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Fibo Lite Text to Image

bria/fibo-lite/generate
Fibo Lite, the new addition to the Fibo model family, allows generating high-quality images with the same controllability of the JSON structured prompt with significantly improved latency.
Inference
Commercial use
Partner
Schema
LLMs
PlaygroundAPIExamples

Input

Drag & drop an image, paste from clipboard, or click the image area to upload

Structured Prompt will be populated from your instructions or uploaded assets, giving you predictable, repeatable control without any guesswork.

Additional Settings

Customize your input with more control.

Result

Idle

Waiting for your input...

What would you like to do next?

Your request will cost $0.036 per image.

Logs

Overview

Fibo Lite, the new addition to the Fibo model family, allows generating high-quality images with the same controllability of the JSON structured prompt, while using significantly fewer inference steps, resulting in significantly improved latency.

This is a two-stage distilled model for the FIBO text-to-image model, combining:

  1. CFG Distillation: First, we distill classifier-free guidance into the model, enabling inference with Guidance Scale = 1.0 (skipping the negative prompt pass).
  2. SCFM (Shortcutting Flow Matching): On top of the CFG-distilled merged model, we apply velocity field self-distillation to enable efficient few-step sampling.
🔑 Key Benefits
  • Two-Stage Distillation: Combines CFG distillation with SCFM for maximum efficiency—the SCFM was trained on top of the already CFG-distilled merged model.
  • Few-Step Generation: SCFM enables efficient sampling in significantly fewer inference steps.
  • No CFG Overhead: Running at guidance_scale=1 means calculating the noise prediction only once per step instead of twice.
  • Quality Tradeoff: As a distillation approach, there is a slight quality degradation compared to the full model at CFG=5, but the speed gains make it ideal for rapid iteration and production workflows.
  • Drop-in Replacement: Works seamlessly with existing FIBO workflows—just set guidance_scale=1.0.
  • Memory Efficient: Minimal additional GPU memory overhead.