Merge pull request #1245 from JoshuaKimsey/Fix-linux-scripts

Improved `webui.sh`
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ZeroCool 2022-09-20 21:22:53 -07:00 committed by GitHub
commit 0356d9acce
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@ -3,17 +3,28 @@
# Start the Stable Diffusion WebUI for Linux Users
DIRECTORY="."
ENV_NAME="ldm"
ENV_FILE="environment.yaml"
ENV_UPDATED=0
ENV_NAME="ldm"
ENV_MODIFIED=$(date -r $ENV_FILE "+%s")
ENV_MODIFED_FILE=".env_updated"
ENV_UPDATED=0
# Models used for upscaling
GFPGAN_MODEL="https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth"
LATENT_DIFFUSION_REPO="https://github.com/devilismyfriend/latent-diffusion.git"
LSDR_CONFIG="https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1"
LSDR_MODEL="https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1"
REALESRGAN_MODEL="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth"
REALESRGAN_ANIME_MODEL="https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth"
if [[ -f $ENV_MODIFED_FILE ]]; then
ENV_MODIFIED_CACHED=$(<${ENV_MODIFED_FILE})
else
ENV_MODIFIED_CACHED=0
fi
# Setup the Conda env for the project. This will also handle updating the env as needed too.
conda_env_setup () {
# Set conda path if it is not already in default environment
CUSTOM_CONDA_PATH=
@ -53,14 +64,14 @@ conda_env_setup () {
fi
}
# Activate conda environment
conda_env_activation () {
# Activate conda environment
conda activate $ENV_NAME
conda info | grep active
}
# Check to see if the SD model already exists, if not then it creates it and prompts the user to add the SD AI models to the repo directory
sd_model_loading () {
# Check to see if the SD model already exists, if not then it creates it and prompts the user to add the SD AI models to the Models directory
if [ -f "$DIRECTORY/models/ldm/stable-diffusion-v1/model.ckpt" ]; then
printf "AI Model already in place. Continuing...\n\n"
else
@ -75,13 +86,14 @@ sd_model_loading () {
fi
}
# Checks to see if the upscaling models exist in their correct locations. If they do not they will be downloaded as required
post_processor_model_loading () {
# Check to see if GFPGAN has been added yet, if not it will download it and place it in the proper directory
if [ -f "$DIRECTORY/src/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth" ]; then
printf "GFPGAN already exists. Continuing...\n\n"
else
printf "Downloading GFPGAN model. Please wait...\n"
wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P $DIRECTORY/src/gfpgan/experiments/pretrained_models
wget $GFPGAN_MODEL -P $DIRECTORY/src/gfpgan/experiments/pretrained_models
fi
# Check to see if realESRGAN has been added yet, if not it will download it and place it in the proper directory
@ -89,8 +101,8 @@ post_processor_model_loading () {
printf "realESRGAN already exists. Continuing...\n\n"
else
printf "Downloading realESRGAN model. Please wait...\n"
wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
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
wget $REALESRGAN_MODEL -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
wget $REALESRGAN_ANIME_MODEL -P $DIRECTORY/src/realesrgan/experiments/pretrained_models
fi
# Check to see if LDSR has been added yet, if not it will be cloned and its models downloaded to the correct directory
@ -98,31 +110,33 @@ post_processor_model_loading () {
printf "LDSR already exists. Continuing...\n\n"
else
printf "Cloning LDSR and downloading model. Please wait...\n"
git clone https://github.com/devilismyfriend/latent-diffusion.git
git clone $LATENT_DIFFUSION_REPO
mv latent-diffusion $DIRECTORY/src/latent-diffusion
mkdir $DIRECTORY/src/latent-diffusion/experiments
mkdir $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
wget https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1 -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
wget $LSDR_CONFIG -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
mv $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/index.html?dl=1 $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/project.yaml
wget https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1 -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
wget $LSDR_MODEL -P $DIRECTORY/src/latent-diffusion/experiments/pretrained_models
mv $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/index.html?dl=1 $DIRECTORY/src/latent-diffusion/experiments/pretrained_models/model.ckpt
fi
}
# Show the user a prompt asking them which version of the WebUI they wish to use, Streamlit or Gradio
launch_webui () {
printf "\n\n########## LAUNCH USING GRADIO OR STREAMLIT? ##########\n\n"
printf "Do you wish to run the Stable Diffusion WebUI using the Gradio or StreamLit Interface?\n\n"
printf "Gradio: Currently Feature Complete, But Uses An Older Interface Style And Will Not Receive Major Updates\n"
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"
printf "\n\n########## LAUNCH USING STREAMLIT OR GRADIO? ##########\n\n"
printf "Do you wish to run the WebUI using the Gradio or StreamLit Interface?\n\n"
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"
printf "Gradio: \nCurrently Feature Complete \nUses An Older Interface Style \nWill Not Receive Major Updates\n\n"
printf "Which Version of the WebUI Interface do you wish to use?\n"
select yn in "Gradio" "StreamLit"; do
select yn in "Streamlit" "Gradio"; do
case $yn in
Streamlit ) printf "\nStarting Stable Diffusion WebUI: Streamlit Interface. Please Wait...\n"; python -m streamlit run scripts/webui_streamlit.py; break;;
Gradio ) printf "\nStarting Stable Diffusion WebUI: Gradio Interface. Please Wait...\n"; python scripts/relauncher.py; break;;
StreamLit ) printf "\nStarting Stable Diffusion WebUI: StreamLit Interface. Please Wait...\n"; python -m streamlit run scripts/webui_streamlit.py; break;;
esac
done
}
# Function to initialize the other functions
start_initialization () {
conda_env_setup
sd_model_loading