# Fibo · Structured Prompt API

> Turns a prompt or reference image into Fibo's structured JSON description instead of rendering an image

Language-model style endpoint that returns the structured prompt for an image rather than the image itself. Inputs are `prompt`, an existing `structured_prompt` or a reference `image_url`, plus `seed`. The JSON output includes fields such as aesthetics, lighting, objects, photographic characteristics, short description, style medium and text to render.

- Model id: `bria/fibo/generate/structured_prompt`
- Made by: Bria AI
- Category: LLM
- Output: json
- Price: $0.01 / request (cheapest run $0.01 (10 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/fibo/generate/structured_prompt`
- Quote: `POST https://api.doitong.com/v1/quote/bria/fibo/generate/structured_prompt`
- Docs page: https://doitong.com/developers/models/bria/fibo/generate/structured_prompt

## Pricing

Price: **$0.01 / request**. Billed once per request.

The full example input below costs $0.01 = 10 API credits (1 request × 10 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/generate/structured_prompt` 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 |  |  | Prompt used to generate images. |
| `structured_prompt` |  | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style, trigger_word, sub_trigger_word, art_direction, action_description, actor_prefix} \| null | no |  |  | Structured prompt used for image generation. |
| `structured_prompt.short_description` |  | string \| null | no |  |  | Brief description of the intended output image. |
| `structured_prompt.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 | `[]` |  | Specify the generated image's contents as a list, recording each object's attributes and its relationships with the other depicted objects. |
| `structured_prompt.objects[].description` |  | string \| null | no |  |  | Description of the intended output object. |
| `structured_prompt.objects[].location` |  | string \| null | no |  |  | Object position within the image. |
| `structured_prompt.objects[].relationship` |  | string | yes |  |  | Object's relationship to the image's other objects. |
| `structured_prompt.objects[].relative_size` |  | string \| null | no |  |  | Object size relative to the image. |
| `structured_prompt.objects[].shape_and_color` |  | string \| null | no |  |  | Object's shape and color. |
| `structured_prompt.objects[].texture` |  | string \| null | no |  |  | Object's texture. |
| `structured_prompt.objects[].appearance_details` |  | string \| null | no |  |  | Details describing the object's appearance. |
| `structured_prompt.objects[].number_of_objects` |  | integer \| null | no |  |  | Count of objects within the image. |
| `structured_prompt.objects[].pose` |  | string \| null | no |  |  | Pose of the depicted object. |
| `structured_prompt.objects[].expression` |  | string \| null | no |  |  | Expression shown by the depicted object. |
| `structured_prompt.objects[].clothing` |  | string \| null | no |  |  | Clothing worn by the depicted object. |
| `structured_prompt.objects[].action` |  | string \| null | no |  |  | Action performed by the depicted object. |
| `structured_prompt.objects[].gender` |  | string \| null | no |  |  | Gender of the depicted object. |
| `structured_prompt.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | Skin texture and tone of the depicted object. |
| `structured_prompt.objects[].orientation` |  | string \| null | no |  |  | Orientation of the depicted object. |
| `structured_prompt.background_setting` |  | string \| null | no |  |  | Background setting for the generated image. |
| `structured_prompt.lighting` |  | object {conditions, direction, shadows} \| null | no |  |  | Lighting for the generated image. |
| `structured_prompt.lighting.conditions` |  | string \| null | no |  |  | Lighting conditions for the generated image. |
| `structured_prompt.lighting.direction` |  | string \| null | no |  |  | Lighting direction for the generated image. |
| `structured_prompt.lighting.shadows` |  | string \| null | no |  |  | Shadows to depict in the generated image. |
| `structured_prompt.aesthetics` |  | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | no |  |  | Aesthetic qualities for the generated image. |
| `structured_prompt.aesthetics.composition` |  | string \| null | no |  |  | Composition for the generated image. |
| `structured_prompt.aesthetics.color_scheme` |  | string \| null | no |  |  | Color palette for the generated image. |
| `structured_prompt.aesthetics.mood_atmosphere` |  | string \| null | no |  |  | Mood and atmosphere for the generated image. |
| `structured_prompt.aesthetics.aesthetic_score` |  | string \| null | no |  |  | Aesthetic score for the image being generated. |
| `structured_prompt.aesthetics.preference_score` |  | string \| null | no |  |  | Preference score for the image being generated. |
| `structured_prompt.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | Photographic properties for the generated image. |
| `structured_prompt.photographic_characteristics.depth_of_field` |  | string \| null | no |  |  | Depth of field for the generated image. |
| `structured_prompt.photographic_characteristics.focus` |  | string \| null | no |  |  | Focus for the generated image. |
| `structured_prompt.photographic_characteristics.camera_angle` |  | string \| null | no |  |  | Camera angle for the generated image. |
| `structured_prompt.photographic_characteristics.lens_focal_length` |  | string \| null | no |  |  | Lens setting for the generated image, expressed as a focal length. |
| `structured_prompt.style_medium` |  | string \| null | no |  |  | Stylistic medium for the generated image. |
| `structured_prompt.text_render` |  | array of any \| null | no | `[]` |  | List of text entries to include in the image. |
| `structured_prompt.context` |  | string \| null | no |  |  | Context for the generated image. |
| `structured_prompt.artistic_style` |  | string \| null | no |  |  | Artistic style for the generated image. |
| `structured_prompt.trigger_word` |  | string \| null | no |  |  |  |
| `structured_prompt.sub_trigger_word` |  | string \| null | no |  |  |  |
| `structured_prompt.art_direction` |  | string \| null | no |  |  |  |
| `structured_prompt.action_description` |  | string \| null | no |  |  |  |
| `structured_prompt.actor_prefix` |  | string \| null | no |  |  |  |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Reference image supplied as a file or URL. |
| `seed` |  | integer | no | `5555` |  | Seed controlling randomness for reproducible results. |

