filipstrand/mflux
MLX native implementations of state-of-the-art generative image models
Implements multiple state-of-the-art diffusion models (FLUX, Z-Image, FIBO, Qwen) as line-by-line MLX ports optimized for Apple Silicon, with quantization support and minimal, explicit code following Karpathy-style principles. Supports advanced capabilities including LoRA fine-tuning, in-context editing, ControlNet, inpainting, and upscaling across different model families. Integrates with Hugging Face model hub and tokenizers while maintaining a pure MLX backend for efficient local inference on macOS.
1,882 stars and 31,305 monthly downloads. Used by 3 other packages. Actively maintained with 17 commits in the last 30 days. Available on PyPI.
Stars
1,882
Forks
127
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Monthly downloads
31,305
Commits (30d)
17
Dependencies
22
Reverse dependents
3
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