# FLUX 2 Turbo

> Text-to-image generation with FLUX.2 [dev] from Black Forest Labs. Enhanced realism, crisper text generation, and native editing capabilities—all at turbo speed.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/flux-2/turbo`
- **Model ID**: `fal-ai/flux-2/turbo`
- **Category**: text-to-image
- **Kind**: inference


## Pricing

- **Price**: $0.008 per megapixels

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: "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk."

- **`guidance_scale`** (`float`, _optional_):
  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: `2.5`
  - Default: `2.5`
  - Range: `0` to `20`

- **`seed`** (`integer`, _optional_):
  The seed to use for the generation. If not provided, a random seed will be used.

- **`image_size`** (`ImageSize | Enum`, _optional_):
  The size of the image to generate. The width and height must be between 512 and 2048 pixels. Default value: `landscape_4_3`
  - Default: `"landscape_4_3"`
  - One of: ImageSize | Enum

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

- **`enable_prompt_expansion`** (`boolean`, _optional_):
  If set to true, the prompt will be expanded for better results.
  - Default: `false`

- **`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`

- **`enable_safety_checker`** (`boolean`, _optional_):
  If set to true, the safety checker will be enabled. Default value: `true`
  - Default: `true`

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



**Required Parameters Example**:

```json
{
  "prompt": "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk."
}
```

**Full Example**:

```json
{
  "prompt": "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk.",
  "guidance_scale": 2.5,
  "image_size": "landscape_4_3",
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "png"
}
```


### Output Schema

The API returns the following output format:

- **`images`** (`list<ImageFile>`, _required_):
  The generated images
  - Array of ImageFile
  - Examples: [{"url":"https://storage.googleapis.com/falserverless/example_outputs/flux-2-turbo-t2i.png"}]

- **`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://storage.googleapis.com/falserverless/example_outputs/flux-2-turbo-t2i.png"
    }
  ],
  "prompt": ""
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/flux-2/turbo \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk."
   }'
```

### 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-2/turbo",
    arguments={
        "prompt": "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk."
    },
    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-2/turbo", {
  input: {
    prompt: "A realistic photograph of a vintage typewriter with a sheet of paper inserted that says 'Chapter One: The Journey Begins,' sunlight falling across the desk."
  },
  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-2/turbo)
- [API Documentation](https://fal.ai/models/fal-ai/flux-2/turbo/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/flux-2/turbo)

### 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)