CoreML Stable Diffusion

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

Our great sponsors
  • Sonar - Write Clean Python Code. Always.
  • InfluxDB - Build time-series-based applications quickly and at scale.
  • SaaSHub - Software Alternatives and Reviews
  • ml-stable-diffusion

    Stable Diffusion with Core ML on Apple Silicon

  • ivy

    The Unified Machine Learning Framework

    ROCm's great for data centers, but good luck finding anything about desktop GPUs on their site apart from this lone blog post: https://community.amd.com/t5/instinct-accelerators/exploring...

    There's a good explanation of AMD's ROCm targets here: https://news.ycombinator.com/item?id=28200477

    It's currently a PITA to get common Python libs like Numba to even talk to AMD cards (admittedly Numba won't talk to older Nvidia cards either and they deprecate ruthlessly; I had to downgrade 8 versions to get it working with a 5yo mobile workstation). YC-backed Ivy claims to be working on unifying ML frameworks in a hardware-agnostic way but I don't have enough experience to assess how well they're succeeding yet: https://lets-unify.ai

    I was happy to see DiffusionBee does talk the GPU in my late-model intel Mac, though for some reason it only uses 50% of its power right now. I'm sure the situation will improve as Metal 3.0 and Vulkan get more established.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts