v-output.mp4","file_name":"ltxv-2-i2v-output.mp4"}



**Example Response**:

```json
{
  "video": {
    "content_type": "video/mp4",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/ltxv-2-i2v-output.mp4",
    "file_name": "ltxv-2-i2v-output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/ltx-2/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image_url": "https://storage.googleapis.com/falserverless/example_inputs/ltxv-2-i2v-input.jpg",
     "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket."
   }'
```

### 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/image-to-video",
    arguments={
        "image_url": "https://storage.googleapis.com/falserverless/example_inputs/ltxv-2-i2v-input.jpg",
        "prompt": "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket."
    },
    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/image-to-video", {
  input: {
    image_url: "https://storage.googleapis.com/falserverless/example_inputs/ltxv-2-i2v-input.jpg",
    prompt: "A woman stands still amid a busy neon-lit street at night. The camera slowly dollies in toward her face as people blur past, their motion emphasizing her calm presence. City lights flicker and reflections shift across her denim jacket."
  },
  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/image-to-video)
- [API Documentation](https://fal.ai/models/fal-ai/ltx-2/image-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/ltx-2/image-to-video)

### 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)