# Fibo Lite · Structured Prompt API

> Kino-convert ang teksto o larawan sa structured JSON prompt ng Fibo Lite sa halip na gumawa ng larawan

Nagbabalik ng structured description para gamitin sa Fibo Lite sa halip na larawan. Ang mga input ay `prompt`, umiiral na `structured_prompt` o `image_url`, kasama ang `seed`. Sinasaklaw ng JSON output ang aesthetics, artistic estilo, background setting, lighting, objects, photographic characteristics, subject emotions at teksto renders.

- Model id: `bria/fibo-lite/generate/structured_prompt`
- Made by: Bria AI
- Category: LLM
- Output: json
- Price: $0.008 / request (cheapest run $0.008 (8 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/fibo-lite/generate/structured_prompt`
- Quote: `POST https://api.doitong.com/v1/quote/bria/fibo-lite/generate/structured_prompt`
- Docs page: https://doitong.com/fil/developers/models/bria/fibo-lite/generate/structured_prompt

## Pricing

Price: **$0.008 / request**. Billed once per request.

The full example input below costs $0.008 = 8 API credits (1 request × 8 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-lite/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 na ginamit para sa pagbuo. |
| `structured_prompt` |  | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style, subject_emotions} \| null | no |  |  | Structured prompt na ginamit para sa pagbuo. |
| `structured_prompt.short_description` |  | string | yes |  |  | Maikling pangkalahatang paglalarawan ng nilalaman ng larawan, na hanggang 200 salita. |
| `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} | yes |  |  | Listahan ng mahahalagang object sa foreground o midground. |
| `structured_prompt.objects[].description` |  | string | yes |  |  | Maikling buod na naglalarawan sa object. |
| `structured_prompt.objects[].location` |  | string | yes |  |  | Lokasyon, halimbawa: 'center', 'top-left', o 'bottom-right foreground'. |
| `structured_prompt.objects[].relationship` |  | string | yes |  |  | Ilarawan kung paano nauugnay ang object na ito sa iba pang nasa loob ng larawan. |
| `structured_prompt.objects[].relative_size` |  | string \| null | no |  |  | Laki, halimbawa: 'small', 'medium', o 'large within frame'. |
| `structured_prompt.objects[].shape_and_color` |  | string \| null | no |  |  | Pangunahing anyo at kulay ng object. |
| `structured_prompt.objects[].texture` |  | string \| null | no |  |  | Texture, halimbawa: 'smooth', 'rough', 'metallic', o 'furry'. |
| `structured_prompt.objects[].appearance_details` |  | string \| null | no |  |  | Karagdagang biswal na katangiang dapat tandaan. |
| `structured_prompt.objects[].number_of_objects` |  | integer \| null | no |  |  | Bilang ng mga object sa loob ng cluster. |
| `structured_prompt.objects[].pose` |  | string \| null | no |  |  | Posisyon ng katawan. |
| `structured_prompt.objects[].expression` |  | string \| null | no |  |  | Ekspresyong makikita sa mukha. |
| `structured_prompt.objects[].clothing` |  | string \| null | no |  |  | Damit na suot. |
| `structured_prompt.objects[].action` |  | string \| null | no |  |  | Aksiyong ginagawa ng tao. |
| `structured_prompt.objects[].gender` |  | string \| null | no |  |  | Kasarian ng tao. |
| `structured_prompt.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | Tono at texture ng balat. |
| `structured_prompt.objects[].orientation` |  | string \| null | no |  |  | Oryentasyon ng tao. |
| `structured_prompt.background_setting` |  | string | yes |  |  | Paglalarawan sa buong eksena: kung saan ito nagaganap, ang paligid o backdrop nito, at anumang kapansin-pansing katangian sa background. |
| `structured_prompt.lighting` |  | object {conditions, direction, shadows} | yes |  |  | Impormasyong naglalarawan sa pag-iilaw. |
| `structured_prompt.lighting.conditions` |  | string | yes |  |  | Kabilang sa mga halimbawa ng pag-iilaw ang 'bright daylight', 'dim indoor', 'studio lighting', at 'golden hour'. |
| `structured_prompt.lighting.direction` |  | string | yes |  |  | Direksiyon ng pag-iilaw; kabilang sa mga halimbawa ang 'front-lit', 'backlit', at 'side-lit from left'. |
| `structured_prompt.lighting.shadows` |  | string \| null | no |  |  | Paglalarawan sa anumang aninong naroroon. |
| `structured_prompt.aesthetics` |  | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} | yes |  |  | Impormasyong naglalarawan sa aesthetics ng larawan. |
| `structured_prompt.aesthetics.composition` |  | string | yes |  |  | Estilo ng komposisyon; kabilang sa mga halimbawa ang 'rule of thirds', 'symmetrical', 'centered', at 'leading lines'. |
| `structured_prompt.aesthetics.color_scheme` |  | string | yes |  |  | Color scheme; kabilang sa mga halimbawa ang 'monochromatic blue', 'warm complementary colors', at 'high contrast'. |
| `structured_prompt.aesthetics.mood_atmosphere` |  | string | yes |  |  | Mood o atmosphere, halimbawa `joyful`, `serene`, `mysterious`, o `energetic`. |
| `structured_prompt.aesthetics.aesthetic_score` |  | string | yes |  |  | Paglalarawan ng score, halimbawa medium, very low, low, very high, o high. |
| `structured_prompt.aesthetics.preference_score` |  | string | yes |  |  | Paglalarawan ng score, halimbawa medium, very low, low, very high, o high. |
| `structured_prompt.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | Impormasyong naglalarawan sa mga katangiang potograpiko. |
| `structured_prompt.photographic_characteristics.depth_of_field` |  | string | yes |  |  | Depth of field; kabilang sa mga halimbawa ang 'shallow', 'deep', at 'bokeh background'. |
| `structured_prompt.photographic_characteristics.focus` |  | string | yes |  |  | Mga katangian ng focus; kabilang sa mga halimbawa ang 'sharp focus on subject', 'soft focus', at 'motion blur'. |
| `structured_prompt.photographic_characteristics.camera_angle` |  | string | yes |  |  | Anggulo ng camera; kabilang sa mga halimbawa ang 'eye-level', 'low angle', 'high angle', at 'dutch angle'. |
| `structured_prompt.photographic_characteristics.lens_focal_length` |  | string | yes |  |  | Uri ng lens o focal length, halimbawa `macro`, `fisheye`, `wide-angle`, o `telephoto`. |
| `structured_prompt.style_medium` |  | string \| null | no |  |  | Artistikong medium o estilong ginamit. |
| `structured_prompt.text_render` |  | array of object {text, location, size, color, font, appearance_details} \| null | no |  |  | Listahan ng mga text element na ni-render sa loob ng larawan. |
| `structured_prompt.text_render[].text` |  | string | yes |  |  | Nilalaman ng text. |
| `structured_prompt.text_render[].location` |  | string | yes |  |  | Lokasyon, halimbawa: 'center', 'top-left', o 'bottom-right foreground'. |
| `structured_prompt.text_render[].size` |  | string | yes |  |  | Laki, halimbawa: 'small', 'medium', o 'large within frame'. |
| `structured_prompt.text_render[].color` |  | string | yes |  |  | Kulay, halimbawa `green`, `red`, o `blue`. |
| `structured_prompt.text_render[].font` |  | string | yes |  |  | Estilo ng font, halimbawa `minimalist`, `realistic`, o `cartoonish`. |
| `structured_prompt.text_render[].appearance_details` |  | string \| null | no |  |  | Karagdagang biswal na katangiang dapat tandaan. |
| `structured_prompt.context` |  | string | yes |  |  | Karagdagang kontekstong makatutulong sa interpretasyon ng larawan. |
| `structured_prompt.artistic_style` |  | string | yes |  |  | Mga partikular na artistikong katangian, na ipinahayag sa hanggang 3 salita. |
| `structured_prompt.subject_emotions` |  | string \| null | no |  |  | Tahasang paglalarawan sa mga nakikitang ekspresyon o emosyon ng mga subject. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | URL ng input na larawan. |
| `seed` |  | integer | no | `7` |  | Seed na ginamit ng random-number generator. |

