# Fibo 2.0 Generate API

> 将提示扩展为结构化 VGL 的文生图模型，支持风格预设和参考图模式

根据自由格式的 `prompt` 创建图像，并将其扩展为 VGL 文档后返回。你也可以直接传入 `vgl`，或使用提示对其进行优化，或者提供 `image_url` 作为视觉参考。`style` 提供 Kodak Film、Hard Flash、Hazy Dreamy 和 Rough Realism。`aspect_ratio` 提供 16 个值，并支持 `seed`。

- Model id: `bria/fibo-2/generate`
- Made by: Bria AI
- Category: Text to Image
- Output: image
- Price: $0.04 / image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/fibo-2/generate`
- Quote: `POST https://api.doitong.com/v1/quote/bria/fibo-2/generate`
- Docs page: https://doitong.com/zh/developers/models/bria/fibo-2/generate

## 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-2/generate` 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string \| null | no |  |  | 指定对 'vgl' 进行更改的生成请求。未提供时，会将自由格式描述扩展为 VGL 文档，并包含在响应中。 |
| `style` |  | enum (string) \| null | no |  | `Kodak Film`, `Hard Flash`, `Hazy Dreamy`, `Rough Realism` | 仅与 'prompt' 一起使用的生成图像样式。不支持将样式与 'image_url'、'vgl' 或 'negative_prompt' 组合使用。 |
| `image_url` | `image` | string (image URL) \| null | no |  |  | inspire 模式的参考图像；不能与 `vgl` 组合使用。提供 `prompt` 时，VGL 会从参考图像中获取视觉线索，创建提示场景的新描绘，而不是复现参考图像。不提供 `prompt` 时，VGL 会描述参考图像本身并生成其近似变体。 |
| `vgl` |  | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style} \| null | no |  |  | 包含结构化 JSON 场景描述的 VGL（Visual Generation Language）文档；接受之前请求返回的文档。不提供 `prompt` 时按原样渲染；提供 `prompt` 时，VGL 会根据提示词优化文档后再渲染。不能与 `image_url` 或 `style` 组合使用。 |
| `vgl.short_description` |  | string \| null | no |  |  | 对目标输出图像的简要描述。 |
| `vgl.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 | `[]` |  | 以列表形式指定生成图像的内容，记录每个对象的属性及其与其他对象的关系。 |
| `vgl.objects[].description` |  | string \| null | no |  |  | 目标输出对象的描述。 |
| `vgl.objects[].location` |  | string \| null | no |  |  | 对象在图像中的位置。 |
| `vgl.objects[].relationship` |  | string | yes |  |  | 对象与图像中其他对象的关系。 |
| `vgl.objects[].relative_size` |  | string \| null | no |  |  | 对象相对于图像的尺寸。 |
| `vgl.objects[].shape_and_color` |  | string \| null | no |  |  | 对象的形状和颜色。 |
| `vgl.objects[].texture` |  | string \| null | no |  |  | 对象的纹理。 |
| `vgl.objects[].appearance_details` |  | string \| null | no |  |  | 描述对象外观的详细信息。 |
| `vgl.objects[].number_of_objects` |  | integer \| null | no |  |  | 图像中的对象数量。 |
| `vgl.objects[].pose` |  | string \| null | no |  |  | 所描绘对象的姿势。 |
| `vgl.objects[].expression` |  | string \| null | no |  |  | 所描绘对象的表情。 |
| `vgl.objects[].clothing` |  | string \| null | no |  |  | 所描绘对象穿着的服装。 |
| `vgl.objects[].action` |  | string \| null | no |  |  | 所描绘对象执行的动作。 |
| `vgl.objects[].gender` |  | string \| null | no |  |  | 所描绘对象的性别。 |
| `vgl.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | 所描绘对象的皮肤纹理和色调。 |
| `vgl.objects[].orientation` |  | string \| null | no |  |  | 所描绘对象的朝向。 |
| `vgl.background_setting` |  | string \| null | no |  |  | 生成图像的背景环境。 |
| `vgl.lighting` |  | object {conditions, direction, shadows} \| null | no |  |  | 生成图像的照明。 |
| `vgl.lighting.conditions` |  | string \| null | no |  |  | 生成图像的光照条件。 |
| `vgl.lighting.direction` |  | string \| null | no |  |  | 生成图像的光照方向。 |
| `vgl.lighting.shadows` |  | string \| null | no |  |  | 生成图像中要描绘的阴影。 |
| `vgl.aesthetics` |  | object {composition, color_scheme, mood_atmosphere} \| null | no |  |  | 生成图像的美学特征。 |
