# Fibo Edit

> A high-quality editing model that achieves maximum controllability and transparency by combining JSON + Mask + Image.


## Overview

- **Endpoint**: `https://fal.run/bria/fibo-edit/edit`
- **Model ID**: `bria/fibo-edit/edit`
- **Category**: image-to-image
- **Kind**: inference
**Tags**: bria, fibo-edit, image-editing, json



## 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:


- **`image_url`** (`string`, _optional_):
  Reference image (file or URL).
  - Examples: "https://v3b.fal.media/files/b/0a8b07e8/GYKVk2EVivg_MC3jRRZi3_png%20-%202026-01-13T094835.850%20(3).png"

- **`mask_url`** (`string`, _optional_):
  Mask image (file or URL). Optional

- **`instruction`** (`string`, _optional_):
  Instruction for image editing.
  - Examples: "change lighting to starlight nighttime"

- **`structured_instruction`** (`StructuredInstruction`, _optional_):
  The structured prompt to generate an image from.

- **`seed`** (`integer`, _optional_):
  Random seed for reproducibility. Default value: `5555`
  - Default: `5555`

- **`steps_num`** (`integer`, _optional_):
  Number of inference steps. Default value: `30`
  - Default: `30`
  - Range: `20` to `50`

- **`negative_prompt`** (`string`, _optional_):
  Negative prompt for image generation. Default value: `""`
  - Default: `""`

- **`guidance_scale`** (`float | integer`, _optional_):
  Guidance scale for text. Default value: `5`
  - Default: `5`
  - One of: float | integer

- **`sync_mode`** (`boolean`, _optional_):
  If true, returns the image directly in the response (increases latency).
  - Default: `false`



**Required Parameters Example**:

```json
{}
```

**Full Example**:

```json
{
  "image_url": "https://v3b.fal.media/files/b/0a8b07e8/GYKVk2EVivg_MC3jRRZi3_png%20-%202026-01-13T094835.850%20(3).png",
  "instruction": "change lighting to starlight nighttime",
  "seed": 5555,
  "steps_num": 30,
  "guidance_scale": 5
}
```


### Output Schema

The API returns the following output format:

- **`image`** (`Image`, _required_):
  Generated image.

- **`images`** (`list<Image>`, _optional_):
  Generated images.
  - Default: `[]`
  - Array of Image
  - Examples: [{"url":"https://bria-datasets.s3.us-east-1.amazonaws.com/Liza/ewT7wv-jMgkqs7z7xQNNL_e8707c299d034feab7a64d903118098f.png"}]

- **`structured_instruction`** (`Structured Instruction`, _required_):
  Current instruction.



**Example Response**:

```json
{
  "image": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019,
    "width": 1024,
    "height": 1024
  },
  "images": [
    {
      "url": "https://bria-datasets.s3.us-east-1.amazonaws.com/Liza/ewT7wv-jMgkqs7z7xQNNL_e8707c299d034feab7a64d903118098f.png"
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/bria/fibo-edit/edit \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{}'
```

### 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(
    "bria/fibo-edit/edit",
    arguments={},
    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("bria/fibo-edit/edit", {
  input: {},
  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/bria/fibo-edit/edit)
- [API Documentation](https://fal.ai/models/bria/fibo-edit/edit/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=bria/fibo-edit/edit)

### 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)