# Bria Product Shot API

> ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᡳ ᠠᠮᠠᠯᡤᠠᠨ ᡳᠨᡠ ᠵᠠᠯᠠᠨ ᡳ ᠵᠠᠰᠠᠨ ᠪᡝ ᠰᠠᠨᠠᠮᠪᡳ᠂ ᠵᡠᠯᡤᠠᠯᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠰᠠᠮᠪᡳ

ᡳᠮᠠᡤᡝ ᡳᠨᡠ ᡳᠯᡳᠨᡤᡤᠠ ᠵᠠᠯᠪᠠᠨ ᡳᠨᡠ `image_url` ᡳ ᡴᠠᡵᠠ ᡳᠯᡳᠨᡤᡤᠠᠨᡳ ᡥᠠᡶᠠᠨ ᡩᡝ `scene_description` ᡳ ᠠᡵᠠᠮᠪᡠᡵᡝ ᠵᡠᠰᡝᠨ ᡳᠨᡠ ᡳᠯᡳᠨᡤᡤᠠᠮᡝ ᠵᠠᠯᠪᠠᠨ, ᠠᠮᠠᠯᠠ `ref_image_url` ᡳ ᠵᡠᠸᠠᠨ ᡩᡝ ᡳᠯᡳᠨᡤᡤᠠᠮᡝ ᠵᠠᠯᠪᠠᠨ, ᠵᡠᠸᠠᠨ ᠣᠴᡳ ᡝᠮᡠ ᡩᡝ ᠠᠮᠠᠯᠠ ᡤᡝᠮᡠ ᠪᠢᠰᡳ. `placement_type` ᡳ ᠵᡠᠯᡝᡵᡤᡳ ᠣᠴᡳ original, automatic, manual_placement ᠪᠠ manual_padding, ᡳᠨᡠ ᠵᡠᠯᡤᡝᠨ `manual_placement_selection` ᡳ ᠵᠠᠯᠪᠠᠷᠠᠨ ᡝᡵᡤᡝᠨ ᠪᠠᠨᠵᡳᠨ, ᠵᠠᡴᠠᠨ `shot_size` ᡳ ᠵᠠᠯᠪᠠᠨ 1,000,000 ᡴᡝᠮᡠᠨᡳ ᠪᠣᠯᠣᠨ. `num_results` ᡳ 1 ᡩᡝᡵᡳ 4 ᠣᠴᡳᠨ, ᡳᠨᡠ ᡩᡠᡨᡴᠠᠨ `fast` ᡳ ᠠᠷᠠᠮᠪᡠᠨ ᠪᠠᠨᠵᡳᠨ.

- Model id: `bria/product-shot`
- Made by: Bria AI
- Category: Image Editing
- Output: image
- Price: $0.04 / image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/product-shot`
- Quote: `POST https://api.doitong.com/v1/quote/bria/product-shot`
- Docs page: https://doitong.com/mnc/developers/models/bria/product-shot

## Pricing

Price: **$0.04 / image**. Billed per generated image (`num_results`, default 1).

