# Fibo Lite API

> Séier, liicht Text-zu-Bild-Modell mat Ënnerstëtzung fir strukturéiert Prompts an engem optionalen Referenzbild

Méi liicht Fibo-Variant, déi Biller aus engem `prompt` oder `structured_prompt` erstellt, mat engem optionalen `image_url` als Input. D'Astellunge sinn `seed` (Standard 7) an `aspect_ratio` aus néng Wäerter. Et gëtt keng Kontroll iwwer Resolutioun oder Schrëtt, an de strukturéierte Prompt gëtt zesumme mam Bild zeréckginn.

- Model id: `bria/fibo-lite/generate`
- Made by: Bria AI
- Category: Text to Image
- Output: image
- Price: $0.036 / image (cheapest run $0.036 (36 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/fibo-lite/generate`
- Quote: `POST https://api.doitong.com/v1/quote/bria/fibo-lite/generate`
- Docs page: https://doitong.com/lb/developers/models/bria/fibo-lite/generate

## Pricing

Price: **$0.036 / image**. Billed per generated image.

The full example input below costs $0.036 = 36 API credits (1 image × 36 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` 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, dee fir d'Generatioun benotzt gëtt. |
| `structured_prompt` |  | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style, subject_emotions} \| null | no |  |  | Strukturéierte Prompt, dee fir d'Generatioun benotzt gëtt. |
| `structured_prompt.short_description` |  | string | yes |  |  | Kuerzen Iwwerbléck iwwer den Inhalt vum Bild, limitéiert op 200 Wierder. |
| `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 |  |  | Lëscht vun de bemierkenswäerten Objeten am Vir- oder Mëttelgrond. |
| `structured_prompt.objects[].description` |  | string | yes |  |  | Kuerz Zesummefaassung, déi den Objet beschreift. |
| `structured_prompt.objects[].location` |  | string | yes |  |  | Positioun, zum Beispill: 'center', 'top-left' oder 'bottom-right foreground'. |
| `structured_prompt.objects[].relationship` |  | string | yes |  |  | Beschreift, wéi dësen Objet mat aneren am Bild zesummenhänkt. |
| `structured_prompt.objects[].relative_size` |  | string \| null | no |  |  | Gréisst, zum Beispill: 'small', 'medium' oder 'large within frame'. |
| `structured_prompt.objects[].shape_and_color` |  | string \| null | no |  |  | Basisform an Haaptfaarf vum Objet. |
| `structured_prompt.objects[].texture` |  | string \| null | no |  |  | Textur, zum Beispill: 'smooth', 'rough', 'metallic' oder 'furry'. |
| `structured_prompt.objects[].appearance_details` |  | string \| null | no |  |  | Zousätzlech visuell Eegenschaften, déi derwäert sinn ervirzehiewen. |
| `structured_prompt.objects[].number_of_objects` |  | integer \| null | no |  |  | Unzuel vun Objeten am Cluster. |
| `structured_prompt.objects[].pose` |  | string \| null | no |  |  | Positioun vum Kierper. |
| `structured_prompt.objects[].expression` |  | string \| null | no |  |  | Gesichtsausdrock. |
| `structured_prompt.objects[].clothing` |  | string \| null | no |  |  | Gedroe Kleedung. |
| `structured_prompt.objects[].action` |  | string \| null | no |  |  | Aktioun, déi d'Persoun ausféiert. |
| `structured_prompt.objects[].gender` |  | string \| null | no |  |  | Geschlecht vun der Persoun. |
| `structured_prompt.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | Toun an Textur vun der Haut. |
| `structured_prompt.objects[].orientation` |  | string \| null | no |  |  | Orientéierung vun der Persoun. |
| `structured_prompt.background_setting` |  | string | yes |  |  | Beschreiwung vun der ganzer Szen: wou se stattfënnt, hir Ëmgéigend oder hiren Hannergrond, an all bemierkenswäert Hannergronddetailer. |
| `structured_prompt.lighting` |  | object {conditions, direction, shadows} | yes |  |  | Informatioun iwwer d'Beliichtung. |
| `structured_prompt.lighting.conditions` |  | string | yes |  |  | Beispiller fir Beliichtung sinn 'bright daylight', 'dim indoor', 'studio lighting' an 'golden hour'. |
| `structured_prompt.lighting.direction` |  | string | yes |  |  | Richtung vun der Beliichtung; Beispiller sinn 'front-lit', 'backlit' an 'side-lit from left'. |
| `structured_prompt.lighting.shadows` |  | string \| null | no |  |  | Beschreiwung vun all vorhandene Schatten. |
| `structured_prompt.aesthetics` |  | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} | yes |  |  | Informatioun iwwer d'Ästhetik vum Bild. |
| `structured_prompt.aesthetics.composition` |  | string | yes |  |  | Kompositiounsstil; Beispiller sinn 'rule of thirds', 'symmetrical', 'centered' an 'leading lines'. |
