mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
235 lines
7.0 KiB
Bash
235 lines
7.0 KiB
Bash
#!/usr/bin/env bash
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# ensure we're in the correct folder in case user's CWD is somewhere else
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scriptdir=$(dirname "$0")
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cd "$scriptdir"
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set -euo pipefail
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IFS=$'\n\t'
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function _err_exit {
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if test "$1" -ne 0
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then
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echo -e "Error code $1; Error caught was '$2'"
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read -p "Press any key to exit..."
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exit
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fi
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}
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# This script will install git (if not found on the PATH variable)
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# using micromamba (an 8mb static-linked single-file binary, conda replacement).
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# For users who already have git, this step will be skipped.
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# Next, it'll download the project's source code.
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# Then it will download a self-contained, standalone Python and unpack it.
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# Finally, it'll create the Python virtual environment and preload the models.
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# This enables a user to install this project without manually installing git or Python
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echo -e "\n***** Installing InvokeAI into $(pwd)... *****\n"
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export no_cache_dir="--no-cache-dir"
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if [ $# -ge 1 ]; then
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if [ "$1" = "use-cache" ]; then
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export no_cache_dir=""
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fi
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fi
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OS_NAME=$(uname -s)
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case "${OS_NAME}" in
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Linux*) OS_NAME="linux";;
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Darwin*) OS_NAME="darwin";;
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*) echo -e "\n----- Unknown OS: $OS_NAME! This script runs only on Linux or macOS -----\n" && exit
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esac
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OS_ARCH=$(uname -m)
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case "${OS_ARCH}" in
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x86_64*) ;;
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arm64*) ;;
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*) echo -e "\n----- Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64 -----\n" && exit
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esac
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# https://mamba.readthedocs.io/en/latest/installation.html
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MAMBA_OS_NAME=$OS_NAME
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MAMBA_ARCH=$OS_ARCH
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if [ "$OS_NAME" == "darwin" ]; then
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MAMBA_OS_NAME="osx"
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fi
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if [ "$OS_ARCH" == "linux" ]; then
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MAMBA_ARCH="aarch64"
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fi
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if [ "$OS_ARCH" == "x86_64" ]; then
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MAMBA_ARCH="64"
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fi
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PY_ARCH=$OS_ARCH
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if [ "$OS_ARCH" == "arm64" ]; then
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PY_ARCH="aarch64"
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fi
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# Compute device ('cd' segment of reqs files) detect goes here
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# This needs a ton of work
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# Suggestions:
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# - lspci
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# - check $PATH for nvidia-smi, gtt CUDA/GPU version from output
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# - Surely there's a similar utility for AMD?
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CD="cuda"
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if [ "$OS_NAME" == "darwin" ] && [ "$OS_ARCH" == "arm64" ]; then
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CD="mps"
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fi
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# config
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INSTALL_ENV_DIR="$(pwd)/installer_files/env"
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MICROMAMBA_DOWNLOAD_URL="https://micro.mamba.pm/api/micromamba/${MAMBA_OS_NAME}-${MAMBA_ARCH}/latest"
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RELEASE_URL=https://github.com/invoke-ai/InvokeAI
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RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
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PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
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if [ "$OS_NAME" == "darwin" ]; then
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PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-apple-darwin-install_only.tar.gz
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elif [ "$OS_NAME" == "linux" ]; then
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PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-unknown-linux-gnu-install_only.tar.gz
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fi
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echo "INSTALLING $RELEASE_SOURCEBALL FROM $RELEASE_URL"
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PACKAGES_TO_INSTALL=""
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if ! hash "git" &>/dev/null; then PACKAGES_TO_INSTALL="$PACKAGES_TO_INSTALL git"; fi
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# (if necessary) install git and conda into a contained environment
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if [ "$PACKAGES_TO_INSTALL" != "" ]; then
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# download micromamba
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echo -e "\n***** Downloading micromamba from $MICROMAMBA_DOWNLOAD_URL to micromamba *****\n"
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curl -L "$MICROMAMBA_DOWNLOAD_URL" | tar -xvjO bin/micromamba > micromamba
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chmod u+x ./micromamba
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# test the mamba binary
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echo -e "\n***** Micromamba version: *****\n"
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./micromamba --version
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# create the installer env
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if [ ! -e "$INSTALL_ENV_DIR" ]; then
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./micromamba create -y --prefix "$INSTALL_ENV_DIR"
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fi
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echo -e "\n***** Packages to install:$PACKAGES_TO_INSTALL *****\n"
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./micromamba install -y --prefix "$INSTALL_ENV_DIR" -c conda-forge "$PACKAGES_TO_INSTALL"
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if [ ! -e "$INSTALL_ENV_DIR" ]; then
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echo -e "\n----- There was a problem while initializing micromamba. Cannot continue. -----\n"
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exit
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fi
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fi
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rm -f micromamba.exe
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export PATH="$INSTALL_ENV_DIR/bin:$PATH"
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# Download/unpack/clean up InvokeAI release sourceball
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_err_msg="\n----- InvokeAI source download failed -----\n"
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curl -L $RELEASE_URL/$RELEASE_SOURCEBALL --output InvokeAI.tgz
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_err_exit $? _err_msg
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_err_msg="\n----- InvokeAI source unpack failed -----\n"
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tar -zxf InvokeAI.tgz
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_err_exit $? _err_msg
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rm -f InvokeAI.tgz
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_err_msg="\n----- InvokeAI source copy failed -----\n"
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cd InvokeAI-*
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cp -r . ..