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/generate/structured_prompt?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/generate/structured_prompt?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/generate/structured_prompt", 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/generate/structured_prompt",
      "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/generate/structured_prompt",
  "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": 10,
    "usd": "0.01",
    "charged": 10,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "short_description": "string",
    "objects": [
      {
        "description": "string",
        "location": "string",
        "relationship": "string",
        "relative_size": "string",
        "shape_and_color": "string",
        "texture": "string",
        "appearance_details": "string",
        "number_of_objects": 1,
        "pose": "string",
        "expression": "string",
        "clothing": "string",
        "action": "string",
        "gender": "string",
        "skin_tone_and_texture": "string",
        "orientation": "string"
      }
    ],
    "background_setting": "string",
    "lighting": {
      "conditions": "string",
      "direction": "string",
      "shadows": "string"
    },
    "aesthetics": {
      "composition": "string",
      "color_scheme": "string",
      "mood_atmosphere": "string",
      "aesthetic_score": "string",
      "preference_score": "string"
    },
    "photographic_characteristics": {
      "depth_of_field": "string",
      "focus": "string",
      "camera_angle": "string",
      "lens_focal_length": "string"
    },
    "style_medium": "string",
    "text_render": [],
    "context": "string",
    "artistic_style": "string"
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "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 |
|---|---|---|
| `short_description` | string \| null | Brief description of the intended output image. |
| `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 | Specify the generated image's contents as a list, recording each object's attributes and its relationships with the other depicted objects. |
| `background_setting` | string \| null | Background setting for the generated image. |
| `lighting` | object {conditions, direction, shadows} \| null | Lighting for the generated image. |
| `aesthetics` | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | Aesthetic qualities for the generated image. |
| `photographic_characteristics` | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | Photographic properties for the generated image. |
| `style_medium` | string \| null | Stylistic medium for the generated image. |
| `text_render` | array of any \| null | List of text entries to include in the image. |
| `context` | string \| null | Context for the generated image. |
| `artistic_style` | string \| null | Artistic style for the generated image. |

## Related models

- [Fibo](https://doitong.com/developers/models/bria/fibo/generate.md) (`bria/fibo/generate`): $0.04 / image
- [Fibo Edit \[Structured Instruction\]](https://doitong.com/developers/models/bria/fibo-edit/edit/structured_instruction.md) (`bria/fibo-edit/edit/structured_instruction`): $0.01 / request
- [Fibo Lite · Structured Prompt](https://doitong.com/developers/models/bria/fibo-lite/generate/structured_prompt.md) (`bria/fibo-lite/generate/structured_prompt`): $0.008 / request
- [Bytedance Seed V2 Mini](https://doitong.com/developers/models/bytedance/seed/v2/mini.md) (`bytedance/seed/v2/mini`): $0.0001 / 1000 tokens
- [Mureka 9.5 Lyrics Generation](https://doitong.com/developers/models/mureka/api/generate/lyrics.md) (`mureka/api/generate/lyrics`): $0.0135 / request
- [Nemotron 3 Nano Omni](https://doitong.com/developers/models/nvidia/nemotron-3-nano-omni.md) (`nvidia/nemotron-3-nano-omni`): $0.01 / run
- [NVIDIA Nemotron 3.5 Super Text](https://doitong.com/developers/models/nvidia/nemotron-3-5-super/text.md) (`nvidia/nemotron-3-5-super/text`): $0.01 / run
- [OpenRouter](https://doitong.com/developers/models/openrouter/router.md) (`openrouter/router`): $0.01 / usage unit

## Links

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