Bria Fibo

Bria Fibo

Playground

SOTA Open source model trained on licensed data, transforming intent into structured control for precise, high-quality AI image generation in enterprise and agentic workflows.

Features

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

1. 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.”

2. Choose aspect_ratio.

   • Social square → 1:1
   • Landscape/YouTube banner → 16:9
   • Portrait/Reels → 9:16

3. (Optional) Add a negative_prompt. Steer the output away from unwanted traits. Example: “low-res, blurry, text, watermark, extra fingers, distorted proportions.”

4. (Optional) Use structured_prompt. Provide a compact schema to lock composition or brand elements. Great for repeatable shots.

5. (Optional) Set seed. Use a fixed number to reproduce a result; refresh to explore variants.

6. 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).

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/bria/image-3.2" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "aspect_ratio": "1:1",
    "structured_prompt": "",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"