remove deprecated binary installer

quote output, embedding and autoscan directores in invokeai.init (#2827 )
This should prevent the errors that users are seeing with spaces in the file paths
2026-01-17 14:28:03 -05:00 · 2023-02-27 00:24:52 -05:00 · 2023-02-27 00:17:37 -05:00 · 2023-02-26 23:54:20 -05:00 · 2023-02-26 23:54:06 -05:00 · 2023-02-26 23:02:18 -05:00
62 changed files with 973 additions and 9353 deletions
--- a/.github/workflows/pypi-release.yml
+++ b/.github/workflows/pypi-release.yml
@@ -28,7 +28,7 @@ jobs:
        run: twine check dist/*

      - name: check PyPI versions
-        if: github.ref == 'refs/heads/main'
+        if: github.ref == 'refs/heads/main' || github.ref == 'refs/heads/v2.3'
        run: |
          pip install --upgrade requests
          python -c "\
--- a/README.md
+++ b/README.md
@@ -259,7 +259,7 @@ cleanup, testing, or code reviews, is very much encouraged to do so.

 To join, just raise your hand on the InvokeAI Discord server (#dev-chat) or the GitHub discussion board.

-If you'd like to help with localization, please register on [Weblate][translation status link]. If you want add a new language, please let us know which language and we will add it to the Weblate project.
+If you'd like to help with translation, please see our [translation guide](docs/other/TRANSLATION.md).

 If you are unfamiliar with how
 to contribute to GitHub projects, here is a
--- a/binary_installer/WinLongPathsEnabled.reg
+++ b/binary_installer/WinLongPathsEnabled.reg
--- a/binary_installer/install.bat.in
+++ b/binary_installer/install.bat.in
@@ -1,164 +0,0 @@
-@echo off
-
-@rem This script will install git (if not found on the PATH variable)
-@rem  using micromamba (an 8mb static-linked single-file binary, conda replacement).
-@rem For users who already have git, this step will be skipped.
-
-@rem Next, it'll download the project's source code.
-@rem Then it will download a self-contained, standalone Python and unpack it.
-@rem Finally, it'll create the Python virtual environment and preload the models.
-
-@rem This enables a user to install this project without manually installing git or Python
-
-@rem change to the script's directory
-PUSHD "%~dp0"
-
-set "no_cache_dir=--no-cache-dir"
-if "%1" == "use-cache" (
-    set "no_cache_dir="
-)
-
-echo ***** Installing InvokeAI.. *****
-@rem Config
-set INSTALL_ENV_DIR=%cd%\installer_files\env
-@rem https://mamba.readthedocs.io/en/latest/installation.html
-set MICROMAMBA_DOWNLOAD_URL=https://github.com/cmdr2/stable-diffusion-ui/releases/download/v1.1/micromamba.exe
-set RELEASE_URL=https://github.com/invoke-ai/InvokeAI
-set RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
-set PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
-set PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-x86_64-pc-windows-msvc-shared-install_only.tar.gz
-
-set PACKAGES_TO_INSTALL=
-
-call git --version >.tmp1 2>.tmp2
-if "%ERRORLEVEL%" NEQ "0" set PACKAGES_TO_INSTALL=%PACKAGES_TO_INSTALL% git
-
-@rem Cleanup
-del /q .tmp1 .tmp2
-
-@rem (if necessary) install git into a contained environment
-if "%PACKAGES_TO_INSTALL%" NEQ "" (
-    @rem download micromamba
-    echo ***** Downloading micromamba from %MICROMAMBA_DOWNLOAD_URL% to micromamba.exe *****
-
-    call curl -L "%MICROMAMBA_DOWNLOAD_URL%" > micromamba.exe
-
-    @rem test the mamba binary
-    echo ***** Micromamba version:  *****
-    call micromamba.exe --version
-
-    @rem create the installer env
-    if not exist "%INSTALL_ENV_DIR%" (
-        call micromamba.exe create -y --prefix "%INSTALL_ENV_DIR%"
-    )
-
-    echo ***** Packages to install:%PACKAGES_TO_INSTALL% *****
-
-    call micromamba.exe install -y --prefix "%INSTALL_ENV_DIR%" -c conda-forge %PACKAGES_TO_INSTALL%
-
-    if not exist "%INSTALL_ENV_DIR%" (
-        echo ----- There was a problem while installing "%PACKAGES_TO_INSTALL%" using micromamba. Cannot continue. -----
-        pause
-        exit /b
-    )
-)
-
-del /q micromamba.exe
-
-@rem For 'git' only
-set PATH=%INSTALL_ENV_DIR%\Library\bin;%PATH%
-
-@rem Download/unpack/clean up InvokeAI release sourceball
-set err_msg=----- InvokeAI source download failed -----
-echo Trying to download "%RELEASE_URL%%RELEASE_SOURCEBALL%"
-curl -L %RELEASE_URL%%RELEASE_SOURCEBALL% --output InvokeAI.tgz
-if %errorlevel% neq 0 goto err_exit
-
-set err_msg=----- InvokeAI source unpack failed -----
-tar -zxf InvokeAI.tgz
-if %errorlevel% neq 0 goto err_exit
-
-del /q InvokeAI.tgz
-
-set err_msg=----- InvokeAI source copy failed -----
-cd InvokeAI-*
-xcopy . .. /e /h
-if %errorlevel% neq 0 goto err_exit
-cd ..
-
-@rem cleanup
-for /f %%i in ('dir /b InvokeAI-*') do rd /s /q %%i
-rd /s /q .dev_scripts .github docker-build tests
-del /q requirements.in requirements-mkdocs.txt shell.nix
-
-echo ***** Unpacked InvokeAI source *****
-
-@rem Download/unpack/clean up python-build-standalone
-set err_msg=----- Python download failed -----
-curl -L %PYTHON_BUILD_STANDALONE_URL%/%PYTHON_BUILD_STANDALONE% --output python.tgz
-if %errorlevel% neq 0 goto err_exit
-
-set err_msg=----- Python unpack failed -----
-tar -zxf python.tgz
-if %errorlevel% neq 0 goto err_exit
-
-del /q python.tgz
-
-echo ***** Unpacked python-build-standalone *****
-
-@rem create venv
-set err_msg=----- problem creating venv -----
-.\python\python -E -s -m venv .venv
-if %errorlevel% neq 0 goto err_exit
-call .venv\Scripts\activate.bat
-
-echo ***** Created Python virtual environment *****
-
-@rem Print venv's Python version
-set err_msg=----- problem calling venv's python -----
-echo We're running under
-.venv\Scripts\python --version
-if %errorlevel% neq 0 goto err_exit
-
-set err_msg=----- pip update failed -----
-.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location --upgrade pip wheel
-if %errorlevel% neq 0 goto err_exit
-
-echo ***** Updated pip and wheel *****
-
-set err_msg=----- requirements file copy failed -----
-copy binary_installer\py3.10-windows-x86_64-cuda-reqs.txt requirements.txt
-if %errorlevel% neq 0 goto err_exit
-
-set err_msg=----- main pip install failed -----
-.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location -r requirements.txt
-if %errorlevel% neq 0 goto err_exit
-
-echo ***** Installed Python dependencies *****
-
-set err_msg=----- InvokeAI setup failed -----
-.venv\Scripts\python -m pip install %no_cache_dir% --no-warn-script-location -e .
-if %errorlevel% neq 0 goto err_exit
-
-copy binary_installer\invoke.bat.in .\invoke.bat
-echo ***** Installed invoke launcher script ******
-
-@rem more cleanup
-rd /s /q binary_installer installer_files
-
-@rem preload the models
-call .venv\Scripts\python ldm\invoke\config\invokeai_configure.py
-set err_msg=----- model download clone failed -----
-if %errorlevel% neq 0 goto err_exit
-deactivate
-
-echo ***** Finished downloading models *****
-
-echo All done! Execute the file invoke.bat in this directory to start InvokeAI
-pause
-exit
-
-:err_exit
-    echo %err_msg%
-    pause
-    exit
--- a/binary_installer/install.sh.in
+++ b/binary_installer/install.sh.in
@@ -1,235 +0,0 @@
-#!/usr/bin/env bash
-
-# ensure we're in the correct folder in case user's CWD is somewhere else
-scriptdir=$(dirname "$0")
-cd "$scriptdir"
-
-set -euo pipefail
-IFS=$'\n\t'
-
-function _err_exit {
-    if test "$1" -ne 0
-    then
-        echo -e "Error code $1; Error caught was '$2'"
-        read -p "Press any key to exit..."
-        exit
-    fi
-}
-
-# This script will install git (if not found on the PATH variable)
-#  using micromamba (an 8mb static-linked single-file binary, conda replacement).
-# For users who already have git, this step will be skipped.
-
-# Next, it'll download the project's source code.
-# Then it will download a self-contained, standalone Python and unpack it.
-# Finally, it'll create the Python virtual environment and preload the models.
-
-# This enables a user to install this project without manually installing git or Python
-
-echo -e "\n***** Installing InvokeAI into $(pwd)... *****\n"
-
-export no_cache_dir="--no-cache-dir"
-if [ $# -ge 1 ]; then
-    if [ "$1" = "use-cache" ]; then
-        export no_cache_dir=""
-    fi
-fi
-
-
-OS_NAME=$(uname -s)
-case "${OS_NAME}" in
-    Linux*)     OS_NAME="linux";;
-    Darwin*)    OS_NAME="darwin";;
-    *)          echo -e "\n----- Unknown OS: $OS_NAME! This script runs only on Linux or macOS -----\n" && exit
-esac
-
-OS_ARCH=$(uname -m)
-case "${OS_ARCH}" in
-    x86_64*)    ;;
-    arm64*)     ;;
-    *)          echo -e "\n----- Unknown system architecture: $OS_ARCH! This script runs only on x86_64 or arm64 -----\n" && exit
-esac
-
-# https://mamba.readthedocs.io/en/latest/installation.html
-MAMBA_OS_NAME=$OS_NAME
-MAMBA_ARCH=$OS_ARCH
-if [ "$OS_NAME" == "darwin" ]; then
-    MAMBA_OS_NAME="osx"
-fi
-
-if [ "$OS_ARCH" == "linux" ]; then
-    MAMBA_ARCH="aarch64"
-fi
-
-if [ "$OS_ARCH" == "x86_64" ]; then
-    MAMBA_ARCH="64"
-fi
-
-PY_ARCH=$OS_ARCH
-if [ "$OS_ARCH" == "arm64" ]; then
-    PY_ARCH="aarch64"
-fi
-
-# Compute device ('cd' segment of reqs files) detect goes here
-# This needs a ton of work
-# Suggestions:
-#   - lspci
-#   - check $PATH for nvidia-smi, gtt CUDA/GPU version from output
-#   - Surely there's a similar utility for AMD?
-CD="cuda"
-if [ "$OS_NAME" == "darwin" ] && [ "$OS_ARCH" == "arm64" ]; then
-    CD="mps"
-fi
-
-# config
-INSTALL_ENV_DIR="$(pwd)/installer_files/env"
-MICROMAMBA_DOWNLOAD_URL="https://micro.mamba.pm/api/micromamba/${MAMBA_OS_NAME}-${MAMBA_ARCH}/latest"
-RELEASE_URL=https://github.com/invoke-ai/InvokeAI
-RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
-PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
-if [ "$OS_NAME" == "darwin" ]; then
-    PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-apple-darwin-install_only.tar.gz
-elif [ "$OS_NAME" == "linux" ]; then
-    PYTHON_BUILD_STANDALONE=20221002/cpython-3.10.7+20221002-${PY_ARCH}-unknown-linux-gnu-install_only.tar.gz
-fi
-echo "INSTALLING $RELEASE_SOURCEBALL FROM $RELEASE_URL"
-
-PACKAGES_TO_INSTALL=""
-
-if ! hash "git" &>/dev/null; then PACKAGES_TO_INSTALL="$PACKAGES_TO_INSTALL git"; fi
-
-# (if necessary) install git and conda into a contained environment
-if [ "$PACKAGES_TO_INSTALL" != "" ]; then
-    # download micromamba
-    echo -e "\n***** Downloading micromamba from $MICROMAMBA_DOWNLOAD_URL to micromamba *****\n"
-
-    curl -L "$MICROMAMBA_DOWNLOAD_URL" | tar -xvjO bin/micromamba > micromamba
-
-    chmod u+x ./micromamba
-
-    # test the mamba binary
-    echo -e "\n***** Micromamba version: *****\n"
-    ./micromamba --version
-
-    # create the installer env
-    if [ ! -e "$INSTALL_ENV_DIR" ]; then
-        ./micromamba create -y --prefix "$INSTALL_ENV_DIR"
-    fi
-
-    echo -e "\n***** Packages to install:$PACKAGES_TO_INSTALL *****\n"
-
-    ./micromamba install -y --prefix "$INSTALL_ENV_DIR" -c conda-forge "$PACKAGES_TO_INSTALL"
-
-    if [ ! -e "$INSTALL_ENV_DIR" ]; then
-        echo -e "\n----- There was a problem while initializing micromamba. Cannot continue. -----\n"
-        exit
-    fi
-fi
-
-rm -f micromamba.exe
-
-export PATH="$INSTALL_ENV_DIR/bin:$PATH"
-
-# Download/unpack/clean up InvokeAI release sourceball
-_err_msg="\n----- InvokeAI source download failed -----\n"
-curl -L $RELEASE_URL/$RELEASE_SOURCEBALL --output InvokeAI.tgz
-_err_exit $? _err_msg
-_err_msg="\n----- InvokeAI source unpack failed -----\n"
-tar -zxf InvokeAI.tgz
-_err_exit $? _err_msg
-
-rm -f InvokeAI.tgz
-
-_err_msg="\n----- InvokeAI source copy failed -----\n"
-cd InvokeAI-*
-cp -r . ..
-_err_exit $? _err_msg
-cd ..
-
-# cleanup
-rm -rf InvokeAI-*/
-rm -rf .dev_scripts/ .github/ docker-build/ tests/ requirements.in requirements-mkdocs.txt shell.nix
-
-echo -e "\n***** Unpacked InvokeAI source *****\n"
-
-# Download/unpack/clean up python-build-standalone
-_err_msg="\n----- Python download failed -----\n"
-curl -L $PYTHON_BUILD_STANDALONE_URL/$PYTHON_BUILD_STANDALONE --output python.tgz
-_err_exit $? _err_msg
-_err_msg="\n----- Python unpack failed -----\n"
-tar -zxf python.tgz
-_err_exit $? _err_msg
-
-rm -f python.tgz
-
-echo -e "\n***** Unpacked python-build-standalone *****\n"
-
-# create venv
-_err_msg="\n----- problem creating venv -----\n"
-
-if [ "$OS_NAME" == "darwin" ]; then
-    # patch sysconfig so that extensions can build properly
-    # adapted from https://github.com/cashapp/hermit-packages/commit/fcba384663892f4d9cfb35e8639ff7a28166ee43
-    PYTHON_INSTALL_DIR="$(pwd)/python"
-    SYSCONFIG="$(echo python/lib/python*/_sysconfigdata_*.py)"
-    TMPFILE="$(mktemp)"
-    chmod +w "${SYSCONFIG}"
-    cp "${SYSCONFIG}" "${TMPFILE}"
-    sed "s,'/install,'${PYTHON_INSTALL_DIR},g" "${TMPFILE}" > "${SYSCONFIG}"
-    rm -f "${TMPFILE}"
-fi
-
-./python/bin/python3 -E -s -m venv .venv
-_err_exit $? _err_msg
-source .venv/bin/activate
-
-echo -e "\n***** Created Python virtual environment *****\n"
-
-# Print venv's Python version
-_err_msg="\n----- problem calling venv's python -----\n"
-echo -e "We're running under"
-.venv/bin/python3 --version
-_err_exit $? _err_msg
-
-_err_msg="\n----- pip update failed -----\n"
-.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location --upgrade pip
-_err_exit $? _err_msg
-
-echo -e "\n***** Updated pip *****\n"
-
-_err_msg="\n----- requirements file copy failed -----\n"
-cp binary_installer/py3.10-${OS_NAME}-"${OS_ARCH}"-${CD}-reqs.txt requirements.txt
-_err_exit $? _err_msg
-
-_err_msg="\n----- main pip install failed -----\n"
-.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -r requirements.txt
-_err_exit $? _err_msg
-
-echo -e "\n***** Installed Python dependencies *****\n"
-
-_err_msg="\n----- InvokeAI setup failed -----\n"
-.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -e .
-_err_exit $? _err_msg
-
-echo -e "\n***** Installed InvokeAI *****\n"
-
-cp binary_installer/invoke.sh.in ./invoke.sh
-chmod a+rx ./invoke.sh
-echo -e "\n***** Installed invoke launcher script ******\n"
-
-# more cleanup
-rm -rf binary_installer/ installer_files/
-
-# preload the models
-.venv/bin/python3 scripts/configure_invokeai.py
-_err_msg="\n----- model download clone failed -----\n"
-_err_exit $? _err_msg
-deactivate
-
-echo -e "\n***** Finished downloading models *****\n"
-
-echo "All done! Run the command"
-echo "  $scriptdir/invoke.sh"
-echo "to start InvokeAI."
-read -p "Press any key to exit..."
-exit
--- a/binary_installer/invoke.bat.in
+++ b/binary_installer/invoke.bat.in
@@ -1,36 +0,0 @@
-@echo off
-
-PUSHD "%~dp0"
-call .venv\Scripts\activate.bat
-
-echo Do you want to generate images using the
-echo 1. command-line
-echo 2. browser-based UI
-echo OR
-echo 3. open the developer console
-set /p choice="Please enter 1, 2 or 3: "
-if /i "%choice%" == "1" (
-    echo Starting the InvokeAI command-line.
-    .venv\Scripts\python scripts\invoke.py %*
-) else if /i "%choice%" == "2" (
-    echo Starting the InvokeAI browser-based UI.
-    .venv\Scripts\python scripts\invoke.py --web %*
-) else if /i "%choice%" == "3" (
-    echo Developer Console
-    echo Python command is:
-    where python
-    echo Python version is:
-    python --version
-    echo *************************
-    echo You are now in the system shell, with the local InvokeAI Python virtual environment activated,
-    echo so that you can troubleshoot this InvokeAI installation as necessary.
-    echo *************************
-    echo *** Type `exit` to quit this shell and deactivate the Python virtual environment ***
-    call cmd /k
-) else (
-    echo Invalid selection
-    pause
-    exit /b
-)
-
-deactivate
--- a/binary_installer/invoke.sh.in
+++ b/binary_installer/invoke.sh.in
@@ -1,46 +0,0 @@
-#!/usr/bin/env sh
-
-set -eu
-
-. .venv/bin/activate
-
-# set required env var for torch on mac MPS
- if [ "$(uname -s)" == "Darwin" ]; then
-     export PYTORCH_ENABLE_MPS_FALLBACK=1
- fi
-
-echo "Do you want to generate images using the"
-echo "1. command-line"
-echo "2. browser-based UI"
-echo "OR"
-echo "3. open the developer console"
-echo "Please enter 1, 2, or 3:"
-read choice
-
-case $choice in
-    1)
-        printf "\nStarting the InvokeAI command-line..\n";
-        .venv/bin/python scripts/invoke.py $*;
-    ;;
-    2)
-        printf "\nStarting the InvokeAI browser-based UI..\n";
-        .venv/bin/python scripts/invoke.py --web $*;
-    ;;
-    3)
-        printf "\nDeveloper Console:\n";
-        printf "Python command is:\n\t";
-        which python;
-        printf "Python version is:\n\t";
-        python --version;
-        echo "*************************"
-        echo "You are now in your user shell ($SHELL) with the local InvokeAI Python virtual environment activated,";
-        echo "so that you can troubleshoot this InvokeAI installation as necessary.";
-        printf "*************************\n"
-        echo "*** Type \`exit\` to quit this shell and deactivate the Python virtual environment *** ";
-        /usr/bin/env "$SHELL";
-    ;;
-    *)
-        echo "Invalid selection";
-        exit
-    ;;
-esac
--- a/binary_installer/py3.10-darwin-arm64-mps-reqs.txt
+++ b/binary_installer/py3.10-darwin-arm64-mps-reqs.txt
--- a/binary_installer/py3.10-darwin-x86_64-cpu-reqs.txt
+++ b/binary_installer/py3.10-darwin-x86_64-cpu-reqs.txt
--- a/binary_installer/py3.10-linux-x86_64-cuda-reqs.txt
+++ b/binary_installer/py3.10-linux-x86_64-cuda-reqs.txt
--- a/binary_installer/py3.10-windows-x86_64-cuda-reqs.txt
+++ b/binary_installer/py3.10-windows-x86_64-cuda-reqs.txt
--- a/binary_installer/readme.txt
+++ b/binary_installer/readme.txt
@@ -1,17 +0,0 @@
-InvokeAI
-
-Project homepage: https://github.com/invoke-ai/InvokeAI
-
-Installation on Windows:
-    NOTE: You might need to enable Windows Long Paths. If you're not sure,
-    then you almost certainly need to. Simply double-click the 'WinLongPathsEnabled.reg'
-    file. Note that you will need to have admin privileges in order to
-    do this.
-
-    Please double-click the 'install.bat' file (while keeping it inside the invokeAI folder).
-
-Installation on Linux and Mac:
-    Please open the terminal, and run './install.sh' (while keeping it inside the invokeAI folder).
-
-After installation, please run the 'invoke.bat' file (on Windows) or 'invoke.sh'
-file (on Linux/Mac) to start InvokeAI.
--- a/binary_installer/requirements.in
+++ b/binary_installer/requirements.in
@@ -1,33 +0,0 @@
--prefer-binary
--extra-index-url https://download.pytorch.org/whl/torch_stable.html
--extra-index-url https://download.pytorch.org/whl/cu116
--trusted-host https://download.pytorch.org
-accelerate~=0.15
-albumentations
-diffusers[torch]~=0.11
-einops
-eventlet
-flask_cors
-flask_socketio
-flaskwebgui==1.0.3
-getpass_asterisk
-imageio-ffmpeg
-pyreadline3
-realesrgan
-send2trash
-streamlit
-taming-transformers-rom1504
-test-tube
-torch-fidelity
-torch==1.12.1 ; platform_system == 'Darwin'
-torch==1.12.0+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
-torchvision==0.13.1 ; platform_system == 'Darwin'
-torchvision==0.13.0+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
-transformers
-picklescan
-https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip
-https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip
-https://github.com/invoke-ai/GFPGAN/archive/3f5d2397361199bc4a91c08bb7d80f04d7805615.zip ; platform_system=='Windows'
-https://github.com/invoke-ai/GFPGAN/archive/c796277a1cf77954e5fc0b288d7062d162894248.zip ; platform_system=='Linux' or platform_system=='Darwin'
-https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip
-https://github.com/invoke-ai/PyPatchMatch/archive/129863937a8ab37f6bbcec327c994c0f932abdbc.zip
--- a/docs/installation/010_INSTALL_AUTOMATED.md
+++ b/docs/installation/010_INSTALL_AUTOMATED.md
@@ -221,7 +221,10 @@ experimental versions later.

