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add InvokeAI 

Signed-off-by: Jeff Carr <jcarr@wit.com>
This commit is contained in:
Jeff Carr 2023-01-29 12:40:26 -06:00
parent ce1b9970dc
commit ec75c732b4
28 changed files with 2219 additions and 0 deletions
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** Model Installation Successful **
You're all set!
If you installed using one of the automated installation scripts,
execute 'invoke.sh' (Linux/macOS) or 'invoke.bat' (Windows) to
start InvokeAI.
If you installed manually, activate the 'invokeai' environment
(e.g. 'conda activate invokeai'), then run one of the following
commands to start InvokeAI.
Web UI:
python scripts/invoke.py --web # (connect to http://localhost:9090)
Command-line interface:
python scripts/invoke.py
Have fun!

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name: invokeai
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- albumentations=0.4.3
- cudatoolkit
- einops=0.3.0
- eventlet
- flask-socketio=5.3.0
- flask=2.1.*
- flask_cors=3.0.10
- imageio-ffmpeg=0.4.2
- imageio=2.9.0
- kornia=0.6
- numpy=1.19
- opencv=4.6.0
- pillow=8.*
- pip>=22.2.2
- pudb=2019.2
- python=3.9.*
- pytorch
- pytorch-lightning=1.7.7
- send2trash=1.8.0
- streamlit
- tokenizers>=0.11.1,!=0.11.3,<0.13
- torch-fidelity=0.3.0
- torchmetrics=0.7.0
- torchvision
- transformers=4.21.3
- pip:
- getpass_asterisk
- omegaconf==2.1.1
- picklescan
- pyreadline3
- realesrgan
- taming-transformers-rom1504
- test-tube>=0.7.5
- git+https://github.com/openai/CLIP.git@main#egg=clip
- git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
- git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
- git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
- git+https://github.com/invoke-ai/PyPatchMatch@0.1.5#egg=pypatchmatch
- -e .

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name: invokeai
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- python=3.9.*
- pip=22.2.2
- numpy=1.23.3
- pip:
- --extra-index-url https://download.pytorch.org/whl/rocm5.2/
- albumentations==0.4.3
- diffusers==0.6.0
- einops==0.3.0
- eventlet
- flask==2.1.3
- flask_cors==3.0.10
- flask_socketio==5.3.0
- getpass_asterisk
- imageio-ffmpeg==0.4.2
- imageio==2.9.0
- kornia==0.6.0
- omegaconf==2.2.3
- opencv-python==4.5.5.64
- picklescan
- pillow==9.2.0
- pudb==2019.2
- pyreadline3
- pytorch-lightning==1.7.7
- realesrgan
- send2trash==1.8.0
- streamlit==1.12.0
- taming-transformers-rom1504
- test-tube>=0.7.5
- tqdm
- torch
- torch-fidelity==0.3.0
- torchaudio
- torchmetrics==0.7.0
- torchvision
- transformers==4.21.3
- git+https://github.com/openai/CLIP.git@main#egg=clip
- git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
- git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
- git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
- git+https://github.com/invoke-ai/PyPatchMatch@0.1.5#egg=pypatchmatch
- -e .

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name: invokeai
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- python=3.9.*
- pip=22.2.2
- numpy=1.23.3
- torchvision=0.13.1
- torchaudio=0.12.1
- pytorch=1.12.1
- cudatoolkit=11.6
- pip:
- albumentations==0.4.3
- diffusers==0.6.0
- einops==0.3.0
- eventlet
- flask==2.1.3
- flask_cors==3.0.10
- flask_socketio==5.3.0
- getpass_asterisk
- imageio-ffmpeg==0.4.2
- imageio==2.9.0
- kornia==0.6.0
- omegaconf==2.2.3
- opencv-python==4.5.5.64
- picklescan
- pillow==9.2.0
- pudb==2019.2
- pyreadline3
- pytorch-lightning==1.7.7
- realesrgan
- send2trash==1.8.0
- streamlit==1.12.0
- taming-transformers-rom1504
- test-tube>=0.7.5
- torch-fidelity==0.3.0
- torchmetrics==0.7.0
- transformers==4.21.3
- git+https://github.com/openai/CLIP.git@main#egg=clip
- git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
- git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
- git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
- git+https://github.com/invoke-ai/PyPatchMatch@0.1.5#egg=pypatchmatch
- -e .

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name: invokeai
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- python=3.10
- pip>=22.2
- pytorch=1.12
- pytorch-lightning=1.7
- torchvision=0.13
- torchmetrics=0.10
- torch-fidelity=0.3
# I suggest to keep the other deps sorted for convenience.
# To determine what the latest versions should be, run:
#
# ```shell
# sed -E 's/invokeai/invokeai-updated/;20,99s/- ([^=]+)==.+/- \1/' environment-mac.yml > environment-mac-updated.yml
# CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac-updated.yml && conda list -n invokeai-updated | awk ' {print " - " $1 "==" $2;} '
# ```
- albumentations=1.2
- coloredlogs=15.0
- diffusers=0.6
- einops=0.3
- eventlet
- grpcio=1.46
- flask=2.1
- flask-socketio=5.3
- flask-cors=3.0
- humanfriendly=10.0
- imageio=2.21
- imageio-ffmpeg=0.4
- imgaug=0.4
- kornia=0.6
- mpmath=1.2
- nomkl=3
- numpy=1.23
- omegaconf=2.1
- openh264=2.3
- onnx=1.12
- onnxruntime=1.12
- pudb=2019.2
- protobuf=3.20
- py-opencv=4.6
- scipy=1.9
- streamlit=1.12
- sympy=1.10
- send2trash=1.8
- tensorboard=2.10
- transformers=4.23
- pip:
- getpass_asterisk
- picklescan
- taming-transformers-rom1504
- test-tube==0.7.5
- git+https://github.com/openai/CLIP.git@main#egg=clip
- git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
- git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
- git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
- git+https://github.com/invoke-ai/PyPatchMatch@0.1.5#egg=pypatchmatch
- -e .
variables:
PYTORCH_ENABLE_MPS_FALLBACK: 1

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name: invokeai
channels:
- pytorch
- conda-forge
- defaults
dependencies:
- python=3.10.*
- pip=22.2.2
- numpy=1.23.3
- torchvision=0.13.1
- torchaudio=0.12.1
- pytorch=1.12.1
- cudatoolkit=11.6
- pip:
- albumentations==0.4.3
- diffusers==0.6.0
- einops==0.3.0
- eventlet
- flask==2.1.3
- flask_cors==3.0.10
- flask_socketio==5.3.0
- getpass_asterisk
- imageio-ffmpeg==0.4.2
- imageio==2.9.0
- kornia==0.6.0
- omegaconf==2.2.3
- opencv-python==4.5.5.64
- picklescan
- pillow==9.2.0
- pudb==2019.2
- pyreadline3
- pytorch-lightning==1.7.7
- realesrgan
- send2trash==1.8.0
- streamlit==1.12.0
- taming-transformers-rom1504
- test-tube>=0.7.5
- torch-fidelity==0.3.0
- torchmetrics==0.7.0
- transformers==4.21.3
- git+https://github.com/openai/CLIP.git@main#egg=clip
- git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k_diffusion
- git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
- git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.1#egg=gfpgan
- git+https://github.com/invoke-ai/PyPatchMatch@0.1.5#egg=pypatchmatch
- -e .

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# pip will resolve the version which matches torch
albumentations
diffusers==0.10.*
dnspython==2.2.1
einops
eventlet
facexlib
flask==2.1.3
flask_cors==3.0.10
flask_socketio==5.3.0
flaskwebgui==1.0.3
getpass_asterisk
gfpgan==1.3.8
huggingface-hub
imageio
imageio-ffmpeg
kornia
numpy==1.23.*
omegaconf
opencv-python
picklescan
pillow
pip>=22
pudb
pyreadline3
pytorch-lightning==1.7.7
realesrgan
requests==2.25.1
scikit-image>=0.19
send2trash
streamlit
taming-transformers-rom1504
test-tube>=0.7.5
torch-fidelity
torchmetrics
transformers==4.25.*
https://github.com/Birch-san/k-diffusion/archive/refs/heads/mps.zip#egg=k-diffusion
https://github.com/invoke-ai/PyPatchMatch/archive/refs/tags/0.1.5.zip#egg=pypatchmatch
https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip#egg=clip
https://github.com/invoke-ai/clipseg/archive/relaxed-python-requirement.zip#egg=clipseg

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-r environments-and-requirements/requirements-base.txt
# Get hardware-appropriate torch/torchvision
--extra-index-url https://download.pytorch.org/whl/rocm5.1.1 --trusted-host https://download.pytorch.org
torch
torchvision
-e .

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--pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
-r environments-and-requirements/requirements-base.txt
-e .

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--extra-index-url https://download.pytorch.org/whl/cu116 --trusted-host https://download.pytorch.org
-r environments-and-requirements/requirements-base.txt
torch
torchvision
-e .

