39 lines
1.2 KiB
Bash
Executable File
39 lines
1.2 KiB
Bash
Executable File
#!/bin/bash
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set -e
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declare -A MODELS
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ROOT=/stable-diffusion/src
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MODELS["${ROOT}/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth"]=GFPGANv1.3.pth
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MODELS["${ROOT}/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus.pth"]=RealESRGAN_x4plus.pth
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MODELS["${ROOT}/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus_anime_6B.pth"]=RealESRGAN_x4plus_anime_6B.pth
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MODELS["/latent-diffusion/experiments/pretrained_models/model.ckpt"]=LDSR.ckpt
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# MODELS["/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml
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MODELS_DIR=/cache/models
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for path in "${!MODELS[@]}"; do
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name=${MODELS[$path]}
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base=$(dirname "${path}")
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from_path="${MODELS_DIR}/${name}"
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if test -f "${from_path}"; then
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mkdir -p "${base}" && ln -sf "${from_path}" "${path}" && echo "Mounted ${name}"
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else
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echo "Skipping ${name}"
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fi
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done
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# hack for latent-diffusion
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if test -f "${MODELS_DIR}/LDSR.yaml"; then
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sed 's/ldm\./ldm_latent\./g' "${MODELS_DIR}/LDSR.yaml" >/latent-diffusion/experiments/pretrained_models/project.yaml
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fi
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# force facexlib cache
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mkdir -p /cache/weights/ /stable-diffusion/gfpgan/
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ln -sf /cache/weights/ /stable-diffusion/gfpgan/
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# streamlit config
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ln -sf /docker/webui_streamlit.yaml /stable-diffusion/configs/webui/webui_streamlit.yaml
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