# Bria Product Shot API

> Novieto produktu jaunā dzīvesstila ainā pēc teksta apraksta vai atsauces attēla, ar novietojuma vadību

Ievieto produktu no `image_url` ainā, kas aprakstīta ar `scene_description` vai parādīta `ref_image_url`, bet ne abiem. `placement_type` var būt original, automatic, manual_placement vai manual_padding, ar desmit `manual_placement_selection` pozīcijām un aptuveni 1,000,000 pikseļu `shot_size`. `num_results` ir no 1 līdz 4, un pieejams `fast` režīms.

- 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/lv/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 |  |  | Produkta fotoattēla URL izvietošanai dzīvesstila ainā; attēlam jābūt jpeg, jpg, png vai webp formātā, un tā izmērs nedrīkst pārsniegt 12 MB. Ja iesniegts arī `image_file`, prioritāte ir `image_url`. |
| `scene_description` |  | string \| null | no |  |  | Tikai angļu valodā rakstīta uzvedne bez speciālajām rakstzīmēm, kas apraksta izveidojamo ainu vai fonu iesniegtajam produkta fotoattēlam. |
| `ref_image_url` |  | string (image URL) | no | `` |  | Atsauces attēla URL jauna produkta attēla fona vai ainas ģenerēšanai; tiek atbalstīti jpeg, jpg, png un webp. Norādiet tieši vienu no `scene_description` vai `ref_image_url`; tukšs URL tiek rakstīts kā "". Ja iesniegts arī `ref_image_file`, prioritāte ir `ref_image_url`. |
| `optimize_description` |  | boolean | no | `true` |  | Vai ainas apraksta optimizācija ir iespējota. |
| `num_results` |  | integer | no | `1` | 1 – 4 | Dzīvesstila produkta attēlu skaits katrai izvietošanai (`num_results`). Kopējais skaits ir nepieciešamo izvietojumu skaits × `num_results` priekš `placement_type=manual_placement` vai `num_results` × 10 priekš `placement_type=automatic`. |
| `fast` |  | boolean | no | `true` |  | Nosaka, vai ir atlasīts ātrais modelis. |
| `placement_type` |  | enum (string) | no | `manual_placement` | `original`, `automatic`, `manual_placement`, `manual_padding` | Produkta pozicionēšanas režīms ar divām manuālām iespējām: 'manual_placement' izmanto iepriekš definētas pozīcijas, kas atlasītas ar 'manual_placement_selection', bet 'manual_padding' pielāgo attēla pozīciju un izmēru, izmantojot pikseļu atkāpes ap produktu. Lai saglabātu avota pozīciju, atlasiet 'original'; lai ģenerētu rezultātus 10 ieteiktajās produkta pozīcijās, atlasiet 'automatic'. |
| `original_quality` |  | boolean | no | `false` |  | Izvades izmēra opcija, ko izmanto tikai ar `placement_type=original`: false mērogo attēlu līdz 1 megapikselim (1MP), nemainot tā malu attiecību, bet true saglabā ievades izmērus. |
| `shot_size` |  | array of integer | no | `[1000,1000]` |  | Gatavā produkta attēla mērķa izmēri, kas piemērojami tikai ar placement_type=automatic vai placement_type=manual_placement. Labākam rezultātam mērķējiet uz aptuveni 1,000,000 pikseļiem kopumā. |
| `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` | Iepriekš iestatītās pozīcijas, kas jāizmanto, ja atlasīts placement_type=manual_placement. Izvēlieties no saraksta; kopā var pieprasīt vairākas pozīcijas. |
| `padding_values` |  | array of integer | no |  |  | Pikseļu atkāpes priekš `placement_type=manual_padding`, kas iesniegtas kā [left, right, top, bottom]. Lai izvēlētos šīs vērtības, vispirms iegūstiet produkta izgriezumu, izmantojot produkta izgriezumu API, un pārbaudiet tā izmērus, pēc tam nododiet šo izgriezumu šim API ar vēlamajām atkāpēm. Optimālam rezultātam pēc atkāpju pievienošanas mērķējiet uz aptuveni 1,000,000 pikseļiem kopumā. |

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} | Modeļa ģenerētie attēli. |

## 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