The full example input below costs $0.04 = 40 API credits (1 image × 40 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.com/v1/quote/bria/product-shot` 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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | ᠵᠠᠯᠠᠨ ᡳ ᡤᠠᠳᠠᠨ ᡳ URL; lifestyle scene ᡩᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠪᡠᡵᡝ; jpeg, jpg, png, webp ᠪᡳᠮᠪᡳ ᠪᠠᠨᠵᡳᠨ 12 MB ᡩᡝ ᠣᠯᡥᠠ ᠪᡳᠰᡳᡵᡝ. `image_file` ᠵᡳᠶᠠᠨ ᠪᡳᠮᠪᡳᠴᡳ `image_url` ᠵᡝᡵᡤᡳ. |
| `scene_description` |  | string \| null | no |  |  | ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠪᡠᠶᡝᠮᡝᡵᡝ scene ᡥᠠᠨᡩᠠᠨᠠ background ᡳ ᠠᠮᠠᠯᠠᡥᠠ English-only ᡥᡡᠯᠠᠨ. |
| `ref_image_url` |  | string (image URL) | no | `` |  | ᡥᡡᠳᠠᠪᡝ ᠠᠯᡳᠪᡠᡥᠠ ᡤᠠᠳᠠᠨ ᡳ ᡳᠴᡝ ᠠᠮᠠᠯᠠ ᠪᠠ ᡝᠪᡴᡝᠨ ᠪᠠᡳᡨᠠᠯᠠᠮᡝ ᠠᡵᠠᡵᠠ ᡩᡝ ᠪᠠᡵᡤᡳᠶᠠᡵᠠ ᡤᠠᠳᠠᠨ ᡳ URL᠈ jpeg, jpg, png, webp ᠪᡝ ᠪᠠᡳᡨᠠᠯᠠᠴᡳ ᠣᠮᠪᡳ᠉ `scene_description` ᡝᠪᡴᡝᠨ `ref_image_url` ᡳ ᡩᠣᠯᠣ ᡝᠮᡴᡝ ᠪᡝ ᠴᡳᠨᠠᠮᡝ ᠪᡠᡵᡝ᠈ ᡳᠯᡝᡥᡡᠨ URL ᠪᡝ "" ᠰᡝᠮᡝ ᠠᡵᠠᠮᠪᡳ᠉ `ref_image_file` ᠪᡝ ᡤᡝᠯᡳ ᠪᡠᡥᡝ ᠣᠴᡳ᠂ `ref_image_url` ᠪᡝ ᠣᠩᡤᠣᠯᠣ ᠪᠠᡳᡨᠠᠯᠠᠮᠪᡳ᠉ |
| `optimize_description` |  | boolean | no | `true` |  | scene-description ᡳ ᠪᡠᠶᡝᠮᡝ ᠵᠠᠯᠠᠨ ᡳ ᠠᠶᠠᠨ ᠪᡳᠮᠪᡳ ᠠᡳᠰᡳ ᠪᡳᠰᡳᡵᡝᠮᡝ. |
| `num_results` |  | integer | no | `1` | 1 – 4 | ᡨᡝᡳᠰᡠ ᠪᠠᡳ ᠰᡳᠨᠳᠠᡥᠠ ᠪᠠ ᡨᠣᠮᡝ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ ᠵᠠᡴᠠ ᡳ ᡤᠠᠳᠠᠨ ᡳ ᡨᠣᠨ (`num_results`). `placement_type=manual_placement` ᠣᠴᡳ, ᡠᡥᡝᡵᡳ ᡨᠣᠨ ᠣᠴᡳ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ ᠰᡳᠨᠳᠠᡵᠠ ᠪᠠ ᡳ ᡨᠣᠨ × `num_results`; `placement_type=automatic` ᠣᠴᡳ, `num_results` × 10. |
| `fast` |  | boolean | no | `true` |  | ᡴᡝᠯᡝᠮᡝ ᡳ ᠮᠣᠳᡝᠯ ᠪᡝ ᠵᡠᠯᡝᠮᡝ. |
| `placement_type` |  | enum (string) | no | `manual_placement` | `original`, `automatic`, `manual_placement`, `manual_padding` | ᠵᠠᠯᠠᠨ ᡳ ᠪᠠᡳᠨᠠᠨ ᠪᡠᠶᡝᠮᡝᡵᡝ ᠵᠠᠯᠠᠨ: 'manual_placement' ᠵᡝᠯᡝᠨᠠ ᠰᠣᠩᡤᠣᠮᡝ 'manual_placement_selection' ᡳ ᠠᠪᡠᡵᡝ; 'manual_padding' ᠵᠠᠯᠠᠨ ᡳ ᠪᠠᡳᠨᠠᠨ ᠪᡝ ᡤᠠᠳᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᡩᡝ ᠵᠠᠯᠠᠨ ᠫᡳᡴᠰᡝᠯ ᡳ ᠠᠪᡠᡵᡝ. ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨ ᡳ ᠪᠠᡳᠨᠠᠨ ᠪᡝ ᠰᠠᡳᠨ ᠪᡳᠮᠪᡳ ᠰᡝᠮᡝ 'original' ᠰᠣᠩᡤᠣ; 10 ᠵᠠᠯᠠᠨ ᠪᡝ ᠪᡠᠶᡝᠮᡝᡵᡝ ᡳᠨᡠ 'automatic' ᠰᠣᠩᡤᠣ. |
| `original_quality` |  | boolean | no | `false` |  | `placement_type=original` ᡩᡝ ᡝᠮᡥᡠᠨ ᠪᠠᡳᡨᠠᠯᠠᡵᠠ ᠪᡠᠶᡝᠮᡝ ᡳ ᡴᡝᠮᠵᡳᠨ ᠰᠣᠨᠵᠣᡵᠣ ᠪᠠ: false ᠣᠴᡳ, ᡤᠠᠳᠠᠨ ᡳ ᡤᠣᠯᠮᡳᠨ ᠣᠨᡨᠣᡥᠣᠨ ᡳ ᡩᡠᡳᠪᡠᠯᡝᠨ ᠪᡝ ᡥᠠᠯᠠᡵᠠᡴᡡ 1 ᠮᡝᡤᠠᠫᡳᡴᠰᡝᠯ (1MP) ᡩᡝ ᡴᡝᠮᠵᡳᠯᡝᠮᠪᡳ; true ᠣᠴᡳ, ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝ ᡳ ᡴᡝᠮᠵᡳᠨ ᠪᡝ ᠰᡳᡵᠠᠮᠪᡳ. |
| `shot_size` |  | array of integer | no | `[1000,1000]` |  | ᠮᡠᠩᡤᠠᠨ ᡳ ᠵᠠᠯᠠᠨ ᠪᡠᠶᡝᠮᡝᡵᡝ ᠵᠠᠯᠠᠨ ᡩᡝ ᠠᠪᡠᡵᡝ; placement_type=automatic ᡳᠯᡳ placement_type=manual_placement ᡩᡝ ᠠᠪᡠᡵᡝ. ᠰᠠᡳᠨ ᠵᠠᠯᠠᠨ ᡩᡝ 1,000,000 ᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᠯᠠᠨ. |
| `manual_placement_selection` |  | enum (string) | no | `bottom_center` | `upper_left`, `upper_right`, `bottom_left`, `bottom_right`, `right_center`, `left_center`, `upper_center`, `bottom_center`, `center_vertical`, `center_horizontal` | placement_type=manual_placement ᠰᠣᠩᡤᠣᡥᠠᠴᡳ ᠠᠪᡠᡵᡝ ᠮᡝᠶᡝᡵᡝ ᠪᠠᡳᠨᠠᠨ. ᠵᠠᠯᠪᠠᡵᡳ ᡳ ᠰᠣᠩᡤᠣ; ᠣᠯᠠᠨ ᠪᠠᡳᠨᠠᠨ ᠵᠠᠯᠠᠨ ᠵᠠᠪᠰᡳᠮᡝ ᠪᡠᠮᡝ. |
| `padding_values` |  | array of integer | no |  |  | `placement_type=manual_padding`-i ᡶᡳᠯᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠨᡳ ᠵᠠᡴᡠᠨ, [left, right, top, bottom] ᡝᠮᡠᠯᡝ ᠪᡠᡮᡳᠮᠪᡳ. ᡝᡵᡝ ᠵᠠᡴᡠᠨᠰᡳ ᡩᡝᠯᡝᠮᠪᡠᡵᡝ ᡩᡝ, ᡤᠠᡩᠠᠨ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨ ᠰᠠᠮᠪᡳ ᡩᡝᠯᡝᠮᠪᡠᡵᡝ ᡩᡝ ᡤᠠᡩᠠᠨᠨᡳ ᠪᡠᠶᡝᠮᡝ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨᠰᡳ ᠰᠠᠮᠪᡳ, ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠨᡳ ᡶᡳᠯᡝᠮᡝᠨᡳ ᠵᠠᠯᠠᠨ ᠪᡝ ᠰᠠᠮᠪᡳ, ᠵᡝᠮᡝ ᠵᠠᠯᠠᠨ ᠪᡝ ᠵᠠᡴᡠᠨ ᡩᡝ ᡝᠮᡠᠯᡝ ᠪᡠᠮᡝ. ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠨᡳ 1,000,000 ᡶᡳᠯᡝᠮᡝ ᠣᠮᠪᡳ ᠵᡝᠪᡝᠯᡝ ᠵᠠᠯᠠᠨ ᠵᡠᠯᡝᠨᡳ ᠵᡝᠪᡝᠯᡝᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠣᠮᠪᡳ. |