| `structured_prompt.aesthetics.color_scheme` |  | string | yes |  |  | Faarfschema; Beispiller sinn 'monochromatic blue', 'warm complementary colors' an 'high contrast'. |
| `structured_prompt.aesthetics.mood_atmosphere` |  | string | yes |  |  | Stëmmung oder Atmosphär, zum Beispill `joyful`, `serene`, `mysterious` oder `energetic`. |
| `structured_prompt.aesthetics.aesthetic_score` |  | string | yes |  |  | Beschreiwung vum Score, zum Beispill medium, very low, low, very high oder high. |
| `structured_prompt.aesthetics.preference_score` |  | string | yes |  |  | Beschreiwung vum Score, zum Beispill medium, very low, low, very high oder high. |
| `structured_prompt.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | Informatioun iwwer déi fotografesch Eegenschaften. |
| `structured_prompt.photographic_characteristics.depth_of_field` |  | string | yes |  |  | Déifteschärft; Beispiller sinn 'shallow', 'deep' an 'bokeh background'. |
| `structured_prompt.photographic_characteristics.focus` |  | string | yes |  |  | Fokuseegenschaften; Beispiller sinn 'sharp focus on subject', 'soft focus' an 'motion blur'. |
| `structured_prompt.photographic_characteristics.camera_angle` |  | string | yes |  |  | Kamera-Wénkel; Beispiller sinn 'eye-level', 'low angle', 'high angle' an 'dutch angle'. |
| `structured_prompt.photographic_characteristics.lens_focal_length` |  | string | yes |  |  | Objektivtyp oder Brennwäit, zum Beispill `macro`, `fisheye`, `wide-angle` oder `telephoto`. |
| `structured_prompt.style_medium` |  | string \| null | no |  |  | Kënschtlerescht Medium oder benotzte Stil. |
| `structured_prompt.text_render` |  | array of object {text, location, size, color, font, appearance_details} \| null | no |  |  | Lëscht vun den Texteelementer, déi am Bild duergestallt ginn. |
| `structured_prompt.text_render[].text` |  | string | yes |  |  | Inhalt vum Text. |
| `structured_prompt.text_render[].location` |  | string | yes |  |  | Positioun, zum Beispill: 'center', 'top-left' oder 'bottom-right foreground'. |
| `structured_prompt.text_render[].size` |  | string | yes |  |  | Gréisst, zum Beispill: 'small', 'medium' oder 'large within frame'. |
| `structured_prompt.text_render[].color` |  | string | yes |  |  | Faarf, zum Beispill `green`, `red` oder `blue`. |
| `structured_prompt.text_render[].font` |  | string | yes |  |  | Schrëftstil, zum Beispill `minimalist`, `realistic` oder `cartoonish`. |
| `structured_prompt.text_render[].appearance_details` |  | string \| null | no |  |  | Zousätzlech visuell Eegenschaften, déi derwäert sinn ervirzehiewen. |
| `structured_prompt.context` |  | string | yes |  |  | Zousätzleche Kontext, fir d'Interpretatioun vum Bild ze erliichteren. |
| `structured_prompt.artistic_style` |  | string | yes |  |  | Spezifesch kënschtleresch Eegenschaften, ausgedréckt a maximal 3 Wierder. |
| `structured_prompt.subject_emotions` |  | string \| null | no |  |  | Explizit Beschreiwung vun de siichtbaren Ausdréck oder Emotioune vun de Sujeten. |
| `image_url` | `image` | string (image URL) \| null | no |  |  | URL vum Input-Bild. |
| `seed` |  | integer | no | `7` |  | Seed, dee vum Zoufallszuelengenerator benotzt gëtt. |
| `aspect_ratio` |  | enum (string) | no | `1:1` | `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9` | Bildverhältnis; verfügbar Wäerter sinn 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9. |

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-lite/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-lite/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-lite/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-lite/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-lite/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": 36,
    "usd": "0.036",
    "charged": 36,
    "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": [
      {}
    ],
    "structured_prompt": {
      "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": "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} | Bild, dat vum Modell produzéiert gëtt. |
| `images` | array of object | Biller, déi duerch d'Generatioun erstallt goufen. |
| `structured_prompt` | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style, subject_emotions} | Aktuell benotzte Prompt. |

## Related models

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