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-r environments-and-requirements/requirements-base.txt
grpcio<1.51.0
protobuf==3.19.6
torch<1.13.0
torchvision<0.14.0
-e .

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InvokeAI/files/opt/invokeai/InvokeAI-Installer/environments-and-requirements/requirements-win-colab-cuda.txt Normal file
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-r environments-and-requirements/requirements-base.txt
# Get hardware-appropriate torch/torchvision
--extra-index-url https://download.pytorch.org/whl/cu116 --trusted-host https://download.pytorch.org
torch==1.12.1
torchvision==0.13.1
-e .

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#!/usr/bin/env bash
# ensure we're in the correct folder in case user's CWD is somewhere else
scriptdir=$(dirname "$0")
cd "$scriptdir"
# This version number will be replaced by the one supplied to create_installers.sh.
# Do not change it here - change it in create_installers.sh.
INVOKEAI_VERSION="v2.2.5p2"
# make sure we are not already in a venv
# (don't need to check status)
deactivate >/dev/null 2>&1
INVOKE_AI_SRC=https://github.com/invoke-ai/InvokeAI/archive/refs/tags/${INVOKEAI_VERSION}.zip
INSTRUCTIONS=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
TROUBLESHOOTING=https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting
MINIMUM_PYTHON_VERSION=3.9.0
set -euo pipefail
IFS=$'\n\t'
function _err_exit {
if test "$1" -ne 0
then
echo -e "Error code $1; Error caught was '$2'"
if [ "$OS_NAME" == "osx" ]; then
echo "Something went wrong while installing InvokeAI and/or its requirements."
echo "You may need to use the Xcode command line tools to proceed. See step number 3 of"
echo "https://invoke-ai.github.io/InvokeAI/INSTALL_SOURCE#walk_through for"
echo "installation instructions and then run this script again."
else
echo "Something went wrong while installing InvokeAI and/or its requirements."
echo "See https://invoke-ai.github.io/InvokeAI/INSTALL_SOURCE#troubleshooting for troubleshooting"
echo "tips, or visit https://invoke-ai.github.io/InvokeAI/#installation for alternative"
echo "installation methods"
fi
read -p "Press any key to exit..."
exit
fi
}
function readinput() {
local CLEAN_ARGS=""
while [[ $# -gt 0 ]]; do
local i="$1"
case "$i" in
"-i")
if read -i "default" 2>/dev/null <<< "test"; then
CLEAN_ARGS="$CLEAN_ARGS -i \"$2\""
fi
shift
shift
;;
"-p")
CLEAN_ARGS="$CLEAN_ARGS -p \"$2\""
shift
shift
;;
*)
CLEAN_ARGS="$CLEAN_ARGS $1"
shift
;;
esac
done
eval read $CLEAN_ARGS
}
function version { echo "$@" | awk -F. '{ printf("%d%03d%03d%03d\n", $1,$2,$3,$4); }'; }
echo "InvokeAI simple installer..."
echo ""
echo "Some of the installation steps take a long time to run. Please be patient."
echo "If the script appears to hang for more than 10 minutes, please interrupt with control-C and retry."
read -n 1 -s -r -p "<Press any key to start the install>"
echo ""
OS_NAME=$(uname -s)
case "${OS_NAME}" in
Linux*) OS_NAME="linux";;
Darwin*) OS_NAME="osx";;
*) echo "Unknown OS: $OS_NAME! This script runs only on Linux or Mac" && exit
esac
OS_ARCH=$(uname -m)
case "${OS_ARCH}" in
x86_64*) OS_ARCH="64";;
arm64*) OS_ARCH="arm64";;
*) echo "Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64" && exit
esac
echo "Installing for $OS_NAME-$OS_ARCH"
# confirm that python is installed and is up to date
PYTHON=""
for candidate in python3.10 python3.9 python3 python python3.11 ; do
if ppath=`which $candidate`; then
python_version=$($ppath -V | awk '{ print $2 }')
if [ $(version $python_version) -ge $(version "$MINIMUM_PYTHON_VERSION") ]; then
PYTHON=$ppath
echo Python $python_version found at $PYTHON
break
fi
fi
done
if [ -z "$PYTHON" ]; then
echo "A suitable Python interpreter could not be found"
echo "Please install Python 3.9 or higher before running this script. See instructions at $INSTRUCTIONS for help."
read -p "Press any key to exit"
exit -1
fi
ROOTDIR=""
while [ "$ROOTDIR" == "" ]
do
echo
readinput -e -p "Select your preferred location for the 'invokeai' directory [$HOME]: " -i $HOME input
ROOTDIR=${input:=$HOME}/invokeai
# This is surprisingly hard to do in plain Bash; easier in ZSH. Just running python in subshell is easiest.
ROOTDIR=$(python -c "from pathlib import Path; print(Path('${ROOTDIR}').expanduser().resolve())")
read -e -p "InvokeAI will be installed into $ROOTDIR. OK? [y]: " input
RESPONSE=${input:='y'}
if [ "$RESPONSE" == 'y' ]; then
if [ -e "$ROOTDIR" ]; then
echo
read -e -p "Directory "$ROOTDIR" already exists. Do you want to resume an interrupted install? [y]: " input
RESPONSE=${input:='y'}
if [ "$RESPONSE" != 'y' ]; then
ROOTDIR=""
fi
else
mkdir -p "$ROOTDIR"
if [ $? -ne 0 ]; then
echo "Could not create "$ROOTDIR". Try again with a different install location."
ROOTDIR=""
fi
fi
else
ROOTDIR=""
fi
done
#--------------------------------------------------------------------------------
echo
echo "** Creating Virtual Environment for InvokeAI **"
$PYTHON -mvenv "$ROOTDIR"/.venv
_err_exit $? "Python failed to create virtual environment "$ROOTDIR"/.venv. Please see $TROUBLESHOOTING for help."
#--------------------------------------------------------------------------------
echo
echo "** Activating Virtual Environment for InvokeAI **"
source "$ROOTDIR"/.venv/bin/activate
_err_exit $? "Failed to activate virtual evironment "$ROOTDIR"/.venv. Please see $TROUBLESHOOTING for help."
PYTHON="$ROOTDIR"/.venv/bin/python
$PYTHON -mensurepip --upgrade
$PYTHON -mpip install --upgrade pip
#--------------------------------------------------------------------------------
echo
echo "*** Installing InvokeAI Dependencies ***"
if [ "$OS_NAME" == "osx" ]; then
echo "macOS detected. Installing MPS and CPU support."
egrep -v '^-e .' environments-and-requirements/requirements-mac-mps-cpu.txt >requirements.txt
else
if (lsmod | grep amdgpu) &>/dev/null ; then
readinput -e -p "Linux system with AMD GPU driver detected. Install ROCm AMD accelerated support? (Otherwise, CUDA support will be installed) [n]: " input
RESPONSE=${input:='n'}
if [ "$RESPONSE" != "n" ]; then
echo "Installing ROCm (AMD) support"
egrep -v '^-e .' environments-and-requirements/requirements-lin-amd.txt >requirements.txt
else
echo "Installing CUDA support"
egrep -v '^-e .' environments-and-requirements/requirements-lin-cuda.txt >requirements.txt
fi
else
echo "Linux system detected. Installing CUDA and CPU support."
egrep -v '^-e .' environments-and-requirements/requirements-lin-cuda.txt >requirements.txt
fi
fi
$PYTHON -mpip install --prefer-binary -r requirements.txt
_err_exit $? "Failed to install InvokeAI's dependencies."
#--------------------------------------------------------------------------------
echo
echo "*** Installing InvokeAI Modules and Executables ***"
$PYTHON -mpip install $INVOKE_AI_SRC
_err_exit $? "Installation of InvokeAI failed."
#--------------------------------------------------------------------------------
echo " *** Setting Up Root Directory "$ROOTDIR" *** "
cp -pr templates/rootdir/* "$ROOTDIR"/
cp templates/invoke.sh.in "$ROOTDIR"/invoke.sh
chmod a+rx "$ROOTDIR"/invoke.sh
cp templates/update.sh.in "$ROOTDIR"/update.sh
chmod a+rx "$ROOTDIR"/update.sh
# This allows the updater to work!
cp -pr environments-and-requirements requirements.txt "$ROOTDIR/"
#--------------------------------------------------------------------------------
echo
echo "*** Confguring InvokeAI ***"
pushd "$ROOTDIR" >/dev/null
$PYTHON ./.venv/bin/configure_invokeai.py --root="$ROOTDIR"
_err_exit $? "Initial configuration failed. Please see above error messages and $TROUBLESHOOTING for help."
#--------------------------------------------------------------------------------
popd
cp templates/invoke.sh.in "$ROOTDIR"/invoke.sh
chmod a+rx "$ROOTDIR"/invoke.sh
cp templates/update.sh.in "$ROOTDIR"/update.sh
chmod a+rx "$ROOTDIR"/update.sh
echo "You may now run InvokeAI by entering the directory $ROOTDIR and running invoke.sh:"
echo
echo " ${ROOTDIR}/invoke.sh"
echo
read -e -p "Run InvokeAI now? [y]:" input
RESPONSE=${input:='y'}
if [ "$RESPONSE" == 'y' ]; then
exec ${ROOTDIR}/invoke.sh
fi