    - ***NSFW checker***
      If checked, InvokeAI will test images for potential sexual content
-      and blur them out if found.
+      and blur them out if found. Note that the NSFW checker consumes
+      an additional 0.6 GB of VRAM on top of the 2-3 GB of VRAM used
+      by most image models. If you have a low VRAM GPU (4-6 GB), you
+      can reduce out of memory errors by disabling the checker.

    - ***HuggingFace Access Token***
      InvokeAI has the ability to download embedded styles and subjects
@@ -440,6 +443,52 @@ the [InvokeAI Issues](https://github.com/invoke-ai/InvokeAI/issues) section, or
 visit our [Discord Server](https://discord.gg/ZmtBAhwWhy) for interactive
 assistance.

+### Out of Memory Issues
+
+The models are large, VRAM is expensive, and you may find yourself
+faced with Out of Memory errors when generating images. Here are some
+tips to reduce the problem:
+
+* **4 GB of VRAM**
+
+This should be adequate for 512x512 pixel images using Stable Diffusion 1.5
+and derived models, provided that you **disable** the NSFW checker. To
+disable the filter, do one of the following:
+
+   * Select option (6) "_change InvokeAI startup options_" from the
+     launcher. This will bring up the console-based startup settings
+     dialogue and allow you to unselect the "NSFW Checker" option.
+   * Start the startup settings dialogue directly by running
+     `invokeai-configure --skip-sd-weights --skip-support-models`
+     from the command line.
+   * Find the `invokeai.init` initialization file in the InvokeAI root
+     directory, open it in a text editor, and change `--nsfw_checker`
+     to `--no-nsfw_checker`
+
+If you are on a CUDA system, you can realize significant memory
+savings by activating the `xformers` library as described above. The
+downside is `xformers` introduces non-deterministic behavior, such
+that images generated with exactly the same prompt and settings will
+be slightly different from each other. See above for more information.
+
+* **6 GB of VRAM**
+
+This is a border case. Using the SD 1.5 series you should be able to
+generate images up to 640x640 with the NSFW checker enabled, and up to
+1024x1024 with it disabled and `xformers` activated. 
+
+If you run into persistent memory issues there are a series of
+environment variables that you can set before launching InvokeAI that
+alter how the PyTorch machine learning library manages memory.  See
+https://pytorch.org/docs/stable/notes/cuda.html#memory-management for
+a list of these tweaks.
+
+* **12 GB of VRAM**
+
+This should be sufficient to generate larger images up to about
+1280x1280. If you wish to push further, consider activating
+`xformers`.
+
 ### Other Problems

 If you run into problems during or after installation, the InvokeAI team is
--- a/docs/installation/050_INSTALLING_MODELS.md
+++ b/docs/installation/050_INSTALLING_MODELS.md
@@ -43,25 +43,31 @@ InvokeAI comes with support for a good set of starter models. You'll
 find them listed in the master models file
 `configs/INITIAL_MODELS.yaml` in the InvokeAI root directory. The
 subset that are currently installed are found in
-`configs/models.yaml`. The current list is:
+`configs/models.yaml`. As of v2.3.1, the list of starter models is:

-| Model                | HuggingFace Repo ID               | Description                                                | URL
-| -------------------- | --------------------------------- | ---------------------------------------------------------- | -------------------------------------------------------------- |
-| stable-diffusion-1.5 | runwayml/stable-diffusion-v1-5    | Most recent version of base Stable Diffusion model         | https://huggingface.co/runwayml/stable-diffusion-v1-5          |
-| stable-diffusion-1.4 | runwayml/stable-diffusion-v1-4    | Previous version of base Stable Diffusion model         | https://huggingface.co/runwayml/stable-diffusion-v1-4          |
-| inpainting-1.5       | runwayml/stable-diffusion-inpainting  | Stable diffusion 1.5 optimized for inpainting          | https://huggingface.co/runwayml/stable-diffusion-inpainting    |
-| stable-diffusion-2.1-base |stabilityai/stable-diffusion-2-1-base | Stable Diffusion version 2.1 trained on 512 pixel images | https://huggingface.co/stabilityai/stable-diffusion-2-1-base |
-| stable-diffusion-2.1-768 |stabilityai/stable-diffusion-2-1 | Stable Diffusion version 2.1 trained on 768 pixel images | https://huggingface.co/stabilityai/stable-diffusion-2-1        |
-| dreamlike-diffusion-1.0  | dreamlike-art/dreamlike-diffusion-1.0  | An SD 1.5 model finetuned on high quality art    | https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0   |
-| dreamlike-photoreal-2.0  | dreamlike-art/dreamlike-photoreal-2.0  | A photorealistic model trained on 768 pixel images| https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0   |
-| openjourney-4.0      | prompthero/openjourney              | An SD 1.5 model finetuned on Midjourney images prompt with "mdjrny-v4 style"   | https://huggingface.co/prompthero/openjourney  |
-| nitro-diffusion-1.0  | nitrosocke/Nitro-Diffusion          | An SD 1.5 model finetuned on three styles, prompt with "archer style", "arcane style" or "modern disney style" | https://huggingface.co/nitrosocke/Nitro-Diffusion|
-| trinart-2.0          | naclbit/trinart_stable_diffusion_v2 | An SD 1.5 model finetuned with ~40,000 assorted high resolution manga/anime-style pictures | https://huggingface.co/naclbit/trinart_stable_diffusion_v2|
-| trinart-characters-2_0 | naclbit/trinart_derrida_characters_v2_stable_diffusion | An SD 1.5 model finetuned with 19.2M manga/anime-style pictures | https://huggingface.co/naclbit/trinart_derrida_characters_v2_stable_diffusion|
+|Model Name | HuggingFace Repo ID | Description | URL |
+|---------- | ---------- | ----------- | --- |
+|stable-diffusion-1.5|runwayml/stable-diffusion-v1-5|Stable Diffusion version 1.5 diffusers model (4.27 GB)|https://huggingface.co/runwayml/stable-diffusion-v1-5 |
+|sd-inpainting-1.5|runwayml/stable-diffusion-inpainting|RunwayML SD 1.5 model optimized for inpainting, diffusers version (4.27 GB)|https://huggingface.co/runwayml/stable-diffusion-inpainting |
+|stable-diffusion-2.1|stabilityai/stable-diffusion-2-1|Stable Diffusion version 2.1 diffusers model, trained on 768 pixel images (5.21 GB)|https://huggingface.co/stabilityai/stable-diffusion-2-1 |
+|sd-inpainting-2.0|stabilityai/stable-diffusion-2-1|Stable Diffusion version 2.0 inpainting model (5.21 GB)|https://huggingface.co/stabilityai/stable-diffusion-2-1 |
+|analog-diffusion-1.0|wavymulder/Analog-Diffusion|An SD-1.5 model trained on diverse analog photographs (2.13 GB)|https://huggingface.co/wavymulder/Analog-Diffusion |
+|deliberate-1.0|XpucT/Deliberate|Versatile model that produces detailed images up to 768px (4.27 GB)|https://huggingface.co/XpucT/Deliberate |
+|d&d-diffusion-1.0|0xJustin/Dungeons-and-Diffusion|Dungeons & Dragons characters (2.13 GB)|https://huggingface.co/0xJustin/Dungeons-and-Diffusion |
+|dreamlike-photoreal-2.0|dreamlike-art/dreamlike-photoreal-2.0|A photorealistic model trained on 768 pixel images based on SD 1.5 (2.13 GB)|https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0 |
+|inkpunk-1.0|Envvi/Inkpunk-Diffusion|Stylized illustrations inspired by Gorillaz, FLCL and Shinkawa; prompt with "nvinkpunk" (4.27 GB)|https://huggingface.co/Envvi/Inkpunk-Diffusion |
+|openjourney-4.0|prompthero/openjourney|An SD 1.5 model fine tuned on Midjourney; prompt with "mdjrny-v4 style" (2.13 GB)|https://huggingface.co/prompthero/openjourney |
+|portrait-plus-1.0|wavymulder/portraitplus|An SD-1.5 model trained on close range portraits of people; prompt with "portrait+" (2.13 GB)|https://huggingface.co/wavymulder/portraitplus |
+|seek-art-mega-1.0|coreco/seek.art_MEGA|A general use SD-1.5 "anything" model that supports multiple styles (2.1 GB)|https://huggingface.co/coreco/seek.art_MEGA |
+|trinart-2.0|naclbit/trinart_stable_diffusion_v2|An SD-1.5 model finetuned with ~40K assorted high resolution manga/anime-style images (2.13 GB)|https://huggingface.co/naclbit/trinart_stable_diffusion_v2 |
+|waifu-diffusion-1.4|hakurei/waifu-diffusion|An SD-1.5 model trained on 680k anime/manga-style images (2.13 GB)|https://huggingface.co/hakurei/waifu-diffusion |

