Add config and instructions for WSL2 setup
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__pycache__
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/ESRGAN
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/repositories
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/venv
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/tmp
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/model.ckpt
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/GFPGANv1.3.pth
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/ui-config.json
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/outputs
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/config.json
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/log
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/webui.settings.bat
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/embeddings
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/latent_diffusion.egg-info
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README.md
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README.md
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@ -173,6 +173,76 @@ After running once, a `ui-config.json` file appears in webui directory:
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Edit values to your liking and the next time you launch the program they will be applied.
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### Windows WSL2 instructions
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Alternatively, here are instructions for installing under WSL2 on windows everything by hand:
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```bash
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mkdir automatic1111
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cd automatic1111
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conda env create -f environment.yaml
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conda activate automatic
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git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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cd stable-diffusion-webui
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# clone repositories for Stable Diffusion and (optionally) CodeFormer
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mkdir repositories
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git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion
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git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers
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git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer
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# install requirements of Stable Diffusion
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pip install transformers==4.19.2 diffusers invisible-watermark --prefer-binary
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# install k-diffusion
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pip install git+https://github.com/crowsonkb/k-diffusion.git --prefer-binary
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# (optional) install GFPGAN (face resoration)
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pip install git+https://github.com/TencentARC/GFPGAN.git --prefer-binary
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# (optional) install requirements for CodeFormer (face resoration)
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pip install -r repositories/CodeFormer/requirements.txt --prefer-binary
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# install requirements of web ui
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pip install -r ./requirements.txt --prefer-binary
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# update numpy to latest version
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pip install -U numpy --prefer-binary
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# (outside of command line) put stable diffusion model into web ui directory
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# the command below must output something like: 1 File(s) 4,265,380,512 bytes
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ls model.ckpt
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# (outside of command line) put the GFPGAN model into web ui directory
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# the command below must output something like: 1 File(s) 348,632,874 bytes
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ls GFPGANv1.3.pth
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```
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> Note: the directory structure for manual instruction has been changed on 2022-09-09 to match automatic installation: previosuly
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> webui was in a subdirectory of stable diffusion, now it's the reverse. If you followed manual installation before the
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> chage, you can still use the program with you existing directory sctructure.
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After that the installation is finished.
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Run the command to start web ui:
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```
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python webui.py
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```
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If you have a 4GB video card, run the command with either `--lowvram` or `--medvram` argument:
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```
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python webui.py --medvram
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```
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After a while, you will get a message like this:
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```
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Running on local URL: http://127.0.0.1:7860/
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```
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Open the URL in browser, and you are good to go.
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### Manual instructions
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Alternatively, if you don't want to run webui.bat, here are instructions for installing
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name: automatic
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channels:
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- pytorch
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- defaults
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dependencies:
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- python=3.8.5
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- pip=20.3
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- cudatoolkit=11.3
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- pytorch=1.11.0
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- torchvision=0.12.0
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- numpy=1.19.2
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