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InvokeAI
Project homepage: https://github.com/invoke-ai/InvokeAI
Preparations:
You will need to install Python 3.9 or higher for this installer
to work. Instructions are given here:
https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/
Before you start the installer, please open up your system's command
line window (Terminal or Command) and type the commands:
python --version
If all is well, it will print "Python 3.X.X", where the version number
is at least 3.9.1
If this works, check the version of the Python package manager, pip:
pip --version
You should get a message that indicates that the pip package
installer was derived from Python 3.9 or 3.10. For example:
"pip 22.3.1 from /usr/bin/pip (python 3.9)"
Long Paths on Windows:
If you are on Windows, you will need to enable Windows Long Paths to
run InvokeAI successfully. If you're not sure what this is, you
almost certainly need to do this.
Simply double-click the "WinLongPathsEnabled.reg" file located in
this directory, and approve the Windows warnings. Note that you will
need to have admin privileges in order to do this.
Launching the installer:
Windows: double-click the 'install.bat' file (while keeping it inside
the InvokeAI-Installer folder).
Linux and Mac: Please open the terminal application and run
'./install.sh' (while keeping it inside the InvokeAI-Installer
folder).
The installer will create a directory named "invokeai" in the folder
of your choice. This directory contains everything you need to run
invokeai. Once InvokeAI is up and running, you may delete the
InvokeAI-Installer folder at your convenience.
For more information, please see
https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/

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-r environments-and-requirements/requirements-base.txt
# Get hardware-appropriate torch/torchvision
--extra-index-url https://download.pytorch.org/whl/rocm5.1.1 --trusted-host https://download.pytorch.org
torch
torchvision

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@echo off
PUSHD "%~dp0"
setlocal
call .venv\Scripts\activate.bat
set INVOKEAI_ROOT=.
echo Do you want to generate images using the
echo 1. command-line
echo 2. browser-based UI
echo 3. open the developer console
set /P restore="Please enter 1, 2 or 3: "
IF /I "%restore%" == "1" (
echo Starting the InvokeAI command-line..
python .venv\Scripts\invoke.py %*
) ELSE IF /I "%restore%" == "2" (
echo Starting the InvokeAI browser-based UI..
python .venv\Scripts\invoke.py --web %*
) ELSE IF /I "%restore%" == "3" (
echo Developer Console
echo Python command is:
where python
echo Python version is:
python --version
echo *************************
echo You are now in the system shell, with the local InvokeAI Python virtual environment activated,
echo so that you can troubleshoot this InvokeAI installation as necessary.
echo *************************
echo *** Type `exit` to quit this shell and deactivate the Python virtual environment ***
call cmd /k
) ELSE (
echo Invalid selection
pause
exit /b
)
endlocal

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#!/bin/bash
set -eu
# ensure we're in the correct folder in case user's CWD is somewhere else
scriptdir=$(dirname "$0")
cd "$scriptdir"
. .venv/bin/activate
export INVOKEAI_ROOT="$scriptdir"
# set required env var for torch on mac MPS
if [ "$(uname -s)" == "Darwin" ]; then
export PYTORCH_ENABLE_MPS_FALLBACK=1
fi
if [ "$0" != "bash" ]; then
echo "Do you want to generate images using the"
echo "1. command-line"
echo "2. browser-based UI"
echo "3. open the developer console"
read -p "Please enter 1, 2, or 3: " yn
case $yn in
1 ) printf "\nStarting the InvokeAI command-line..\n"; .venv/bin/python .venv/bin/invoke.py $*;;
2 ) printf "\nStarting the InvokeAI browser-based UI..\n"; .venv/bin/python .venv/bin/invoke.py --web $*;;
3 ) printf "\nDeveloper Console:\n"; file_name=$(basename "${BASH_SOURCE[0]}"); bash --init-file "$file_name";;
* ) echo "Invalid selection"; exit;;
esac
else # in developer console
python --version
echo "Press ^D to exit"
export PS1="(InvokeAI) \u@\h \w> "
fi

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stable-diffusion-1.5:
description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
repo_id: runwayml/stable-diffusion-v1-5
config: v1-inference.yaml
file: v1-5-pruned-emaonly.ckpt
recommended: true
width: 512
height: 512
inpainting-1.5:
description: RunwayML SD 1.5 model optimized for inpainting (4.27 GB)
repo_id: runwayml/stable-diffusion-inpainting
config: v1-inpainting-inference.yaml
file: sd-v1-5-inpainting.ckpt
recommended: True
width: 512
height: 512
ft-mse-improved-autoencoder-840000:
description: StabilityAI improved autoencoder fine-tuned for human faces (recommended; 335 MB)
repo_id: stabilityai/sd-vae-ft-mse-original
config: VAE/default
file: vae-ft-mse-840000-ema-pruned.ckpt
recommended: True
width: 512
height: 512
stable-diffusion-1.4:
description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
repo_id: CompVis/stable-diffusion-v-1-4-original
config: v1-inference.yaml
file: sd-v1-4.ckpt
recommended: False
width: 512
height: 512
waifu-diffusion-1.3:
description: Stable Diffusion 1.4 fine tuned on anime-styled images (4.27 GB)
repo_id: hakurei/waifu-diffusion-v1-3
config: v1-inference.yaml
file: model-epoch09-float32.ckpt
recommended: False
width: 512
height: 512
trinart-2.0:
description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures (2.13 GB)
repo_id: naclbit/trinart_stable_diffusion_v2
config: v1-inference.yaml
file: trinart2_step95000.ckpt
recommended: False
width: 512
height: 512
trinart_characters-1.0:
description: An SD model finetuned with 19.2M anime/manga style images (2.13 GB)
repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
config: v1-inference.yaml
file: trinart_characters_it4_v1.ckpt
recommended: False
width: 512
height: 512
trinart_vae:
description: Custom autoencoder for trinart_characters
repo_id: naclbit/trinart_characters_19.2m_stable_diffusion_v1
config: VAE/trinart
file: autoencoder_fix_kl-f8-trinart_characters.ckpt
recommended: False
width: 512
height: 512
papercut-1.0:
description: SD 1.5 fine-tuned for papercut art (use "PaperCut" in your prompts) (2.13 GB)
repo_id: Fictiverse/Stable_Diffusion_PaperCut_Model
config: v1-inference.yaml
file: PaperCut_v1.ckpt
recommended: False
width: 512
height: 512
voxel_art-1.0:
description: Stable Diffusion trained on voxel art (use "VoxelArt" in your prompts) (4.27 GB)
repo_id: Fictiverse/Stable_Diffusion_VoxelArt_Model
config: v1-inference.yaml
file: VoxelArt_v1.ckpt
recommended: False
width: 512
height: 512

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# This file describes the alternative machine learning models
# available to InvokeAI script.
#
# To add a new model, follow the examples below. Each
# model requires a model config file, a weights file,
# and the width and height of the images it
# was trained on.
stable-diffusion-1.5:
description: The newest Stable Diffusion version 1.5 weight file (4.27 GB)
weights: models/ldm/stable-diffusion-v1/v1-5-pruned-emaonly.ckpt
config: configs/stable-diffusion/v1-inference.yaml
width: 512
height: 512
vae: ./models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
default: true
stable-diffusion-1.4:
description: Stable Diffusion inference model version 1.4
config: configs/stable-diffusion/v1-inference.yaml
weights: models/ldm/stable-diffusion-v1/sd-v1-4.ckpt
vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
width: 512
height: 512
inpainting-1.5:
weights: models/ldm/stable-diffusion-v1/sd-v1-5-inpainting.ckpt
config: configs/stable-diffusion/v1-inpainting-inference.yaml
vae: models/ldm/stable-diffusion-v1/vae-ft-mse-840000-ema-pruned.ckpt
description: RunwayML SD 1.5 model optimized for inpainting
width: 512
height: 512

