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#!/bin/bash -i
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# This file is part of stable-diffusion-webui (https://github.com/sd-webui/stable-diffusion-webui/).
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# Copyright 2022 sd-webui team.
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# Start the Stable Diffusion WebUI for Linux Users
DIRECTORY = "."
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ENV_FILE = "environment.yaml"
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ENV_NAME = "ldm"
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ENV_MODIFIED = $( date -r $ENV_FILE "+%s" )
ENV_MODIFED_FILE = ".env_updated"
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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"
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SD_CONCEPT_REPO = "https://github.com/sd-webui/sd-concepts-library/archive/refs/heads/main.zip"
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if [ [ -f $ENV_MODIFED_FILE ] ] ; then
ENV_MODIFIED_CACHED = $( <${ ENV_MODIFED_FILE } )
else
ENV_MODIFIED_CACHED = 0
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 ( ) {
# Set conda path if it is not already in default environment
CUSTOM_CONDA_PATH =
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# Allow setting custom path via file to allow updates of this script without undoing custom path
if [ -f custom-conda-path.txt ] ; then
CUSTOM_CONDA_PATH = $( cat custom-conda-path.txt)
fi
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# If custom path is set above, try to setup conda environment
if [ -f " ${ CUSTOM_CONDA_PATH } /etc/profile.d/conda.sh " ] ; then
. " ${ CUSTOM_CONDA_PATH } /etc/profile.d/conda.sh "
elif [ -n " ${ CUSTOM_CONDA_PATH } " ] && [ -f " ${ CUSTOM_CONDA_PATH } /bin " ] ; then
export PATH = " ${ CUSTOM_CONDA_PATH } /bin: $PATH "
fi
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if ! command -v conda >/dev/null; then
printf "Anaconda3 not found. Install from here https://www.anaconda.com/products/distribution\n"
exit 1
fi
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# Create/update conda env if needed
if ! conda env list | grep " .* ${ ENV_NAME } .* " >/dev/null 2>& 1; then
printf " Could not find conda env: ${ ENV_NAME } ... creating ... \n\n "
conda env create -f $ENV_FILE
ENV_UPDATED = 1
elif [ [ ! -z $CONDA_FORCE_UPDATE && $CONDA_FORCE_UPDATE = = "true" ] ] || ( ( $ENV_MODIFIED > $ENV_MODIFIED_CACHED ) ) ; then
printf " Updating conda env: ${ ENV_NAME } ...\n\n "
PIP_EXISTS_ACTION = w conda env update --file $ENV_FILE --prune
ENV_UPDATED = 1
fi
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# Clear artifacts from conda after create/update
if ( ( $ENV_UPDATED > 0 ) ) ; then
conda clean --all
echo -n $ENV_MODIFIED > $ENV_MODIFED_FILE
fi
}
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# Activate conda environment
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conda_env_activation ( ) {
conda activate $ENV_NAME
conda info | grep active
}
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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 ( ) {
if [ -f " $DIRECTORY /models/ldm/stable-diffusion-v1/model.ckpt " ] ; then
printf "AI Model already in place. Continuing...\n\n"
else
printf "\n\n########## MOVE MODEL FILE ##########\n\n"
printf "Please download the 1.4 AI Model from Huggingface (or another source) and place it inside of the stable-diffusion-webui folder\n\n"
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read -p "Once you have sd-v1-4.ckpt in the project root, Press Enter...\n\n"
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# Check to make sure checksum of models is the original one from HuggingFace and not a fake model set
printf "fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556 sd-v1-4.ckpt" | sha256sum --check || exit 1
mv sd-v1-4.ckpt $DIRECTORY /models/ldm/stable-diffusion-v1/model.ckpt
rm -r ./Models
fi
}
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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 ( ) {
# 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 /models/gfpgan/GFPGANv1.3.pth " ] ; then
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printf "GFPGAN already exists. Continuing...\n\n"
else
printf "Downloading GFPGAN model. Please wait...\n"
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wget $GFPGAN_MODEL -P $DIRECTORY /models/gfpgan
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fi
# 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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if [ -f " $DIRECTORY /models/realesrgan/RealESRGAN_x4plus.pth " ] ; then
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printf "realESRGAN already exists. Continuing...\n\n"
else
printf "Downloading realESRGAN model. Please wait...\n"
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wget $REALESRGAN_MODEL -P $DIRECTORY /models/realesrgan
wget $REALESRGAN_ANIME_MODEL -P $DIRECTORY /models/realesrgan
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fi
# 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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if [ -f " $DIRECTORY /models/ldsr/model.ckpt " ] ; then
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printf "LDSR already exists. Continuing...\n\n"
else
printf "Cloning LDSR and downloading model. Please wait...\n"
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git clone $LATENT_DIFFUSION_REPO
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mv latent-diffusion $DIRECTORY /models/ldsr
mkdir $DIRECTORY /models/ldsr/experiments
mkdir $DIRECTORY /models/ldsr
wget $LSDR_CONFIG -P $DIRECTORY /models/ldsr
mv $DIRECTORY /models/ldsr/index.html?dl= 1 $DIRECTORY /models/ldsr/project.yaml
wget $LSDR_MODEL -P $DIRECTORY /models/ldsr
mv $DIRECTORY /models/ldsr/index.html?dl= 1 $DIRECTORY /models/ldsr/model.ckpt
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fi
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# Check to see if SD Concepts has been added yet, if not it will download it and place it in the proper directory
if [ -d " $DIRECTORY /models/custom/sd-concepts-library " ] ; then
printf "SD Concepts Library already exists. Continuing...\n\n"
else
printf "Downloading and Extracting SD Concepts Library model. Please wait...\n"
mkdir $DIRECTORY /models/custom
wget $SD_CONCEPT_REPO
if ! command -v unzip & > /dev/null
then
printf "Warning: unzip could not be found. \nPlease install 'unzip' from your package manager and rerun this program.\n"
exit 1
fi
unzip main.zip
mv sd-concepts-library-main/sd-concepts-library $DIRECTORY /models/custom
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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# skip the prompt if --bridge command-line argument is detected
for arg in " $@ " ; do
if [ " $arg " = = "--bridge" ] ; then
python -u scripts/relauncher.py " $@ "
return
fi
done
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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"
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printf "Which Version of the WebUI Interface do you wish to use?\n"
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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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esac
done
}
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# Function to initialize the other functions
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start_initialization ( ) {
conda_env_setup
sd_model_loading
post_processor_model_loading
conda_env_activation
if [ ! -e "models/ldm/stable-diffusion-v1/model.ckpt" ] ; then
echo "Your model file does not exist! Place it in 'models/ldm/stable-diffusion-v1' with the name 'model.ckpt'."
exit 1
fi
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launch_webui " $@ "
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}
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start_initialization " $@ "