-Note that these files are covered by an "Ethical AI" license which forbids
-certain uses. When you initially download them, you are asked to
-accept the license terms.
+Note that these files are covered by an "Ethical AI" license which
+forbids certain uses. When you initially download them, you are asked
+to accept the license terms. In addition, some of these models carry
+additional license terms that limit their use in commercial
+applications or on public servers. Be sure to familiarize yourself
+with the model terms by visiting the URLs in the table above.

 ## Community-Contributed Models

--- a/docs/other/TRANSLATION.md
+++ b/docs/other/TRANSLATION.md
@@ -0,0 +1,19 @@
+# Translation
+
+InvokeAI uses [Weblate](https://weblate.org) for translation. Weblate is a FOSS project providing a scalable translation service. Weblate automates the tedious parts of managing translation of a growing project, and the service is generously provided at no cost to FOSS projects like InvokeAI.
+
+## Contributing
+
+If you'd like to contribute by adding or updating a translation, please visit our [Weblate project](https://hosted.weblate.org/engage/invokeai/). You'll need to sign in with your GitHub account (a number of other accounts are supported, including Google).
+
+Once signed in, select a language and then the Web UI component. From here you can Browse and Translate strings from English to your chosen language. Zen mode offers a simpler translation experience.
+
+Your changes will be attributed to you in the automated PR process; you don't need to do anything else.
+
+## Help & Questions
+
+Please check Weblate's [documentation](https://docs.weblate.org/en/latest/index.html) or ping @psychedelicious or @blessedcoolant on Discord if you have any questions.
+
+## Thanks
+
+Thanks to the InvokeAI community for their efforts to translate the project!
--- a/installer/create_installer.sh
+++ b/installer/create_installer.sh
@@ -20,10 +20,9 @@ echo Building installer for version $VERSION
 echo "Be certain that you're in the 'installer' directory before continuing."
 read -p "Press any key to continue, or CTRL-C to exit..."

-read -e -p "Commit and tag this repo with '${VERSION}' and '${LATEST_TAG}'? [n]: " input
+read -e -p "Tag this repo with '${VERSION}' and '${LATEST_TAG}'? [n]: " input
 RESPONSE=${input:='n'}
 if [ "$RESPONSE" == 'y' ]; then
-    git commit -a

    if ! git tag $VERSION ; then
 	    echo "Existing/invalid tag"
@@ -32,6 +31,8 @@ if [ "$RESPONSE" == 'y' ]; then

    git push origin :refs/tags/$LATEST_TAG
    git tag -fa $LATEST_TAG
+
+    echo "remember to push --tags!"
 fi

 # ----------------------
--- a/installer/lib/installer.py
+++ b/installer/lib/installer.py
@@ -336,7 +336,8 @@ class InvokeAiInstance:
            elif el in ['-y','--yes','--yes-to-all']:
                new_argv.append(el)
        sys.argv = new_argv
-
+        
+        import requests  # to catch download exceptions
        from messages import introduction

        introduction()
@@ -346,7 +347,21 @@ class InvokeAiInstance:
        # NOTE: currently the config script does its own arg parsing! this means the command-line switches
        # from the installer will also automatically propagate down to the config script.
        # this may change in the future with config refactoring!
-        invokeai_configure.main()
+        succeeded = False
+        try:
+            invokeai_configure.main()
+            succeeded = True
+        except requests.exceptions.ConnectionError as e:
+            print(f'\nA network error was encountered during configuration and download: {str(e)}')
+        except OSError as e:
+            print(f'\nAn OS error was encountered during configuration and download: {str(e)}')
+        except Exception as e:
+            print(f'\nA problem was encountered during the configuration and download steps: {str(e)}')
+        finally:
+            if not succeeded:
+                print('To try again, find the "invokeai" directory, run the script "invoke.sh" or "invoke.bat"')
+                print('and choose option 7 to fix a broken install, optionally followed by option 5 to install models.')
+                print('Alternatively you can relaunch the installer.')

    def install_user_scripts(self):
        """
--- a/installer/templates/invoke.bat.in
+++ b/installer/templates/invoke.bat.in
@@ -6,8 +6,9 @@ setlocal
 call .venv\Scripts\activate.bat
 set INVOKEAI_ROOT=.

+:start
 echo Do you want to generate images using the
-echo 1. command-line
+echo 1. command-line interface
 echo 2. browser-based UI
 echo 3. run textual inversion training
 echo 4. merge models (diffusers type only)
@@ -17,7 +18,8 @@ echo 7. re-run the configure script to fix a broken install
 echo 8. open the developer console
 echo 9. update InvokeAI
 echo 10. command-line help
-set /P restore="Please enter 1-10: [2] "
+echo Q - quit
+set /P restore="Please enter 1-10, Q: [2] "
 if not defined restore set restore=2
 IF /I "%restore%" == "1" (
    echo Starting the InvokeAI command-line..
@@ -60,9 +62,19 @@ IF /I "%restore%" == "1" (
    python .venv\Scripts\invokeai.exe --help %*
    pause
    exit /b
+) ELSE IF /I "%restore%" == "q" (
+    echo Goodbye!
+    goto ending
 ) ELSE (
    echo Invalid selection
    pause
    exit /b
 )
+goto start
+
 endlocal
+pause
+
+:ending
+exit /b
+
--- a/installer/templates/invoke.sh.in
+++ b/installer/templates/invoke.sh.in
@@ -24,9 +24,11 @@ if [ "$(uname -s)" == "Darwin" ]; then
    export PYTORCH_ENABLE_MPS_FALLBACK=1
 fi

+while true
+do
 if [ "$0" != "bash" ]; then
    echo "Do you want to generate images using the"
-    echo "1. command-line"
+    echo "1. command-line interface"
    echo "2. browser-based UI"
    echo "3. run textual inversion training"
    echo "4. merge models (diffusers type only)"
@@ -35,35 +37,36 @@ if [ "$0" != "bash" ]; then
    echo "7. re-run the configure script to fix a broken install"
    echo "8. open the developer console"
    echo "9. update InvokeAI"
-    echo "10. command-line help "
+    echo "10. command-line help"
+    echo "Q - Quit"
    echo ""
-    read -p "Please enter 1-10: [2] " yn
+    read -p "Please enter 1-10, Q: [2] " yn
    choice=${yn:='2'}
    case $choice in
        1)
            echo "Starting the InvokeAI command-line..."
-            exec invokeai $@
+            invokeai $@
            ;;
        2)
            echo "Starting the InvokeAI browser-based UI..."
-            exec invokeai --web $@
+            invokeai --web $@
            ;;
        3)
            echo "Starting Textual Inversion:"
-            exec invokeai-ti --gui $@
+            invokeai-ti --gui $@
            ;;
        4)
            echo "Merging Models:"
-            exec invokeai-merge --gui $@
+            invokeai-merge --gui $@
            ;;
        5)
-            exec invokeai-model-install --root ${INVOKEAI_ROOT}
+            invokeai-model-install --root ${INVOKEAI_ROOT}
            ;;
        6)
-            exec invokeai-configure --root ${INVOKEAI_ROOT} --skip-sd-weights --skip-support-models
+            invokeai-configure --root ${INVOKEAI_ROOT} --skip-sd-weights --skip-support-models
            ;;
        7)
-            exec invokeai-configure --root ${INVOKEAI_ROOT} --yes --default_only
+            invokeai-configure --root ${INVOKEAI_ROOT} --yes --default_only
 	    ;;
 	8)
 	    echo "Developer Console:"
@@ -72,10 +75,13 @@ if [ "$0" != "bash" ]; then
            ;;
        9)
 	    echo "Update:"
-            exec invokeai-update
+            invokeai-update
            ;;
        10)
-            exec invokeai --help
+            invokeai --help
+            ;;
+	[qQ])
+            exit 0
            ;;
        *)
            echo "Invalid selection"
@@ -86,3 +92,4 @@ else # in developer console
    echo "Press ^D to exit"
    export PS1="(InvokeAI) \u@\h \w> "
 fi
+done
--- a/invokeai/configs/INITIAL_MODELS.yaml
+++ b/invokeai/configs/INITIAL_MODELS.yaml
@@ -6,53 +6,83 @@ stable-diffusion-1.5:
     repo_id: stabilityai/sd-vae-ft-mse
   recommended: True
   default: True
-inpainting-1.5:
+sd-inpainting-1.5:
  description: RunwayML SD 1.5 model optimized for inpainting, diffusers version (4.27 GB)
  repo_id: runwayml/stable-diffusion-inpainting
  format: diffusers
  vae:
    repo_id: stabilityai/sd-vae-ft-mse
  recommended: True
-dreamlike-diffusion-1.0:
-  description: An SD 1.5 model fine tuned on high quality art by dreamlike.art, diffusers version (2.13 BG)
-  format: diffusers
-  repo_id: dreamlike-art/dreamlike-diffusion-1.0
-  vae:
-     repo_id: stabilityai/sd-vae-ft-mse
-  recommended: True
-dreamlike-photoreal-2.0:
-  description: A photorealistic model trained on 768 pixel images based on SD 1.5 (2.13 GB)
-  format: diffusers
-  repo_id: dreamlike-art/dreamlike-photoreal-2.0
-  recommended: False
 stable-diffusion-2.1-768:
   description: Stable Diffusion version 2.1 diffusers model, trained on 768 pixel images (5.21 GB)
   repo_id: stabilityai/stable-diffusion-2-1
   format: diffusers
   recommended: True
 stable-diffusion-2.1-base:
-   description: Stable Diffusion version 2.1 diffusers base model, trained on 512 pixel images (5.21 GB)
+   description: Stable Diffusion version 2.1 diffusers model, trained on 512 pixel images (5.21 GB)
   repo_id: stabilityai/stable-diffusion-2-1-base
   format: diffusers
   recommended: False
+sd-inpainting-2.0:
+   description: Stable Diffusion version 2.0 inpainting model (5.21 GB)
+   repo_id: stabilityai/stable-diffusion-2-inpainting
+   format: diffusers
+   recommended: False
+analog-diffusion-1.0:
+   description: An SD-1.5 model trained on diverse analog photographs (2.13 GB)
+   repo_id: wavymulder/Analog-Diffusion
+   format: diffusers
+   recommended: false
+deliberate-1.0:
+   description: Versatile model that produces detailed images up to 768px (4.27 GB)
+   format: diffusers
+   repo_id: XpucT/Deliberate
+   recommended: False
+d&d-diffusion-1.0:
+   description: Dungeons & Dragons characters (2.13 GB)
+   format: diffusers
+   repo_id: 0xJustin/Dungeons-and-Diffusion
+   recommended: False
+dreamlike-photoreal-2.0:
+   description: A photorealistic model trained on 768 pixel images based on SD 1.5 (2.13 GB)
+   format: diffusers
+   repo_id: dreamlike-art/dreamlike-photoreal-2.0
+   recommended: False
+inkpunk-1.0:
+   description: Stylized illustrations inspired by Gorillaz, FLCL and Shinkawa; prompt with "nvinkpunk" (4.27 GB)
+   format: diffusers
+   repo_id: Envvi/Inkpunk-Diffusion
+   recommended: False
 openjourney-4.0:
-  description: An SD 1.5 model fine tuned on Midjourney images by PromptHero - include "mdjrny-v4 style" in your prompts (2.13 GB)
-  format: diffusers
-  repo_id: prompthero/openjourney
-  vae:
+   description: An SD 1.5 model fine tuned on Midjourney; prompt with "mdjrny-v4 style" (2.13 GB)
+   format: diffusers
+   repo_id: prompthero/openjourney
+   vae:
     repo_id: stabilityai/sd-vae-ft-mse
-  recommended: False
-nitro-diffusion-1.0:
-   description: A SD 1.5 model trained on three artstyles - prompt with "archer style", "arcane style" and/or "modern disney style" (2.13 GB)
-   repo_id: nitrosocke/Nitro-Diffusion
+   recommended: False
+portrait-plus-1.0:
+   description: An SD-1.5 model trained on close range portraits of people; prompt with "portrait+" (2.13 GB)
+   format: diffusers
+   repo_id: wavymulder/portraitplus
+   recommended: False
+seek-art-mega-1.0:
+   description: A general use SD-1.5 "anything" model that supports multiple styles (2.1 GB)
+   repo_id: coreco/seek.art_MEGA
   format: diffusers
   vae:
     repo_id: stabilityai/sd-vae-ft-mse
   recommended: False
 trinart-2.0:
-   description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures, diffusers version (2.13 GB)
+   description: An SD-1.5 model finetuned with ~40K assorted high resolution manga/anime-style images (2.13 GB)
   repo_id: naclbit/trinart_stable_diffusion_v2
   format: diffusers
   vae:
     repo_id: stabilityai/sd-vae-ft-mse
   recommended: False
+waifu-diffusion-1.4:
+   description: An SD-1.5 model trained on 680k anime/manga-style images (2.13 GB)
+   repo_id: hakurei/waifu-diffusion
+   format: diffusers
+   vae:
+     repo_id: stabilityai/sd-vae-ft-mse
+   recommended: False
--- a/invokeai/frontend/dist/assets/index-c33fa9da.js
+++ b/invokeai/frontend/dist/assets/index-c33fa9da.js
--- a/invokeai/frontend/dist/index.html
+++ b/invokeai/frontend/dist/index.html
@@ -5,7 +5,7 @@
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>InvokeAI - A Stable Diffusion Toolkit</title>
    <link rel="shortcut icon" type="icon" href="./assets/favicon-0d253ced.ico" />
-    <script type="module" crossorigin src="./assets/index-0e39fbc4.js"></script>
+    <script type="module" crossorigin src="./assets/index-c33fa9da.js"></script>
    <link rel="stylesheet" href="./assets/index-14cb2922.css">
  </head>

