#!/bin/bash -i # This file is part of sygil-webui (https://github.com/Sygil-Dev/sygil-webui/). # Copyright 2022 Sygil-Dev 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 . # Start the Stable Diffusion WebUI for Linux Users DIRECTORY="." ENV_FILE="environment.yaml" ENV_NAME="ldm" ENV_MODIFIED=$(date -r $ENV_FILE "+%s") ENV_MODIFED_FILE=".env_updated" ENV_UPDATED=0 INSTALL_ENV_DIR="$(pwd)/../installer_files/env" # since linux-sd.sh clones the repo into a subfolder if [ -e "$INSTALL_ENV_DIR" ]; then export PATH="$INSTALL_ENV_DIR/bin:$PATH"; fi # 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" SD_CONCEPT_REPO="https://github.com/Sygil-Dev/sd-concepts-library/archive/refs/heads/main.zip" if [[ -f $ENV_MODIFED_FILE ]]; then ENV_MODIFIED_CACHED=$(<${ENV_MODIFED_FILE}) else ENV_MODIFIED_CACHED=0 fi # Setup the Conda env for the project. This will also handle updating the env as needed too. conda_env_setup () { # Set conda path if it is not already in default environment CUSTOM_CONDA_PATH= # Allow setting custom path via file to allow updates of this script without undoing custom path if [ -f custom-conda-path.txt ]; then CUSTOM_CONDA_PATH=$(cat custom-conda-path.txt) fi # If a custom conda isn't specified, and the installer downloaded conda for the user, then use that if [ -f "$INSTALL_ENV_DIR/etc/profile.d/conda.sh" ] && [ "$CUSTOM_CONDA_PATH" == "" ]; then . "$INSTALL_ENV_DIR/etc/profile.d/conda.sh" fi # If custom path is set above, try to setup conda environment if [ -f "${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:$PATH" fi if ! command -v conda >/dev/null; then printf "Anaconda3 not found. Install from here https://www.anaconda.com/products/distribution\n" exit 1 fi # Create/update conda env if needed if ! conda env list | grep ".*${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 # Clear artifacts from conda after create/update if (( $ENV_UPDATED > 0 )); then conda clean --all echo -n $ENV_MODIFIED > $ENV_MODIFED_FILE fi } # Activate conda environment conda_env_activation () { conda activate $ENV_NAME conda info | grep active } # Checks to see if the upscaling models exist in their correct locations. If they do not they will be downloaded as required post_processor_model_loading () { # Check to see if GFPGAN has been added yet, if not it will download it and place it in the proper directory if [ -f "$DIRECTORY/models/gfpgan/GFPGANv1.3.pth" ]; then printf "GFPGAN already exists. Continuing...\n\n" else printf "Downloading GFPGAN model. Please wait...\n" wget $GFPGAN_MODEL -P $DIRECTORY/models/gfpgan fi # Check to see if realESRGAN has been added yet, if not it will download it and place it in the proper directory if [ -f "$DIRECTORY/models/realesrgan/RealESRGAN_x4plus.pth" ]; then printf "realESRGAN already exists. Continuing...\n\n" else printf "Downloading realESRGAN model. Please wait...\n" wget $REALESRGAN_MODEL -P $DIRECTORY/models/realesrgan wget $REALESRGAN_ANIME_MODEL -P $DIRECTORY/models/realesrgan fi # Check to see if LDSR has been added yet, if not it will be cloned and its models downloaded to the correct directory if [ -f "$DIRECTORY/models/ldsr/model.ckpt" ]; then printf "LDSR already exists. Continuing...\n\n" else printf "Cloning LDSR and downloading model. Please wait...\n" git clone $LATENT_DIFFUSION_REPO 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 $DIRECTORY/models/ldsr/model.ckpt fi # Check to see if SD Concepts has been added yet, if not it will download it and place it in the proper directory if [ -d "$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 $DIRECTORY/models/custom fi } # Show the user a prompt asking them which version of the WebUI they wish to use, Streamlit or Gradio launch_webui () { # skip the prompt if --bridge command-line argument is detected for arg in "$@"; do if [ "$arg" == "--bridge" ]; then python -u scripts/relauncher.py "$@" return fi done 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 \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 "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;; esac done } # Function to initialize the other functions start_initialization () { conda_env_setup sd_model_loading post_processor_model_loading conda_env_activation if [ ! -e "models/ldm/stable-diffusion-v1/*.ckpt" ]; then echo "Your model file does not exist! Streamlit will handle this automatically, however Gradio still requires this file be placed manually. If you intend to use the Gradio interface, place it in 'models/ldm/stable-diffusion-v1' with the name 'model.ckpt'." read -p "Once you have sd-v1-4.ckpt in the project root, if you are going to use Gradio, Press Enter...\n\n" fi launch_webui "$@" } start_initialization "$@"