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-lite/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-lite/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-lite/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-lite/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-lite/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": 8,
    "usd": "0.008",
    "charged": 8,
    "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": [
      {
        "text": "string",
        "location": "string",
        "size": "string",
        "color": "string",
        "font": "string",
        "appearance_details": "string"
      }
    ],
    "context": "string",
    "artistic_style": "string",
    "subject_emotions": "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 | Maikling pangkalahatang paglalarawan ng nilalaman ng larawan, na hanggang 200 salita. |
| `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} | Listahan ng mahahalagang object sa foreground o midground. |
| `background_setting` | string | Paglalarawan sa buong eksena: kung saan ito nagaganap, ang paligid o backdrop nito, at anumang kapansin-pansing katangian sa background. |
| `lighting` | object {conditions, direction, shadows} | Impormasyong naglalarawan sa pag-iilaw. |
| `aesthetics` | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} | Impormasyong naglalarawan sa aesthetics ng larawan. |
| `photographic_characteristics` | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | Impormasyong naglalarawan sa mga katangiang potograpiko. |
| `style_medium` | string \| null | Artistikong medium o estilong ginamit. |
| `text_render` | array of object {text, location, size, color, font, appearance_details} \| null | Listahan ng mga text element na ni-render sa loob ng larawan. |
| `context` | string | Karagdagang kontekstong makatutulong sa interpretasyon ng larawan. |
| `artistic_style` | string | Mga partikular na artistikong katangian, na ipinahayag sa hanggang 3 salita. |
| `subject_emotions` | string \| null | Tahasang paglalarawan sa mga nakikitang ekspresyon o emosyon ng mga subject. |

## Related models

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- [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 · Structured Prompt](https://doitong.com/developers/models/bria/fibo/generate/structured_prompt.md) (`bria/fibo/generate/structured_prompt`): $0.01 / 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-lite/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-lite/generate/structured_prompt
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bria/fibo-lite/generate/structured_prompt