--- a/invokeai/frontend/dist/locales/en.json
+++ b/invokeai/frontend/dist/locales/en.json
@@ -63,7 +63,8 @@
        "statusConvertingModel": "Converting Model",
        "statusModelConverted": "Model Converted",
        "statusMergingModels": "Merging Models",
-        "statusMergedModels": "Models Merged"
+        "statusMergedModels": "Models Merged",
+        "pinOptionsPanel": "Pin Options Panel"
    },
    "gallery": {
        "generations": "Generations",
@@ -393,7 +394,9 @@
        "modelMergeInterpAddDifferenceHelp": "In this mode, Model 3 is first subtracted from Model 2. The resulting version is blended with Model 1 with the alpha rate set above.",
        "inverseSigmoid": "Inverse Sigmoid",
        "sigmoid": "Sigmoid",
-        "weightedSum": "Weighted Sum"
+        "weightedSum": "Weighted Sum",
+        "none": "none",
+        "addDifference": "Add Difference"
    },
    "parameters": {
        "general": "General",
--- a/invokeai/frontend/dist/locales/es.json
+++ b/invokeai/frontend/dist/locales/es.json
@@ -15,7 +15,7 @@
        "langSpanish": "Español",
        "nodesDesc": "Un sistema de generación de imágenes basado en nodos, actualmente se encuentra en desarrollo. Mantente pendiente a nuestras actualizaciones acerca de esta fabulosa funcionalidad.",
        "postProcessing": "Post-procesamiento",
-        "postProcessDesc1": "Invoke AI ofrece una gran variedad de funciones de post-procesamiento, El aumento de tamaño y Restauración de Rostros ya se encuentran disponibles en la interfaz web, puedes acceder desde el menú de Opciones Avanzadas en las pestañas de Texto a Imagen y de Imagen a Imagen. También puedes acceder a estas funciones directamente mediante el botón de acciones en el menú superior de la imagen actual o en el visualizador",
+        "postProcessDesc1": "Invoke AI ofrece una gran variedad de funciones de post-procesamiento, El aumento de tamaño y Restauración de Rostros ya se encuentran disponibles en la interfaz web, puedes acceder desde el menú de Opciones Avanzadas en las pestañas de Texto a Imagen y de Imagen a Imagen. También puedes acceder a estas funciones directamente mediante el botón de acciones en el menú superior de la imagen actual o en el visualizador.",
        "postProcessDesc2": "Una interfaz de usuario dedicada se lanzará pronto para facilitar flujos de trabajo de postprocesamiento más avanzado.",
        "postProcessDesc3": "La Interfaz de Línea de Comandos de Invoke AI ofrece muchas otras características, incluyendo -Embiggen-.",
        "training": "Entrenamiento",
@@ -44,7 +44,26 @@
        "statusUpscaling": "Aumentando Tamaño",
        "statusUpscalingESRGAN": "Restaurando Rostros(ESRGAN)",
        "statusLoadingModel": "Cargando Modelo",
-        "statusModelChanged": "Modelo cambiado"
+        "statusModelChanged": "Modelo cambiado",
+        "statusMergedModels": "Modelos combinados",
+        "githubLabel": "Github",
+        "discordLabel": "Discord",
+        "langEnglish": "Inglés",
+        "langDutch": "Holandés",
+        "langFrench": "Francés",
+        "langGerman": "Alemán",
+        "langItalian": "Italiano",
+        "langArabic": "Árabe",
+        "langJapanese": "Japones",
+        "langPolish": "Polaco",
+        "langBrPortuguese": "Portugués brasileño",
+        "langRussian": "Ruso",
+        "langSimplifiedChinese": "Chino simplificado",
+        "langUkranian": "Ucraniano",
+        "back": "Atrás",
+        "statusConvertingModel": "Convertir el modelo",
+        "statusModelConverted": "Modelo adaptado",
+        "statusMergingModels": "Fusionar modelos"
    },
    "gallery": {
        "generations": "Generaciones",
@@ -284,16 +303,16 @@
        "nameValidationMsg": "Introduce un nombre para tu modelo",
        "description": "Descripción",
        "descriptionValidationMsg": "Introduce una descripción para tu modelo",
-        "config": "Config",
-        "configValidationMsg": "Ruta del archivo de configuración del modelo",
+        "config": "Configurar",
+        "configValidationMsg": "Ruta del archivo de configuración del modelo.",
        "modelLocation": "Ubicación del Modelo",
-        "modelLocationValidationMsg": "Ruta del archivo de modelo",
+        "modelLocationValidationMsg": "Ruta del archivo de modelo.",
        "vaeLocation": "Ubicación VAE",
-        "vaeLocationValidationMsg": "Ruta del archivo VAE",
+        "vaeLocationValidationMsg": "Ruta del archivo VAE.",
        "width": "Ancho",
-        "widthValidationMsg": "Ancho predeterminado de tu modelo",
+        "widthValidationMsg": "Ancho predeterminado de tu modelo.",
        "height": "Alto",
-        "heightValidationMsg": "Alto predeterminado de tu modelo",
+        "heightValidationMsg": "Alto predeterminado de tu modelo.",
        "addModel": "Añadir Modelo",
        "updateModel": "Actualizar Modelo",
        "availableModels": "Modelos disponibles",
@@ -320,7 +339,61 @@
        "deleteModel": "Eliminar Modelo",
        "deleteConfig": "Eliminar Configuración",
        "deleteMsg1": "¿Estás seguro de querer eliminar esta entrada de modelo de InvokeAI?",
-        "deleteMsg2": "El checkpoint del modelo no se eliminará de tu disco. Puedes volver a añadirlo si lo deseas."
+        "deleteMsg2": "El checkpoint del modelo no se eliminará de tu disco. Puedes volver a añadirlo si lo deseas.",
+        "safetensorModels": "SafeTensors",
+        "addDiffuserModel": "Añadir difusores",
+        "inpainting": "v1 Repintado",
+        "repoIDValidationMsg": "Repositorio en línea de tu modelo",
+        "checkpointModels": "Puntos de control",
+        "convertToDiffusersHelpText4": "Este proceso se realiza una sola vez. Puede tardar entre 30 y 60 segundos dependiendo de las especificaciones de tu ordenador.",
+        "diffusersModels": "Difusores",
+        "addCheckpointModel": "Agregar modelo de punto de control/Modelo Safetensor",
+        "vaeRepoID": "Identificador del repositorio de VAE",
+        "vaeRepoIDValidationMsg": "Repositorio en línea de tú VAE",
+        "formMessageDiffusersModelLocation": "Difusores Modelo Ubicación",
+        "formMessageDiffusersModelLocationDesc": "Por favor, introduzca al menos uno.",
+        "formMessageDiffusersVAELocation": "Ubicación VAE",
+        "formMessageDiffusersVAELocationDesc": "Si no se proporciona, InvokeAI buscará el archivo VAE dentro de la ubicación del modelo indicada anteriormente.",
+        "convert": "Convertir",
+        "convertToDiffusers": "Convertir en difusores",
+        "convertToDiffusersHelpText1": "Este modelo se convertirá al formato 🧨 Difusores.",
+        "convertToDiffusersHelpText2": "Este proceso sustituirá su entrada del Gestor de Modelos por la versión de Difusores del mismo modelo.",
+        "convertToDiffusersHelpText3": "Su archivo de puntos de control en el disco NO será borrado ni modificado de ninguna manera. Puede volver a añadir su punto de control al Gestor de Modelos si lo desea.",
+        "convertToDiffusersHelpText5": "Asegúrese de que dispone de suficiente espacio en disco. Los modelos suelen variar entre 4 GB y 7 GB de tamaño.",
+        "convertToDiffusersHelpText6": "¿Desea transformar este modelo?",
+        "convertToDiffusersSaveLocation": "Guardar ubicación",
+        "v1": "v1",
+        "v2": "v2",
+        "statusConverting": "Adaptar",
+        "modelConverted": "Modelo adaptado",
+        "sameFolder": "La misma carpeta",
+        "invokeRoot": "Carpeta InvokeAI",
+        "custom": "Personalizado",
+        "customSaveLocation": "Ubicación personalizada para guardar",
+        "merge": "Fusión",
+        "modelsMerged": "Modelos fusionados",
+        "mergeModels": "Combinar modelos",
+        "modelOne": "Modelo 1",
+        "modelTwo": "Modelo 2",
+        "modelThree": "Modelo 3",
+        "mergedModelName": "Nombre del modelo combinado",
+        "alpha": "Alfa",
+        "interpolationType": "Tipo de interpolación",
+        "mergedModelSaveLocation": "Guardar ubicación",
+        "mergedModelCustomSaveLocation": "Ruta personalizada",
+        "invokeAIFolder": "Invocar carpeta de la inteligencia artificial",
+        "modelMergeHeaderHelp2": "Sólo se pueden fusionar difusores. Si desea fusionar un modelo de punto de control, conviértalo primero en difusores.",
+        "modelMergeAlphaHelp": "Alfa controla la fuerza de mezcla de los modelos. Los valores alfa más bajos reducen la influencia del segundo modelo.",
+        "modelMergeInterpAddDifferenceHelp": "En este modo, el Modelo 3 se sustrae primero del Modelo 2. La versión resultante se mezcla con el Modelo 1 con la tasa alfa establecida anteriormente. La versión resultante se mezcla con el Modelo 1 con la tasa alfa establecida anteriormente.",
+        "ignoreMismatch": "Ignorar discrepancias entre modelos seleccionados",
+        "modelMergeHeaderHelp1": "Puede combinar hasta tres modelos diferentes para crear una mezcla que se adapte a sus necesidades.",
+        "inverseSigmoid": "Sigmoideo inverso",
+        "weightedSum": "Modelo de suma ponderada",
+        "sigmoid": "Función sigmoide",
+        "allModels": "Todos los modelos",
+        "repo_id": "Identificador del repositorio",
+        "pathToCustomConfig": "Ruta a la configuración personalizada",
+        "customConfig": "Configuración personalizada"
    },
    "parameters": {
        "images": "Imágenes",
@@ -380,7 +453,22 @@
        "info": "Información",
        "deleteImage": "Eliminar Imagen",
        "initialImage": "Imagen Inicial",
-        "showOptionsPanel": "Mostrar panel de opciones"
+        "showOptionsPanel": "Mostrar panel de opciones",
+        "symmetry": "Simetría",
+        "vSymmetryStep": "Paso de simetría V",
+        "hSymmetryStep": "Paso de simetría H",
+        "cancel": {
+            "immediate": "Cancelar inmediatamente",
+            "schedule": "Cancelar tras la iteración actual",
+            "isScheduled": "Cancelando",
+            "setType": "Tipo de cancelación"
+        },
+        "copyImage": "Copiar la imagen",
+        "general": "General",
+        "negativePrompts": "Preguntas negativas",
+        "imageToImage": "Imagen a imagen",
+        "denoisingStrength": "Intensidad de la eliminación del ruido",
+        "hiresStrength": "Alta resistencia"
    },
    "settings": {
        "models": "Modelos",
@@ -393,7 +481,8 @@
        "resetWebUI": "Restablecer interfaz web",
        "resetWebUIDesc1": "Al restablecer la interfaz web, solo se restablece la caché local del navegador de sus imágenes y la configuración guardada. No se elimina ninguna imagen de su disco duro.",
        "resetWebUIDesc2": "Si las imágenes no se muestran en la galería o algo más no funciona, intente restablecer antes de reportar un incidente en GitHub.",
-        "resetComplete": "La interfaz web se ha restablecido. Actualice la página para recargarla."
+        "resetComplete": "La interfaz web se ha restablecido. Actualice la página para recargarla.",
+        "useSlidersForAll": "Utilice controles deslizantes para todas las opciones"
    },
    "toast": {
        "tempFoldersEmptied": "Directorio temporal vaciado",
@@ -431,12 +520,12 @@
        "feature": {
            "prompt": "Este campo tomará todo el texto de entrada, incluidos tanto los términos de contenido como los estilísticos. Si bien se pueden incluir pesos en la solicitud, los comandos/parámetros estándar de línea de comandos no funcionarán.",
            "gallery": "Conforme se generan nuevas invocaciones, los archivos del directorio de salida se mostrarán aquí. Las generaciones tienen opciones adicionales para configurar nuevas generaciones.",
-            "other": "Estas opciones habilitarán modos de procesamiento alternativos para Invoke. El modo sin costuras funciona para generar patrones repetitivos en la salida. La optimización de alta resolución realiza un ciclo de generación de dos pasos y debe usarse en resoluciones más altas cuando desee una imagen/composición más coherente.",
+            "other": "Estas opciones habilitarán modos de procesamiento alternativos para Invoke. 'Seamless mosaico' creará patrones repetitivos en la salida. 'Alta resolución' es la generación en dos pasos con img2img: use esta configuración cuando desee una imagen más grande y más coherente sin artefactos. tomar más tiempo de lo habitual txt2img.",
            "seed": "Los valores de semilla proporcionan un conjunto inicial de ruido que guían el proceso de eliminación de ruido y se pueden aleatorizar o rellenar con una semilla de una invocación anterior. La función Umbral se puede usar para mitigar resultados indeseables a valores CFG más altos (intente entre 0-10), y Perlin se puede usar para agregar ruido Perlin al proceso de eliminación de ruido. Ambos sirven para agregar variación a sus salidas.",
            "variations": "Pruebe una variación con una cantidad entre 0 y 1 para cambiar la imagen de salida para la semilla establecida. Se encuentran variaciones interesantes en la semilla entre 0.1 y 0.3.",
            "upscale": "Usando ESRGAN, puede aumentar la resolución de salida sin requerir un ancho/alto más alto en la generación inicial.",
            "faceCorrection": "Usando GFPGAN o Codeformer, la corrección de rostros intentará identificar rostros en las salidas y corregir cualquier defecto/anormalidad. Los valores de fuerza más altos aplicarán una presión correctiva más fuerte en las salidas, lo que resultará en rostros más atractivos. Con Codeformer, una mayor fidelidad intentará preservar la imagen original, a expensas de la fuerza de corrección de rostros.",
-            "imageToImage": "Imagen a Imagen permite cargar una imagen inicial, que InvokeAI usará para guiar el proceso de generación, junto con una solicitud. Un valor más bajo para esta configuración se parecerá más a la imagen original. Se aceptan valores entre 0-1, y se recomienda un rango de .25-.75.",
