# Fibo · Structured Prompt API

> Trasforma un prompt o un'immagine di riferimento in una descrizione JSON strutturata di Fibo invece di generare un'immagine

Endpoint in stile modello linguistico che restituisce il prompt strutturato per un'immagine invece dell'immagine stessa. Gli input sono `prompt`, uno `structured_prompt` esistente o un `image_url` di riferimento, oltre a `seed`. L'output JSON include campi come estetica, illuminazione, oggetti, caratteristiche fotografiche, descrizione breve, mezzo stilistico e testo da renderizzare.

- 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/it/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 usato per generare immagini. |
| `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 |  |  | Prompt strutturato usato per la generazione dell’immagine. |
| `structured_prompt.short_description` |  | string \| null | no |  |  | Breve descrizione dell’immagine di output prevista. |
| `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 | `[]` |  | Specifica il contenuto dell’immagine generata come elenco, registrando gli attributi di ogni oggetto e le relazioni con gli altri oggetti raffigurati. |
| `structured_prompt.objects[].description` |  | string \| null | no |  |  | Descrizione dell’oggetto di output previsto. |
| `structured_prompt.objects[].location` |  | string \| null | no |  |  | Posizione dell’oggetto nell’immagine. |
| `structured_prompt.objects[].relationship` |  | string | yes |  |  | Relazione dell’oggetto con gli altri oggetti dell’immagine. |
| `structured_prompt.objects[].relative_size` |  | string \| null | no |  |  | Dimensioni dell’oggetto rispetto all’immagine. |
| `structured_prompt.objects[].shape_and_color` |  | string \| null | no |  |  | Forma e colore dell’oggetto. |
| `structured_prompt.objects[].texture` |  | string \| null | no |  |  | Texture dell’oggetto. |
| `structured_prompt.objects[].appearance_details` |  | string \| null | no |  |  | Dettagli che descrivono l’aspetto dell’oggetto. |
| `structured_prompt.objects[].number_of_objects` |  | integer \| null | no |  |  | Numero di oggetti nell’immagine. |
| `structured_prompt.objects[].pose` |  | string \| null | no |  |  | Posa dell’oggetto raffigurato. |
| `structured_prompt.objects[].expression` |  | string \| null | no |  |  | Espressione mostrata dall’oggetto raffigurato. |
| `structured_prompt.objects[].clothing` |  | string \| null | no |  |  | Abbigliamento indossato dall’oggetto raffigurato. |
| `structured_prompt.objects[].action` |  | string \| null | no |  |  | Azione eseguita dall’oggetto raffigurato. |
| `structured_prompt.objects[].gender` |  | string \| null | no |  |  | Genere dell’oggetto raffigurato. |
| `structured_prompt.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | Texture e tonalità della pelle dell’oggetto raffigurato. |
| `structured_prompt.objects[].orientation` |  | string \| null | no |  |  | Orientamento dell’oggetto raffigurato. |
| `structured_prompt.background_setting` |  | string \| null | no |  |  | Impostazione dello sfondo per l’immagine generata. |
| `structured_prompt.lighting` |  | object {conditions, direction, shadows} \| null | no |  |  | Illuminazione dell’immagine generata. |
| `structured_prompt.lighting.conditions` |  | string \| null | no |  |  | Condizioni di illuminazione dell’immagine generata. |
| `structured_prompt.lighting.direction` |  | string \| null | no |  |  | Direzione dell’illuminazione dell’immagine generata. |
| `structured_prompt.lighting.shadows` |  | string \| null | no |  |  | Ombre da rappresentare nell’immagine generata. |
| `structured_prompt.aesthetics` |  | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | no |  |  | Qualità estetiche dell’immagine generata. |
| `structured_prompt.aesthetics.composition` |  | string \| null | no |  |  | Composizione dell’immagine generata. |
| `structured_prompt.aesthetics.color_scheme` |  | string \| null | no |  |  | Tavolozza cromatica dell’immagine generata. |
| `structured_prompt.aesthetics.mood_atmosphere` |  | string \| null | no |  |  | Stato d’animo e atmosfera dell’immagine generata. |
| `structured_prompt.aesthetics.aesthetic_score` |  | string \| null | no |  |  | Punteggio estetico dell’immagine in generazione. |
| `structured_prompt.aesthetics.preference_score` |  | string \| null | no |  |  | Punteggio di preferenza dell’immagine in generazione. |
| `structured_prompt.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | Proprietà fotografiche dell’immagine generata. |
| `structured_prompt.photographic_characteristics.depth_of_field` |  | string \| null | no |  |  | Profondità di campo dell’immagine generata. |
| `structured_prompt.photographic_characteristics.focus` |  | string \| null | no |  |  | Messa a fuoco dell’immagine generata. |
| `structured_prompt.photographic_characteristics.camera_angle` |  | string \| null | no |  |  | Angolazione della fotocamera per l’immagine generata. |
| `structured_prompt.photographic_characteristics.lens_focal_length` |  | string \| null | no |  |  | Impostazione dell’obiettivo per l’immagine generata, espressa come lunghezza focale. |
| `structured_prompt.style_medium` |  | string \| null | no |  |  | Tecnica stilistica dell’immagine generata. |
| `structured_prompt.text_render` |  | array of any \| null | no | `[]` |  | Elenco delle voci di testo da includere nell’immagine. |
| `structured_prompt.context` |  | string \| null | no |  |  | Contesto dell’immagine generata. |
| `structured_prompt.artistic_style` |  | string \| null | no |  |  | Stile artistico dell’immagine generata. |
| `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 |  |  | Immagine di riferimento fornita come file o URL. |
| `seed` |  | integer | no | `5555` |  | Seed che controlla la casualità per ottenere risultati riproducibili. |

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 | Breve descrizione dell’immagine di output prevista. |
| `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 | Specifica il contenuto dell’immagine generata come elenco, registrando gli attributi di ogni oggetto e le relazioni con gli altri oggetti raffigurati. |
| `background_setting` | string \| null | Impostazione dello sfondo per l’immagine generata. |
| `lighting` | object {conditions, direction, shadows} \| null | Illuminazione dell’immagine generata. |
| `aesthetics` | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | Qualità estetiche dell’immagine generata. |
| `photographic_characteristics` | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | Proprietà fotografiche dell’immagine generata. |
| `style_medium` | string \| null | Tecnica stilistica dell’immagine generata. |
| `text_render` | array of any \| null | Elenco delle voci di testo da includere nell’immagine. |
| `context` | string \| null | Contesto dell’immagine generata. |
| `artistic_style` | string \| null | Stile artistico dell’immagine generata. |

## 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