mirror of
https://github.com/sd-webui/stable-diffusion-webui.git
synced 2024-12-13 18:02:31 +03:00
136 lines
7.1 KiB
Bash
Executable File
136 lines
7.1 KiB
Bash
Executable File
#!/bin/bash
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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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#
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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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if [[ $PUBLIC_KEY ]]
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then
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mkdir -p ~/.ssh
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chmod 700 ~/.ssh
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cd ~/.ssh
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echo $PUBLIC_KEY >> authorized_keys
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chmod 700 -R ~/.ssh
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cd /
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service ssh start
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echo "SSH Service Started"
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fi
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MODEL_DIR="${SCRIPT_DIR}/user_data/model_cache"
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mkdir -p $MODEL_DIR
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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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'waifu-diffusion.ckpt models/custom https://huggingface.co/crumb/pruned-waifu-diffusion/resolve/main/model-pruned.ckpt 9b31355f90fea9933847175d4731a033f49f861395addc7e153f480551a24c25'
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'trinart.ckpt models/custom https://huggingface.co/naclbit/trinart_stable_diffusion_v2/resolve/main/trinart2_step95000.ckpt c1799d22a355ba25c9ceeb6e3c91fc61788c8e274b73508ae8a15877c5dbcf63'
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'model__base_caption.pth models/blip https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model*_base_caption.pth 96ac8749bd0a568c274ebe302b3a3748ab9be614c737f3d8c529697139174086'
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'pytorch_model.bin models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/pytorch_model.bin f1a17cdbe0f36fec524f5cafb1c261ea3bbbc13e346e0f74fc9eb0460dedd0d3'
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'config.json models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/config.json 8a09b467700c58138c29d53c605b34ebc69beaadd13274a8a2af8ad2c2f4032a'
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'merges.txt models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/merges.txt 9fd691f7c8039210e0fced15865466c65820d09b63988b0174bfe25de299051a'
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'preprocessor_config.json models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/preprocessor_config.json 910e70b3956ac9879ebc90b22fb3bc8a75b6a0677814500101a4c072bd7857bd'
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'special_tokens_map.json models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/special_tokens_map.json f8c0d6c39aee3f8431078ef6646567b0aba7f2246e9c54b8b99d55c22b707cbf'
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'tokenizer.json models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/tokenizer.json a83e0809aa4c3af7208b2df632a7a69668c6d48775b3c3fe4e1b1199d1f8b8f4'
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'tokenizer_config.json models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/tokenizer_config.json deef455e52fa5e8151e339add0582e4235f066009601360999d3a9cda83b1129'
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'vocab.json models/clip-vit-large-patch14 https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/vocab.json 3f0c4f7d2086b61b38487075278ea9ed04edb53a03cbb045b86c27190fa8fb69'
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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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mkdir -p ${MODEL_DIR}/stable-diffusion-v1-4/tokenizer
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mkdir -p ${MODEL_DIR}/waifu-diffusion/tokenizer
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ln -fs ${SCRIPT_DIR}/models/clip-vit-large-patch14 ${MODEL_DIR}/stable-diffusion-v1-4/tokenizer
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ln -fs ${SCRIPT_DIR}/models/clip-vit-large-patch14 ${MODEL_DIR}/waifu-diffusion/tokenizer
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fi
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cd ${MODEL_DIR}
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if [[ -e "${MODEL_DIR}/sd-concepts-library" ]]; then
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cd ${MODEL_DIR}/sd-concepts-library
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git pull
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cd ..
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else
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git clone https://github.com/sd-webui/sd-concepts-library
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fi
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mkdir -p ${SCRIPT_DIR}/models/custom/sd-concepts-library
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ln -fs ${MODEL_DIR}/sd-concepts-library/sd-concepts-library ${SCRIPT_DIR}/models/custom/sd-concepts-library
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echo "export TRANSFORMERS_CACHE=${MODEL_DIR}" >> ~/.bashrc
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launch_command="streamlit run ${SCRIPT_DIR}/scripts/webui_streamlit.py"
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$launch_command
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sleep infinity
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