+            "imageToImage": "Imagen a Imagen permite cargar una imagen inicial, que InvokeAI usará para guiar el proceso de generación, junto con una solicitud. Un valor más bajo para esta configuración se parecerá más a la imagen original. Se aceptan valores entre 0-1, y se recomienda un rango de .25-.75",
            "boundingBox": "La caja delimitadora es análoga a las configuraciones de Ancho y Alto para Texto a Imagen o Imagen a Imagen. Solo se procesará el área en la caja.",
            "seamCorrection": "Controla el manejo de parches visibles que pueden ocurrir cuando se pega una imagen generada de nuevo en el lienzo.",
            "infillAndScaling": "Administra los métodos de relleno (utilizados en áreas enmascaradas o borradas del lienzo) y la escala (útil para tamaños de caja delimitadora pequeños)."
--- a/invokeai/frontend/dist/locales/it.json
+++ b/invokeai/frontend/dist/locales/it.json
@@ -465,7 +465,10 @@
            "isScheduled": "Annullamento",
            "setType": "Imposta il tipo di annullamento",
            "immediate": "Annulla immediatamente"
-        }
+        },
+        "hSymmetryStep": "Passi Simmetria Orizzontale",
+        "vSymmetryStep": "Passi Simmetria Verticale",
+        "symmetry": "Simmetria"
    },
    "settings": {
        "models": "Modelli",
--- a/invokeai/frontend/dist/locales/pt_BR.json
+++ b/invokeai/frontend/dist/locales/pt_BR.json
@@ -44,7 +44,26 @@
        "statusUpscaling": "Redimensinando",
        "statusUpscalingESRGAN": "Redimensinando (ESRGAN)",
        "statusLoadingModel": "Carregando Modelo",
-        "statusModelChanged": "Modelo Alterado"
+        "statusModelChanged": "Modelo Alterado",
+        "githubLabel": "Github",
+        "discordLabel": "Discord",
+        "langArabic": "Árabe",
+        "langEnglish": "Inglês",
+        "langDutch": "Holandês",
+        "langFrench": "Francês",
+        "langGerman": "Alemão",
+        "langItalian": "Italiano",
+        "langJapanese": "Japonês",
+        "langPolish": "Polonês",
+        "langSimplifiedChinese": "Chinês",
+        "langUkranian": "Ucraniano",
+        "back": "Voltar",
+        "statusConvertingModel": "Convertendo Modelo",
+        "statusModelConverted": "Modelo Convertido",
+        "statusMergingModels": "Mesclando Modelos",
+        "statusMergedModels": "Modelos Mesclados",
+        "langRussian": "Russo",
+        "langSpanish": "Espanhol"
    },
    "gallery": {
        "generations": "Gerações",
@@ -237,7 +256,7 @@
            "desc": "Salva a tela atual na galeria"
        },
        "copyToClipboard": {
-            "title": "Copiar Para a Área de Transferência ",
+            "title": "Copiar para a Área de Transferência",
            "desc": "Copia a tela atual para a área de transferência"
        },
        "downloadImage": {
@@ -284,7 +303,7 @@
        "nameValidationMsg": "Insira um nome para o seu modelo",
        "description": "Descrição",
        "descriptionValidationMsg": "Adicione uma descrição para o seu modelo",
-        "config": "Config",
+        "config": "Configuração",
        "configValidationMsg": "Caminho para o arquivo de configuração do seu modelo.",
        "modelLocation": "Localização do modelo",
        "modelLocationValidationMsg": "Caminho para onde seu modelo está localizado.",
@@ -317,7 +336,52 @@
        "deleteModel": "Excluir modelo",
        "deleteConfig": "Excluir Config",
        "deleteMsg1": "Tem certeza de que deseja excluir esta entrada do modelo de InvokeAI?",
-        "deleteMsg2": "Isso não vai excluir o arquivo de modelo checkpoint do seu disco. Você pode lê-los, se desejar."
+        "deleteMsg2": "Isso não vai excluir o arquivo de modelo checkpoint do seu disco. Você pode lê-los, se desejar.",
+        "checkpointModels": "Checkpoints",
+        "diffusersModels": "Diffusers",
+        "safetensorModels": "SafeTensors",
+        "addCheckpointModel": "Adicionar Modelo de Checkpoint/Safetensor",
+        "addDiffuserModel": "Adicionar Diffusers",
+        "repo_id": "Repo ID",
+        "vaeRepoID": "VAE Repo ID",
+        "vaeRepoIDValidationMsg": "Repositório Online do seu VAE",
+        "scanAgain": "Digitalize Novamente",
+        "selectAndAdd": "Selecione e Adicione Modelos Listados Abaixo",
+        "noModelsFound": "Nenhum Modelo Encontrado",
+        "formMessageDiffusersModelLocation": "Localização dos Modelos Diffusers",
+        "formMessageDiffusersModelLocationDesc": "Por favor entre com ao menos um.",
+        "formMessageDiffusersVAELocation": "Localização do VAE",
+        "formMessageDiffusersVAELocationDesc": "Se não provido, InvokeAI irá procurar pelo arquivo VAE dentro do local do modelo.",
+        "convertToDiffusers": "Converter para Diffusers",
+        "convertToDiffusersHelpText1": "Este modelo será convertido para o formato 🧨 Diffusers.",
+        "convertToDiffusersHelpText5": "Por favor, certifique-se de que você tenha espaço suficiente em disco. Os modelos geralmente variam entre 4GB e 7GB de tamanho.",
+        "convertToDiffusersHelpText6": "Você deseja converter este modelo?",
+        "convertToDiffusersSaveLocation": "Local para Salvar",
+        "v1": "v1",
+        "v2": "v2",
+        "inpainting": "v1 Inpainting",
+        "customConfig": "Configuração personalizada",
+        "pathToCustomConfig": "Caminho para configuração personalizada",
+        "convertToDiffusersHelpText3": "Seu arquivo de ponto de verificação no disco NÃO será excluído ou modificado de forma alguma. Você pode adicionar seu ponto de verificação ao Gerenciador de modelos novamente, se desejar.",
+        "convertToDiffusersHelpText4": "Este é um processo único. Pode levar cerca de 30 a 60s, dependendo das especificações do seu computador.",
+        "merge": "Mesclar",
+        "modelsMerged": "Modelos mesclados",
+        "mergeModels": "Mesclar modelos",
+        "modelOne": "Modelo 1",
+        "modelTwo": "Modelo 2",
+        "modelThree": "Modelo 3",
+        "statusConverting": "Convertendo",
+        "modelConverted": "Modelo Convertido",
+        "sameFolder": "Mesma pasta",
+        "invokeRoot": "Pasta do InvokeAI",
+        "custom": "Personalizado",
+        "customSaveLocation": "Local de salvamento personalizado",
+        "mergedModelName": "Nome do modelo mesclado",
+        "alpha": "Alpha",
+        "allModels": "Todos os Modelos",
+        "repoIDValidationMsg": "Repositório Online do seu Modelo",
+        "convert": "Converter",
+        "convertToDiffusersHelpText2": "Este processo irá substituir sua entrada de Gerenciador de Modelos por uma versão Diffusers do mesmo modelo."
    },
    "parameters": {
        "images": "Imagems",
@@ -442,14 +506,14 @@
        "move": "Mover",
        "resetView": "Resetar Visualização",
        "mergeVisible": "Fundir Visível",
-        "saveToGallery": "Save To Gallery",
+        "saveToGallery": "Salvar na Galeria",
        "copyToClipboard": "Copiar para a Área de Transferência",
        "downloadAsImage": "Baixar Como Imagem",
        "undo": "Desfazer",
        "redo": "Refazer",
        "clearCanvas": "Limpar Tela",
        "canvasSettings": "Configurações de Tela",
-        "showIntermediates": "Show Intermediates",
+        "showIntermediates": "Mostrar Intermediários",
        "showGrid": "Mostrar Grade",
        "snapToGrid": "Encaixar na Grade",
        "darkenOutsideSelection": "Escurecer Seleção Externa",
--- a/invokeai/frontend/dist/locales/ro.json
+++ b/invokeai/frontend/dist/locales/ro.json
@@ -0,0 +1 @@
+{}
--- a/invokeai/frontend/dist/locales/ru.json
+++ b/invokeai/frontend/dist/locales/ru.json
@@ -4,7 +4,7 @@
        "themeLabel": "Тема",
        "languagePickerLabel": "Язык",
        "reportBugLabel": "Сообщить об ошибке",
-        "settingsLabel": "Настройка",
+        "settingsLabel": "Настройки",
        "darkTheme": "Темная",
        "lightTheme": "Светлая",
        "greenTheme": "Зеленая",
@@ -17,9 +17,9 @@
        "postProcessing": "Постобработка",
        "postProcessDesc1": "Invoke AI предлагает широкий спектр функций постобработки. Увеличение изображения (upscale) и восстановление лиц уже доступны в интерфейсе. Получите доступ к ним из меню 'Дополнительные параметры' на вкладках 'Текст в изображение' и 'Изображение в изображение'. Обрабатывайте изображения напрямую, используя кнопки действий с изображениями над текущим изображением или в режиме просмотра.",
        "postProcessDesc2": "В ближайшее время будет выпущен специальный интерфейс для более продвинутых процессов постобработки.",
-        "postProcessDesc3": "Интерфейс командной строки Invoke AI предлагает различные другие функции, включая увеличение Embiggen",
+        "postProcessDesc3": "Интерфейс командной строки Invoke AI предлагает различные другие функции, включая Embiggen.",
        "training": "Обучение",
-        "trainingDesc1": "Специальный интерфейс для обучения собственных моделей с использованием Textual Inversion и Dreambooth",
+        "trainingDesc1": "Специальный интерфейс для обучения собственных моделей с использованием Textual Inversion и Dreambooth.",
        "trainingDesc2": "InvokeAI уже поддерживает обучение моделей с помощью TI, через интерфейс командной строки.",
        "upload": "Загрузить",
        "close": "Закрыть",
@@ -44,7 +44,9 @@
        "statusUpscaling": "Увеличение",
        "statusUpscalingESRGAN": "Увеличение (ESRGAN)",
        "statusLoadingModel": "Загрузка модели",
-        "statusModelChanged": "Модель изменена"
+        "statusModelChanged": "Модель изменена",
+        "githubLabel": "Github",
+        "discordLabel": "Discord"
    },
    "gallery": {
        "generations": "Генерации",
@@ -285,15 +287,15 @@
        "description": "Описание",
        "descriptionValidationMsg": "Введите описание модели",
        "config": "Файл конфигурации",
-        "configValidationMsg": "Путь до файла конфигурации",
+        "configValidationMsg": "Путь до файла конфигурации.",
        "modelLocation": "Расположение модели",
-        "modelLocationValidationMsg": "Путь до файла с моделью",
+        "modelLocationValidationMsg": "Путь до файла с моделью.",
        "vaeLocation": "Расположение VAE",
-        "vaeLocationValidationMsg": "Путь до VAE",
+        "vaeLocationValidationMsg": "Путь до файла VAE.",
        "width": "Ширина",
-        "widthValidationMsg": "Исходная ширина изображений",
+        "widthValidationMsg": "Исходная ширина изображений модели.",
        "height": "Высота",
-        "heightValidationMsg": "Исходная высота изображений",
+        "heightValidationMsg": "Исходная высота изображений модели.",
        "addModel": "Добавить модель",
        "updateModel": "Обновить модель",
        "availableModels": "Доступные модели",
@@ -320,7 +322,8 @@
        "deleteModel": "Удалить модель",
        "deleteConfig": "Удалить конфигурацию",
        "deleteMsg1": "Вы точно хотите удалить модель из InvokeAI?",
-        "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова."
+        "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова.",
+        "repoIDValidationMsg": "Онлайн-репозиторий модели"
    },
    "parameters": {
        "images": "Изображения",
@@ -411,15 +414,15 @@
        "sentToUnifiedCanvas": "Отправить на холст",
        "parametersSet": "Параметры заданы",
        "parametersNotSet": "Параметры не заданы",
-        "parametersNotSetDesc": "Не найдены метаданные этого изображения",
+        "parametersNotSetDesc": "Не найдены метаданные изображения.",
        "parametersFailed": "Проблема с загрузкой параметров",
-        "parametersFailedDesc": "Невозможно загрузить исходное изображение",
+        "parametersFailedDesc": "Невозможно загрузить исходное изображение.",
        "seedSet": "Сид задан",
        "seedNotSet": "Сид не задан",
-        "seedNotSetDesc": "Не удалось найти сид для изображения",
+        "seedNotSetDesc": "Не удалось найти сид для изображения.",
        "promptSet": "Запрос задан",
        "promptNotSet": "Запрос не задан",
-        "promptNotSetDesc": "Не удалось найти запрос для изображения",
+        "promptNotSetDesc": "Не удалось найти запрос для изображения.",
        "upscalingFailed": "Увеличение не удалось",
        "faceRestoreFailed": "Восстановление лиц не удалось",
        "metadataLoadFailed": "Не удалось загрузить метаданные",
@@ -477,7 +480,7 @@
        "showCanvasDebugInfo": "Показать отладку холста",
        "clearCanvasHistory": "Очистить историю холста",
        "clearHistory": "Очистить историю",
-        "clearCanvasHistoryMessage": "Очистка истории холста оставляет текущий холст нетронутым, но удаляет историю отмены и повтора",
+        "clearCanvasHistoryMessage": "Очистка истории холста оставляет текущий холст нетронутым, но удаляет историю отмен и повторов.",
        "clearCanvasHistoryConfirm": "Вы уверены, что хотите очистить историю холста?",
        "emptyTempImageFolder": "Очистить временную папку",
        "emptyFolder": "Очистить папку",
--- a/invokeai/frontend/public/locales/en.json
+++ b/invokeai/frontend/public/locales/en.json
@@ -63,7 +63,8 @@
        "statusConvertingModel": "Converting Model",
        "statusModelConverted": "Model Converted",
        "statusMergingModels": "Merging Models",
-        "statusMergedModels": "Models Merged"
+        "statusMergedModels": "Models Merged",
+        "pinOptionsPanel": "Pin Options Panel"
    },
    "gallery": {
        "generations": "Generations",
@@ -393,7 +394,9 @@
        "modelMergeInterpAddDifferenceHelp": "In this mode, Model 3 is first subtracted from Model 2. The resulting version is blended with Model 1 with the alpha rate set above.",
        "inverseSigmoid": "Inverse Sigmoid",
