stable-diffusion-webui-docker/services/AUTOMATIC1111/mount.sh

#!/bin/bash

set -e

declare -A MODELS

MODELS["${ROOT}/GFPGANv1.3.pth"]=GFPGANv1.3.pth
MODELS["${WORKDIR}/repositories/latent-diffusion/experiments/pretrained_models/model.chkpt"]=LDSR.ckpt
MODELS["${WORKDIR}/repositories/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml

MODELS_DIR=/cache/models

for path in "${!MODELS[@]}"; do
  name=${MODELS[$path]}
  base=$(dirname "${path}")
  from_path="${MODELS_DIR}/${name}"
  if test -f "${from_path}"; then
    mkdir -p "${base}" && ln -sf "${from_path}" "${path}" && echo "Mounted ${name}"
  else
    echo "Skipping ${name}"
  fi
done

# force realesrgan cache
rm -rf /opt/conda/lib/python3.8/site-packages/realesrgan/weights
ln -s -T "${MODELS_DIR}" /opt/conda/lib/python3.8/site-packages/realesrgan/weights

# force facexlib cache
mkdir -p /cache/weights/ ${WORKDIR}/gfpgan/
ln -sf /cache/weights/ ${WORKDIR}/gfpgan/
# code former cache
rm -rf ${ROOT}/repositories/CodeFormer/weights/CodeFormer ${ROOT}/repositories/CodeFormer/weights/facelib
ln -sf -T /cache/weights ${ROOT}/repositories/CodeFormer/weights/CodeFormer
ln -sf -T /cache/weights ${ROOT}/repositories/CodeFormer/weights/facelib

mkdir -p /cache/torch /cache/transformers /cache/weights /cache/models /cache/custom-models