# Bria Expand (FIBO-Edit-1.5) API

> Outpainting tool na nagpapalawak ng larawan sa bagong aspect ratio o custom canvas na mas mababa sa 25 megapixel

Pinapalawak ang larawan lampas sa mga hangganan nito. Pumili ng isa sa siyam na value ng `aspect_ratio`, o tukuyin ang `canvas_size` bilang [width, height] na may lawak na mas mababa sa 25 megapixel, kasama ang `original_image_size` at `original_image_location`. Inilalarawan ng optional na `prompt` ang bagong bahagi. Naka-on bilang default ang `retain_original_quality` at `preserve_alpha`, at ginagamit ang `return_model_output` para sa diagnostics.

- 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/fil/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 |  |  | Larawan para sa expansion, na ibinibigay bilang file o URL. |
| `canvas_size` |  | array of integer \| null | no |  | 2 – 2 items | Mga dimensyon ng pinalawak na larawan na kasama ng 'original_image_location'. Tukuyin ang [width, height] para sa final canvas, na ang area ay mas mababa sa 25 megapixels. |
| `aspect_ratio` |  | enum (string) \| null | no |  | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | Setting ng final-image ratio na nagse-center sa orihinal at nagpapalawak sa nakapaligid na canvas. Ang pagtukoy nito ay mas nangingibabaw sa parehong 'original_image_size' at 'original_image_location'. |
| `original_image_size` |  | array of integer \| null | no |  | 2 – 2 items | Target na [width, height] ng orihinal na larawan sa loob ng canvas. Pinapalitan ng 'aspect_ratio' ang setting na ito; kung hindi, nire-resize ang larawan sa mga dimensyong ito bago ilagay. |
| `original_image_location` |  | array of integer \| null | no |  | 2 – 2 items | Mga coordinate ng pagkakalagay [x, y] para sa upper-left corner ng orihinal na larawan, binabalewala kapag ibinigay ang 'aspect_ratio'. Pinapayagan ang paglalagay lampas sa mga hangganan ng canvas at nagkakaroon ng crop sa orihinal. |
| `prompt` |  | string \| null | no |  |  | Opsyonal na paglalarawan ng content para sa idadagdag na bahagi. Karaniwang hindi kailangan ng paglalarawan ang simpleng pagsasaayos ng canvas: ang hindi pagbibigay nito ay humihiling sa modelo na palawakin lamang ang kasalukuyang larawan. |
| `seed` |  | integer \| null | no |  | 0 – 2,147,483,647 | Seed para sa random na pagbuo, palaging kasama sa response kahit ibinigay dito o random na pinili kapag hindi ibinigay. Maaaring gamitin ang value mula sa naunang response upang muling likhain ang resulta nito. |
| `negative_prompt` |  | string \| null | no |  |  | Compatibility check para sa mga kahilingang isinulat para sa SDXL expansion API route: ang pagbibigay ng hindi sinusuportahang input na ito ay nagti-trigger ng tahasang pagtanggi upang hindi mawala nang tahimik ang value nito. Gamitin ang 'prompt' sa halip. |
| `retain_original_quality` |  | boolean | no | `true` |  | Paganahin ito upang mapanatili sa buong resolution ang mga orihinal na pixel na protektado ng mask nang walang resampling. Bumubuo ang modelo sa humigit-kumulang isang megapixel, pagkatapos ay nag-u-upscale para sa mas malalaking canvas. Kapag hindi pinagana, pantay na lumalabo ang resulta, na maaaring magtago ng seam sa textured na background. |
| `preserve_alpha` |  | boolean | no | `true` |  | Pinapanatili ang transparency ng input sa pamamagitan ng pagpapahaba ng orihinal na alpha channel gamit ang edge replication kung kinakailangan upang palawakin ang cutout. Dahil RGB ang gamit ng pagbuo, hindi gumagawa ang modelo ng alpha. I-disable ito upang makatanggap ng flattened RGB output. |
| `return_model_output` |  | boolean | no | `false` |  | Magbalik ng karagdagang diagnostic frame upang makilala ang mga error ng modelo mula sa mga error sa compositing, nang hindi binabago ang final na larawan. Ipinapakita nito ang resulta ng modelo bago ibalik ang orihinal at i-blend ang mga seam; ang boundary defect na nakikita na sa frame na ito ay error sa pagbuo, hindi error sa post-processing. |

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} | Larawang resulta ng expansion. |
| `seed` | integer | Seed na ginamit habang bumubuo, na nagpapahintulot na muling likhain ang resulta. |
| `structured_instruction` | object | Structured prompt na ginamit upang i-condition ang modelo. |
| `model_output` | object {url, content_type, file_name, file_size, width, height} \| null | Uncomposited frame na isinasama lamang kapag pinagana ang 'return_model_output'. Mayroon itong mga hinihinging dimensyon ng canvas at naglalaman ng output ng modelo nang walang ipinaskil o bina-blend na content. |

## 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