# FLUX.1 Kontext [pro]

> FLUX.1 Kontext [pro] handles both text and reference images as inputs, seamlessly enabling targeted, local edits and complex transformations of entire scenes.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/flux-pro/kontext`
- **Model ID**: `fal-ai/flux-pro/kontext`
- **Category**: image-to-image
- **Kind**: inference


## Pricing

- **Price**: $0.04 per images

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 an image from.
  - Examples: "Put a donut next to the flour."

- **`seed`** (`integer`, _optional_):
  The same seed and the same prompt given to the same version of the model
  will output the same image every time.

- **`guidance_scale`** (`float`, _optional_):
  The CFG (Classifier Free Guidance) scale is a measure of how close you want
  the model to stick to your prompt when looking for a related image to show you. Default value: `3.5`
  - Default: `3.5`
  - Range: `1` to `20`

- **`sync_mode`** (`boolean`, _optional_):
  If `True`, the media will be returned as a data URI and the output data won't be available in the request history.
  - Default: `false`

- **`num_images`** (`integer`, _optional_):
  The number of images to generate. Default value: `1`
  - Default: `1`
  - Range: `1` to `4`

- **`output_format`** (`OutputFormatEnum`, _optional_):
  The format of the generated image. Default value: `"jpeg"`
  - Default: `"jpeg"`
  - Options: `"jpeg"`, `"png"`

- **`safety_tolerance`** (`SafetyToleranceEnum`, _optional_):
  The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive. Default value: `"2"`
  - Default: `"2"`
  - Options: `"1"`, `"2"`, `"3"`, `"4"`, `"5"`, `"6"`

- **`enhance_prompt`** (`boolean`, _optional_):
  Whether to enhance the prompt for better results.
  - Default: `false`

- **`aspect_ratio`** (`Enum`, _optional_):
  The aspect ratio of the generated image.
  - Options: `"21:9"`, `"16:9"`, `"4:3"`, `"3:2"`, `"1:1"`, `"2:3"`, `"3:4"`, `"9:16"`, `"9:21"`

- **`image_url`** (`string`, _required_):
  Image prompt for the omni model.
  - Examples: "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"



**Required Parameters Example**:

```json
{
  "prompt": "Put a donut next to the flour.",
  "image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
}
```

**Full Example**:

```json
{
  "prompt": "Put a donut next to the flour.",
  "guidance_scale": 3.5,
  "num_images": 1,
  "output_format": "jpeg",
  "safety_tolerance": "2",
  "image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<fal__toolkit__image__image__Image>`, _required_):
  The generated image files info.
  - Array of fal__toolkit__image__image__Image
  - Examples: [{"url":"https://fal.media/files/tiger/7dSJbIU_Ni-0Zp9eaLsvR_fe56916811d84ac69c6ffc0d32dca151.jpg","width":1024,"height":1024}]

- **`timings`** (`Timings`, _required_)

- **`seed`** (`integer`, _required_):
  Seed of the generated Image. It will be the same value of the one passed in the
  input or the randomly generated that was used in case none was passed.

- **`has_nsfw_concepts`** (`list<boolean>`, _required_):
  Whether the generated images contain NSFW concepts.
  - Array of boolean

- **`prompt`** (`string`, _required_):
  The prompt used for generating the image.



**Example Response**:

```json
{
  "images": [
    {
      "url": "https://fal.media/files/tiger/7dSJbIU_Ni-0Zp9eaLsvR_fe56916811d84ac69c6ffc0d32dca151.jpg",
      "width": 1024,
      "height": 1024
    }
  ],
  "prompt": ""
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/flux-pro/kontext \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Put a donut next to the flour.",
     "image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
   }'
```

### 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/flux-pro/kontext",
    arguments={
        "prompt": "Put a donut next to the flour.",
        "image_url": "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
    },
    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/flux-pro/kontext", {
  input: {
    prompt: "Put a donut next to the flour.",
    image_url: "https://v3.fal.media/files/rabbit/rmgBxhwGYb2d3pl3x9sKf_output.png"
  },
  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/flux-pro/kontext)
- [API Documentation](https://fal.ai/models/fal-ai/flux-pro/kontext/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/flux-pro/kontext)

### 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)