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https://github.com/Sygil-Dev/sygil-webui.git
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101 lines
3.9 KiB
Bash
Executable File
101 lines
3.9 KiB
Bash
Executable File
#!/bin/bash
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#
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# Starts the webserver inside the docker container
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#
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# set -x
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SCRIPT_DIR=$( cd -- "$( dirname -- "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )
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cd $SCRIPT_DIR
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export PYTHONPATH=$SCRIPT_DIR
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MODEL_DIR="${SCRIPT_DIR}/model_cache"
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# Array of model files to pre-download
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# local filename
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# local path in container (no trailing slash)
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# download URL
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# sha256sum
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MODEL_FILES=(
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'model.ckpt models/ldm/stable-diffusion-v1 https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556'
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'GFPGANv1.3.pth src/gfpgan/experiments/pretrained_models https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth c953a88f2727c85c3d9ae72e2bd4846bbaf59fe6972ad94130e23e7017524a70'
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'RealESRGAN_x4plus.pth src/realesrgan/experiments/pretrained_models https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth 4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1'
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'RealESRGAN_x4plus_anime_6B.pth src/realesrgan/experiments/pretrained_models https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth f872d837d3c90ed2e05227bed711af5671a6fd1c9f7d7e91c911a61f155e99da'
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'project.yaml src/latent-diffusion/experiments/pretrained_models https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1 9d6ad53c5dafeb07200fb712db14b813b527edd262bc80ea136777bdb41be2ba'
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'model.ckpt src/latent-diffusion/experiments/pretrained_models https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1 c209caecac2f97b4bb8f4d726b70ac2ac9b35904b7fc99801e1f5e61f9210c13'
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)
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# Function to checks for valid hash for model files and download/replaces if invalid or does not exist
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validateDownloadModel() {
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local file=$1
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local path="${SCRIPT_DIR}/${2}"
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local url=$3
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local hash=$4
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echo "checking ${file}..."
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sha256sum --check --status <<< "${hash} ${MODEL_DIR}/${file}.${hash}"
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if [[ $? == "1" ]]; then
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echo "Downloading: ${url} please wait..."
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mkdir -p ${path}
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wget --output-document=${MODEL_DIR}/${file}.${hash} --no-verbose --show-progress --progress=dot:giga ${url}
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ln -sf ${MODEL_DIR}/${file}.${hash} ${path}/${file}
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if [[ -e "${path}/${file}" ]]; then
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echo "saved ${file}"
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else
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echo "error saving ${path}/${file}!"
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exit 1
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fi
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else
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if [[ ! -e ${path}/${file} || ! -L ${path}/${file} ]]; then
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mkdir -p ${path}
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ln -sf ${MODEL_DIR}/${file}.${hash} ${path}/${file}
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echo -e "linked valid ${file}\n"
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else
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echo -e "${file} is valid!\n"
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fi
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fi
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}
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# Validate model files
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if [ $VALIDATE_MODELS == "false" ]; then
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echo "Skipping model file validation..."
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else
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echo "Validating model files..."
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for models in "${MODEL_FILES[@]}"; do
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model=($models)
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if [[ ! -e ${model[1]}/${model[0]} || ! -L ${model[1]}/${model[0]} || -z $VALIDATE_MODELS || $VALIDATE_MODELS == "true" ]]; then
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validateDownloadModel ${model[0]} ${model[1]} ${model[2]} ${model[3]}
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fi
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done
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fi
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# Determine which webserver interface to launch (Streamlit vs Default: Gradio)
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if [[ ! -z $WEBUI_SCRIPT && $WEBUI_SCRIPT == "webui_streamlit.py" ]]; then
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launch_command="streamlit run scripts/${WEBUI_SCRIPT:-webui.py} $WEBUI_ARGS"
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else
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launch_command="python scripts/${WEBUI_SCRIPT:-webui.py} $WEBUI_ARGS"
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fi
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# Start webserver interface
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launch_message="Starting Stable Diffusion WebUI... ${launch_command}..."
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if [[ -z $WEBUI_RELAUNCH || $WEBUI_RELAUNCH == "true" ]]; then
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n=0
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while true; do
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echo $launch_message
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if (( $n > 0 )); then
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echo "Relaunch count: ${n}"
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fi
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$launch_command
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echo "entrypoint.sh: Process is ending. Relaunching in 0.5s..."
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((n++))
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sleep 0.5
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done
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else
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echo $launch_message
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$launch_command
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fi
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