# Fibo Edit 1.5 Image Editing API

> 依文字指示進行多參考影像編輯，最多支援 4 張影像及選用遮罩

依自然語言 `instruction` 編輯影像，使用 `image_urls` 中一至四張參考影像，且其順序很重要。適合虛擬試穿、背景替換與風格轉換等工作。單影像請求可用 `mask_url` 限制編輯範圍，並可用 `structured_instruction` 重用先前結果。`aspect_ratio` 僅適用於兩張以上影像。

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

## 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/edit` 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_urls` | `images` | array of image URL \| null | no |  |  | 參考輸入；其提交順序決定指示的解析方式。請以檔案或 URL 提供 1–4 張圖像。 |
| `instruction` |  | string \| null | no |  |  | 描述圖像編輯的指示。 |
| `aspect_ratio` |  | enum (string) \| null | no |  | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | 包含多張參考圖像之請求的輸出比例覆寫值。單一參考圖像一律自行決定比例；多張參考圖像未設定此值時，會採用第一張參考圖像的比例。 |
| `seed` |  | integer | no | `5555` |  | 控制隨機性以產生可重現結果的種子。 |
| `mask_url` | `mask` | string (image URL) \| null | no |  |  | 僅適用於單一參考圖像的編輯遮罩；遮罩和生成結果都使用該參考圖像的尺寸。請提供檔案或 URL，其中白色標示重新生成區域，黑色標示其餘區域。 |
| `structured_instruction` |  | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style, edit_instruction} \| null | no |  |  | 可重複使用的結構化提示詞，包括較早編輯回傳的提示詞。未提供指示時，會原樣使用此提示詞，且 VGL 不會建立替代文件。 |
| `structured_instruction.short_description` |  | string \| null | no |  |  | 預期輸出圖像的簡短描述。 |
| `structured_instruction.objects` |  | array of object {description, location, relationship, relative_size, shape_and_color, texture, appearance_details, number_of_objects, pose, expression, clothing, action, gender, skin_tone_and_texture, orientation} \| null | no | `[]` |  | 以清單指定生成圖像的內容，記錄每個物件的屬性及其與其他圖示物件的關係。 |
| `structured_instruction.objects[].description` |  | string \| null | no |  |  | 預期輸出物件的描述。 |
| `structured_instruction.objects[].location` |  | string \| null | no |  |  | 物件在圖像中的位置。 |
| `structured_instruction.objects[].relationship` |  | string | yes |  |  | 物件與圖像中其他物件的關係。 |
| `structured_instruction.objects[].relative_size` |  | string \| null | no |  |  | 物件相對於圖像的大小。 |
| `structured_instruction.objects[].shape_and_color` |  | string \| null | no |  |  | 物件的形狀與色彩。 |
| `structured_instruction.objects[].texture` |  | string \| null | no |  |  | 物件的材質。 |
| `structured_instruction.objects[].appearance_details` |  | string \| null | no |  |  | 描述物件外觀的詳細資訊。 |
| `structured_instruction.objects[].number_of_objects` |  | integer \| null | no |  |  | 圖像中的物件數量。 |
| `structured_instruction.objects[].pose` |  | string \| null | no |  |  | 圖示物件的姿勢。 |
| `structured_instruction.objects[].expression` |  | string \| null | no |  |  | 圖示物件呈現的表情。 |
| `structured_instruction.objects[].clothing` |  | string \| null | no |  |  | 圖示物件穿著的服裝。 |
| `structured_instruction.objects[].action` |  | string \| null | no |  |  | 圖示物件執行的動作。 |
| `structured_instruction.objects[].gender` |  | string \| null | no |  |  | 圖示物件的性別。 |
| `structured_instruction.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | 圖示物件的皮膚質感與色調。 |
| `structured_instruction.objects[].orientation` |  | string \| null | no |  |  | 圖示物件的方向。 |
| `structured_instruction.background_setting` |  | string \| null | no |  |  | 生成圖像的背景設定。 |
| `structured_instruction.lighting` |  | object {conditions, direction, shadows} \| null | no |  |  | 生成圖像的光線。 |
| `structured_instruction.lighting.conditions` |  | string \| null | no |  |  | 生成圖像的光線條件。 |
| `structured_instruction.lighting.direction` |  | string \| null | no |  |  | 生成圖像的光線方向。 |
| `structured_instruction.lighting.shadows` |  | string \| null | no |  |  | 生成圖像中要呈現的陰影。 |
| `structured_instruction.aesthetics` |  | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | no |  |  | 生成圖像的美學特質。 |
| `structured_instruction.aesthetics.composition` |  | string \| null | no |  |  | 生成圖像的構圖。 |
| `structured_instruction.aesthetics.color_scheme` |  | string \| null | no |  |  | 生成圖像的色彩配置。 |
| `structured_instruction.aesthetics.mood_atmosphere` |  | string \| null | no |  |  | 生成圖像的情緒與氛圍。 |
| `structured_instruction.aesthetics.aesthetic_score` |  | string \| null | no |  |  | 正在生成之圖像的美學評分。 |
| `structured_instruction.aesthetics.preference_score` |  | string \| null | no |  |  | 正在生成之圖像的偏好評分。 |
| `structured_instruction.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | 生成圖像的攝影特性。 |
| `structured_instruction.photographic_characteristics.depth_of_field` |  | string \| null | no |  |  | 生成圖像的景深。 |
| `structured_instruction.photographic_characteristics.focus` |  | string \| null | no |  |  | 生成圖像的焦點。 |
| `structured_instruction.photographic_characteristics.camera_angle` |  | string \| null | no |  |  | 生成圖像的相機角度。 |
| `structured_instruction.photographic_characteristics.lens_focal_length` |  | string \| null | no |  |  | 生成圖像的鏡頭設定，以焦距表示。 |
| `structured_instruction.style_medium` |  | string \| null | no |  |  | 生成圖像的藝術媒材。 |
| `structured_instruction.text_render` |  | array of any \| null | no | `[]` |  | 要包含在圖像中的文字項目清單。 |
| `structured_instruction.context` |  | string \| null | no |  |  | 生成圖像的情境。 |
| `structured_instruction.artistic_style` |  | string \| null | no |  |  | 生成圖像的藝術風格。 |
| `structured_instruction.edit_instruction` |  | string \| null | no |  |  | 描述如何編輯圖像的指示。 |

File parameters (`images`, `mask`) 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
{}
```

A fuller example:

```json
{}
```

## 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/edit?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'

# 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/edit?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({}),
});
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 = {}

# 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/edit", 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/edit",
      "input": {},
      "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/edit",
  "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": {},
  "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
    },
    "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
      }
    ],
    "structured_instruction": {}
  },
  "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} | 編輯後的結果；指定 aspect_ratio 時遵循其比例，否則遵循來源圖像。 |
| `images` | array of object {url, content_type, file_name, file_size, width, height} | 使用舊版 Fibo Edit API 路由之用戶端的向後相容回應：清單中唯一項目為同一張圖像。 |
| `structured_instruction` | object | 對簡述的擴展解讀，會以實際執行的結構化指示回傳。它同時納入內建指示與透過 `instruction` 提供的任何內容。 |

## Related models

- [Bria Expand (FIBO-Edit-1.5)](https://doitong.com/developers/models/bria/fibo-edit-1.5/expand.md) (`bria/fibo-edit-1.5/expand`): $0.04 / image
- [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
- [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/edit
- 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/edit
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/bria/fibo-edit-1.5/edit