mirror of
https://github.com/sd-webui/stable-diffusion-webui.git
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2215a3b403
# Description Please include: - [x] relevant motivation - [x] a summary of the change - [ ] which issue is fixed. - [x] any additional dependencies that are required for this change. Fixes a small typo of "Bridg" in horde_bridge.sh Makes webui.sh skip asking for StreamLit/Gradio if --bridge is passed More detailed error messages if bridgeData.py is missing/malformed (previously it would only say no bridgeData found, which caused confusion when bridgeData did exist but was incorrectly formatted) # Checklist: - [x] I have changed the base branch to `dev` - [x] I have performed a self-review of my own code - [x] I have commented my code in hard-to-understand areas - [ ] I have made corresponding changes to the documentation Co-authored-by: mechanopixel <takatarumc@gmail.com>
191 lines
8.5 KiB
Bash
Executable File
191 lines
8.5 KiB
Bash
Executable File
#!/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.
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU Affero General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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# Start the Stable Diffusion WebUI for Linux Users
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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")
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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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SD_CONCEPT_REPO="https://github.com/sd-webui/sd-concepts-library/archive/refs/heads/main.zip"
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if [[ -f $ENV_MODIFED_FILE ]]; then
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ENV_MODIFIED_CACHED=$(<${ENV_MODIFED_FILE})
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else
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ENV_MODIFIED_CACHED=0
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fi
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# Setup the Conda env for the project. This will also handle updating the env as needed too.
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conda_env_setup () {
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# Set conda path if it is not already in default environment
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CUSTOM_CONDA_PATH=
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# Allow setting custom path via file to allow updates of this script without undoing custom path
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if [ -f custom-conda-path.txt ]; then
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CUSTOM_CONDA_PATH=$(cat custom-conda-path.txt)
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fi
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# If custom path is set above, try to setup conda environment
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if [ -f "${CUSTOM_CONDA_PATH}/etc/profile.d/conda.sh" ]; then
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. "${CUSTOM_CONDA_PATH}/etc/profile.d/conda.sh"
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elif [ -n "${CUSTOM_CONDA_PATH}" ] && [ -f "${CUSTOM_CONDA_PATH}/bin" ]; then
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export PATH="${CUSTOM_CONDA_PATH}/bin:$PATH"
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fi
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if ! command -v conda >/dev/null; then
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printf "Anaconda3 not found. Install from here https://www.anaconda.com/products/distribution\n"
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exit 1
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fi
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# Create/update conda env if needed
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if ! conda env list | grep ".*${ENV_NAME}.*" >/dev/null 2>&1; then
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printf "Could not find conda env: ${ENV_NAME} ... creating ... \n\n"
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conda env create -f $ENV_FILE
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ENV_UPDATED=1
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elif [[ ! -z $CONDA_FORCE_UPDATE && $CONDA_FORCE_UPDATE == "true" ]] || (( $ENV_MODIFIED > $ENV_MODIFIED_CACHED )); then
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printf "Updating conda env: ${ENV_NAME} ...\n\n"
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PIP_EXISTS_ACTION=w conda env update --file $ENV_FILE --prune
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ENV_UPDATED=1
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fi
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# Clear artifacts from conda after create/update
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if (( $ENV_UPDATED > 0 )); then
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conda clean --all
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echo -n $ENV_MODIFIED > $ENV_MODIFED_FILE
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fi
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}
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# Activate conda environment
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conda_env_activation () {
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conda activate $ENV_NAME
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conda info | grep active
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}
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# Check to see if the SD model already exists, if not then it creates it and prompts the user to add the SD AI models to the repo directory
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sd_model_loading () {
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if [ -f "$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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printf "\n\n########## MOVE MODEL FILE ##########\n\n"
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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
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printf "fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556 sd-v1-4.ckpt" | sha256sum --check || exit 1
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mv sd-v1-4.ckpt $DIRECTORY/models/ldm/stable-diffusion-v1/model.ckpt
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rm -r ./Models
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fi
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}
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# Checks to see if the upscaling models exist in their correct locations. If they do not they will be downloaded as required
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post_processor_model_loading () {
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# Check to see if GFPGAN has been added yet, if not it will download it and place it in the proper directory
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if [ -f "$DIRECTORY/models/gfpgan/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 $GFPGAN_MODEL -P $DIRECTORY/models/gfpgan
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fi
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# Check to see if realESRGAN has been added yet, if not it will download it and place it in the proper directory
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if [ -f "$DIRECTORY/models/realesrgan/RealESRGAN_x4plus.pth" ]; then
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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 $REALESRGAN_MODEL -P $DIRECTORY/models/realesrgan
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wget $REALESRGAN_ANIME_MODEL -P $DIRECTORY/models/realesrgan
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fi
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# Check to see if LDSR has been added yet, if not it will be cloned and its models downloaded to the correct directory
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if [ -f "$DIRECTORY/models/ldsr/model.ckpt" ]; then
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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 $LATENT_DIFFUSION_REPO
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mv latent-diffusion $DIRECTORY/models/ldsr
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mkdir $DIRECTORY/models/ldsr/experiments
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mkdir $DIRECTORY/models/ldsr
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wget $LSDR_CONFIG -P $DIRECTORY/models/ldsr
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mv $DIRECTORY/models/ldsr/index.html?dl=1 $DIRECTORY/models/ldsr/project.yaml
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wget $LSDR_MODEL -P $DIRECTORY/models/ldsr
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mv $DIRECTORY/models/ldsr/index.html?dl=1 $DIRECTORY/models/ldsr/model.ckpt
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fi
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# Check to see if SD Concepts has been added yet, if not it will download it and place it in the proper directory
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if [ -d "$DIRECTORY/models/custom/sd-concepts-library" ]; then
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printf "SD Concepts Library already exists. Continuing...\n\n"
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else
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printf "Downloading and Extracting SD Concepts Library model. Please wait...\n"
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mkdir $DIRECTORY/models/custom
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wget $SD_CONCEPT_REPO
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if ! command -v unzip &> /dev/null
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then
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printf "Warning: unzip could not be found. \nPlease install 'unzip' from your package manager and rerun this program.\n"
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exit 1
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fi
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unzip main.zip
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mv sd-concepts-library-main/sd-concepts-library $DIRECTORY/models/custom
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fi
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}
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# Show the user a prompt asking them which version of the WebUI they wish to use, Streamlit or Gradio
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launch_webui () {
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# skip the prompt if --bridge command-line argument is detected
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for arg in "$@"; do
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if [ "$arg" == "--bridge" ]; then
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python -u scripts/relauncher.py "$@"
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return
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fi
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done
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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 "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
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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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post_processor_model_loading
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conda_env_activation
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if [ ! -e "models/ldm/stable-diffusion-v1/model.ckpt" ]; then
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echo "Your model file does not exist! Place it in 'models/ldm/stable-diffusion-v1' with the name 'model.ckpt'."
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exit 1
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fi
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launch_webui "$@"
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}
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start_initialization "$@" |