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_err_exit $? _err_msg
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cd ..
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# cleanup
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rm -rf InvokeAI-*/
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rm -rf .dev_scripts/ .github/ docker-build/ tests/ requirements.in requirements-mkdocs.txt shell.nix
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echo -e "\n***** Unpacked InvokeAI source *****\n"
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# Download/unpack/clean up python-build-standalone
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_err_msg="\n----- Python download failed -----\n"
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curl -L $PYTHON_BUILD_STANDALONE_URL/$PYTHON_BUILD_STANDALONE --output python.tgz
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_err_exit $? _err_msg
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_err_msg="\n----- Python unpack failed -----\n"
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tar -zxf python.tgz
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_err_exit $? _err_msg
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rm -f python.tgz
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echo -e "\n***** Unpacked python-build-standalone *****\n"
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# create venv
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_err_msg="\n----- problem creating venv -----\n"
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if [ "$OS_NAME" == "darwin" ]; then
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# patch sysconfig so that extensions can build properly
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# adapted from https://github.com/cashapp/hermit-packages/commit/fcba384663892f4d9cfb35e8639ff7a28166ee43
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PYTHON_INSTALL_DIR="$(pwd)/python"
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SYSCONFIG="$(echo python/lib/python*/_sysconfigdata_*.py)"
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TMPFILE="$(mktemp)"
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chmod +w "${SYSCONFIG}"
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cp "${SYSCONFIG}" "${TMPFILE}"
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sed "s,'/install,'${PYTHON_INSTALL_DIR},g" "${TMPFILE}" > "${SYSCONFIG}"
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rm -f "${TMPFILE}"
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fi
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./python/bin/python3 -E -s -m venv .venv
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_err_exit $? _err_msg
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source .venv/bin/activate
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echo -e "\n***** Created Python virtual environment *****\n"
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# Print venv's Python version
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_err_msg="\n----- problem calling venv's python -----\n"
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echo -e "We're running under"
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.venv/bin/python3 --version
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_err_exit $? _err_msg
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_err_msg="\n----- pip update failed -----\n"
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.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location --upgrade pip
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_err_exit $? _err_msg
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echo -e "\n***** Updated pip *****\n"
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_err_msg="\n----- requirements file copy failed -----\n"
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cp binary_installer/py3.10-${OS_NAME}-"${OS_ARCH}"-${CD}-reqs.txt requirements.txt
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_err_exit $? _err_msg
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_err_msg="\n----- main pip install failed -----\n"
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.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -r requirements.txt
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_err_exit $? _err_msg
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echo -e "\n***** Installed Python dependencies *****\n"
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_err_msg="\n----- InvokeAI setup failed -----\n"
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.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -e .
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_err_exit $? _err_msg
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echo -e "\n***** Installed InvokeAI *****\n"
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cp binary_installer/invoke.sh.in ./invoke.sh
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echo -e "\n***** Installed invoke launcher script ******\n"
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# more cleanup
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rm -rf binary_installer/ installer_files/
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# preload the models
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.venv/bin/python3 scripts/configure_invokeai.py
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_err_msg="\n----- model download clone failed -----\n"
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_err_exit $? _err_msg
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deactivate
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echo -e "\n***** Finished downloading models *****\n"
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echo "All done! Run the command"
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echo " $scriptdir/invoke.sh"
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echo "to start InvokeAI."
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read -p "Press any key to exit..."
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exit
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