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sd-concepts-library/001glitch-core
sd-concepts-library/2814-roth
sd-concepts-library/3d-female-cyborgs
sd-concepts-library/4tnght
sd-concepts-library/80s-anime-ai
sd-concepts-library/80s-anime-ai-being
sd-concepts-library/852style-girl
sd-concepts-library/8bit
sd-concepts-library/8sconception
sd-concepts-library/Aflac-duck
sd-concepts-library/Akitsuki
sd-concepts-library/Atako
sd-concepts-library/Exodus-Styling
sd-concepts-library/RINGAO
sd-concepts-library/a-female-hero-from-the-legend-of-mir
sd-concepts-library/a-hat-kid
sd-concepts-library/a-tale-of-two-empires
sd-concepts-library/aadhav-face
sd-concepts-library/aavegotchi
sd-concepts-library/abby-face
sd-concepts-library/abstract-concepts
sd-concepts-library/accurate-angel
sd-concepts-library/agm-style-nao
sd-concepts-library/aj-fosik
sd-concepts-library/alberto-mielgo
sd-concepts-library/alex-portugal
sd-concepts-library/alex-thumbnail-object-2000-steps
sd-concepts-library/aleyna-tilki
sd-concepts-library/alf
sd-concepts-library/alicebeta
sd-concepts-library/alien-avatar
sd-concepts-library/alisa
sd-concepts-library/all-rings-albuns
sd-concepts-library/altvent
sd-concepts-library/altyn-helmet
sd-concepts-library/amine
sd-concepts-library/amogus
sd-concepts-library/anders-zorn
sd-concepts-library/angus-mcbride-style
sd-concepts-library/animalve3-1500seq
sd-concepts-library/anime-background-style
sd-concepts-library/anime-background-style-v2
sd-concepts-library/anime-boy
sd-concepts-library/anime-girl
sd-concepts-library/anyXtronXredshift
sd-concepts-library/anya-forger
sd-concepts-library/apex-wingman
sd-concepts-library/apulian-rooster-v0-1
sd-concepts-library/arcane-face
sd-concepts-library/arcane-style-jv
sd-concepts-library/arcimboldo-style
sd-concepts-library/armando-reveron-style
sd-concepts-library/armor-concept
sd-concepts-library/arq-render
sd-concepts-library/art-brut
sd-concepts-library/arthur1
sd-concepts-library/artist-yukiko-kanagai
sd-concepts-library/arwijn
sd-concepts-library/ashiok
sd-concepts-library/at-wolf-boy-object
sd-concepts-library/atm-ant
sd-concepts-library/atm-ant-2
sd-concepts-library/axe-tattoo
sd-concepts-library/ayush-spider-spr
sd-concepts-library/azura-from-vibrant-venture
sd-concepts-library/ba-shiroko
sd-concepts-library/babau
sd-concepts-library/babs-bunny
sd-concepts-library/babushork
sd-concepts-library/backrooms
sd-concepts-library/bad_Hub_Hugh
sd-concepts-library/bada-club
sd-concepts-library/baldi
sd-concepts-library/baluchitherian
sd-concepts-library/bamse
sd-concepts-library/bamse-og-kylling
sd-concepts-library/bee
sd-concepts-library/beholder
sd-concepts-library/beldam
sd-concepts-library/belen
sd-concepts-library/bella-goth
sd-concepts-library/belle-delphine
sd-concepts-library/bert-muppet
sd-concepts-library/better-collage3
sd-concepts-library/between2-mt-fade
sd-concepts-library/birb-style
sd-concepts-library/black-and-white-design
sd-concepts-library/black-waifu
sd-concepts-library/bloo
sd-concepts-library/blue-haired-boy
sd-concepts-library/blue-zombie
sd-concepts-library/blue-zombiee
sd-concepts-library/bluebey
sd-concepts-library/bluebey-2
sd-concepts-library/bobs-burgers
sd-concepts-library/boissonnard
sd-concepts-library/bonzi-monkey
sd-concepts-library/borderlands
sd-concepts-library/bored-ape-textual-inversion
sd-concepts-library/boris-anderson
sd-concepts-library/bozo-22
sd-concepts-library/breakcore
sd-concepts-library/brittney-williams-art
sd-concepts-library/bruma
sd-concepts-library/brunnya
sd-concepts-library/buddha-statue
sd-concepts-library/bullvbear
sd-concepts-library/button-eyes
sd-concepts-library/canadian-goose
sd-concepts-library/canary-cap
sd-concepts-library/cancer_style
sd-concepts-library/captain-haddock
sd-concepts-library/captainkirb
sd-concepts-library/car-toy-rk
sd-concepts-library/carasibana
sd-concepts-library/carlitos-el-mago
sd-concepts-library/carrascharacter
sd-concepts-library/cartoona-animals
sd-concepts-library/cat-toy
sd-concepts-library/centaur
sd-concepts-library/cgdonny1
sd-concepts-library/cham
sd-concepts-library/chandra-nalaar
sd-concepts-library/char-con
sd-concepts-library/character-pingu
sd-concepts-library/cheburashka
sd-concepts-library/chen-1
sd-concepts-library/child-zombie
sd-concepts-library/chillpill
sd-concepts-library/chonkfrog
sd-concepts-library/chop
sd-concepts-library/christo-person
sd-concepts-library/chuck-walton
sd-concepts-library/chucky
sd-concepts-library/chungus-poodl-pet
sd-concepts-library/cindlop
sd-concepts-library/collage-cutouts
sd-concepts-library/collage14
sd-concepts-library/collage3
sd-concepts-library/collage3-hubcity
sd-concepts-library/cologne
sd-concepts-library/color-page
sd-concepts-library/colossus
sd-concepts-library/command-and-conquer-remastered-cameos
sd-concepts-library/concept-art
sd-concepts-library/conner-fawcett-style
sd-concepts-library/conway-pirate
sd-concepts-library/coop-himmelblau
sd-concepts-library/coraline
sd-concepts-library/cornell-box
sd-concepts-library/cortana
sd-concepts-library/covid-19-rapid-test
sd-concepts-library/cow-uwu
sd-concepts-library/cowboy
sd-concepts-library/crazy-1
sd-concepts-library/crazy-2
sd-concepts-library/crb-portraits
sd-concepts-library/crb-surrealz
sd-concepts-library/crbart
sd-concepts-library/crested-gecko
sd-concepts-library/crinos-form-garou
sd-concepts-library/cry-baby-style
sd-concepts-library/crybaby-style-2-0
sd-concepts-library/csgo-awp-object
sd-concepts-library/csgo-awp-texture-map
sd-concepts-library/cubex
sd-concepts-library/cumbia-peruana
sd-concepts-library/cute-bear
sd-concepts-library/cute-cat
sd-concepts-library/cute-game-style
sd-concepts-library/cyberpunk-lucy
sd-concepts-library/dabotap
sd-concepts-library/dan-mumford
sd-concepts-library/dan-seagrave-art-style
sd-concepts-library/dark-penguin-pinguinanimations
sd-concepts-library/darkpenguinanimatronic
sd-concepts-library/darkplane
sd-concepts-library/david-firth-artstyle
sd-concepts-library/david-martinez-cyberpunk
sd-concepts-library/david-martinez-edgerunners
sd-concepts-library/david-moreno-architecture
sd-concepts-library/daycare-attendant-sun-fnaf
sd-concepts-library/ddattender
sd-concepts-library/degods
sd-concepts-library/degodsheavy
sd-concepts-library/depthmap
sd-concepts-library/depthmap-style
sd-concepts-library/design
sd-concepts-library/detectivedinosaur1
sd-concepts-library/diaosu-toy
sd-concepts-library/dicoo
sd-concepts-library/dicoo2
sd-concepts-library/dishonored-portrait-styles
sd-concepts-library/disquieting-muses
sd-concepts-library/ditko
sd-concepts-library/dlooak
sd-concepts-library/doc
sd-concepts-library/doener-red-line-art
sd-concepts-library/dog
sd-concepts-library/dog-django
sd-concepts-library/doge-pound
sd-concepts-library/dong-ho
sd-concepts-library/dong-ho2
sd-concepts-library/doose-s-realistic-art-style
sd-concepts-library/dq10-anrushia
sd-concepts-library/dr-livesey
sd-concepts-library/dr-strange
sd-concepts-library/dragonborn
sd-concepts-library/dreamcore
sd-concepts-library/dreamy-painting
sd-concepts-library/drive-scorpion-jacket
sd-concepts-library/dsmuses
sd-concepts-library/dtv-pkmn
sd-concepts-library/dullboy-caricature
sd-concepts-library/duranduran
sd-concepts-library/durer-style
sd-concepts-library/dyoudim-style
sd-concepts-library/early-mishima-kurone
sd-concepts-library/eastward
sd-concepts-library/eddie
sd-concepts-library/edgerunners-style
sd-concepts-library/edgerunners-style-v2
sd-concepts-library/el-salvador-style-style
sd-concepts-library/elegant-flower
sd-concepts-library/elspeth-tirel
sd-concepts-library/eru-chitanda-casual
sd-concepts-library/erwin-olaf-style
sd-concepts-library/ettblackteapot
sd-concepts-library/explosions-cat
sd-concepts-library/eye-of-agamotto
sd-concepts-library/f-22
sd-concepts-library/facadeplace
sd-concepts-library/fairy-tale-painting-style
sd-concepts-library/fairytale
sd-concepts-library/fang-yuan-001
sd-concepts-library/faraon-love-shady
sd-concepts-library/fasina
sd-concepts-library/felps
sd-concepts-library/female-kpop-singer
sd-concepts-library/fergal-cat
sd-concepts-library/filename-2
sd-concepts-library/fileteado-porteno
sd-concepts-library/final-fantasy-logo
sd-concepts-library/fireworks-over-water
sd-concepts-library/fish
sd-concepts-library/flag-ussr
sd-concepts-library/flatic
sd-concepts-library/floral
sd-concepts-library/fluid-acrylic-jellyfish-creatures-style-of-carl-ingram-art
sd-concepts-library/fnf-boyfriend
sd-concepts-library/fold-structure
sd-concepts-library/fox-purple
sd-concepts-library/fractal
sd-concepts-library/fractal-flame
sd-concepts-library/fractal-temple-style
sd-concepts-library/frank-frazetta
sd-concepts-library/franz-unterberger
sd-concepts-library/freddy-fazbear
sd-concepts-library/freefonix-style
sd-concepts-library/furrpopasthetic
sd-concepts-library/fursona
sd-concepts-library/fzk
sd-concepts-library/galaxy-explorer
sd-concepts-library/ganyu-genshin-impact
sd-concepts-library/garcon-the-cat
sd-concepts-library/garfield-pizza-plush
sd-concepts-library/garfield-pizza-plush-v2
sd-concepts-library/gba-fe-class-cards
sd-concepts-library/gba-pokemon-sprites
sd-concepts-library/geggin
sd-concepts-library/ggplot2
sd-concepts-library/ghost-style
sd-concepts-library/ghostproject-men
sd-concepts-library/gibasachan-v0
sd-concepts-library/gim
sd-concepts-library/gio
sd-concepts-library/giygas
sd-concepts-library/glass-pipe
sd-concepts-library/glass-prism-cube
sd-concepts-library/glow-forest
sd-concepts-library/goku
sd-concepts-library/gram-tops
sd-concepts-library/green-blue-shanshui
sd-concepts-library/green-tent
sd-concepts-library/grifter
sd-concepts-library/grisstyle
sd-concepts-library/grit-toy
sd-concepts-library/gt-color-paint-2
sd-concepts-library/gta5-artwork
sd-concepts-library/guttestreker
sd-concepts-library/gymnastics-leotard-v2
sd-concepts-library/half-life-2-dog
sd-concepts-library/handstand
sd-concepts-library/hanfu-anime-style
sd-concepts-library/happy-chaos
sd-concepts-library/happy-person12345
sd-concepts-library/happy-person12345-assets
sd-concepts-library/harley-quinn
sd-concepts-library/harmless-ai-1
sd-concepts-library/harmless-ai-house-style-1
sd-concepts-library/hd-emoji
sd-concepts-library/heather
sd-concepts-library/henjo-techno-show
sd-concepts-library/herge-style
sd-concepts-library/hiten-style-nao
sd-concepts-library/hitokomoru-style-nao
sd-concepts-library/hiyuki-chan
sd-concepts-library/hk-bamboo
sd-concepts-library/hk-betweenislands
sd-concepts-library/hk-bicycle
sd-concepts-library/hk-blackandwhite
sd-concepts-library/hk-breakfast
sd-concepts-library/hk-buses
sd-concepts-library/hk-clouds
sd-concepts-library/hk-goldbuddha
sd-concepts-library/hk-goldenlantern
sd-concepts-library/hk-hkisland
sd-concepts-library/hk-leaves
sd-concepts-library/hk-market
sd-concepts-library/hk-oldcamera
sd-concepts-library/hk-opencamera
sd-concepts-library/hk-peach
sd-concepts-library/hk-phonevax
sd-concepts-library/hk-streetpeople
sd-concepts-library/hk-vintage
sd-concepts-library/hoi4
sd-concepts-library/hoi4-leaders
sd-concepts-library/homestuck-sprite
sd-concepts-library/homestuck-troll
sd-concepts-library/hours-sentry-fade
sd-concepts-library/hours-style
sd-concepts-library/hrgiger-drmacabre
sd-concepts-library/huang-guang-jian
sd-concepts-library/huatli
sd-concepts-library/huayecai820-greyscale
sd-concepts-library/hub-city
sd-concepts-library/hubris-oshri
sd-concepts-library/huckleberry
sd-concepts-library/hydrasuit
sd-concepts-library/i-love-chaos
sd-concepts-library/ibere-thenorio
sd-concepts-library/ic0n
sd-concepts-library/ie-gravestone
sd-concepts-library/ikea-fabler
sd-concepts-library/illustration-style
sd-concepts-library/ilo-kunst
sd-concepts-library/ilya-shkipin
sd-concepts-library/im-poppy
sd-concepts-library/ina-art
sd-concepts-library/indian-watercolor-portraits
sd-concepts-library/indiana
sd-concepts-library/ingmar-bergman
sd-concepts-library/insidewhale
sd-concepts-library/interchanges
sd-concepts-library/inuyama-muneto-style-nao
sd-concepts-library/irasutoya
sd-concepts-library/iridescent-illustration-style
sd-concepts-library/iridescent-photo-style
sd-concepts-library/isabell-schulte-pv-pvii-3000steps
sd-concepts-library/isabell-schulte-pviii-1-image-style
sd-concepts-library/isabell-schulte-pviii-1024px-1500-steps-style
sd-concepts-library/isabell-schulte-pviii-12tiles-3000steps-style
sd-concepts-library/isabell-schulte-pviii-4-tiles-1-lr-3000-steps-style
sd-concepts-library/isabell-schulte-pviii-4-tiles-3-lr-5000-steps-style
sd-concepts-library/isabell-schulte-pviii-4tiles-500steps
sd-concepts-library/isabell-schulte-pviii-4tiles-6000steps
sd-concepts-library/isabell-schulte-pviii-style
sd-concepts-library/isometric-tile-test
sd-concepts-library/jacqueline-the-unicorn
sd-concepts-library/james-web-space-telescope
sd-concepts-library/jamie-hewlett-style
sd-concepts-library/jamiels
sd-concepts-library/jang-sung-rak-style
sd-concepts-library/jetsetdreamcastcovers
sd-concepts-library/jin-kisaragi
sd-concepts-library/jinjoon-lee-they
sd-concepts-library/jm-bergling-monogram
sd-concepts-library/joe-mad
sd-concepts-library/joe-whiteford-art-style
sd-concepts-library/joemad
sd-concepts-library/john-blanche
sd-concepts-library/johnny-silverhand
sd-concepts-library/jojo-bizzare-adventure-manga-lineart
sd-concepts-library/jos-de-kat
sd-concepts-library/junji-ito-artstyle
sd-concepts-library/kaleido
sd-concepts-library/kaneoya-sachiko
sd-concepts-library/kanovt
sd-concepts-library/kanv1
sd-concepts-library/karan-gloomy
