--- license: creativeml-openrail-m --- # Just a repo for sharing random CoreML & Stable Diffusion files & info.

October 04, 2023: This is my current miniconda environment for model conversions. It is working for SD-1.5 type models, including the ControlledUnet, both original and split-einsum-v1. It seems faster than the environments that I've run before. Converting ControlNets also works. I have not tried it with split-einsum-v2, or SDXL. It uses mostly the current versions of available packages, specifically: - macOS 14.1 - python==3.9 - coremltools==7.0 - diffusers==0.21.4 - python-coreml-stable-diffusion (pip -e . from a current git clone of ml-stable-diffusio 1.1+) - safetensors==0.3.3 - scikit-learn==1.1.2 - torch==2.0.0 - - - (torch==2.0.1 also seems ok) - torch2coreml.py from the current diffusers main repo The converted models work in both the standard Mochi Diffusion 4.2 and 4.3 and a version I built with Xcode 15 for macOS 14 using a git clone of the current Mochi Diffusion main branch.