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IonDen/README.md

Open source libraries for MLX and Apple Silicon

Hi, I'm Denis ๐Ÿ‘‹

I write open source libraries for MLX, Apple's machine learning framework for Apple Silicon. I'd like my Mac to run and inspect real models without renting a GPU in some datacenter, so I build the small tools that make that possible and put them on PyPI.

Most of them do unglamorous things. One previews an image while it is still generating instead of making you wait for the final pixels. One lets FLUX skip work it has already done. One checks a model repo for problems before they take your load down with them. One measures what quantization quietly costs you in quality. Niche stuff, all of it. These were just the walls I kept walking into.

Every one started as a script I got tired of copy-pasting between projects. That is usually how it goes.

If any of it saves you an afternoon:

Pinned Loading

  1. mlx-taef mlx-taef Public

    Tiny AutoEncoders (TAESD family) for diffusion latents on Apple Silicon โ€” pure MLX. Live previews + low-memory decode for FLUX.1, FLUX.2 Klein, SD1.x, SDXL.

    Python 9 2

  2. mlx-teacache mlx-teacache Public

    TeaCache step-skipping for FLUX, Qwen-Image & Z-Image diffusion on Apple Silicon, in pure MLX

    Python 3

  3. mlx-model-doctor mlx-model-doctor Public

    Validate an MLX / Hugging Face model repository before you load it.

    Python 2 1

  4. mlx-quant-fidelity mlx-quant-fidelity Public

    Measure MLX quantization quality loss โ€” KL divergence, perplexity, top-token agreement for KV cache and weights

    Python 1

  5. ion.rangeSlider ion.rangeSlider Public

    jQuery only range slider

    JavaScript 2.6k 491