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put manual instructions above WSL, clarify they work for windows and linux

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AUTOMATIC 2022-09-10 00:31:58 +03:00
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@ -173,75 +173,53 @@ After running once, a `ui-config.json` file appears in webui directory:
Edit values to your liking and the next time you launch the program they will be applied. Edit values to your liking and the next time you launch the program they will be applied.
### Windows 11 WSL2 instructions ### Manual installation
Alternatively, here are instructions for installing under Windows 11 WSL2 Linux distro, everything by hand: Alternatively, if you don't want to run webui.bat, here are instructions for installing
everything by hand. This can run on both Windows and Linux (if you're on linux, use `ls`
instead of `dir`).
```bash ```bash
# install conda (if not already done) # install torch with CUDA support. See https://pytorch.org/get-started/locally/ for more instructions if this fails.
wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
chmod +x Anaconda3-2022.05-Linux-x86_64.sh
./Anaconda3-2022.05-Linux-x86_64.sh
# Clone webui repo
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
# Create and activate conda env
conda env create -f environment-wsl2.yaml
conda activate automatic
# (optional) install requirements for GFPGAN (upscaling)
wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
```
After that follow the instructions in the `Manual instructions` section starting at step `:: clone repositories for Stable Diffusion and (optionally) CodeFormer`.
### Manual instructions
Alternatively, if you don't want to run webui.bat, here are instructions for installing
everything by hand:
```commandline
:: install torch with CUDA support. See https://pytorch.org/get-started/locally/ for more instructions if this fails.
pip install torch --extra-index-url https://download.pytorch.org/whl/cu113 pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
:: check if torch supports GPU; this must output "True". You need CUDA 11. installed for this. You might be able to use # check if torch supports GPU; this must output "True". You need CUDA 11. installed for this. You might be able to use
:: a different version, but this is what I tested. # a different version, but this is what I tested.
python -c "import torch; print(torch.cuda.is_available())" python -c "import torch; print(torch.cuda.is_available())"
:: clone web ui and go into its directory # clone web ui and go into its directory
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui cd stable-diffusion-webui
:: clone repositories for Stable Diffusion and (optionally) CodeFormer # clone repositories for Stable Diffusion and (optionally) CodeFormer
mkdir repositories mkdir repositories
git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion
git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers
git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer
:: install requirements of Stable Diffusion # install requirements of Stable Diffusion
pip install transformers==4.19.2 diffusers invisible-watermark --prefer-binary pip install transformers==4.19.2 diffusers invisible-watermark --prefer-binary
:: install k-diffusion # install k-diffusion
pip install git+https://github.com/crowsonkb/k-diffusion.git --prefer-binary pip install git+https://github.com/crowsonkb/k-diffusion.git --prefer-binary
:: (optional) install GFPGAN (face resoration) # (optional) install GFPGAN (face resoration)
pip install git+https://github.com/TencentARC/GFPGAN.git --prefer-binary pip install git+https://github.com/TencentARC/GFPGAN.git --prefer-binary
:: (optional) install requirements for CodeFormer (face resoration) # (optional) install requirements for CodeFormer (face resoration)
pip install -r repositories/CodeFormer/requirements.txt --prefer-binary pip install -r repositories/CodeFormer/requirements.txt --prefer-binary
:: install requirements of web ui # install requirements of web ui
pip install -r requirements.txt --prefer-binary pip install -r requirements.txt --prefer-binary
:: update numpy to latest version # update numpy to latest version
pip install -U numpy --prefer-binary pip install -U numpy --prefer-binary
:: (outside of command line) put stable diffusion model into web ui directory # (outside of command line) put stable diffusion model into web ui directory
:: the command below must output something like: 1 File(s) 4,265,380,512 bytes # the command below must output something like: 1 File(s) 4,265,380,512 bytes
dir model.ckpt dir model.ckpt
:: (outside of command line) put the GFPGAN model into web ui directory # (outside of command line) put the GFPGAN model into web ui directory
:: the command below must output something like: 1 File(s) 348,632,874 bytes # the command below must output something like: 1 File(s) 348,632,874 bytes
dir GFPGANv1.3.pth dir GFPGANv1.3.pth
``` ```
@ -272,6 +250,30 @@ Running on local URL: http://127.0.0.1:7860/
Open the URL in browser, and you are good to go. Open the URL in browser, and you are good to go.
### Windows 11 WSL2 instructions
Alternatively, here are instructions for installing under Windows 11 WSL2 Linux distro, everything by hand:
```bash
# install conda (if not already done)
wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
chmod +x Anaconda3-2022.05-Linux-x86_64.sh
./Anaconda3-2022.05-Linux-x86_64.sh
# Clone webui repo
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
# Create and activate conda env
conda env create -f environment-wsl2.yaml
conda activate automatic
# (optional) install requirements for GFPGAN (upscaling)
wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
```
After that follow the instructions in the `Manual instructions` section starting at step `:: clone repositories for Stable Diffusion and (optionally) CodeFormer`.
## Credits ## Credits
- Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers - Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
- k-diffusion - https://github.com/crowsonkb/k-diffusion.git - k-diffusion - https://github.com/crowsonkb/k-diffusion.git