402c691a49
1. Update `docker-compose.yml`: use `PRELOAD=true` for lstein. See the
[note](94bad8555a/docs/installation/INSTALL_LINUX.md (L60)
)
in the installation guide of InvokeAI.
3. Fix `services/lstein/mount.sh`: change `CodeFormer` to `Codeformer`.
4. Update `services/lstein/mount.sh`: avoid having to re-download the
`${PWD}/gfpgan/weights/...` every time the container is started.
30 lines
907 B
Bash
Executable File
30 lines
907 B
Bash
Executable File
#!/bin/bash
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set -Eeuo pipefail
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declare -A MOUNTS
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# cache
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MOUNTS["/root/.cache"]=/data/.cache
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# ui specific
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MOUNTS["${PWD}/models/ldm/stable-diffusion-v1/model.ckpt"]=/data/StableDiffusion/model.ckpt
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MOUNTS["${PWD}/src/gfpgan/experiments/pretrained_models/GFPGANv1.4.pth"]=/data/GFPGAN/GFPGANv1.4.pth
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MOUNTS["${PWD}/ldm/invoke/restoration/codeformer/weights"]=/data/Codeformer
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# hacks
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MOUNTS["/opt/conda/lib/python3.9/site-packages/facexlib/weights"]=/data/.cache
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MOUNTS["/opt/conda/lib/python3.9/site-packages/realesrgan/weights"]=/data/RealESRGAN
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MOUNTS["${PWD}/gfpgan/weights"]=/data/.cache
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for to_path in "${!MOUNTS[@]}"; do
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set -Eeuo pipefail
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from_path="${MOUNTS[${to_path}]}"
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rm -rf "${to_path}"
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mkdir -p "$(dirname "${to_path}")"
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ln -sT "${from_path}" "${to_path}"
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echo Mounted $(basename "${from_path}")
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done
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if "${PRELOAD}" == "true"; then
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python3 -u scripts/preload_models.py
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fi
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