# Kling 2.1 Master

> Kling 2.1 Master: The premium endpoint for Kling 2.1, designed for 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/v2.1/master/image-to-video`
- **Model ID**: `fal-ai/kling-video/v2.1/master/image-to-video`
- **Category**: image-to-video
- **Kind**: inference
**Tags**: _marquee-video-model



## Pricing

For **5s** video your request will cost **$1.40**. For every additional second you will be charged $0.28.

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: "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring.  The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation."

- **`image_url`** (`string`, _required_):
  URL of the image to be used for the video
  - Examples: "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"

- **`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`



**Required Parameters Example**:

```json
{
  "prompt": "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring.  The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
  "image_url": "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"
}
```

**Full Example**:

```json
{
  "prompt": "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring.  The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
  "image_url": "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp",
  "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://v3.fal.media/files/rabbit/YuUWKFq508zzWIiQ0i2vt_output.mp4"}



**Example Response**:

```json
{
  "video": {
    "url": "https://v3.fal.media/files/rabbit/YuUWKFq508zzWIiQ0i2vt_output.mp4"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/kling-video/v2.1/master/image-to-video \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring.  The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
     "image_url": "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"
   }'
```

### 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/v2.1/master/image-to-video",
    arguments={
        "prompt": "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring.  The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
        "image_url": "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"
    },
    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/v2.1/master/image-to-video", {
  input: {
    prompt: "Sunlight dapples through budding branches, illuminating a vibrant tapestry of greens and browns as a pair of robins meticulously weave twigs and mud into a cradle of life, their tiny forms a whirlwind of activity against a backdrop of blossoming spring.  The scene unfolds with a gentle, observational pace, allowing the viewer to fully appreciate the intricate details of nest construction, the soft textures of downy feathers contrasted against the rough bark of the branches, the delicate balance of strength and fragility in their creation.",
    image_url: "https://v3.fal.media/files/zebra/9Nrm22YyLojSTPJbZYNhh_image.webp"
  },
  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/v2.1/master/image-to-video)
- [API Documentation](https://fal.ai/models/fal-ai/kling-video/v2.1/master/image-to-video/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/kling-video/v2.1/master/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)