File parameters (`image`, `ref_image_url`) 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_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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.com/v1/run/bria/product-shot?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.com/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/bria/product-shot?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

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

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/product-shot", 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.com/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": "bria/product-shot",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.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": "bria/product-shot",
  "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": 40,
    "usd": "0.04",
    "charged": 40,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "images": [
      {
        "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | ᠮᠣᠳᡝᠯ ᠪᡠᠶᡝᠮᡝᠨᡳ ᠤᠯᡥᠠᠨ ᡤᠠᠳᠠᠨ᠉ |

## Related models

- [Bria Text-to-Image Base](https://doitong.com/developers/models/bria/text-to-image/base.md) (`bria/text-to-image/base`): $0.04 / image
- [Bria Text-to-Image Fast](https://doitong.com/developers/models/bria/text-to-image/fast.md) (`bria/text-to-image/fast`): $0.028 / image
- [Bria Text-to-Image HD](https://doitong.com/developers/models/bria/text-to-image/hd.md) (`bria/text-to-image/hd`): $0.04 / image
- [Bria](https://doitong.com/developers/models/bria/reimagine.md) (`bria/reimagine`): $0.04 / image
- [Bria Background Replace](https://doitong.com/developers/models/bria/background/replace.md) (`bria/background/replace`): $0.04 / image
- [Bria Eraser](https://doitong.com/developers/models/bria/eraser.md) (`bria/eraser`): $0.04 / request
- [Bria Expand Image](https://doitong.com/developers/models/bria/expand.md) (`bria/expand`): $0.04 / request
- [Bria GenFill](https://doitong.com/developers/models/bria/genfill.md) (`bria/genfill`): $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/bria/product-shot
- 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=bria/product-shot
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bria/product-shot