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Remove Apple silicon section

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Armando C. Santisbon 2022-09-12 21:52:23 -05:00
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README-Docker.md
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@ -8,9 +8,6 @@ Table of Contents
* [Why containers?](#why-containers) * [Why containers?](#why-containers)
* [Prerequisites](#prerequisites) * [Prerequisites](#prerequisites)
* [Setup](#setup) * [Setup](#setup)
* [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
* [Prerequisites](#prerequisites-1)
* [Setup](#setup-1)
* [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun) * [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun)
* [Startup](#startup) * [Startup](#startup)
* [Text to Image](#text-to-image) * [Text to Image](#text-to-image)
@ -91,72 +88,6 @@ santisbon/stable-diffusion
``` ```
Tip: Make sure you've created the Docker volume (above) Tip: Make sure you've created the Docker volume (above)
## Option B - Directly on Apple silicon
For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
### Prerequisites
Install the latest versions of macOS, [Homebrew](https://brew.sh/), [Python](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#python), and [Git](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#git).
```Shell
brew install cmake protobuf rust
brew install --cask miniconda
conda init zsh && source ~/.zshrc # or bash and .bashrc
```
### Setup
Set the fork you want to use.
```Shell
GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
git clone $GITHUB_STABLE_DIFFUSION
cd stable-diffusion
mkdir -p models/ldm/stable-diffusion-v1/
```
When the pip3 path exists, it will ```w```ipe.
The subdir env variable restricts conda to only use ARM packages while creating the env (M1/M2 is ARM-based). You could also ```conda install nomkl``` but setting the environment appropriately is cleaner.
```conda config``` will write to the active environment's (```ldm```) configuration file and set ```subdir``` to the desired value permanently.
```Shell
PATH_TO_CKPT="$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
PIP_EXISTS_ACTION="w"
CONDA_SUBDIR="osx-arm64"
conda env create -f environment-mac.yaml && conda activate ldm
conda config --env --set subdir "osx-arm64"
```
You can verify you're in the virtual environment by looking at which executable you're getting:
```Shell
type python3
```
**Face Restoration and Upscaling**
By default this repo is expected in a directory at the same level as stable-diffusion.
We'll need ```basicsr``` for training and inference and ```facexlib```, a face detection / face restoration helper.
Also ```realesrgan``` to enhance the background (non-face) regions and do upscaling.
Lastly, we'll get a pre-trained model needed for face restoration.
```Shell
cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
pip3 install basicsr facexlib \
&& pip3 install -r requirements.txt
python3 setup.py develop
pip3 install realesrgan
wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
cd ../stable-diffusion
```
Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```. Used by the core functionality and by GFPGAN/Real-ESRGAN.
```Shell
python3 scripts/preload_models.py
```
# Step 3 - Usage (time to have fun) # Step 3 - Usage (time to have fun)