        "sigmoid": "Sigmoid",
-        "weightedSum": "Weighted Sum"
+        "weightedSum": "Weighted Sum",
+        "none": "none",
+        "addDifference": "Add Difference"
    },
    "parameters": {
        "general": "General",
--- a/invokeai/frontend/public/locales/es.json
+++ b/invokeai/frontend/public/locales/es.json
@@ -15,7 +15,7 @@
        "langSpanish": "Español",
        "nodesDesc": "Un sistema de generación de imágenes basado en nodos, actualmente se encuentra en desarrollo. Mantente pendiente a nuestras actualizaciones acerca de esta fabulosa funcionalidad.",
        "postProcessing": "Post-procesamiento",
-        "postProcessDesc1": "Invoke AI ofrece una gran variedad de funciones de post-procesamiento, El aumento de tamaño y Restauración de Rostros ya se encuentran disponibles en la interfaz web, puedes acceder desde el menú de Opciones Avanzadas en las pestañas de Texto a Imagen y de Imagen a Imagen. También puedes acceder a estas funciones directamente mediante el botón de acciones en el menú superior de la imagen actual o en el visualizador",
+        "postProcessDesc1": "Invoke AI ofrece una gran variedad de funciones de post-procesamiento, El aumento de tamaño y Restauración de Rostros ya se encuentran disponibles en la interfaz web, puedes acceder desde el menú de Opciones Avanzadas en las pestañas de Texto a Imagen y de Imagen a Imagen. También puedes acceder a estas funciones directamente mediante el botón de acciones en el menú superior de la imagen actual o en el visualizador.",
        "postProcessDesc2": "Una interfaz de usuario dedicada se lanzará pronto para facilitar flujos de trabajo de postprocesamiento más avanzado.",
        "postProcessDesc3": "La Interfaz de Línea de Comandos de Invoke AI ofrece muchas otras características, incluyendo -Embiggen-.",
        "training": "Entrenamiento",
@@ -44,7 +44,26 @@
        "statusUpscaling": "Aumentando Tamaño",
        "statusUpscalingESRGAN": "Restaurando Rostros(ESRGAN)",
        "statusLoadingModel": "Cargando Modelo",
-        "statusModelChanged": "Modelo cambiado"
+        "statusModelChanged": "Modelo cambiado",
+        "statusMergedModels": "Modelos combinados",
+        "githubLabel": "Github",
+        "discordLabel": "Discord",
+        "langEnglish": "Inglés",
+        "langDutch": "Holandés",
+        "langFrench": "Francés",
+        "langGerman": "Alemán",
+        "langItalian": "Italiano",
+        "langArabic": "Árabe",
+        "langJapanese": "Japones",
+        "langPolish": "Polaco",
+        "langBrPortuguese": "Portugués brasileño",
+        "langRussian": "Ruso",
+        "langSimplifiedChinese": "Chino simplificado",
+        "langUkranian": "Ucraniano",
+        "back": "Atrás",
+        "statusConvertingModel": "Convertir el modelo",
+        "statusModelConverted": "Modelo adaptado",
+        "statusMergingModels": "Fusionar modelos"
    },
    "gallery": {
        "generations": "Generaciones",
@@ -284,16 +303,16 @@
        "nameValidationMsg": "Introduce un nombre para tu modelo",
        "description": "Descripción",
        "descriptionValidationMsg": "Introduce una descripción para tu modelo",
-        "config": "Config",
-        "configValidationMsg": "Ruta del archivo de configuración del modelo",
+        "config": "Configurar",
+        "configValidationMsg": "Ruta del archivo de configuración del modelo.",
        "modelLocation": "Ubicación del Modelo",
-        "modelLocationValidationMsg": "Ruta del archivo de modelo",
+        "modelLocationValidationMsg": "Ruta del archivo de modelo.",
        "vaeLocation": "Ubicación VAE",
-        "vaeLocationValidationMsg": "Ruta del archivo VAE",
+        "vaeLocationValidationMsg": "Ruta del archivo VAE.",
        "width": "Ancho",
-        "widthValidationMsg": "Ancho predeterminado de tu modelo",
+        "widthValidationMsg": "Ancho predeterminado de tu modelo.",
        "height": "Alto",
-        "heightValidationMsg": "Alto predeterminado de tu modelo",
+        "heightValidationMsg": "Alto predeterminado de tu modelo.",
        "addModel": "Añadir Modelo",
        "updateModel": "Actualizar Modelo",
        "availableModels": "Modelos disponibles",
@@ -320,7 +339,61 @@
        "deleteModel": "Eliminar Modelo",
        "deleteConfig": "Eliminar Configuración",
        "deleteMsg1": "¿Estás seguro de querer eliminar esta entrada de modelo de InvokeAI?",
-        "deleteMsg2": "El checkpoint del modelo no se eliminará de tu disco. Puedes volver a añadirlo si lo deseas."
+        "deleteMsg2": "El checkpoint del modelo no se eliminará de tu disco. Puedes volver a añadirlo si lo deseas.",
+        "safetensorModels": "SafeTensors",
+        "addDiffuserModel": "Añadir difusores",
+        "inpainting": "v1 Repintado",
+        "repoIDValidationMsg": "Repositorio en línea de tu modelo",
+        "checkpointModels": "Puntos de control",
+        "convertToDiffusersHelpText4": "Este proceso se realiza una sola vez. Puede tardar entre 30 y 60 segundos dependiendo de las especificaciones de tu ordenador.",
+        "diffusersModels": "Difusores",
+        "addCheckpointModel": "Agregar modelo de punto de control/Modelo Safetensor",
+        "vaeRepoID": "Identificador del repositorio de VAE",
+        "vaeRepoIDValidationMsg": "Repositorio en línea de tú VAE",
+        "formMessageDiffusersModelLocation": "Difusores Modelo Ubicación",
+        "formMessageDiffusersModelLocationDesc": "Por favor, introduzca al menos uno.",
+        "formMessageDiffusersVAELocation": "Ubicación VAE",
+        "formMessageDiffusersVAELocationDesc": "Si no se proporciona, InvokeAI buscará el archivo VAE dentro de la ubicación del modelo indicada anteriormente.",
+        "convert": "Convertir",
+        "convertToDiffusers": "Convertir en difusores",
+        "convertToDiffusersHelpText1": "Este modelo se convertirá al formato 🧨 Difusores.",
+        "convertToDiffusersHelpText2": "Este proceso sustituirá su entrada del Gestor de Modelos por la versión de Difusores del mismo modelo.",
+        "convertToDiffusersHelpText3": "Su archivo de puntos de control en el disco NO será borrado ni modificado de ninguna manera. Puede volver a añadir su punto de control al Gestor de Modelos si lo desea.",
+        "convertToDiffusersHelpText5": "Asegúrese de que dispone de suficiente espacio en disco. Los modelos suelen variar entre 4 GB y 7 GB de tamaño.",
+        "convertToDiffusersHelpText6": "¿Desea transformar este modelo?",
+        "convertToDiffusersSaveLocation": "Guardar ubicación",
+        "v1": "v1",
+        "v2": "v2",
+        "statusConverting": "Adaptar",
+        "modelConverted": "Modelo adaptado",
+        "sameFolder": "La misma carpeta",
+        "invokeRoot": "Carpeta InvokeAI",
+        "custom": "Personalizado",
+        "customSaveLocation": "Ubicación personalizada para guardar",
+        "merge": "Fusión",
+        "modelsMerged": "Modelos fusionados",
+        "mergeModels": "Combinar modelos",
+        "modelOne": "Modelo 1",
+        "modelTwo": "Modelo 2",
+        "modelThree": "Modelo 3",
+        "mergedModelName": "Nombre del modelo combinado",
+        "alpha": "Alfa",
+        "interpolationType": "Tipo de interpolación",
+        "mergedModelSaveLocation": "Guardar ubicación",
+        "mergedModelCustomSaveLocation": "Ruta personalizada",
+        "invokeAIFolder": "Invocar carpeta de la inteligencia artificial",
+        "modelMergeHeaderHelp2": "Sólo se pueden fusionar difusores. Si desea fusionar un modelo de punto de control, conviértalo primero en difusores.",
+        "modelMergeAlphaHelp": "Alfa controla la fuerza de mezcla de los modelos. Los valores alfa más bajos reducen la influencia del segundo modelo.",
+        "modelMergeInterpAddDifferenceHelp": "En este modo, el Modelo 3 se sustrae primero del Modelo 2. La versión resultante se mezcla con el Modelo 1 con la tasa alfa establecida anteriormente. La versión resultante se mezcla con el Modelo 1 con la tasa alfa establecida anteriormente.",
+        "ignoreMismatch": "Ignorar discrepancias entre modelos seleccionados",
+        "modelMergeHeaderHelp1": "Puede combinar hasta tres modelos diferentes para crear una mezcla que se adapte a sus necesidades.",
+        "inverseSigmoid": "Sigmoideo inverso",
+        "weightedSum": "Modelo de suma ponderada",
+        "sigmoid": "Función sigmoide",
+        "allModels": "Todos los modelos",
+        "repo_id": "Identificador del repositorio",
+        "pathToCustomConfig": "Ruta a la configuración personalizada",
+        "customConfig": "Configuración personalizada"
    },
    "parameters": {
        "images": "Imágenes",
@@ -380,7 +453,22 @@
        "info": "Información",
        "deleteImage": "Eliminar Imagen",
        "initialImage": "Imagen Inicial",
-        "showOptionsPanel": "Mostrar panel de opciones"
+        "showOptionsPanel": "Mostrar panel de opciones",
+        "symmetry": "Simetría",
+        "vSymmetryStep": "Paso de simetría V",
+        "hSymmetryStep": "Paso de simetría H",
+        "cancel": {
+            "immediate": "Cancelar inmediatamente",
+            "schedule": "Cancelar tras la iteración actual",
+            "isScheduled": "Cancelando",
+            "setType": "Tipo de cancelación"
+        },
+        "copyImage": "Copiar la imagen",
+        "general": "General",
+        "negativePrompts": "Preguntas negativas",
+        "imageToImage": "Imagen a imagen",
+        "denoisingStrength": "Intensidad de la eliminación del ruido",
+        "hiresStrength": "Alta resistencia"
    },
    "settings": {
        "models": "Modelos",
@@ -393,7 +481,8 @@
        "resetWebUI": "Restablecer interfaz web",
        "resetWebUIDesc1": "Al restablecer la interfaz web, solo se restablece la caché local del navegador de sus imágenes y la configuración guardada. No se elimina ninguna imagen de su disco duro.",
        "resetWebUIDesc2": "Si las imágenes no se muestran en la galería o algo más no funciona, intente restablecer antes de reportar un incidente en GitHub.",
-        "resetComplete": "La interfaz web se ha restablecido. Actualice la página para recargarla."
+        "resetComplete": "La interfaz web se ha restablecido. Actualice la página para recargarla.",
+        "useSlidersForAll": "Utilice controles deslizantes para todas las opciones"
    },
    "toast": {
        "tempFoldersEmptied": "Directorio temporal vaciado",
@@ -431,12 +520,12 @@
        "feature": {
            "prompt": "Este campo tomará todo el texto de entrada, incluidos tanto los términos de contenido como los estilísticos. Si bien se pueden incluir pesos en la solicitud, los comandos/parámetros estándar de línea de comandos no funcionarán.",
            "gallery": "Conforme se generan nuevas invocaciones, los archivos del directorio de salida se mostrarán aquí. Las generaciones tienen opciones adicionales para configurar nuevas generaciones.",
-            "other": "Estas opciones habilitarán modos de procesamiento alternativos para Invoke. El modo sin costuras funciona para generar patrones repetitivos en la salida. La optimización de alta resolución realiza un ciclo de generación de dos pasos y debe usarse en resoluciones más altas cuando desee una imagen/composición más coherente.",
+            "other": "Estas opciones habilitarán modos de procesamiento alternativos para Invoke. 'Seamless mosaico' creará patrones repetitivos en la salida. 'Alta resolución' es la generación en dos pasos con img2img: use esta configuración cuando desee una imagen más grande y más coherente sin artefactos. tomar más tiempo de lo habitual txt2img.",
            "seed": "Los valores de semilla proporcionan un conjunto inicial de ruido que guían el proceso de eliminación de ruido y se pueden aleatorizar o rellenar con una semilla de una invocación anterior. La función Umbral se puede usar para mitigar resultados indeseables a valores CFG más altos (intente entre 0-10), y Perlin se puede usar para agregar ruido Perlin al proceso de eliminación de ruido. Ambos sirven para agregar variación a sus salidas.",
            "variations": "Pruebe una variación con una cantidad entre 0 y 1 para cambiar la imagen de salida para la semilla establecida. Se encuentran variaciones interesantes en la semilla entre 0.1 y 0.3.",
            "upscale": "Usando ESRGAN, puede aumentar la resolución de salida sin requerir un ancho/alto más alto en la generación inicial.",
            "faceCorrection": "Usando GFPGAN o Codeformer, la corrección de rostros intentará identificar rostros en las salidas y corregir cualquier defecto/anormalidad. Los valores de fuerza más altos aplicarán una presión correctiva más fuerte en las salidas, lo que resultará en rostros más atractivos. Con Codeformer, una mayor fidelidad intentará preservar la imagen original, a expensas de la fuerza de corrección de rostros.",
-            "imageToImage": "Imagen a Imagen permite cargar una imagen inicial, que InvokeAI usará para guiar el proceso de generación, junto con una solicitud. Un valor más bajo para esta configuración se parecerá más a la imagen original. Se aceptan valores entre 0-1, y se recomienda un rango de .25-.75.",
+            "imageToImage": "Imagen a Imagen permite cargar una imagen inicial, que InvokeAI usará para guiar el proceso de generación, junto con una solicitud. Un valor más bajo para esta configuración se parecerá más a la imagen original. Se aceptan valores entre 0-1, y se recomienda un rango de .25-.75",
            "boundingBox": "La caja delimitadora es análoga a las configuraciones de Ancho y Alto para Texto a Imagen o Imagen a Imagen. Solo se procesará el área en la caja.",
            "seamCorrection": "Controla el manejo de parches visibles que pueden ocurrir cuando se pega una imagen generada de nuevo en el lienzo.",
