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Notes.txt
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Notes
name: ldm-macos
channels:
- pytorch
- defaults
- conda-forge
dependencies:
- python=3.8.5 --> =3.9
- pip=20.3
# cudatoolkit=11.3
- pytorch=1.11.0
- torchvision=0.12.0
- numpy=1.19.2
- pip:
- albumentations==0.4.3
- diffusers
- opencv-python==4.1.2.30 --> latest
- pudb==2019.2
- invisible-watermark --> error
- imageio==2.9.0 --> 2.27
- imageio-ffmpeg==0.4.2
- pytorch-lightning==1.4.2
- omegaconf==2.1.1
- test-tube>=0.7.5
- streamlit>=0.73.1
- einops==0.3.0
- torch-fidelity==0.3.0
- transformers==4.19.2
- torchmetrics==0.6.0
- kornia==0.6
- -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
- -e git+https://github.com/openai/CLIP.git@main#egg=clip
- -e .
Edits
Following the list in https://github.com/CompVis/stable-diffusion/issues/25#issuecomment-1221416526
- Set up the conda environment with the info above. I've run the env and it bulids ldm-as without issues
(surprising as I was getting failures before on the git pulls)
- Swapped most "cuda" device references for "mps". Some spots it looked like "cpu" was appropriate to leave, so I've done so for now.