# BiRefNet

> State-of-the-art open-source background removal (BiRefNet). High-fidelity dichotomous image segmentation with excellent edge quality on hair and fine details.

- **Provider**: replicate
- **Model ID**: men1scus/birefnet
- **Category**: background_removal
- **Credits**: 5 per request
- **Pricing Type**: fixed

## API Endpoint

Base URL: https://api.core.today/v1

### Create Prediction
POST /predictions

### Get Status
GET /predictions/{job_id}

### Cancel
DELETE /predictions/{job_id}

## Authentication

Header: `X-API-Key: YOUR_API_KEY`

## Input Parameters

- `image` (string, **required**): Input image
- `resolution` (string, optional): Resolution in WxH format, e.g., '1024x1024' (Default: ``)

## Example Request

```json
{
  "model": "men1scus/birefnet",
  "input": {
    "image": "https://replicate.delivery/pbxt/LLcFnHRq5MfjLpWbnLXZEtZIVn1io5sKf2lDnfQrh6tmcFK9/dog.jpg"
  }
}
```

## Response Format

```json
{
  "job_id": "abc123",
  "status": "pending",
  "provider": "replicate",
  "model": "black-forest-labs/flux-schnell",
  "created_at": "2026-01-01T00:00:00Z",
  "result": null,
  "error": null
}
```

Status values: `pending`, `processing`, `completed`, `failed`, `cancelled`

## Usage Flow

1. POST /predictions with model and input → receive job_id
2. Poll GET /predictions/{job_id} until status is `completed` or `failed`
3. Result contains output URL(s) or data

## Output Type

url

## Tags

background-removal, segmentation, birefnet, high-fidelity, open-source

## Documentation

https://replicate.com/men1scus/birefnet