# Kling Video

> Kling 2.5 Turbo Pro: Top-tier image-to-video generation with unparalleled motion fluidity, cinematic visuals, and exceptional prompt precision.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/kling-video/v2.5-turbo/pro/image-to-video`
- **Model ID**: `fal-ai/kling-video/v2.5-turbo/pro/image-to-video`
- **Category**: image-to-video
- **Kind**: inference
**Tags**: stylized, transform



## Pricing

For **5s** video your request will cost **$0.35**. For every additional second you will be charged **$0.07.**

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_)
  - Examples: "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they vie for victory."

- **`image_url`** (`string`, _required_):
  URL of the image to be used for the video
  - Examples: "https://v3.fal.media/files/panda/HnY2yf-BbzlrVQxR-qP6m_9912d0932988453aadf3912fc1901f52.jpg"

- **`duration`** (`DurationEnum`, _optional_):
  The duration of the generated video in seconds Default value: `"5"`
  - Default: `"5"`
  - Options: `"5"`, `"10"`

- **`negative_prompt`** (`string`, _optional_):
   Default value: `"blur, distort, and low quality"`
  - Default: `"blur, distort, and low quality"`

- **`cfg_scale`** (`float`, _optional_):
  The CFG (Classifier Free Guidance) scale is a measure of how close you want
  the model to stick to your prompt. Default value: `0.5`
  - Default: `0.5`
  - Range: `0` to `1`

- **`tail_image_url`** (`string`, _optional_):
  URL of the image to be used for the end of the video



**Required Parameters Example**:

```json
{
  "prompt": "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they vie for victory.",
  "image_url": "https://v3.fal.media/files/panda/HnY2yf-BbzlrVQxR-qP6m_9912d0932988453aadf3912fc1901f52.jpg"
}
```

**Full Example**:

```json
{
  "prompt": "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they vie for victory.",
  "image_url": "https://v3.fal.media/files/panda/HnY2yf-BbzlrVQxR-qP6m_9912d0932988453aadf3912fc1901f52.jpg",
  "duration": "5",
  "negative_prompt": "blur, distort, and low quality",
  "cfg_scale": 0.5
}
```


### Output Schema

The API returns the following output format:

- **`video`** (`File`, _required_):
  The generated video
  - Examples: {"url":"https://storage.googleapis.com/falserverless/model_tests/kling/kling-v2.5-turbo-pro-image-to-video-output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://storage.googleapis.com/falserverless/model_tests/kling/kling-v2.5-turbo-pro-image-to-video-output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/kling-video/v2.5-turbo/pro/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they vie for victory.",
     "image_url": "https://v3.fal.media/files/panda/HnY2yf-BbzlrVQxR-qP6m_9912d0932988453aadf3912fc1901f52.jpg"
   }'
```

### 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/kling-video/v2.5-turbo/pro/image-to-video",
    arguments={
        "prompt": "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they vie for victory.",
        "image_url": "https://v3.fal.media/files/panda/HnY2yf-BbzlrVQxR-qP6m_9912d0932988453aadf3912fc1901f52.jpg"
    },
    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/kling-video/v2.5-turbo/pro/image-to-video", {
  input: {
    prompt: "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they vie for victory.",
    image_url: "https://v3.fal.media/files/panda/HnY2yf-BbzlrVQxR-qP6m_9912d0932988453aadf3912fc1901f52.jpg"
  },
  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/kling-video/v2.5-turbo/pro/image-to-video)
- [API Documentation](https://fal.ai/models/fal-ai/kling-video/v2.5-turbo/pro/image-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/kling-video/v2.5-turbo/pro/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)