#!/usr/bin/env bash set -e # IMPORTANT: You need to have a token on huggingface.co to be able to download the checkpoint!!! # configure values by using env when executing build.sh # f.e. env ARCH=aarch64 GITHUB_INVOKE_AI=https://github.com/yourname/yourfork.git ./build.sh source ./docker-build/env.sh || echo "please run from repository root" || exit 1 invokeai_conda_version=${INVOKEAI_CONDA_VERSION:-py39_4.12.0-${platform/\//-}} invokeai_conda_prefix=${INVOKEAI_CONDA_PREFIX:-\/opt\/conda} invokeai_conda_env_file=${INVOKEAI_CONDA_ENV_FILE:-environment.yml} invokeai_git=${INVOKEAI_GIT:-https://github.com/invoke-ai/InvokeAI.git} huggingface_token=${HUGGINGFACE_TOKEN?} # print the settings echo "You are using these values:" echo -e "project_name:\t\t ${project_name}" echo -e "volumename:\t\t ${volumename}" echo -e "arch:\t\t\t ${arch}" echo -e "platform:\t\t ${platform}" echo -e "invokeai_conda_version:\t ${invokeai_conda_version}" echo -e "invokeai_conda_prefix:\t ${invokeai_conda_prefix}" echo -e "invokeai_conda_env_file: ${invokeai_conda_env_file}" echo -e "invokeai_git:\t\t ${invokeai_git}" echo -e "invokeai_tag:\t\t ${invokeai_tag}\n" _runAlpine() { docker run \ --rm \ --interactive \ --tty \ --mount source="$volumename",target=/data \ --workdir /data \ alpine "$@" } _copyCheckpoints() { echo "creating subfolders for models and outputs" _runAlpine mkdir models _runAlpine mkdir outputs echo -n "downloading sd-v1-4.ckpt" _runAlpine wget --header="Authorization: Bearer ${huggingface_token}" -O models/sd-v1-4.ckpt https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt echo "done" echo "downloading GFPGANv1.4.pth" _runAlpine wget -O models/GFPGANv1.4.pth https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth } _checkVolumeContent() { _runAlpine ls -lhA /data/models } _getModelMd5s() { _runAlpine \ alpine sh -c "md5sum /data/models/*" } if [[ -n "$(docker volume ls -f name="${volumename}" -q)" ]]; then echo "Volume already exists" if [[ -z "$(_checkVolumeContent)" ]]; then echo "looks empty, copying checkpoint" _copyCheckpoints fi echo "Models in ${volumename}:" _checkVolumeContent else echo -n "createing docker volume " docker volume create "${volumename}" _copyCheckpoints fi # Build Container docker build \ --platform="${platform}" \ --tag "${invokeai_tag}" \ --build-arg project_name="${project_name}" \ --build-arg conda_version="${invokeai_conda_version}" \ --build-arg conda_prefix="${invokeai_conda_prefix}" \ --build-arg conda_env_file="${invokeai_conda_env_file}" \ --build-arg invokeai_git="${invokeai_git}" \ --file ./docker-build/Dockerfile \ .