# Bria Product Shot API

> Įkelia produktą į naują gyvenimo būdo sceną pagal tekstinį aprašą arba nuorodinį vaizdą, su vietos valdikliais

Perkelia produktą iš `image_url` į sceną, aprašytą `scene_description` arba parodytą `ref_image_url`, bet ne į abu. `placement_type` gali būti original, automatic, manual_placement arba manual_padding, su dešimčia `manual_placement_selection` pozicijų ir maždaug 1,000,000 pikselių `shot_size`. `num_results` svyruoja nuo 1 iki 4, galimas ir `fast` režimas.

- 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.ru/v1/run/bria/product-shot`
- Quote: `POST https://api.doitong.ru/v1/quote/bria/product-shot`
- Docs page: https://doitong.com/lt/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.ru/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 |  |  | Produkto nuotraukos URL, skirtas įkomponuoti į gyvenimo būdo sceną; vaizdas turi būti jpeg, jpg, png arba webp formato ir ne didesnis nei 12 MB. Jei taip pat pateiktas `image_file`, pirmenybė teikiama `image_url`. |
| `scene_description` |  | string \| null | no |  |  | Tik anglų kalba pateiktas raginys be specialiųjų simbolių, apibūdinantis sceną arba foną, kurį reikia sukurti pateiktai produkto nuotraukai. |
| `ref_image_url` |  | string (image URL) | no | `` |  | Nuorodos vaizdo URL, skirtas naujam produkto nuotraukos fonui arba scenai generuoti; palaikomi jpeg, jpg, png ir webp. Pateikite tik vieną iš `scene_description` arba `ref_image_url`; tuščias URL įrašomas kaip "". Jei taip pat pateiktas `ref_image_file`, pirmenybė teikiama `ref_image_url`. |
| `optimize_description` |  | boolean | no | `true` |  | Ar įjungtas scenos aprašymo optimizavimas. |
| `num_results` |  | integer | no | `1` | 1 – 4 | Gyvenimo būdo produkto vaizdų skaičius vienai vietai (`num_results`). Bendra reikšmė yra reikiamų vietų skaičius × `num_results`, kai `placement_type=manual_placement`, arba `num_results` × 10, kai `placement_type=automatic`. |
| `fast` |  | boolean | no | `true` |  | Valdo, ar pasirinktas spartusis modelis. |
| `placement_type` |  | enum (string) | no | `manual_placement` | `original`, `automatic`, `manual_placement`, `manual_padding` | Produkto padėties nustatymo režimas su dviem rankiniais variantais: 'manual_placement' naudoja iš anksto nustatytas padėtis, pasirinktas per 'manual_placement_selection', o 'manual_padding' koreguoja vaizdo padėtį ir dydį naudodamas pikselių paraštes aplink produktą. Norėdami išlaikyti šaltinio padėtį, pasirinkite 'original'; norėdami generuoti rezultatus 10 rekomenduojamų produkto padėčių, pasirinkite 'automatic'. |
| `original_quality` |  | boolean | no | `false` |  | Išvesties dydžio nustatymas, naudojamas tik su `placement_type=original`: false pakeičia vaizdo dydį į 1 megapikselį (1MP), nekeisdamas vaizdo formato, o true išlaiko įvesties matmenis. |
| `shot_size` |  | array of integer | no | `[1000,1000]` |  | Galutinio produkto vaizdo tiksliniai matmenys, taikomi tik su placement_type=automatic arba placement_type=manual_placement. Geriausiems rezultatams siekite maždaug 1,000,000 pikselių. |
| `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` | Naudojamos iš anksto nustatytos padėtys, kai pasirinkta placement_type=manual_placement. Pasirinkite iš sąrašo; galima kartu nurodyti kelias padėtis. |
| `padding_values` |  | array of integer | no |  |  | Pikselių paraštės, skirtos `placement_type=manual_padding`, pateikiamos kaip [left, right, top, bottom]. Norėdami pasirinkti šias reikšmes, pirmiausia gaukite produkto iškarpą naudodami produkto iškarpos API ir patikrinkite jos matmenis, tada perduokite šią iškarpą šiai API kartu su norimomis paraštėmis. Kad rezultatai būtų optimalūs, po paraščių siekite maždaug 1,000,000 pikselių. |

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.ru/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.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/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.ru/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.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": "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Modelio sukurti vaizdai. |

## 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.ru/v1/models/bria/product-shot