            "infillAndScaling": "Administra los métodos de relleno (utilizados en áreas enmascaradas o borradas del lienzo) y la escala (útil para tamaños de caja delimitadora pequeños)."
--- a/invokeai/frontend/public/locales/it.json
+++ b/invokeai/frontend/public/locales/it.json
@@ -465,7 +465,10 @@
            "isScheduled": "Annullamento",
            "setType": "Imposta il tipo di annullamento",
            "immediate": "Annulla immediatamente"
-        }
+        },
+        "hSymmetryStep": "Passi Simmetria Orizzontale",
+        "vSymmetryStep": "Passi Simmetria Verticale",
+        "symmetry": "Simmetria"
    },
    "settings": {
        "models": "Modelli",
--- a/invokeai/frontend/public/locales/pt_BR.json
+++ b/invokeai/frontend/public/locales/pt_BR.json
@@ -44,7 +44,26 @@
        "statusUpscaling": "Redimensinando",
        "statusUpscalingESRGAN": "Redimensinando (ESRGAN)",
        "statusLoadingModel": "Carregando Modelo",
-        "statusModelChanged": "Modelo Alterado"
+        "statusModelChanged": "Modelo Alterado",
+        "githubLabel": "Github",
+        "discordLabel": "Discord",
+        "langArabic": "Árabe",
+        "langEnglish": "Inglês",
+        "langDutch": "Holandês",
+        "langFrench": "Francês",
+        "langGerman": "Alemão",
+        "langItalian": "Italiano",
+        "langJapanese": "Japonês",
+        "langPolish": "Polonês",
+        "langSimplifiedChinese": "Chinês",
+        "langUkranian": "Ucraniano",
+        "back": "Voltar",
+        "statusConvertingModel": "Convertendo Modelo",
+        "statusModelConverted": "Modelo Convertido",
+        "statusMergingModels": "Mesclando Modelos",
+        "statusMergedModels": "Modelos Mesclados",
+        "langRussian": "Russo",
+        "langSpanish": "Espanhol"
    },
    "gallery": {
        "generations": "Gerações",
@@ -237,7 +256,7 @@
            "desc": "Salva a tela atual na galeria"
        },
        "copyToClipboard": {
-            "title": "Copiar Para a Área de Transferência ",
+            "title": "Copiar para a Área de Transferência",
            "desc": "Copia a tela atual para a área de transferência"
        },
        "downloadImage": {
@@ -284,7 +303,7 @@
        "nameValidationMsg": "Insira um nome para o seu modelo",
        "description": "Descrição",
        "descriptionValidationMsg": "Adicione uma descrição para o seu modelo",
-        "config": "Config",
+        "config": "Configuração",
        "configValidationMsg": "Caminho para o arquivo de configuração do seu modelo.",
        "modelLocation": "Localização do modelo",
        "modelLocationValidationMsg": "Caminho para onde seu modelo está localizado.",
@@ -317,7 +336,52 @@
        "deleteModel": "Excluir modelo",
        "deleteConfig": "Excluir Config",
        "deleteMsg1": "Tem certeza de que deseja excluir esta entrada do modelo de InvokeAI?",
-        "deleteMsg2": "Isso não vai excluir o arquivo de modelo checkpoint do seu disco. Você pode lê-los, se desejar."
+        "deleteMsg2": "Isso não vai excluir o arquivo de modelo checkpoint do seu disco. Você pode lê-los, se desejar.",
+        "checkpointModels": "Checkpoints",
+        "diffusersModels": "Diffusers",
+        "safetensorModels": "SafeTensors",
+        "addCheckpointModel": "Adicionar Modelo de Checkpoint/Safetensor",
+        "addDiffuserModel": "Adicionar Diffusers",
+        "repo_id": "Repo ID",
+        "vaeRepoID": "VAE Repo ID",
+        "vaeRepoIDValidationMsg": "Repositório Online do seu VAE",
+        "scanAgain": "Digitalize Novamente",
+        "selectAndAdd": "Selecione e Adicione Modelos Listados Abaixo",
+        "noModelsFound": "Nenhum Modelo Encontrado",
+        "formMessageDiffusersModelLocation": "Localização dos Modelos Diffusers",
+        "formMessageDiffusersModelLocationDesc": "Por favor entre com ao menos um.",
+        "formMessageDiffusersVAELocation": "Localização do VAE",
+        "formMessageDiffusersVAELocationDesc": "Se não provido, InvokeAI irá procurar pelo arquivo VAE dentro do local do modelo.",
+        "convertToDiffusers": "Converter para Diffusers",
+        "convertToDiffusersHelpText1": "Este modelo será convertido para o formato 🧨 Diffusers.",
+        "convertToDiffusersHelpText5": "Por favor, certifique-se de que você tenha espaço suficiente em disco. Os modelos geralmente variam entre 4GB e 7GB de tamanho.",
+        "convertToDiffusersHelpText6": "Você deseja converter este modelo?",
+        "convertToDiffusersSaveLocation": "Local para Salvar",
+        "v1": "v1",
+        "v2": "v2",
+        "inpainting": "v1 Inpainting",
+        "customConfig": "Configuração personalizada",
+        "pathToCustomConfig": "Caminho para configuração personalizada",
+        "convertToDiffusersHelpText3": "Seu arquivo de ponto de verificação no disco NÃO será excluído ou modificado de forma alguma. Você pode adicionar seu ponto de verificação ao Gerenciador de modelos novamente, se desejar.",
+        "convertToDiffusersHelpText4": "Este é um processo único. Pode levar cerca de 30 a 60s, dependendo das especificações do seu computador.",
+        "merge": "Mesclar",
+        "modelsMerged": "Modelos mesclados",
+        "mergeModels": "Mesclar modelos",
+        "modelOne": "Modelo 1",
+        "modelTwo": "Modelo 2",
+        "modelThree": "Modelo 3",
+        "statusConverting": "Convertendo",
+        "modelConverted": "Modelo Convertido",
+        "sameFolder": "Mesma pasta",
+        "invokeRoot": "Pasta do InvokeAI",
+        "custom": "Personalizado",
+        "customSaveLocation": "Local de salvamento personalizado",
+        "mergedModelName": "Nome do modelo mesclado",
+        "alpha": "Alpha",
+        "allModels": "Todos os Modelos",
+        "repoIDValidationMsg": "Repositório Online do seu Modelo",
+        "convert": "Converter",
+        "convertToDiffusersHelpText2": "Este processo irá substituir sua entrada de Gerenciador de Modelos por uma versão Diffusers do mesmo modelo."
    },
    "parameters": {
        "images": "Imagems",
@@ -442,14 +506,14 @@
        "move": "Mover",
        "resetView": "Resetar Visualização",
        "mergeVisible": "Fundir Visível",
-        "saveToGallery": "Save To Gallery",
+        "saveToGallery": "Salvar na Galeria",
        "copyToClipboard": "Copiar para a Área de Transferência",
        "downloadAsImage": "Baixar Como Imagem",
        "undo": "Desfazer",
        "redo": "Refazer",
        "clearCanvas": "Limpar Tela",
        "canvasSettings": "Configurações de Tela",
-        "showIntermediates": "Show Intermediates",
+        "showIntermediates": "Mostrar Intermediários",
        "showGrid": "Mostrar Grade",
        "snapToGrid": "Encaixar na Grade",
        "darkenOutsideSelection": "Escurecer Seleção Externa",
--- a/invokeai/frontend/public/locales/ro.json
+++ b/invokeai/frontend/public/locales/ro.json
@@ -0,0 +1 @@
+{}
--- a/invokeai/frontend/public/locales/ru.json
+++ b/invokeai/frontend/public/locales/ru.json
@@ -4,7 +4,7 @@
        "themeLabel": "Тема",
        "languagePickerLabel": "Язык",
        "reportBugLabel": "Сообщить об ошибке",
-        "settingsLabel": "Настройка",
+        "settingsLabel": "Настройки",
        "darkTheme": "Темная",
        "lightTheme": "Светлая",
        "greenTheme": "Зеленая",
@@ -17,9 +17,9 @@
        "postProcessing": "Постобработка",
        "postProcessDesc1": "Invoke AI предлагает широкий спектр функций постобработки. Увеличение изображения (upscale) и восстановление лиц уже доступны в интерфейсе. Получите доступ к ним из меню 'Дополнительные параметры' на вкладках 'Текст в изображение' и 'Изображение в изображение'. Обрабатывайте изображения напрямую, используя кнопки действий с изображениями над текущим изображением или в режиме просмотра.",
        "postProcessDesc2": "В ближайшее время будет выпущен специальный интерфейс для более продвинутых процессов постобработки.",
-        "postProcessDesc3": "Интерфейс командной строки Invoke AI предлагает различные другие функции, включая увеличение Embiggen",
+        "postProcessDesc3": "Интерфейс командной строки Invoke AI предлагает различные другие функции, включая Embiggen.",
        "training": "Обучение",
-        "trainingDesc1": "Специальный интерфейс для обучения собственных моделей с использованием Textual Inversion и Dreambooth",
+        "trainingDesc1": "Специальный интерфейс для обучения собственных моделей с использованием Textual Inversion и Dreambooth.",
        "trainingDesc2": "InvokeAI уже поддерживает обучение моделей с помощью TI, через интерфейс командной строки.",
        "upload": "Загрузить",
        "close": "Закрыть",
@@ -44,7 +44,9 @@
        "statusUpscaling": "Увеличение",
        "statusUpscalingESRGAN": "Увеличение (ESRGAN)",
        "statusLoadingModel": "Загрузка модели",
-        "statusModelChanged": "Модель изменена"
+        "statusModelChanged": "Модель изменена",
+        "githubLabel": "Github",
+        "discordLabel": "Discord"
    },
    "gallery": {
        "generations": "Генерации",
@@ -285,15 +287,15 @@
        "description": "Описание",
        "descriptionValidationMsg": "Введите описание модели",
        "config": "Файл конфигурации",
-        "configValidationMsg": "Путь до файла конфигурации",
+        "configValidationMsg": "Путь до файла конфигурации.",
        "modelLocation": "Расположение модели",
-        "modelLocationValidationMsg": "Путь до файла с моделью",
+        "modelLocationValidationMsg": "Путь до файла с моделью.",
        "vaeLocation": "Расположение VAE",
-        "vaeLocationValidationMsg": "Путь до VAE",
+        "vaeLocationValidationMsg": "Путь до файла VAE.",
        "width": "Ширина",
-        "widthValidationMsg": "Исходная ширина изображений",
+        "widthValidationMsg": "Исходная ширина изображений модели.",
        "height": "Высота",
-        "heightValidationMsg": "Исходная высота изображений",
+        "heightValidationMsg": "Исходная высота изображений модели.",
        "addModel": "Добавить модель",
        "updateModel": "Обновить модель",
        "availableModels": "Доступные модели",
@@ -320,7 +322,8 @@
        "deleteModel": "Удалить модель",
        "deleteConfig": "Удалить конфигурацию",
        "deleteMsg1": "Вы точно хотите удалить модель из InvokeAI?",
-        "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова."
+        "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова.",
+        "repoIDValidationMsg": "Онлайн-репозиторий модели"
    },
    "parameters": {
        "images": "Изображения",
@@ -411,15 +414,15 @@
        "sentToUnifiedCanvas": "Отправить на холст",
        "parametersSet": "Параметры заданы",
        "parametersNotSet": "Параметры не заданы",
-        "parametersNotSetDesc": "Не найдены метаданные этого изображения",
+        "parametersNotSetDesc": "Не найдены метаданные изображения.",
        "parametersFailed": "Проблема с загрузкой параметров",
-        "parametersFailedDesc": "Невозможно загрузить исходное изображение",
+        "parametersFailedDesc": "Невозможно загрузить исходное изображение.",
        "seedSet": "Сид задан",
        "seedNotSet": "Сид не задан",
-        "seedNotSetDesc": "Не удалось найти сид для изображения",
+        "seedNotSetDesc": "Не удалось найти сид для изображения.",
        "promptSet": "Запрос задан",
        "promptNotSet": "Запрос не задан",
-        "promptNotSetDesc": "Не удалось найти запрос для изображения",
+        "promptNotSetDesc": "Не удалось найти запрос для изображения.",
        "upscalingFailed": "Увеличение не удалось",
        "faceRestoreFailed": "Восстановление лиц не удалось",
        "metadataLoadFailed": "Не удалось загрузить метаданные",
@@ -477,7 +480,7 @@
        "showCanvasDebugInfo": "Показать отладку холста",
        "clearCanvasHistory": "Очистить историю холста",
        "clearHistory": "Очистить историю",
-        "clearCanvasHistoryMessage": "Очистка истории холста оставляет текущий холст нетронутым, но удаляет историю отмены и повтора",
+        "clearCanvasHistoryMessage": "Очистка истории холста оставляет текущий холст нетронутым, но удаляет историю отмен и повторов.",
        "clearCanvasHistoryConfirm": "Вы уверены, что хотите очистить историю холста?",
        "emptyTempImageFolder": "Очистить временную папку",
        "emptyFolder": "Очистить папку",
--- a/invokeai/frontend/src/app/socketio/listeners.ts
+++ b/invokeai/frontend/src/app/socketio/listeners.ts
@@ -392,7 +392,7 @@ const makeSocketIOListeners = (
        addLogEntry({
          timestamp: dateFormat(new Date(), 'isoDateTime'),
          message: `${i18n.t(
-            'modelmanager:modelAdded'
+            'modelManager.modelAdded'
          )}: ${deleted_model_name}`,
          level: 'info',
        })
@@ -400,7 +400,7 @@ const makeSocketIOListeners = (
      dispatch(
        addToast({
          title: `${i18n.t(
-            'modelmanager:modelEntryDeleted'
+            'modelManager.modelEntryDeleted'
          )}: ${deleted_model_name}`,
          status: 'success',
          duration: 2500,
@@ -424,7 +424,7 @@ const makeSocketIOListeners = (
      dispatch(
        addToast({
          title: `${i18n.t(
-            'modelmanager:modelConverted'
+            'modelManager.modelConverted'
          )}: ${converted_model_name}`,
          status: 'success',
          duration: 2500,
--- a/invokeai/frontend/src/common/util/parameterTranslation.ts
+++ b/invokeai/frontend/src/common/util/parameterTranslation.ts
@@ -144,8 +144,8 @@ export const frontendToBackendParameters = (
    variationAmount,
    width,
    shouldUseSymmetry,
-    horizontalSymmetryTimePercentage,
-    verticalSymmetryTimePercentage,
+    horizontalSymmetrySteps,
+    verticalSymmetrySteps,
  } = generationState;