sd-concepts-library/karl-s-lzx-1
sd-concepts-library/kasumin
sd-concepts-library/kawaii-colors
sd-concepts-library/kawaii-girl-plus-object
sd-concepts-library/kawaii-girl-plus-style
sd-concepts-library/kawaii-girl-plus-style-v1-1
sd-concepts-library/kay
sd-concepts-library/kaya-ghost-assasin
sd-concepts-library/ki
sd-concepts-library/kinda-sus
sd-concepts-library/kings-quest-agd
sd-concepts-library/kiora
sd-concepts-library/kira-sensei
sd-concepts-library/kirby
sd-concepts-library/klance
sd-concepts-library/kodakvision500t
sd-concepts-library/kogatan-shiny
sd-concepts-library/kogecha
sd-concepts-library/kojima-ayami
sd-concepts-library/koko-dog
sd-concepts-library/kuvshinov
sd-concepts-library/kysa-v-style
sd-concepts-library/laala-character
sd-concepts-library/larrette
sd-concepts-library/lavko
sd-concepts-library/lazytown-stephanie
sd-concepts-library/ldr
sd-concepts-library/ldrs
sd-concepts-library/led-toy
sd-concepts-library/lego-astronaut
sd-concepts-library/leica
sd-concepts-library/leif-jones
sd-concepts-library/lex
sd-concepts-library/liliana
sd-concepts-library/liliana-vess
sd-concepts-library/liminal-spaces-2-0
sd-concepts-library/liminalspaces
sd-concepts-library/line-art
sd-concepts-library/line-style
sd-concepts-library/linnopoke
sd-concepts-library/liquid-light
sd-concepts-library/liqwid-aquafarmer
sd-concepts-library/lizardman
sd-concepts-library/loab-character
sd-concepts-library/loab-style
sd-concepts-library/lofa
sd-concepts-library/logo-with-face-on-shield
sd-concepts-library/lolo
sd-concepts-library/looney-anime
sd-concepts-library/lost-rapper
sd-concepts-library/lphr-style
sd-concepts-library/lucario
sd-concepts-library/lucky-luke
sd-concepts-library/lugal-ki-en
sd-concepts-library/luinv2
sd-concepts-library/lula-13
sd-concepts-library/lumio
sd-concepts-library/lxj-o4
sd-concepts-library/m-geo
sd-concepts-library/m-geoo
sd-concepts-library/madhubani-art
sd-concepts-library/mafalda-character
sd-concepts-library/magic-pengel
sd-concepts-library/malika-favre-art-style
sd-concepts-library/manga-style
sd-concepts-library/marbling-art
sd-concepts-library/margo
sd-concepts-library/marty
sd-concepts-library/marty6
sd-concepts-library/mass
sd-concepts-library/masyanya
sd-concepts-library/masyunya
sd-concepts-library/mate
sd-concepts-library/matthew-stone
sd-concepts-library/mattvidpro
sd-concepts-library/maurice-quentin-de-la-tour-style
sd-concepts-library/maus
sd-concepts-library/max-foley
sd-concepts-library/mayor-richard-irvin
sd-concepts-library/mechasoulall
sd-concepts-library/medazzaland
sd-concepts-library/memnarch-mtg
sd-concepts-library/metagabe
sd-concepts-library/meyoco
sd-concepts-library/meze-audio-elite-headphones
sd-concepts-library/midjourney-style
sd-concepts-library/mikako-method
sd-concepts-library/mikako-methodi2i
sd-concepts-library/miko-3-robot
sd-concepts-library/milady
sd-concepts-library/mildemelwe-style
sd-concepts-library/million-live-akane-15k
sd-concepts-library/million-live-akane-3k
sd-concepts-library/million-live-akane-shifuku-3k
sd-concepts-library/million-live-spade-q-object-3k
sd-concepts-library/million-live-spade-q-style-3k
sd-concepts-library/minecraft-concept-art
sd-concepts-library/mishima-kurone
sd-concepts-library/mizkif
sd-concepts-library/moeb-style
sd-concepts-library/moebius
sd-concepts-library/mokoko
sd-concepts-library/mokoko-seed
sd-concepts-library/monster-girl
sd-concepts-library/monster-toy
sd-concepts-library/monte-novo
sd-concepts-library/moo-moo
sd-concepts-library/morino-hon-style
sd-concepts-library/moxxi
sd-concepts-library/msg
sd-concepts-library/mtg-card
sd-concepts-library/mtl-longsky
sd-concepts-library/mu-sadr
sd-concepts-library/munch-leaks-style
sd-concepts-library/museum-by-coop-himmelblau
sd-concepts-library/muxoyara
sd-concepts-library/my-hero-academia-style
sd-concepts-library/my-mug
sd-concepts-library/mycat
sd-concepts-library/mystical-nature
sd-concepts-library/naf
sd-concepts-library/nahiri
sd-concepts-library/namine-ritsu
sd-concepts-library/naoki-saito
sd-concepts-library/nard-style
sd-concepts-library/naruto
sd-concepts-library/natasha-johnston
sd-concepts-library/nathan-wyatt
sd-concepts-library/naval-portrait
sd-concepts-library/nazuna
sd-concepts-library/nebula
sd-concepts-library/ned-flanders
sd-concepts-library/neon-pastel
sd-concepts-library/new-priests
sd-concepts-library/nic-papercuts
sd-concepts-library/nikodim
sd-concepts-library/nissa-revane
sd-concepts-library/nixeu
sd-concepts-library/noggles
sd-concepts-library/nomad
sd-concepts-library/nouns-glasses
sd-concepts-library/obama-based-on-xi
sd-concepts-library/obama-self-2
sd-concepts-library/og-mox-style
sd-concepts-library/ohisashiburi-style
sd-concepts-library/oleg-kuvaev
sd-concepts-library/olli-olli
sd-concepts-library/on-kawara
sd-concepts-library/one-line-drawing
sd-concepts-library/onepunchman
sd-concepts-library/onzpo
sd-concepts-library/orangejacket
sd-concepts-library/ori
sd-concepts-library/ori-toor
sd-concepts-library/orientalist-art
sd-concepts-library/osaka-jyo
sd-concepts-library/osaka-jyo2
sd-concepts-library/osrsmini2
sd-concepts-library/osrstiny
sd-concepts-library/other-mother
sd-concepts-library/ouroboros
sd-concepts-library/outfit-items
sd-concepts-library/overprettified
sd-concepts-library/owl-house
sd-concepts-library/painted-by-silver-of-999
sd-concepts-library/painted-by-silver-of-999-2
sd-concepts-library/painted-student
sd-concepts-library/painting
sd-concepts-library/pantone-milk
sd-concepts-library/paolo-bonolis
sd-concepts-library/party-girl
sd-concepts-library/pascalsibertin
sd-concepts-library/pastelartstyle
sd-concepts-library/paul-noir
sd-concepts-library/pen-ink-portraits-bennorthen
sd-concepts-library/phan
sd-concepts-library/phan-s-collage
sd-concepts-library/phc
sd-concepts-library/phoenix-01
sd-concepts-library/pineda-david
sd-concepts-library/pink-beast-pastelae-style
sd-concepts-library/pintu
sd-concepts-library/pion-by-august-semionov
sd-concepts-library/piotr-jablonski
sd-concepts-library/pixel-mania
sd-concepts-library/pixel-toy
sd-concepts-library/pjablonski-style
sd-concepts-library/plant-style
sd-concepts-library/plen-ki-mun
sd-concepts-library/pokemon-conquest-sprites
sd-concepts-library/pool-test
sd-concepts-library/poolrooms
sd-concepts-library/poring-ragnarok-online
sd-concepts-library/poutine-dish
sd-concepts-library/princess-knight-art
sd-concepts-library/progress-chip
sd-concepts-library/puerquis-toy
sd-concepts-library/purplefishli
sd-concepts-library/pyramidheadcosplay
sd-concepts-library/qpt-atrium
sd-concepts-library/quiesel
sd-concepts-library/r-crumb-style
sd-concepts-library/rahkshi-bionicle
sd-concepts-library/raichu
sd-concepts-library/rail-scene
sd-concepts-library/rail-scene-style
sd-concepts-library/ralph-mcquarrie
sd-concepts-library/ransom
sd-concepts-library/rayne-weynolds
sd-concepts-library/rcrumb-portraits-style
sd-concepts-library/rd-chaos
sd-concepts-library/rd-paintings
sd-concepts-library/red-glasses
sd-concepts-library/reeducation-camp
sd-concepts-library/reksio-dog
sd-concepts-library/rektguy
sd-concepts-library/remert
sd-concepts-library/renalla
sd-concepts-library/repeat
sd-concepts-library/retro-girl
sd-concepts-library/retro-mecha-rangers
sd-concepts-library/retropixelart-pinguin
sd-concepts-library/rex-deno
sd-concepts-library/rhizomuse-machine-bionic-sculpture
sd-concepts-library/ricar
sd-concepts-library/rickyart
sd-concepts-library/rico-face
sd-concepts-library/riker-doll
sd-concepts-library/rikiart
sd-concepts-library/rikiboy-art
sd-concepts-library/rilakkuma
sd-concepts-library/rishusei-style
sd-concepts-library/rj-palmer
sd-concepts-library/rl-pkmn-test
sd-concepts-library/road-to-ruin
sd-concepts-library/robertnava
sd-concepts-library/roblox-avatar
sd-concepts-library/roy-lichtenstein
sd-concepts-library/ruan-jia
sd-concepts-library/russian
sd-concepts-library/s1m-naoto-ohshima
sd-concepts-library/saheeli-rai
sd-concepts-library/sakimi-style
sd-concepts-library/salmonid
sd-concepts-library/sam-yang
sd-concepts-library/sanguo-guanyu
sd-concepts-library/sas-style
sd-concepts-library/scarlet-witch
sd-concepts-library/schloss-mosigkau
sd-concepts-library/scrap-style
sd-concepts-library/scratch-project
sd-concepts-library/sculptural-style
sd-concepts-library/sd-concepts-library-uma-meme
sd-concepts-library/seamless-ground
sd-concepts-library/selezneva-alisa
sd-concepts-library/sem-mac2n
sd-concepts-library/senneca
sd-concepts-library/seraphimmoonshadow-art
sd-concepts-library/sewerslvt
sd-concepts-library/she-hulk-law-art
sd-concepts-library/she-mask
sd-concepts-library/sherhook-painting
sd-concepts-library/sherhook-painting-v2
sd-concepts-library/shev-linocut
sd-concepts-library/shigure-ui-style
sd-concepts-library/shiny-polyman
sd-concepts-library/shrunken-head
sd-concepts-library/shu-doll
sd-concepts-library/shvoren-style
sd-concepts-library/sims-2-portrait
sd-concepts-library/singsing
sd-concepts-library/singsing-doll
sd-concepts-library/sintez-ico
sd-concepts-library/skyfalls
sd-concepts-library/slm
sd-concepts-library/smarties
sd-concepts-library/smiling-friend-style
sd-concepts-library/smooth-pencils
sd-concepts-library/smurf-style
sd-concepts-library/smw-map
sd-concepts-library/society-finch
sd-concepts-library/sorami-style
sd-concepts-library/spider-gwen
sd-concepts-library/spritual-monsters
sd-concepts-library/stable-diffusion-conceptualizer
sd-concepts-library/star-tours-posters
sd-concepts-library/stardew-valley-pixel-art
sd-concepts-library/starhavenmachinegods
sd-concepts-library/sterling-archer
sd-concepts-library/stretch-re1-robot
sd-concepts-library/stuffed-penguin-toy
sd-concepts-library/style-of-marc-allante
sd-concepts-library/summie-style
sd-concepts-library/sunfish
sd-concepts-library/super-nintendo-cartridge
sd-concepts-library/supitcha-mask
sd-concepts-library/sushi-pixel
sd-concepts-library/swamp-choe-2
sd-concepts-library/t-skrang
sd-concepts-library/takuji-kawano
sd-concepts-library/tamiyo
sd-concepts-library/tangles
sd-concepts-library/tb303
sd-concepts-library/tcirle
sd-concepts-library/teelip-ir-landscape
sd-concepts-library/teferi
sd-concepts-library/tela-lenca
sd-concepts-library/tela-lenca2
sd-concepts-library/terraria-style
sd-concepts-library/tesla-bot
sd-concepts-library/test
sd-concepts-library/test-epson
sd-concepts-library/test2
sd-concepts-library/testing
sd-concepts-library/thalasin
sd-concepts-library/thegeneral
sd-concepts-library/thorneworks
sd-concepts-library/threestooges
sd-concepts-library/thunderdome-cover
sd-concepts-library/thunderdome-covers
sd-concepts-library/ti-junglepunk-v0
sd-concepts-library/tili-concept
sd-concepts-library/titan-robot
sd-concepts-library/tnj
sd-concepts-library/toho-pixel
sd-concepts-library/tomcat
sd-concepts-library/tonal1
sd-concepts-library/tony-diterlizzi-s-planescape-art
sd-concepts-library/towerplace
sd-concepts-library/toy
sd-concepts-library/toy-bonnie-plush
sd-concepts-library/toyota-sera
sd-concepts-library/transmutation-circles
sd-concepts-library/trash-polka-artstyle
sd-concepts-library/travis-bedel
sd-concepts-library/trigger-studio
sd-concepts-library/trust-support
sd-concepts-library/trypophobia
sd-concepts-library/ttte
sd-concepts-library/tubby
sd-concepts-library/tubby-cats
sd-concepts-library/tudisco
sd-concepts-library/turtlepics
sd-concepts-library/type
sd-concepts-library/ugly-sonic
sd-concepts-library/uliana-kudinova
sd-concepts-library/uma
sd-concepts-library/uma-clean-object
sd-concepts-library/uma-meme
sd-concepts-library/uma-meme-style
sd-concepts-library/uma-style-classic
sd-concepts-library/unfinished-building
sd-concepts-library/urivoldemort
sd-concepts-library/uzumaki
sd-concepts-library/valorantstyle
sd-concepts-library/vb-mox
sd-concepts-library/vcr-classique
sd-concepts-library/venice
sd-concepts-library/vespertine
sd-concepts-library/victor-narm
sd-concepts-library/vietstoneking
sd-concepts-library/vivien-reid
sd-concepts-library/vkuoo1
sd-concepts-library/vraska
sd-concepts-library/w3u
sd-concepts-library/walter-wick-photography
sd-concepts-library/warhammer-40k-drawing-style
sd-concepts-library/waterfallshadow
sd-concepts-library/wayne-reynolds-character
sd-concepts-library/wedding
sd-concepts-library/wedding-HandPainted
sd-concepts-library/werebloops
sd-concepts-library/wheatland
sd-concepts-library/wheatland-arknight
sd-concepts-library/wheelchair
sd-concepts-library/wildkat
sd-concepts-library/willy-hd
sd-concepts-library/wire-angels
sd-concepts-library/wish-artist-stile
sd-concepts-library/wlop-style
sd-concepts-library/wojak
sd-concepts-library/wojaks-now
sd-concepts-library/wojaks-now-now-now
sd-concepts-library/xatu
sd-concepts-library/xatu2
sd-concepts-library/xbh
sd-concepts-library/xi
sd-concepts-library/xidiversity
sd-concepts-library/xioboma
sd-concepts-library/xuna
sd-concepts-library/xyz
sd-concepts-library/yb-anime
sd-concepts-library/yerba-mate
sd-concepts-library/yesdelete
sd-concepts-library/yf21
sd-concepts-library/yilanov2
sd-concepts-library/yinit
sd-concepts-library/yoji-shinkawa-style
sd-concepts-library/yolandi-visser
sd-concepts-library/yoshi
sd-concepts-library/youpi2
sd-concepts-library/youtooz-candy
sd-concepts-library/yuji-himukai-style
sd-concepts-library/zaney
sd-concepts-library/zaneypixelz
sd-concepts-library/zdenek-art
sd-concepts-library/zero
sd-concepts-library/zero-bottle
sd-concepts-library/zero-suit-samus
sd-concepts-library/zillertal-can
sd-concepts-library/zizigooloo
sd-concepts-library/zk
sd-concepts-library/zoroark

