# Bria Expand (FIBO-Edit-1.5) API

> Zana ya outpainting inayopanua picha hadi uwiano mpya wa vipengele au turubai maalum yenye chini ya megapikseli 25

Hupanua picha nje ya mipaka yake. Chagua mojawapo ya thamani tisa za `aspect_ratio`, au fafanua `canvas_size` kama [width, height] yenye eneo la chini ya megapikseli 25, pamoja na `original_image_size` na `original_image_location`. `prompt` ya hiari hueleza eneo jipya. `retain_original_quality` na `preserve_alpha` huwashwa kwa chaguomsingi, na `return_model_output` ni ya uchunguzi.

- Model id: `bria/fibo-edit-1.5/expand`
- 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/fibo-edit-1.5/expand`
- Quote: `POST https://api.doitong.ru/v1/quote/bria/fibo-edit-1.5/expand`
- Docs page: https://doitong.com/sw/developers/models/bria/fibo-edit-1.5/expand

## Pricing

Price: **$0.04 / image**. Billed per generated image.

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/fibo-edit-1.5/expand` 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 |  |  | Picha ya kupanua, iliyotolewa kama faili au URL. |
| `canvas_size` |  | array of integer \| null | no |  | 2 – 2 items | Vipimo vya picha iliyopanuliwa vinavyooanishwa na 'original_image_location'. Bainisha [width, height] kwa turubai ya mwisho, ukihifadhi eneo lake chini ya megapikseli 25. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | Mpangilio wa uwiano wa picha ya mwisho unaoweka picha asili katikati na kupanua turubai inayoizunguka. Kuubainisha hupewa kipaumbele kuliko 'original_image_size' na 'original_image_location'. |
| `original_image_size` |  | array of integer \| null | no |  | 2 – 2 items | [width, height] lengwa la picha asili ndani ya turubai. Kutoa 'aspect_ratio' hubatilisha mpangilio huu; vinginevyo, picha hubadilishwa ukubwa hadi vipimo hivi kabla ya kuwekwa. |
| `original_image_location` |  | array of integer \| null | no |  | 2 – 2 items | Viwianishi vya kuweka kona ya juu kushoto ya picha asili [x, y], vinavyopuuzwa 'aspect_ratio' ikitolewa. Kuweka nje ya mipaka ya turubai kunaruhusiwa na hukata picha asili. |
| `prompt` |  | string \| null | no |  |  | Maelezo ya hiari ya maudhui ya eneo lililoongezwa. Marekebisho ya kawaida ya turubai hayahitaji maelezo: kutoyaweka huiomba modeli kupanua tu picha iliyopo. |
| `seed` |  | integer \| null | no |  | 0 – 2,147,483,647 | Seed ya uzalishaji wa kubahatisha, inayojumuishwa kila mara kwenye jibu iwe imetolewa hapa au imechaguliwa kwa kubahatisha ilipoachwa. Thamani kutoka jibu la awali inaweza kuunda tena tokeo lake. |
| `negative_prompt` |  | string \| null | no |  |  | Ukaguzi wa uoanifu kwa maombi yaliyoandikwa kwa njia ya SDXL expansion API: kutoa ingizo hili lisilotumika husababisha kukataliwa wazi ili thamani yake isipotee kimya. Tumia 'prompt' badala yake. |
| `retain_original_quality` |  | boolean | no | `true` |  | Wezesha hili ili kuhifadhi pikseli asili zilizolindwa na barakoa katika mwonekano kamili bila kusampuliwa upya. Modeli huzalisha kwa takribani megapikseli moja, kisha hupandisha ukubwa kwa turubai kubwa. Kulizima hufanya tokeo lote liwe laini, jambo linaloweza kuficha mshono dhidi ya mandharinyuma yenye umbile. |
| `preserve_alpha` |  | boolean | no | `true` |  | Huhifadhi uwazi wa ingizo kwa kupanua kituo cha alpha asili kupitia urudufishaji wa kingo, inapohitajika kupanua ukataji. Kwa kuwa uzalishaji hufanyika katika RGB, modeli haitoi alpha. Zima hili ili kupokea tokeo la RGB lililopangwa. |
| `return_model_output` |  | boolean | no | `false` |  | Hurejesha fremu ya ziada ya uchunguzi ili kutofautisha makosa ya modeli na makosa ya kuunganisha, bila kubadilisha picha ya mwisho. Huonyesha tokeo la modeli kabla ya picha asili kuingizwa tena na mishono kuchanganywa; kasoro yoyote ya mpaka inayoonekana tayari kwenye fremu hii ni kosa la uzalishaji, si kosa la uchakataji wa baadaye. |

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_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/fibo-edit-1.5/expand?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/fibo-edit-1.5/expand?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/fibo-edit-1.5/expand", 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/fibo-edit-1.5/expand",
      "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/fibo-edit-1.5/expand",
  "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": {
    "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
    },
    "seed": 42,
    "structured_instruction": {},
    "model_output": {
      "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} | Picha inayotokana na upanuzi. |
| `seed` | integer | Seed iliyotumika wakati wa uzalishaji, inayowezesha kurudia tokeo. |
| `structured_instruction` | object | Kidokezo kilichopangwa kinachotumiwa kuelekeza modeli. |
| `model_output` | object {url, content_type, file_name, file_size, width, height} \| null | Fremu isiyounganishwa inayojumuishwa tu wakati 'return_model_output' iliwezeshwa. Ina vipimo vya turubai vilivyoombwa na ina tokeo la modeli bila maudhui yoyote yaliyobandikwa au kuchanganywa. |

## Related models

- [Bria Product Holding (FIBO-Edit-1.5)](https://doitong.com/developers/models/bria/fibo-edit-1.5/product-holding.md) (`bria/fibo-edit-1.5/product-holding`): $0.04 / image
- [Bria Virtual Try-On (FIBO-Edit-1.5)](https://doitong.com/developers/models/bria/fibo-edit-1.5/virtual-try-on.md) (`bria/fibo-edit-1.5/virtual-try-on`): $0.04 / image
- [Fibo Edit 1.5 Image Editing](https://doitong.com/developers/models/bria/fibo-edit-1.5/edit.md) (`bria/fibo-edit-1.5/edit`): $0.04 / image
- [FLUX.1 Kontext \[pro\]](https://doitong.com/developers/models/flux-pro/kontext.md) (`flux-pro/kontext`): $0.04 / image
- [GPT Image 2.5 Edit](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/edit.md) (`openai/gpt-image-2.5/flare/edit`): from $0.12 / image
- [Nano Banana 2 Edit](https://doitong.com/developers/models/nano-banana-2/edit.md) (`nano-banana-2/edit`): from $0.06 / image
- [Nano Banana Pro Edit](https://doitong.com/developers/models/nano-banana-pro/edit.md) (`nano-banana-pro/edit`): from $0.15 / image
- [Qwen Image 3 Edit](https://doitong.com/developers/models/alibaba/qwen-image-3/edit.md) (`alibaba/qwen-image-3/edit`): from $0.04 / image

## Links

- HTML page: https://doitong.com/developers/models/bria/fibo-edit-1.5/expand
- 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/fibo-edit-1.5/expand
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/bria/fibo-edit-1.5/expand