Mirrored_Repos/InvokeAI
1
0
Fork 0
mirror of https://github.com/invoke-ai/InvokeAI synced 2024-08-30 20:32:17 +00:00
Code Issues Packages Projects Releases Wiki Activity

Added psychedelicious' changes

Browse Source
This commit is contained in:
James Reynolds 2022-09-02 08:29:28 -06:00
parent 1306457b27
commit 6ef7c1ad4e
1 changed files with 27 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

33
README-Mac-MPS.md
View File

@ -19,24 +19,45 @@ always break.
How to (this hasn't been 100% tested yet):
First [download the model](https://huggingface.co/CompVis/stable-diffusion).
First get the weights checkpoint download started - it's big:
Sign up at https://huggingface.co
Accept the terms and click Access Repository: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
Download sd-v1-4.ckpt (4.27 GB) and note where you have saved it (probably the Downloads folder)
While that is downloading, open Terminal and run the following commands one at a time.
```
brew install --cask miniconda
brew install Cmake protobuf rust
# install brew (and Xcode command line tools):
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
# install python 3, git, cmake, protobuf:
brew install cmake protobuf rust
# install miniconda (M1 arm64 version):
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o Miniconda3-latest-MacOSX-arm64.sh
/bin/bash Miniconda3-latest-MacOSX-arm64.sh
# clone the repo
git clone https://github.com/lstein/stable-diffusion.git
cd stable-diffusion
#
# wait until the checkpoint file has downloaded, then proceed
#
# create symlink to checkpoint
mkdir -p models/ldm/stable-diffusion-v1/
PATH_TO_CKPT="$HOME/Documents/stable-diffusion-v-1-4-original" # or wherever yours is.
PATH_TO_CKPT="$HOME/Downloads" # or wherever you saved sd-v1-4.ckpt
ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
export PIP_EXISTS_ACTION=w
CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
# install packages
PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
conda activate ldm
# only need to do this once
python scripts/preload_models.py
# run SD!
python scripts/dream.py --full_precision # half-precision requires autocast and won't work
```