# BiRefNet V2 Background Removal API

> ᠵᠠᠯᠠᠨ 2304 px ᡩᡝ ᠣᠮᠣᠯᠣᠨᠠᠮᡝ ᠨᡳᠶᠠᠯᠮᠠ ᡳ ᠪᠠᠶᠢᠯᠭᠠᠨ ᠮᡝᠯᡤᡳᠶᡝᠮᡝ ᠪᡝ ᠮᠠᠰᡴ ᠠᠪᠠᠯᠠᠮᡝ ᠪᠠᠶᠢᠯᠭᠠᠨ ᡝᠮᡤᡝᠯᡝᠮᡝ.

BiRefNet V2 ᡩᡝ ᡩᠣᠰᡳᠮᠪᡳ ᠪᠠᠶᠢᠯᠭᠠᠨ ᡳ ᡝᠮᡠᠨᡳ ᠵᠠᠯᠠᠨ ᠮᡝᠯᡤᡳᠶᡝᠮᡝ ᠪᡝ ᠪᠠᠶᠢᠯᠭᠠᠨ ᡩᡝ ᡝᠮᡤᡝᠯᡝᠮᡝ, ᠣᠮᠣᠯᠣᠨᠠᠮᡝ ᠪᠠᠶᠢᠯᠭᠠᠨ ᡳ ᠵᠠᠯᠠᠨ (light, heavy, matting, ᠵᠠᠯᠠᠨ, dynamic) ᠪᡝ ᠰᠣᠩᡤᠣᠯᠣᠮᡝ ᠪᡳᠮᠪᡳ, ᠵᠠᠯᠠᠨ ᠰᠠᠶᠢᠨ ᠣᠯᠠᠨ 2304x2304 ᡩᡝ ᠣᠮᠣᠯᠣᠨᠠᠮᡝ. ᠵᠠᠯᠠᠨ ᠮᠠᠰᡴᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᠠᠶᠢᠯᠭᠠᠨ ᡩᡝ ᠣᠮᠣᠯᠣᠨᠠᠮᡝ, ᠮᠠᠰᡴ ᠪᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠪᡳᠮᠪᡳ PNG, WebP ᠪᡝ GIF ᡩᡝ.

- Model id: `birefnet/v2`
- Made by: BiRefNet
- Category: Background Removal
- Output: image
- Estimated price per run: $0.002 / run (cheapest run $0.002 (2 API credits))
- Run: `POST https://api.doitong.ru/v1/run/birefnet/v2`
- Quote: `POST https://api.doitong.ru/v1/quote/birefnet/v2`
- Docs page: https://doitong.com/mnc/developers/models/birefnet/v2

