Instructions to use ml-resources/Fibo-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ml-resources/Fibo-mlx-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ml-resources/Fibo-mlx-4bit", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from ml-resources/Fibo-mlx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 4.08 kB
-
https://huggingface.co/ml-resources/Fibo-mlx-4bit/resolve/main/README.md
- Command line
-
hf download hf://ml-resources/Fibo-mlx-4bit/README.md
-
curl -L -o README.md https://huggingface.co/ml-resources/Fibo-mlx-4bit/resolve/main/README.md
4.08 kB
| license: cc-by-nc-4.0 | |
| language: | |
| - en | |
| base_model: | |
| - briaai/FIBO | |
| library_name: diffusers | |
| tags: | |
| - MLX | |
| > Mirror of [briaai/Fibo-mlx-4bit](https://huggingface.co/briaai/Fibo-mlx-4bit). All credit to Bria AI. Not an official release from them. License unchanged: [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/deed.en), non-commercial use only. Commercial use requires a separate agreement with Bria AI. | |
| <p align="center"> | |
| <img src="https://bria-public.s3.us-east-1.amazonaws.com/Bria-logo.svg" width="200"/> | |
| </p> | |
| <p align="center"> | |
| <!-- GitHub Repo --> | |
| <a href="https://github.com/Bria-AI/FIBO" target="_blank"> | |
| <img | |
| alt="GitHub Repo" | |
| src="https://img.shields.io/badge/GitHub-Repo-181717?logo=github&logoColor=white&style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| <!-- Hugging Face Demo --> | |
| <a href="https://huggingface.co/spaces/briaai/FIBO" target="_blank"> | |
| <img | |
| alt="Hugging Face Demo" | |
| src="https://img.shields.io/badge/Hugging%20Face-Demo-FFD21E?logo=huggingface&logoColor=black&style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| <!-- FIBO Demo on Bria (replace URL if you have a specific demo link) --> | |
| <a href="https://platform.bria.ai/labs/fibo" target="_blank"> | |
| <img | |
| alt="FIBO Demo on Bria" | |
| src="https://img.shields.io/badge/FIBO%20Demo-Bria-6C47FF?style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| <!-- Bria Platform --> | |
| <a href="https://platform.bria.ai" target="_blank"> | |
| <img | |
| alt="Bria Platform" | |
| src="https://img.shields.io/badge/Bria-Platform-0EA5E9?style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| <!-- Bria Discord --> | |
| <a href="https://discord.com/invite/Nxe9YW9zHS" target="_blank"> | |
| <img | |
| alt="Bria Discord" | |
| src="https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white&style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| <!-- Tech Paper --> | |
| <a href="https://arxiv.org/abs/2511.06876" target="_blank"> | |
| <img | |
| alt="Tech Paper" | |
| src="https://img.shields.io/badge/Tech%20Paper-lightgrey?logo=arxiv&logoColor=red&style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| <!-- Mflux --> | |
| <a href="https://github.com/filipstrand/mflux" target="_blank"> | |
| <img | |
| alt="Mflux" | |
| src="https://img.shields.io/badge/Mflux-Repo-blue?logo=github&logoColor=white&style=for-the-badge" | |
| /> | |
| </a> | |
| | |
| </p> | |
| <p align="center"> | |
| <img src="https://bria-public.s3.us-east-1.amazonaws.com/car.001.jpeg" width="1024"/> | |
| </p> | |
| <p align="center"> | |
| <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> | |
| </p> | |
| # Fibo MLX 4-bit | |
| This is an 4-bit quantization of [FIBO](https://huggingface.co/briaai/FIBO) made with [mflux](https://github.com/filipstrand/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](https://huggingface.co/briaai/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](https://github.com/filipstrand/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](https://huggingface.co/briaai/FIBO) for access and license details. |