| `vgl.aesthetics.composition` |  | string \| null | no |  |  | 生成图像的构图。 |
| `vgl.aesthetics.color_scheme` |  | string \| null | no |  |  | 生成图像的调色板。 |
| `vgl.aesthetics.mood_atmosphere` |  | string \| null | no |  |  | 生成图像的情绪和氛围。 |
| `vgl.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | 生成图像的摄影属性。 |
| `vgl.photographic_characteristics.depth_of_field` |  | string \| null | no |  |  | 生成图像的景深。 |
| `vgl.photographic_characteristics.focus` |  | string \| null | no |  |  | 生成图像的焦点。 |
| `vgl.photographic_characteristics.camera_angle` |  | string \| null | no |  |  | 生成图像的相机角度。 |
| `vgl.photographic_characteristics.lens_focal_length` |  | string \| null | no |  |  | 生成图像的镜头设置，以焦距表示。 |
| `vgl.style_medium` |  | string \| null | no |  |  | 生成图像的艺术媒介。 |
| `vgl.text_render` |  | array of object {text, location, size, color, font, appearance_details} \| null | no | `[]` |  | 要包含在图像中的文本条目列表。 |
| `vgl.text_render[].text` |  | string | yes |  |  | 要渲染的文本，也会以图像形式视觉呈现给 fibo-2，以帮助其准确复现所提供的措辞。 |
| `vgl.text_render[].location` |  | string \| null | no |  |  | 文本在图像中的位置。 |
| `vgl.text_render[].size` |  | string \| null | no |  |  | 文本在图像中的大小。 |
| `vgl.text_render[].color` |  | string \| null | no |  |  | 文本使用的颜色。 |
| `vgl.text_render[].font` |  | string \| null | no |  |  | 文本的字体样式。 |
| `vgl.text_render[].appearance_details` |  | string \| null | no |  |  | 关于文本外观的其他重要细节。 |
| `vgl.context` |  | string \| null | no |  |  | 生成图像的上下文。 |
| `vgl.artistic_style` |  | string \| null | no |  |  | 生成图像的艺术风格。 |
| `seed` |  | integer | no | `5555` | 0 – 2,147,483,647 | 控制随机性的种子，用于获得可复现的结果，范围为 0 到 2147483647。 |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `1:1`, `1:2`, `1:3`, `1:4`, `1:5`, `2:1`, `2:3`, `3:1`, `3:2`, `3:4`, `4:1`, `4:3`, `4:5`, `5:1`, `5:4`, `9:16`, `9:21`, `10:16`, `16:9`, `16:10`, `21:9` | 约为一百万像素的图像比例。可用比例：1:1, 1:2, 1:3, 1:4, 1:5, 2:1, 2:3, 3:1, 3:2, 3:4, 4:1, 4:3, 4:5, 5:1, 5:4, 9:16, 9:21, 10:16, 16:9, 16:10, 21:9。 |

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
{}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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-2/generate?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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-2/generate?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/fibo-2/generate", 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-2/generate",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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-2/generate",
  "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": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
      }
    ],
    "vgl": {}
  },
  "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} | 模型生成的图像。 |
| `images` | array of object {url, content_type, file_name, file_size, width, height} | 与其他 FIBO 应用返回格式匹配的图像列表；唯一条目就是同一张图像。 |
| `vgl` | object | 用于生成图像的 VGL。 |

## Related models

- [Fibo 2.0 Edit](https://doitong.com/developers/models/bria/fibo-2/edit.md) (`bria/fibo-2/edit`): $0.04 / image
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/bria/fibo-2/generate
- 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-2/generate
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bria/fibo-2/generate