## Pricing

Price: **$0.002 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.002 = 2 API credits (1 request × 2 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/birefnet/v2` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `model` |  | enum (string) | no | `General Use (Light)` | `General Use (Light)`, `General Use (Light 2K)`, `General Use (Heavy)`, `Matting`, `Portrait`, `General Use (Dynamic)` | ᠵᠠᠯᡠ ᡩᠠᠯᡤᠠᠨᡳ ᠮᠣᠳᡝᠯ ᡩᡠᠯᡝᠮᠪᡳ: 'General Use (Light)' ᠪᡳ BiRefNet, ᠵᡠᠯᡝᡵᡤᡳ ᠮᠣᠳᡝᠯ. 'General Use (Light 2K)' ᠪᡳ BiRefNet_lite-2K. 'General Use (Heavy)' ᠪᡳ BiRefNet_lite. 'Matting' ᠪᡳ BiRefNet-matting. 'Portrait' ᠪᡳ BiRefNet-portrait. 'General Use (Dynamic)' ᠪᡳ BiRefNet_dynamic, 256x256 ᠠᠴᠠ 2304x2304 ᡩᡝᠴᡳ ᠵᠠᠯᠠᠨᠵᡳᠩᡤᡳ ᠵᠠᠯᠠᠨᠵᡳ ᠠᠰᡠᠮᠪᡳ. |
| `operating_resolution` |  | enum (string) | no | `1024x1024` | `1024x1024`, `2048x2048`, `2304x2304` | ᡤᡝᡪᡳᠯᡝᠨᡳ ᡩᠠᠯᡤᠠᠨ, '2304x2304' ᡳᠨᡠ ᡥᠠᠨᡩᠠ 'General Use (Dynamic)' ᡩᡝ ᠵᠠᠯᠠᠯᠠᠮᠪᡳ. ᠵᠠᠯᠠᠨ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡤᠠᠳᠠᠨᡩᡝ ᠵᠠᠯᠠᠨ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠮᡝᠨᡝᠮᡝ ᠠᠰᡠᠮᠪᡳ. |
| `output_mask` |  | boolean | no | `false` |  | ᠵᠠᠯᡠ ᡩᠠᠯᡤᠠᠨᡳ ᠮᠠᠰᡴᠠ ᠪᡠᠶᡝᠮᡝᡩᡝ ᠣᠷᡳᠨ ᠪᡳ ᠤᡴᡳᠨ. |
| `refine_foreground` |  | boolean | no | `true` |  | ᡝᠰᡝᡵᡤᡳ ᠮᠠᠰᡴᠠᡳ ᠵᡠᠯᡤᠠᠯᠠᠯᠠ ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᡩᠠᠮᡠ. |
| `image_url` | `image` | string (image URL) | yes |  |  | ᠵᠠᠯᡠ ᡩᠠᠯᡤᠠᠨᡳ ᠵᡠᠯᡝᡵᡤᡳ ᡤᠠᠳᠠᠨᡳ URL. |
| `output_format` |  | enum (string) | no | `png` | `webp`, `png`, `gif` | ᠪᡠᠶᡝᠮᡝᠨᡳ ᡶᡳᠯᡝᠮᡝ. |
| `mask_only` |  | boolean | no | `false` |  | ᠮᠠᠰᡴᠠ ᡳᠨᡠ ᠪᡠᠶᡝᠮᡝᠨᡳ ᡩᠠᠮᡠ: `True` ᠮᠠᠰᡴᠠ_only ᠪᡳ ᠪᡠᠮᡝᠨᡳ ᠵᠠᠯᡠᠮᡝ ᠠᠰᡠᠮᠪᡳ, ᠮᠠᠰᡴᠠ ᠵᠠᠯᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ. ᠮᠠᠰᡴᠠ ᡩᠠᠮᡠ ᠵᠠᡥᠠᠯᠠᠮᠪᡳ. |

File parameters (`image`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
}
```

A fuller example:

```json
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/birefnet/v2?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/birefnet/v2?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/birefnet/v2", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "birefnet/v2",
      "input": {
        "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "birefnet/v2",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 2,
    "usd": "0.002",
    "charged": 2,
    "refunded": 0
  },
  "input": {
    "image": "https://content.doitong.com/images/showcase/v3/gen_sneaker_ad.jpg"
  },
  "output": {
    "image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768
    },
    "mask_image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768
    }
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size, width, height} | ᠵᠠᠯᡠ ᡩᠠᠯᡤᠠᠨ ᠠᠴᠠᠨ, ᠵᠠᠯᡠ ᡩᠠᠯᡤᠠᠨᡳ ᠮᠠᠰᡴᠠ `mask_only` ᠪᡳ `True` ᠣᠮᠪᡳ. |
| `mask_image` | object {url, content_type, file_name, file_size, width, height} \| null | ᠵᠠᠯᡠ ᡩᠠᠯᡤᠠᠨᡳ ᠮᠠᠰᡴᠠ. |

## Related models

- [Birefnet Background Removal](https://doitong.com/developers/models/birefnet.md) (`birefnet`): $0.002 / run
- [Bria RMBG 2.0](https://doitong.com/developers/models/bria/background/remove.md) (`bria/background/remove`): from $0.018 / request
- [Birefnet](https://doitong.com/developers/models/birefnet/v2/video.md) (`birefnet/v2/video`): $0.000575 / second of processing time
- [ben-v2-image](https://doitong.com/developers/models/ben/v2/image.md) (`ben/v2/image`): $0.102 / run
- [Ben-Video-Bg-Rm](https://doitong.com/developers/models/ben/v2/video.md) (`ben/v2/video`): $0.001 / megapixel of input video
- [Bria Guided Remove Background](https://doitong.com/developers/models/bria/guided-remove-background.md) (`bria/guided-remove-background`): $0.03 / image
- [Bria's VRMBG 3.0](https://doitong.com/developers/models/bria/video/background-removal/v3.md) (`bria/video/background-removal/v3`): $0.05 / second of input video
- [Feynobg Background Remover](https://doitong.com/developers/models/feynobg.md) (`feynobg`): $0.001 / request

## Links

- HTML page: https://doitong.com/developers/models/birefnet/v2
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=birefnet/v2
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/birefnet/v2