# Bria Product Shot API

> Coloca un producto en una nueva escena de estilo de vida a partir de una descripción de texto o una imagen de referencia, con controles de colocación

Coloca el producto de `image_url` en una escena descrita por `scene_description` o mostrada en `ref_image_url`, pero no ambas. `placement_type` puede ser original, automatic, manual_placement o manual_padding, con diez posiciones de `manual_placement_selection` y un `shot_size` de aproximadamente 1,000,000 píxeles. `num_results` va de 1 a 4 y hay un modo `fast` disponible.

- 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/es/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 |  |  | URL de la foto del producto para colocarla en una escena de estilo de vida; la imagen debe ser jpeg, jpg, png, webp y no superar los 12 MB. Si también se proporciona `image_file`, `image_url` tiene prioridad. |
| `scene_description` |  | string \| null | no |  |  | Prompt solo en inglés y sin caracteres especiales que describa la escena o el fondo que se creará para la foto del producto proporcionada. |
| `ref_image_url` |  | string (image URL) | no | `` |  | URL de la imagen de referencia para generar un nuevo fondo o escena de una toma del producto; se admiten jpeg, jpg, png y webp. Proporciona exactamente uno de `scene_description` o `ref_image_url`; una URL vacía se escribe como "". Si también se proporciona `ref_image_file`, `ref_image_url` tiene prioridad. |
| `optimize_description` |  | boolean | no | `true` |  | Indica si la optimización de la descripción de la escena está habilitada. |
| `num_results` |  | integer | no | `1` | 1 – 4 | Cantidad de imágenes de producto de estilo de vida por colocación (`num_results`). El total es el número de colocaciones requeridas × `num_results` para `placement_type=manual_placement`, o `num_results` × 10 para `placement_type=automatic`. |
| `fast` |  | boolean | no | `true` |  | Controla si se selecciona el modelo rápido. |
| `placement_type` |  | enum (string) | no | `manual_placement` | `original`, `automatic`, `manual_placement`, `manual_padding` | Modo de posicionamiento del producto, con dos opciones manuales: 'manual_placement' utiliza posiciones predefinidas seleccionadas mediante 'manual_placement_selection', mientras que 'manual_padding' ajusta la posición y el tamaño de la imagen mediante relleno en píxeles alrededor del producto. Para conservar la posición del origen, selecciona 'original'; para generar resultados en 10 posiciones recomendadas del producto, selecciona 'automatic'. |
| `original_quality` |  | boolean | no | `false` |  | Opción de tamaño de salida utilizada solo con `placement_type=original`: false escala la imagen a 1 megapíxel (1MP) sin alterar su relación de aspecto, mientras que true conserva las dimensiones de entrada. |
| `shot_size` |  | array of integer | no | `[1000,1000]` |  | Dimensiones objetivo de la imagen final del producto, aplicables solo con placement_type=automatic o placement_type=manual_placement. Para obtener mejores resultados, apunta aproximadamente a 1,000,000 píxeles en total. |
| `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` | Posiciones predefinidas que se utilizarán cuando se seleccione placement_type=manual_placement. Elige de la lista; se pueden solicitar varias posiciones a la vez. |
| `padding_values` |  | array of integer | no |  |  | Relleno en píxeles para `placement_type=manual_padding`, proporcionado como [left, right, top, bottom]. Para elegir estos valores, obtén primero un recorte del producto mediante la API de recorte de productos e inspecciona sus dimensiones; después, pasa ese recorte a esta API con el relleno deseado. Apunta a unos 1,000,000 píxeles totales después del relleno para obtener resultados óptimos. |

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} | Imágenes producidas por el modelo. |

## 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