# Bria RMBG 2.0

> Bria RMBG 2.0 enables seamless removal of backgrounds from images, ideal for professional editing tasks. Trained exclusively on licensed data for safe and risk-free commercial use. Model weights for commercial use are available here: https://share-eu1.hsforms.com/2GLpEVQqJTI2Lj7AMYwgfIwf4e04


## Overview

- **Endpoint**: `https://fal.run/fal-ai/bria/background/remove`
- **Model ID**: `fal-ai/bria/background/remove`
- **Category**: image-to-image
- **Kind**: inference
**Tags**: background removal, image segmentation, high resolution, utility, rembg



## Pricing

Your request will cost **$0.018** per image without a prompt and **$0.03** per image with a prompt.


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`, _required_):
  Input Image to erase from
  - Examples: "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg"

- **`prompt`** (`string`, _optional_):
  Optional. Change what the cutout keeps in plain words: add ('the person with the mat'), drop ('without the lamp') or narrow ('only the chair'). Billed at $0.03 instead of $0.018.
  - Examples: "the person with the mat and the plant"

- **`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`



**Required Parameters Example**:

```json
{
  "image_url": "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg"
}
```

**Full Example**:

```json
{
  "image_url": "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg",
  "prompt": "the person with the mat and the plant"
}
```


### Output Schema

The API returns the following output format:

- **`image`** (`Image`, _required_):
  The generated image
  - Examples: {"url":"https://v3.fal.media/files/tiger/GQEMNjRyxSoza7N8LPPqb_070c731993e949d993c10ef6283d335d.png","content_type":"image/png","file_size":1076276,"height":1024,"file_name":"070c731993e949d993c10ef6283d335d.png","width":1024}



**Example Response**:

```json
{
  "image": {
    "url": "https://v3.fal.media/files/tiger/GQEMNjRyxSoza7N8LPPqb_070c731993e949d993c10ef6283d335d.png",
    "content_type": "image/png",
    "file_size": 1076276,
    "height": 1024,
    "file_name": "070c731993e949d993c10ef6283d335d.png",
    "width": 1024
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/bria/background/remove \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "image_url": "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg"
   }'
```

### 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/bria/background/remove",
    arguments={
        "image_url": "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg"
    },
    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/bria/background/remove", {
  input: {
    image_url: "https://fal.media/files/panda/K5Rndvzmn1j-OI1VZXDVd.jpeg"
  },
  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/bria/background/remove)
- [API Documentation](https://fal.ai/models/fal-ai/bria/background/remove/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/bria/background/remove)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`