# Bria Expand (FIBO-Edit-1.5) API

> Išplėtimo įrankis, praplečiantis vaizdą iki naujo kraštinių santykio arba pasirinktinės, mažesnės nei 25 megapikselių, drobės

Išplečia vaizdą už jo ribų. Pasirinkite vieną iš devynių `aspect_ratio` reikšmių arba apibrėžkite `canvas_size` kaip [width, height], kurio plotas mažesnis nei 25 megapikseliai, taip pat nurodykite `original_image_size` ir `original_image_location`. Pasirinktinis `prompt` aprašo naują sritį. `retain_original_quality` ir `preserve_alpha` pagal numatytuosius nustatymus įjungti, o `return_model_output` skirtas diagnostikai.

- 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.com/v1/run/bria/fibo-edit-1.5/expand`
- Quote: `POST https://api.doitong.com/v1/quote/bria/fibo-edit-1.5/expand`
- Docs page: https://doitong.com/lt/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.com/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 |  |  | Plėstinas vaizdas, pateiktas kaip failas arba URL. |
| `canvas_size` |  | array of integer \| null | no |  | 2 – 2 items | Išplėsto vaizdo matmenys, susieti su 'original_image_location'. Nurodykite [width, height] galutinei drobei, kurios plotas mažesnis nei 25 megapikseliai. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | Galutinio vaizdo koeficiento nuostata, centruojanti originalą ir išplečianti aplinkinę drobę. Ją nurodžius, jai teikiama pirmenybė prieš 'original_image_size' ir 'original_image_location'. |
| `original_image_size` |  | array of integer \| null | no |  | 2 – 2 items | Originalaus vaizdo tiksliniai [width, height] drobėje. Pateikus 'aspect_ratio', ši nuostata perrašoma; kitu atveju vaizdas prieš talpinimą pakeičiamas į šiuos matmenis. |
| `original_image_location` |  | array of integer \| null | no |  | 2 – 2 items | Originalaus vaizdo viršutinio kairiojo kampo vietos koordinatės [x, y], ignoruojamos, kai pateiktas 'aspect_ratio'. Leidžiama talpinti už drobės ribų, todėl originalas apkarpomas. |
| `prompt` |  | string \| null | no |  |  | Pasirenkamas pridėtos srities turinio aprašas. Paprastai drobės korekcijai aprašo nereikia: jo nepateikus modeliui nurodoma tiesiog pratęsti esamą vaizdą. |
| `seed` |  | integer \| null | no |  | 0 – 2,147,483,647 | Atsitiktinio generavimo pradinė reikšmė, atsakyme visada įtraukiama, nesvarbu, ar pateikta čia, ar atsitiktinai parinkta jos nepateikus. Iš ankstesnio atsakymo paimta reikšmė gali atkurti jo rezultatą. |
| `negative_prompt` |  | string \| null | no |  |  | Suderinamumo patikra užklausoms, parašytoms SDXL plėtimo API maršrutui: pateikus šią nepalaikomą įvestį, aiškiai atmetama užklausa, kad jos reikšmė nebūtų tyliai prarasta. Naudokite 'prompt'. |
| `retain_original_quality` |  | boolean | no | `true` |  | Įjunkite, kad kaukės apsaugoti originalūs pikseliai būtų išlaikyti visa raiška, jų neperdiskretizuojant. Modelis generuoja maždaug vieno megapikselio raiška, tada padidina didesnėms drobėms. Išjungus rezultatas tampa tolygiai neryškus, todėl tekstūruotame fone gali būti paslėpta siūlė. |
| `preserve_alpha` |  | boolean | no | `true` |  | Išlaiko įvesties skaidrumą, prireikus pratęsdamas originalų alfa kanalą kraštų replikavimu, kad išplėstų iškirpimą. Kadangi generuojama RGB formatu, modelis alfa nesukuria. Išjunkite, kad gautumėte išlygintą RGB išvestį. |
| `return_model_output` |  | boolean | no | `false` |  | Grąžina papildomą diagnostinį kadrą, padedantį atskirti modelio klaidas nuo komponavimo klaidų, nekeičiant galutinio vaizdo. Jame rodomas modelio rezultatas prieš vėl įterpiant originalą ir suliejant siūles; bet koks šiame kadre jau matomas krašto defektas yra generavimo, o ne tolesnio apdorojimo klaida. |

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

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size, width, height} | Plėtimo rezultatas – vaizdas. |
| `seed` | integer | Generuojant taikoma pradinė reikšmė, leidžianti atkurti rezultatą. |
| `structured_instruction` | object | Struktūrizuotas raginys, naudojamas modeliui sąlygoti. |
| `model_output` | object {url, content_type, file_name, file_size, width, height} \| null | Nekomponuotas kadras, įtraukiamas tik įjungus 'return_model_output'. Jis turi prašomus drobės matmenis ir modelio išvestį be įklijuoto ar sulieto turinio. |

## 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.com/v1/models/bria/fibo-edit-1.5/expand