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model:
base_learning_rate: 5.0e-03
target: ldm.models.diffusion.ddpm.LatentDiffusion
params:
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: image
cond_stage_key: caption
image_size: 64
channels: 4
cond_stage_trainable: true # Note: different from the one we trained before
conditioning_key: crossattn
monitor: val/loss_simple_ema
scale_factor: 0.18215
use_ema: False
embedding_reg_weight: 0.0
personalization_config:
target: ldm.modules.embedding_manager.EmbeddingManager
params:
placeholder_strings: ["*"]
initializer_words: ["sculpture"]
per_image_tokens: false
num_vectors_per_token: 1
progressive_words: False
unet_config:
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
params:
image_size: 32 # unused
in_channels: 4
out_channels: 4
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_heads: 8
use_spatial_transformer: True
transformer_depth: 1
context_dim: 768
use_checkpoint: True
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
double_z: true
z_channels: 4
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: torch.nn.Identity
cond_stage_config:
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
data:
target: main.DataModuleFromConfig
params:
batch_size: 1
num_workers: 2
wrap: false
train:
target: ldm.data.personalized.PersonalizedBase
params:
size: 512
set: train
per_image_tokens: false
repeats: 100
validation:
target: ldm.data.personalized.PersonalizedBase
params:
size: 512
set: val
per_image_tokens: false
repeats: 10
lightning:
modelcheckpoint:
params:
every_n_train_steps: 500
callbacks:
image_logger:
target: main.ImageLogger
params:
batch_frequency: 500
max_images: 8
increase_log_steps: False
trainer:
benchmark: True
max_steps: 4000000
# max_steps: 4000

