# Bria Expand (FIBO-Edit-1.5) API

> Alat outpainting yang memperluas gambar ke rasio aspek baru atau kanvas kustom dengan luas di bawah 25 megapiksel

Memperluas gambar melampaui batasnya. Pilih salah satu dari sembilan nilai `aspect_ratio`, atau tentukan `canvas_size` sebagai [width, height] dengan area di bawah 25 megapiksel serta `original_image_size` dan `original_image_location`. `prompt` opsional menjelaskan area baru. `retain_original_quality` dan `preserve_alpha` aktif secara bawaan, dan `return_model_output` digunakan untuk diagnostik.

- 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/id/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 |  |  | Gambar untuk perluasan, diberikan sebagai file atau URL. |
| `canvas_size` |  | array of integer \| null | no |  | 2 – 2 items | Dimensi gambar yang diperluas yang dipasangkan dengan 'original_image_location'. Tentukan [width, height] untuk kanvas akhir, dengan luas di bawah 25 megapiksel. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | Pengaturan rasio gambar akhir yang memusatkan gambar asli dan memperluas kanvas di sekitarnya. Menentukannya diprioritaskan daripada 'original_image_size' dan 'original_image_location'. |
| `original_image_size` |  | array of integer \| null | no |  | 2 – 2 items | Target [width, height] gambar asli di dalam kanvas. Memberikan 'aspect_ratio' akan mengesampingkan pengaturan ini; jika tidak, gambar diubah ukurannya ke dimensi ini sebelum ditempatkan. |
| `original_image_location` |  | array of integer \| null | no |  | 2 – 2 items | Koordinat penempatan [x, y] untuk sudut kiri atas gambar asli, diabaikan jika 'aspect_ratio' diberikan. Penempatan di luar batas kanvas diperbolehkan dan memangkas gambar asli. |
| `prompt` |  | string \| null | no |  |  | Deskripsi opsional tentang konten untuk area tambahan. Penyesuaian kanvas biasa biasanya tidak memerlukan deskripsi: menghilangkannya meminta model sekadar memperluas gambar yang ada. |
| `seed` |  | integer \| null | no |  | 0 – 2,147,483,647 | Seed pembuatan acak, selalu disertakan dalam respons, baik diberikan di sini maupun dipilih secara acak saat dihilangkan. Nilai dari respons sebelumnya dapat digunakan untuk membuat ulang hasilnya. |
| `negative_prompt` |  | string \| null | no |  |  | Pemeriksaan kompatibilitas untuk permintaan yang ditulis bagi rute API perluasan SDXL: memberikan input yang tidak didukung ini memicu penolakan eksplisit agar nilainya tidak hilang secara diam-diam. Gunakan 'prompt' sebagai gantinya. |
| `retain_original_quality` |  | boolean | no | `true` |  | Aktifkan ini untuk mempertahankan piksel asli yang dilindungi mask pada resolusi penuh tanpa pengambilan sampel ulang. Model menghasilkan pada sekitar satu megapiksel, lalu melakukan upscaling untuk kanvas yang lebih besar. Menonaktifkannya membuat hasil seragam buram, yang dapat menyamarkan sambungan pada latar belakang bertekstur. |
| `preserve_alpha` |  | boolean | no | `true` |  | Mempertahankan transparansi input dengan memperluas kanal alfa asli melalui replikasi tepi sesuai kebutuhan untuk memperluas cutout. Karena pembuatan berlangsung dalam RGB, model tidak menghasilkan alfa. Nonaktifkan ini untuk menerima output RGB yang diratakan. |
| `return_model_output` |  | boolean | no | `false` |  | Mengembalikan bingkai diagnostik tambahan untuk membedakan error model dari error komposit, tanpa mengubah gambar akhir. Bingkai ini menampilkan hasil model sebelum gambar asli disisipkan kembali dan sambungan dibaurkan; cacat batas yang sudah terlihat di bingkai ini adalah error pembuatan, bukan error pascapemrosesan. |

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} | Gambar hasil perluasan. |
| `seed` | integer | Seed yang diterapkan selama pembuatan, sehingga hasil dapat direproduksi. |
| `structured_instruction` | object | Prompt terstruktur yang digunakan untuk mengondisikan model. |
| `model_output` | object {url, content_type, file_name, file_size, width, height} \| null | Bingkai tanpa komposit yang hanya disertakan jika 'return_model_output' diaktifkan. Bingkai ini memiliki dimensi kanvas yang diminta dan berisi output model tanpa konten yang ditempelkan atau dibaurkan. |

## 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