mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
82 lines
2.7 KiB
Bash
Executable File
82 lines
2.7 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -e
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# IMPORTANT: You need to have a token on huggingface.co to be able to download the checkpoint!!!
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# configure values by using env when executing build.sh
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# f.e. env ARCH=aarch64 GITHUB_INVOKE_AI=https://github.com/yourname/yourfork.git ./build.sh
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source ./docker-build/env.sh || echo "please run from repository root" || exit 1
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invokeai_conda_version=${INVOKEAI_CONDA_VERSION:-py39_4.12.0-${platform/\//-}}
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invokeai_conda_prefix=${INVOKEAI_CONDA_PREFIX:-\/opt\/conda}
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invokeai_conda_env_file=${INVOKEAI_CONDA_ENV_FILE:-environment.yml}
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invokeai_git=${INVOKEAI_GIT:-https://github.com/invoke-ai/InvokeAI.git}
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huggingface_token=${HUGGINGFACE_TOKEN?}
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# print the settings
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echo "You are using these values:"
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echo -e "project_name:\t\t ${project_name}"
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echo -e "volumename:\t\t ${volumename}"
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echo -e "arch:\t\t\t ${arch}"
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echo -e "platform:\t\t ${platform}"
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echo -e "invokeai_conda_version:\t ${invokeai_conda_version}"
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echo -e "invokeai_conda_prefix:\t ${invokeai_conda_prefix}"
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echo -e "invokeai_conda_env_file: ${invokeai_conda_env_file}"
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echo -e "invokeai_git:\t\t ${invokeai_git}"
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echo -e "invokeai_tag:\t\t ${invokeai_tag}\n"
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_runAlpine() {
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docker run \
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--rm \
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--interactive \
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--tty \
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--mount source="$volumename",target=/data \
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--workdir /data \
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alpine "$@"
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}
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_copyCheckpoints() {
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echo "creating subfolders for models and outputs"
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_runAlpine mkdir models
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_runAlpine mkdir outputs
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echo -n "downloading sd-v1-4.ckpt"
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_runAlpine wget --header="Authorization: Bearer ${huggingface_token}" -O models/sd-v1-4.ckpt https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt
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echo "done"
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echo "downloading GFPGANv1.4.pth"
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_runAlpine wget -O models/GFPGANv1.4.pth https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth
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}
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_checkVolumeContent() {
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_runAlpine ls -lhA /data/models
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}
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_getModelMd5s() {
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_runAlpine \
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alpine sh -c "md5sum /data/models/*"
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}
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if [[ -n "$(docker volume ls -f name="${volumename}" -q)" ]]; then
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echo "Volume already exists"
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if [[ -z "$(_checkVolumeContent)" ]]; then
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echo "looks empty, copying checkpoint"
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_copyCheckpoints
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fi
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echo "Models in ${volumename}:"
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_checkVolumeContent
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else
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echo -n "createing docker volume "
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docker volume create "${volumename}"
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_copyCheckpoints
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fi
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# Build Container
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docker build \
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--platform="${platform}" \
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--tag "${invokeai_tag}" \
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--build-arg project_name="${project_name}" \
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--build-arg conda_version="${invokeai_conda_version}" \
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--build-arg conda_prefix="${invokeai_conda_prefix}" \
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--build-arg conda_env_file="${invokeai_conda_env_file}" \
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--build-arg invokeai_git="${invokeai_git}" \
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--file ./docker-build/Dockerfile \
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.
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