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model:
base_learning_rate: 5.0e-03
target: ldm.models.diffusion.ddpm.LatentDiffusion
params:
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: image
cond_stage_key: caption
image_size: 64
channels: 4
cond_stage_trainable: true # Note: different from the one we trained before
conditioning_key: crossattn
monitor: val/loss_simple_ema
scale_factor: 0.18215
use_ema: False
embedding_reg_weight: 0.0
personalization_config:
target: ldm.modules.embedding_manager.EmbeddingManager
params:
placeholder_strings: ["*"]
initializer_words: ["painting"]
per_image_tokens: false
num_vectors_per_token: 1
unet_config:
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
params:
image_size: 32 # unused
in_channels: 4
out_channels: 4
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_heads: 8
use_spatial_transformer: True
transformer_depth: 1
context_dim: 768
use_checkpoint: True
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
double_z: true
z_channels: 4
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: torch.nn.Identity
cond_stage_config:
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
data:
target: main.DataModuleFromConfig
params:
batch_size: 2
num_workers: 16
wrap: false
train:
target: ldm.data.personalized_style.PersonalizedBase
params:
size: 512
set: train
per_image_tokens: false
repeats: 100
validation:
target: ldm.data.personalized_style.PersonalizedBase
params:
size: 512
set: val
per_image_tokens: false
repeats: 10
lightning:
callbacks:
image_logger:
target: main.ImageLogger
params:
batch_frequency: 500
max_images: 8
increase_log_steps: False
trainer:
benchmark: True

