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https://github.com/Sygil-Dev/sygil-webui.git
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Merge pull request #1245 from JoshuaKimsey/Fix-linux-scripts
Improved `webui.sh`
This commit is contained in:
ZeroCool
GitHub
commit
0356d9acce
46
webui.sh
46
webui.sh
@ -3,17 +3,28 @@
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# Start the Stable Diffusion WebUI for Linux Users
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DIRECTORY="."
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ENV_NAME="ldm"
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ENV_FILE="environment.yaml"
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ENV_UPDATED=0
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ENV_NAME="ldm"
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ENV_MODIFIED=$(date -r $ENV_FILE "+%s")
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ENV_MODIFED_FILE=".env_updated"
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ENV_UPDATED=0
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# Models used for upscaling
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GFPGAN_MODEL="https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth"
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LATENT_DIFFUSION_REPO="https://github.com/devilismyfriend/latent-diffusion.git"
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LSDR_CONFIG="https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
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LSDR_MODEL="https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
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REALESRGAN_MODEL="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth"
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REALESRGAN_ANIME_MODEL="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth"
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if [[ -f $ENV_MODIFED_FILE ]]; then
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ENV_MODIFIED_CACHED=$(<${ENV_MODIFED_FILE})
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else
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ENV_MODIFIED_CACHED=0
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fi
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# Setup the Conda env for the project. This will also handle updating the env as needed too.
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conda_env_setup () {
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# Set conda path if it is not already in default environment
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CUSTOM_CONDA_PATH=
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@ -53,14 +64,14 @@ conda_env_setup () {
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fi
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}
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conda_env_activation () {
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# Activate conda environment
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conda_env_activation () {
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conda activate $ENV_NAME
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conda info | grep active
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}
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# Check to see if the SD model already exists, if not then it creates it and prompts the user to add the SD AI models to the repo directory
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sd_model_loading () {
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# Check to see if the SD model already exists, if not then it creates it and prompts the user to add the SD AI models to the Models directory
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if [ -f "$DIRECTORY/models/ldm/stable-diffusion-v1/model.ckpt" ]; then
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printf "AI Model already in place. Continuing...\n\n"
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else
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@ -75,13 +86,14 @@ sd_model_loading () {
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fi
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}
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# Checks to see if the upscaling models exist in their correct locations. If they do not they will be downloaded as required
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post_processor_model_loading () {
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# Check to see if GFPGAN has been added yet, if not it will download it and place it in the proper directory
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if [ -f "$DIRECTORY/src/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth" ]; then
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printf "GFPGAN already exists. Continuing...\n\n"
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else
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printf "Downloading GFPGAN model. Please wait...\n"
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wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P $DIRECTORY/src/gfpgan/experiments/pretrained_models
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wget $GFPGAN_MODEL -P $DIRECTORY/src/gfpgan/experiments/pretrained_models
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fi
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# Check to see if realESRGAN has been added yet, if not it will download it and place it in the proper directory
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@ -89,8 +101,8 @@ post_processor_model_loading () {
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printf "realESRGAN already exists. Continuing...\n\n"
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else
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printf "Downloading realESRGAN model. Please wait...\n"
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wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
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wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
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wget $REALESRGAN_MODEL -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
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wget $REALESRGAN_ANIME_MODEL -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
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fi
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# Check to see if LDSR has been added yet, if not it will be cloned and its models downloaded to the correct directory
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@ -98,31 +110,33 @@ post_processor_model_loading () {
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printf "LDSR already exists. Continuing...\n\n"
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else
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printf "Cloning LDSR and downloading model. Please wait...\n"
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git clone https://github.com/devilismyfriend/latent-diffusion.git
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git clone $LATENT_DIFFUSION_REPO
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mv latent-diffusion $DIRECTORY/src/latent-diffusion
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mkdir $DIRECTORY/src/latent-diffusion/experiments
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mkdir $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
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wget https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1 -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
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wget $LSDR_CONFIG -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
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mv $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/index.html?dl=1 $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/project.yaml
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wget https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1 -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
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wget $LSDR_MODEL -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
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mv $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/index.html?dl=1 $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/model.ckpt
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fi
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}
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# Show the user a prompt asking them which version of the WebUI they wish to use, Streamlit or Gradio
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launch_webui () {
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printf "\n\n########## LAUNCH USING GRADIO OR STREAMLIT? ##########\n\n"
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printf "Do you wish to run the Stable Diffusion WebUI using the Gradio or StreamLit Interface?\n\n"
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printf "Gradio: Currently Feature Complete, But Uses An Older Interface Style And Will Not Receive Major Updates\n"
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printf "StreamLit: Has A More Modern UI With More Features To Be Added And Will Be The Main UI Going Forward, But Currently In Active Development And Missing Some Gradio Features\n\n"
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printf "\n\n########## LAUNCH USING STREAMLIT OR GRADIO? ##########\n\n"
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printf "Do you wish to run the WebUI using the Gradio or StreamLit Interface?\n\n"
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printf "Streamlit: \nHas A More Modern UI \nMore Features Planned \nWill Be The Main UI Going Forward \nCurrently In Active Development \nMissing Some Gradio Features\n\n"
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printf "Gradio: \nCurrently Feature Complete \nUses An Older Interface Style \nWill Not Receive Major Updates\n\n"
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printf "Which Version of the WebUI Interface do you wish to use?\n"
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select yn in "Gradio" "StreamLit"; do
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select yn in "Streamlit" "Gradio"; do
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case $yn in
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Streamlit ) printf "\nStarting Stable Diffusion WebUI: Streamlit Interface. Please Wait...\n"; python -m streamlit run scripts/webui_streamlit.py; break;;
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Gradio ) printf "\nStarting Stable Diffusion WebUI: Gradio Interface. Please Wait...\n"; python scripts/relauncher.py; break;;
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StreamLit ) printf "\nStarting Stable Diffusion WebUI: StreamLit Interface. Please Wait...\n"; python -m streamlit run scripts/webui_streamlit.py; break;;
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esac
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done
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}
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# Function to initialize the other functions
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start_initialization () {
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conda_env_setup
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sd_model_loading
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