FIBO is an open-source JSON-native text-to-image model that maps intent to structured controls for precise enterprise image generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Idle
$0.04per run·~25 / $1
ExamplesView all
A hidden ancient ruin, overgrown with bioluminescent moss and glowing fungi, deep within an ethereal, mist-shrouded forest. Whispering spirits, barely visible as shimmering lights, drift among towering, gnarled trees. A waterfall cascades into a crystal-clear pool reflecting the moonlight.
A bustling aerial view of a utopian city built into the side of a colossal mountain. Automated sky-trams glide silently between chrome towers. Vertical farms glow with soft light, and waterfalls are integrated into the architecture. People in elegant, flowing garments walk on transparent sky-bridges.
A sleek, futuristic starfighter dogfighting against a swarm of alien interceptors amidst the rings of a gas giant. Explosions light up the darkness, revealing distant nebulae and debris from previous clashes. The pilot's cockpit glows with holographic displays.
A high-angle shot of a lone cyborg detective standing on the rain-slicked balcony of a futuristic skyscraper. Below, the sprawling city is a dense network of flying vehicles and massive, glowing holographic advertisements. The detective wears a long trench coat, and the neon light reflects off their chrome prosthetic arm.
A woman made entirely of cracked porcelain and blooming flowers sits at a weathered wooden table in the middle of a vast, tranquil desert at sunset. A flock of glowing, ethereal jellyfish float gracefully through the air around her.
A bustling Victorian-era street market under a hazy, amber sky. Intricate brass airships and ornithopters clutter the air above. People in corsets, top hats, and goggles browse stalls selling bizarre clockwork gadgets and bubbling potions. Steam rises from grates in the cobblestone streets.
A close-up portrait of a charismatic cyberpunk hacker. Their face is half-lit by the glow of a holographic interface, revealing intricate neural implants around one eye. They have a sharp, knowing smirk, and their dark jacket features subtle glowing accents. Rain streaks down a window in the blurred background.
A lone wanderer, silhouette against a crimson sunset, stands on a rusted highway overlooking a vast, sand-swept desert filled with skeletal remains of skyscrapers. A modified, armored vehicle, spewing black smoke, is parked behind them. Vultures circle ominously in the distance.
A lone fisherman in a small rowboat on a perfectly still, black ocean under a sickly green moon. In the depths below, the immense, shadowy silhouette of a tentacled cosmic horror is faintly visible, its glowing, multitude of eyes staring up from the abyss.
A cozy rooftop garden in Paris under the warm glow of lights at night overlook
Related Models
README
Bria Fibo — Text-to-Image
Bria’s Fibo is a fast, SOTA Open source model trained on licensed data. It supports prompt + negative prompt, structured prompts (for consistent layouts/brand objects), controllable aspect ratios, and seed reproducibility—great for ads, social posts, product shots, and concept art.
✨ Highlights
- Strong composition control — prompt + negative prompt + structured prompt.
- Production-ready outputs — crisp details and balanced lighting across common aspect ratios.
- Deterministic renders — set a seed to reproduce the same image; change the seed to explore variants.
- Creator workflow fit — square 1:1 by default; export-friendly for design tools.
🧩 Parameters
-
prompt* (string, required) Your text description of the scene/subject, camera, lighting, style, colors, etc.
-
aspect_ratio (dropdown) Output canvas proportion. The panel shows 1:1; common options typically include 1:1, 16:9, 9:16, 4:5, 3:2 (availability may vary).
-
negative_prompt (string, optional) What to avoid (e.g., “blurry, extra fingers, watermark, text artifacts, distorted face”).
-
structured_prompt (string/JSON, optional) For schema-style guidance such as object lists, layout slots, or color constraints. Example idea: {"subject":"red running shoes","background":"studio white","key_light":"soft"}
-
seed (integer, optional) Fixes randomness. Same prompt + params + seed → same image. Leave blank to randomize.
Fields marked with * are required.
🚀 How to Use
-
Write the prompt (required). Be clear about subject, setting, lighting, and style. Example: “A cozy rooftop garden in Paris at night, warm string lights, shallow depth of field, cinematic glow.”
-
Choose aspect_ratio.
- Social square → 1:1
- Landscape/YouTube banner → 16:9
- Portrait/Reels → 9:16
-
(Optional) Add a negative_prompt. Steer the output away from unwanted traits. Example: “low-res, blurry, text, watermark, extra fingers, distorted proportions.”
-
(Optional) Use structured_prompt. Provide a compact schema to lock composition or brand elements. Great for repeatable shots.
-
(Optional) Set seed. Use a fixed number to reproduce a result; refresh to explore variants.
-
Run to generate your image. If you like the composition but want alternatives, keep all settings the same and only change the seed.
Price
- $0.04 per image.
Notes
- Omit seed to randomize.
- structured_prompt may be sent as a JSON string or object depending on your client—keep it compact and valid.
🧠 Prompting Tips
- Pair a clear subject with lighting and camera cues: “soft studio key light,” “35mm lens,” “golden hour backlight.”
- Use negative prompts early to block common artifacts (e.g., “text, watermark, extra limbs”).
- For consistent campaigns, keep a fixed seed + structured prompt and only tweak small attributes (color, pose, prop).
Fibo API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/bria/image-3.2 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Fibo below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/bria/image-3.2" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"negative_prompt": "blurry, low quality, distorted",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("bria/fibo", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"negative_prompt": "blurry, low quality, distorted",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"bria/fibo",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"aspect_ratio": "1:1",
"negative_prompt": "blurry, low quality, distorted",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputFibo API — Frequently asked questions
What is the Fibo API?
Fibo is a Bria model for image generation, exposed as a REST API on WaveSpeedAI. FIBO is an open-source JSON-native text-to-image model that maps intent to structured controls for precise enterprise image generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
How do I call the Fibo API?
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/bria/bria-fibo.
How much does Fibo cost per run?
Fibo starts at $0.040 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
What inputs does Fibo accept?
Key inputs: `prompt`, `aspect_ratio`, `seed`, `negative_prompt`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/bria/bria-fibo.
How do I get started with the Fibo API?
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Can I use Fibo outputs commercially?
Commercial usage rights depend on the model's license, set by its provider (Bria). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.