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<b>FIBO is the first open-source, JSON-native text-to-image model trained exclusively on long structred captions.</b>
<br><br>
<i>Fibo sets a new standard for controllability, predictability, and disentanglement.</i>
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Fibo MLX 4-bit
This is an 4-bit quantization of FIBO made with mflux.
Run SOTA on Your Mac
This quantization brings the state-of-the-art capabilities of FIBO to your local machine. Thanks to the 4-bit quantization and FIBO's efficient architecture, you can now run this powerful 8-billion-parameter model directly on your Mac with excellent performance and reduced memory usage.
About the Project
FIBO
FIBO is an 8B parameter DiT-based, flow-matching text-to-image model designed for enterprise-ready applications. It focuses on:
- Controllability & Predictability: Exceptional prompt adherence using long, structured JSON captions.
- Responsible AI: Trained exclusively on licensed data.
- Architecture: Features SmolLM3-3B as the text encoder and Wan 2.2 as the VAE.
Mflux
Mflux is a powerful generation framework built on top of Apple's MLX. It enables efficient inference of diffusion models on Apple Silicon, unlocking the full potential of your Mac's hardware.
License & Access
The weights for the original FIBO model are open source for non-commercial use. Please refer to the original model card for access and license details.