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