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model:
base_learning_rate: 1.0e-04
target: ldm.models.diffusion.ddpm.LatentDiffusion
params:
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: "jpg"
cond_stage_key: "txt"
image_size: 64
channels: 4
cond_stage_trainable: false # Note: different from the one we trained before
conditioning_key: crossattn
monitor: val/loss_simple_ema
scale_factor: 0.18215
use_ema: False
scheduler_config: # 10000 warmup steps
target: ldm.lr_scheduler.LambdaLinearScheduler
params:
warm_up_steps: [ 10000 ]
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
f_start: [ 1.e-6 ]
f_max: [ 1. ]
f_min: [ 1. ]
personalization_config:
target: ldm.modules.embedding_manager.EmbeddingManager
params:
placeholder_strings: ["*"]
initializer_words: ['sculpture']
per_image_tokens: false
num_vectors_per_token: 1
progressive_words: False
unet_config:
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
params:
image_size: 32 # unused
in_channels: 4
out_channels: 4
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_heads: 8
use_spatial_transformer: True
transformer_depth: 1
context_dim: 768
use_checkpoint: True
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
double_z: true
z_channels: 4
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: torch.nn.Identity
cond_stage_config:
target: ldm.modules.encoders.modules.WeightedFrozenCLIPEmbedder

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model:
base_learning_rate: 7.5e-05
target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion
params:
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: "jpg"
cond_stage_key: "txt"
image_size: 64
channels: 4
cond_stage_trainable: false # Note: different from the one we trained before
conditioning_key: hybrid # important
monitor: val/loss_simple_ema
scale_factor: 0.18215
finetune_keys: null
scheduler_config: # 10000 warmup steps
target: ldm.lr_scheduler.LambdaLinearScheduler
params:
warm_up_steps: [ 2500 ] # NOTE for resuming. use 10000 if starting from scratch
cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases
f_start: [ 1.e-6 ]
f_max: [ 1. ]
f_min: [ 1. ]
personalization_config:
target: ldm.modules.embedding_manager.EmbeddingManager
params:
placeholder_strings: ["*"]
initializer_words: ['sculpture']
per_image_tokens: false
num_vectors_per_token: 8
progressive_words: False
unet_config:
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
params:
image_size: 32 # unused
in_channels: 9 # 4 data + 4 downscaled image + 1 mask
out_channels: 4
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_heads: 8
use_spatial_transformer: True
transformer_depth: 1
context_dim: 768
use_checkpoint: True
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
double_z: true
z_channels: 4
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: torch.nn.Identity
cond_stage_config:
target: ldm.modules.encoders.modules.WeightedFrozenCLIPEmbedder

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model:
base_learning_rate: 5.0e-03
target: ldm.models.diffusion.ddpm.LatentDiffusion
params:
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: image
cond_stage_key: caption
image_size: 64
channels: 4
cond_stage_trainable: true # Note: different from the one we trained before
conditioning_key: crossattn
monitor: val/loss_simple_ema
scale_factor: 0.18215
use_ema: False
embedding_reg_weight: 0.0
personalization_config:
target: ldm.modules.embedding_manager.EmbeddingManager
params:
placeholder_strings: ["*"]
initializer_words: ['sculpture']
per_image_tokens: false
num_vectors_per_token: 6
progressive_words: False
unet_config:
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
params:
image_size: 32 # unused
in_channels: 4
out_channels: 4
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_heads: 8
use_spatial_transformer: True
transformer_depth: 1
context_dim: 768
use_checkpoint: True
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
double_z: true
z_channels: 4
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: torch.nn.Identity
cond_stage_config:
target: ldm.modules.encoders.modules.FrozenCLIPEmbedder
data:
target: main.DataModuleFromConfig
params:
batch_size: 1
num_workers: 2
wrap: false
train:
target: ldm.data.personalized.PersonalizedBase
params:
size: 512
set: train
per_image_tokens: false
repeats: 100
validation:
target: ldm.data.personalized.PersonalizedBase
params:
size: 512
set: val
per_image_tokens: false
repeats: 10
lightning:
modelcheckpoint:
params:
every_n_train_steps: 500
callbacks:
image_logger:
target: main.ImageLogger
params:
batch_frequency: 500
max_images: 5
increase_log_steps: False
trainer:
benchmark: False
max_steps: 6200
# max_steps: 4000

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@echo off
setlocal EnableExtensions EnableDelayedExpansion
PUSHD "%~dp0"
set INVOKE_AI_VERSION=latest
set arg=%1
if "%arg%" neq "" (
if "%arg:~0,2%" equ "/?" (
echo Usage: update.bat ^<release name or branch^>
echo Updates InvokeAI to use the indicated version of the code base.
echo Find the version or branch for the release you want, and pass it as the argument.
echo For example '.\update.bat v2.2.5' for release 2.2.5.
echo '.\update.bat main' for the latest development version
echo.
echo If no argument provided then will install the most recent release, equivalent to
echo '.\update.bat latest'
exit /b
) else (
set INVOKE_AI_VERSION=%arg%
)
)
set INVOKE_AI_SRC="https://github.com/invoke-ai/InvokeAI/archive/!INVOKE_AI_VERSION!.zip"
set INVOKE_AI_DEP=https://raw.githubusercontent.com/invoke-ai/InvokeAI/!INVOKE_AI_VERSION!/environments-and-requirements/requirements-base.txt
call curl -I "%INVOKE_AI_DEP%" -fs >.tmp.out
if %errorlevel% neq 0 (
echo '!INVOKE_AI_VERSION!' is not a known branch name or tag. Please check the version and try again.
echo "Press any key to continue"
pause
exit /b
)
del .tmp.out
echo This script will update InvokeAI and all its dependencies to !INVOKE_AI_SRC!.
echo If you do not want to do this, press control-C now!
pause
call curl -L "%INVOKE_AI_DEP%" > environments-and-requirements/requirements-base.txt
call .venv\Scripts\activate.bat
call .venv\Scripts\python -mpip install -r requirements.txt
if %errorlevel% neq 0 (
echo Installation of requirements failed. See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting for suggestions.
pause
exit /b
)
call .venv\Scripts\python -mpip install !INVOKE_AI_SRC!
if %errorlevel% neq 0 (
echo Installation of InvokeAI failed. See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting for suggestions.
pause
exit /b
)
@rem call .venv\Scripts\python .venv\Scripts\configure_invokeai.py --root=.
@rem if %errorlevel% neq 0 (
@rem echo Configuration InvokeAI failed. See https://invoke-ai.github.io/InvokeAI/installation/INSTALL_AUTOMATED/#troubleshooting for suggestions.
@rem pause
@rem exit /b
@rem )
echo InvokeAI has been updated to '%INVOKE_AI_VERSION%'
echo "Press any key to continue"
pause
endlocal

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#!/usr/bin/env bash
set -eu
if [ $# -ge 1 ] && [ "${1:0:2}" == "-h" ]; then
echo "Usage: update.sh <release>"
echo "Updates InvokeAI to use the indicated version of the code base."
echo "Find the version or branch for the release you want, and pass it as the argument."
echo "For example: update.sh v2.2.5 for release 2.2.5."
echo " update.sh main for the current development version."
echo ""
echo "If no argument provided then will install the version tagged with 'latest', equivalent to"
echo "update.sh latest"
exit -1
fi
INVOKE_AI_VERSION=${1:-latest}
INVOKE_AI_SRC="https://github.com/invoke-ai/InvokeAI/archive/$INVOKE_AI_VERSION.zip"
INVOKE_AI_DEP=https://raw.githubusercontent.com/invoke-ai/InvokeAI/$INVOKE_AI_VERSION/environments-and-requirements/requirements-base.txt
# ensure we're in the correct folder in case user's CWD is somewhere else
scriptdir=$(dirname "$0")
cd "$scriptdir"
function _err_exit {
if test "$1" -ne 0
then
echo "Something went wrong while installing InvokeAI and/or its requirements."
echo "Update cannot continue. Please report this error to https://github.com/invoke-ai/InvokeAI/issues"
echo -e "Error code $1; Error caught was '$2'"
read -p "Press any key to exit..."
exit
fi
}
if ! curl -I "$INVOKE_AI_DEP" -fs >/dev/null; then
echo \'$INVOKE_AI_VERSION\' is not a known branch name or tag. Please check the version and try again.
exit
fi
echo This script will update InvokeAI and all its dependencies to version \'$INVOKE_AI_VERSION\'.
echo If you do not want to do this, press control-C now!
read -p "Press any key to continue, or CTRL-C to exit..."
curl -L "$INVOKE_AI_DEP" > environments-and-requirements/requirements-base.txt
. .venv/bin/activate
./.venv/bin/python -mpip install -r requirements.txt
_err_exit $? "The pip program failed to install InvokeAI's requirements."
./.venv/bin/python -mpip install $INVOKE_AI_SRC
_err_exit $? "The pip program failed to install InvokeAI."
echo InvokeAI updated to \'$INVOKE_AI_VERSION\'
# ./.venv/bin/python .venv/bin/configure_invokeai.py --root .
# _err_exit $? "The configure script failed to run successfully."

2
coredns/Makefile
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@ -1,3 +1,5 @@
.PHONY: control
# debian files were taking from upstream:
# git clone https://github.com/coredns/debian.git