  const {
@@ -185,17 +185,17 @@ export const frontendToBackendParameters = (

  // Symmetry Settings
  if (shouldUseSymmetry) {
-    if (horizontalSymmetryTimePercentage > 0) {
+    if (horizontalSymmetrySteps > 0) {
      generationParameters.h_symmetry_time_pct = Math.max(
        0,
-        Math.min(1, horizontalSymmetryTimePercentage / steps)
+        Math.min(1, horizontalSymmetrySteps / steps)
      );
    }

-    if (horizontalSymmetryTimePercentage > 0) {
+    if (verticalSymmetrySteps > 0) {
      generationParameters.v_symmetry_time_pct = Math.max(
        0,
-        Math.min(1, verticalSymmetryTimePercentage / steps)
+        Math.min(1, verticalSymmetrySteps / steps)
      );
    }
  }
--- a/invokeai/frontend/src/features/canvas/components/IAICanvasStatusText.tsx
+++ b/invokeai/frontend/src/features/canvas/components/IAICanvasStatusText.tsx
@@ -109,7 +109,7 @@ const IAICanvasStatusText = () => {
            color: boundingBoxColor,
          }}
        >{`${t(
-          'unifiedcanvas:boundingBox'
+          'unifiedCanvas.boundingBox'
        )}: ${boundingBoxDimensionsString}`}</div>
      )}
      {shouldShowScaledBoundingBox && (
@@ -118,19 +118,19 @@ const IAICanvasStatusText = () => {
            color: boundingBoxColor,
          }}
        >{`${t(
-          'unifiedcanvas:scaledBoundingBox'
+          'unifiedCanvas.scaledBoundingBox'
        )}: ${scaledBoundingBoxDimensionsString}`}</div>
      )}
      {shouldShowCanvasDebugInfo && (
        <>
          <div>{`${t(
-            'unifiedcanvas:boundingBoxPosition'
+            'unifiedCanvas.boundingBoxPosition'
          )}: ${boundingBoxCoordinatesString}`}</div>
          <div>{`${t(
-            'unifiedcanvas:canvasDimensions'
+            'unifiedCanvas.canvasDimensions'
          )}: ${canvasDimensionsString}`}</div>
          <div>{`${t(
-            'unifiedcanvas:canvasPosition'
+            'unifiedCanvas.canvasPosition'
          )}: ${canvasCoordinatesString}`}</div>
          <IAICanvasStatusTextCursorPos />
        </>
--- a/invokeai/frontend/src/features/canvas/components/IAICanvasStatusText/IAICanvasStatusTextCursorPos.tsx
+++ b/invokeai/frontend/src/features/canvas/components/IAICanvasStatusText/IAICanvasStatusTextCursorPos.tsx
@@ -34,7 +34,7 @@ export default function IAICanvasStatusTextCursorPos() {

  return (
    <div>{`${t(
-      'unifiedcanvas:cursorPosition'
+      'unifiedCanvas.cursorPosition'
    )}: ${cursorCoordinatesString}`}</div>
  );
 }
--- a/invokeai/frontend/src/features/parameters/components/AdvancedParameters/Output/SymmetrySettings.tsx
+++ b/invokeai/frontend/src/features/parameters/components/AdvancedParameters/Output/SymmetrySettings.tsx
@@ -2,18 +2,18 @@ import { RootState } from 'app/store';
 import { useAppDispatch, useAppSelector } from 'app/storeHooks';
 import IAISlider from 'common/components/IAISlider';
 import {
-  setHorizontalSymmetryTimePercentage,
-  setVerticalSymmetryTimePercentage,
+  setHorizontalSymmetrySteps,
+  setVerticalSymmetrySteps,
 } from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';

 export default function SymmetrySettings() {
-  const horizontalSymmetryTimePercentage = useAppSelector(
-    (state: RootState) => state.generation.horizontalSymmetryTimePercentage
+  const horizontalSymmetrySteps = useAppSelector(
+    (state: RootState) => state.generation.horizontalSymmetrySteps
  );

-  const verticalSymmetryTimePercentage = useAppSelector(
-    (state: RootState) => state.generation.verticalSymmetryTimePercentage
+  const verticalSymmetrySteps = useAppSelector(
+    (state: RootState) => state.generation.verticalSymmetrySteps
  );

  const steps = useAppSelector((state: RootState) => state.generation.steps);
@@ -26,28 +26,28 @@ export default function SymmetrySettings() {
    <>
      <IAISlider
        label={t('parameters.hSymmetryStep')}
-        value={horizontalSymmetryTimePercentage}
-        onChange={(v) => dispatch(setHorizontalSymmetryTimePercentage(v))}
+        value={horizontalSymmetrySteps}
+        onChange={(v) => dispatch(setHorizontalSymmetrySteps(v))}
        min={0}
        max={steps}
        step={1}
        withInput
        withSliderMarks
        withReset
-        handleReset={() => dispatch(setHorizontalSymmetryTimePercentage(0))}
+        handleReset={() => dispatch(setHorizontalSymmetrySteps(0))}
        sliderMarkRightOffset={-6}
      ></IAISlider>
      <IAISlider
        label={t('parameters.vSymmetryStep')}
-        value={verticalSymmetryTimePercentage}
-        onChange={(v) => dispatch(setVerticalSymmetryTimePercentage(v))}
+        value={verticalSymmetrySteps}
+        onChange={(v) => dispatch(setVerticalSymmetrySteps(v))}
        min={0}
        max={steps}
        step={1}
        withInput
        withSliderMarks
        withReset
-        handleReset={() => dispatch(setVerticalSymmetryTimePercentage(0))}
+        handleReset={() => dispatch(setVerticalSymmetrySteps(0))}
        sliderMarkRightOffset={-6}
      ></IAISlider>
    </>
--- a/invokeai/frontend/src/features/parameters/components/MainParameters/MainSteps.tsx
+++ b/invokeai/frontend/src/features/parameters/components/MainParameters/MainSteps.tsx
@@ -3,7 +3,10 @@ import { useAppDispatch, useAppSelector } from 'app/storeHooks';
 import IAINumberInput from 'common/components/IAINumberInput';

 import IAISlider from 'common/components/IAISlider';
-import { setSteps } from 'features/parameters/store/generationSlice';
+import {
+  clampSymmetrySteps,
+  setSteps,
+} from 'features/parameters/store/generationSlice';
 import { useTranslation } from 'react-i18next';

 export default function MainSteps() {
@@ -14,7 +17,13 @@ export default function MainSteps() {
  );
  const { t } = useTranslation();

-  const handleChangeSteps = (v: number) => dispatch(setSteps(v));
+  const handleChangeSteps = (v: number) => {
+    dispatch(setSteps(v));
+  };
+
+  const handleBlur = () => {
+    dispatch(clampSymmetrySteps());
+  };

  return shouldUseSliders ? (
    <IAISlider
@@ -41,6 +50,7 @@ export default function MainSteps() {
      width="auto"
      styleClass="main-settings-block"
      textAlign="center"
+      onBlur={handleBlur}
    />
  );
 }
--- a/invokeai/frontend/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
+++ b/invokeai/frontend/src/features/parameters/components/ProcessButtons/InvokeButton.tsx
@@ -5,6 +5,7 @@ import IAIButton, { IAIButtonProps } from 'common/components/IAIButton';
 import IAIIconButton, {
  IAIIconButtonProps,
 } from 'common/components/IAIIconButton';
+import { clampSymmetrySteps } from 'features/parameters/store/generationSlice';
 import { activeTabNameSelector } from 'features/ui/store/uiSelectors';
 import { useHotkeys } from 'react-hotkeys-hook';
 import { useTranslation } from 'react-i18next';
@@ -30,6 +31,7 @@ export default function InvokeButton(props: InvokeButton) {
  useHotkeys(
    ['ctrl+enter', 'meta+enter'],
    () => {
+      dispatch(clampSymmetrySteps());
      dispatch(generateImage(activeTabName));
    },
    {
--- a/invokeai/frontend/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/src/features/parameters/store/generationSlice.ts
@@ -4,6 +4,7 @@ import * as InvokeAI from 'app/invokeai';
 import { getPromptAndNegative } from 'common/util/getPromptAndNegative';
 import promptToString from 'common/util/promptToString';
 import { seedWeightsToString } from 'common/util/seedWeightPairs';
+import { clamp } from 'lodash';

 export interface GenerationState {
  cfgScale: number;
@@ -33,8 +34,8 @@ export interface GenerationState {
  variationAmount: number;
  width: number;
  shouldUseSymmetry: boolean;
-  horizontalSymmetryTimePercentage: number;
-  verticalSymmetryTimePercentage: number;
+  horizontalSymmetrySteps: number;
+  verticalSymmetrySteps: number;
 }

 const initialGenerationState: GenerationState = {
@@ -64,8 +65,8 @@ const initialGenerationState: GenerationState = {
  variationAmount: 0.1,
  width: 512,
  shouldUseSymmetry: false,
-  horizontalSymmetryTimePercentage: 0,
-  verticalSymmetryTimePercentage: 0,
+  horizontalSymmetrySteps: 0,
+  verticalSymmetrySteps: 0,
 };

 const initialState: GenerationState = initialGenerationState;
@@ -99,6 +100,18 @@ export const generationSlice = createSlice({
    setSteps: (state, action: PayloadAction<number>) => {
      state.steps = action.payload;
    },
+    clampSymmetrySteps: (state) => {
+      state.horizontalSymmetrySteps = clamp(
+        state.horizontalSymmetrySteps,
+        0,
+        state.steps
+      );
+      state.verticalSymmetrySteps = clamp(
+        state.verticalSymmetrySteps,
+        0,
+        state.steps
+      );
+    },
    setCfgScale: (state, action: PayloadAction<number>) => {
      state.cfgScale = action.payload;
    },
@@ -334,22 +347,17 @@ export const generationSlice = createSlice({
    setShouldUseSymmetry: (state, action: PayloadAction<boolean>) => {
      state.shouldUseSymmetry = action.payload;
    },
-    setHorizontalSymmetryTimePercentage: (
-      state,
-      action: PayloadAction<number>
-    ) => {
-      state.horizontalSymmetryTimePercentage = action.payload;
+    setHorizontalSymmetrySteps: (state, action: PayloadAction<number>) => {
+      state.horizontalSymmetrySteps = action.payload;
    },
-    setVerticalSymmetryTimePercentage: (
-      state,
-      action: PayloadAction<number>
-    ) => {
-      state.verticalSymmetryTimePercentage = action.payload;
+    setVerticalSymmetrySteps: (state, action: PayloadAction<number>) => {
+      state.verticalSymmetrySteps = action.payload;
    },
  },
 });

 export const {
+  clampSymmetrySteps,
  clearInitialImage,
  resetParametersState,
  resetSeed,
@@ -384,8 +392,8 @@ export const {
  setVariationAmount,
  setWidth,
  setShouldUseSymmetry,
-  setHorizontalSymmetryTimePercentage,
-  setVerticalSymmetryTimePercentage,
+  setHorizontalSymmetrySteps,
+  setVerticalSymmetrySteps,
 } = generationSlice.actions;

 export default generationSlice.reducer;
--- a/invokeai/frontend/src/features/system/components/ModelManager/MergeModels.tsx
+++ b/invokeai/frontend/src/features/system/components/ModelManager/MergeModels.tsx
@@ -57,19 +57,19 @@ export default function MergeModels() {

  const [modelMergeForce, setModelMergeForce] = useState<boolean>(false);

-  const modelOneList = Object.keys(diffusersModels).filter((model) => {
-    if (model !== modelTwo && model !== modelThree) return model;
-  });
+  const modelOneList = Object.keys(diffusersModels).filter(
+    (model) => model !== modelTwo && model !== modelThree
+  );

-  const modelTwoList = Object.keys(diffusersModels).filter((model) => {
-    if (model !== modelOne && model !== modelThree) return model;
-  });
+  const modelTwoList = Object.keys(diffusersModels).filter(
+    (model) => model !== modelOne && model !== modelThree
+  );

  const modelThreeList = [
-    'none',
-    ...Object.keys(diffusersModels).filter((model) => {
-      if (model !== modelOne && model !== modelTwo) return model;
-    }),
+    { key: t('modelManager.none'), value: 'none' },
+    ...Object.keys(diffusersModels)
+      .filter((model) => model !== modelOne && model !== modelTwo)
+      .map((model) => ({ key: model, value: model })),
  ];

  const isProcessing = useAppSelector(
@@ -209,18 +209,22 @@ export default function MergeModels() {
                <Flex columnGap={4}>
                  {modelThree === 'none' ? (
                    <>
-                      <Radio value="weighted_sum">weighted_sum</Radio>
-                      <Radio value="sigmoid">sigmoid</Radio>
-                      <Radio value="inv_sigmoid">inv_sigmoid</Radio>
+                      <Radio value="weighted_sum">
+                        {t('modelManager.weightedSum')}
+                      </Radio>
+                      <Radio value="sigmoid">{t('modelManager.sigmoid')}</Radio>
+                      <Radio value="inv_sigmoid">
+                        {t('modelManager.inverseSigmoid')}
+                      </Radio>
                    </>
                  ) : (
                    <Radio value="add_difference">
                      <Tooltip
                        label={t(
-                          'modelmanager:modelMergeInterpAddDifferenceHelp'
+                          'modelManager.modelMergeInterpAddDifferenceHelp'
                        )}
                      >
-                        add_difference
+                        {t('modelManager.addDifference')}
                      </Tooltip>
                    </Radio>
                  )}
--- a/invokeai/frontend/src/features/ui/components/InvokeParametersPanel.tsx
+++ b/invokeai/frontend/src/features/ui/components/InvokeParametersPanel.tsx
@@ -18,6 +18,7 @@ import { setParametersPanelScrollPosition } from 'features/ui/store/uiSlice';
 import InvokeAILogo from 'assets/images/logo.png';
 import { isEqual } from 'lodash';
 import { uiSelector } from '../store/uiSelectors';
+import { useTranslation } from 'react-i18next';

 type Props = { children: ReactNode };

@@ -60,6 +61,8 @@ const InvokeOptionsPanel = (props: Props) => {

  const { children } = props;

+  const { t } = useTranslation();
+
  // Hotkeys
  useHotkeys(
    'o',
@@ -176,7 +179,7 @@ const InvokeOptionsPanel = (props: Props) => {
              }
            }}
          >
-            <Tooltip label="Pin Options Panel">
+            <Tooltip label={t('common.pinOptionsPanel')}>
              <div
                className="parameters-panel-pin-button"
                data-selected={shouldPinParametersPanel}
--- a/invokeai/frontend/src/i18.d.ts
+++ b/invokeai/frontend/src/i18.d.ts
@@ -1,11 +1,16 @@
 import 'i18next';

+import en from '../public/locales/en.json';
+
 declare module 'i18next' {
  // Extend CustomTypeOptions
  interface CustomTypeOptions {
    // Setting Default Namespace As English
    defaultNS: 'en';
    // Custom Types For Resources
+    resources: {
+      en: typeof en;
+    };
    // Never Return Null
    returnNull: false;
  }
--- a/invokeai/frontend/stats.html
+++ b/invokeai/frontend/stats.html
--- a/ldm/generate.py
+++ b/ldm/generate.py
@@ -650,6 +650,8 @@ class Generate:
    def clear_cuda_cache(self):
        if self._has_cuda():
            self.gather_cuda_stats()
+            # Run garbage collection prior to emptying the CUDA cache
+            gc.collect()
            torch.cuda.empty_cache()

    def clear_cuda_stats(self):
--- a/ldm/invoke/CLI.py
+++ b/ldm/invoke/CLI.py
@@ -496,6 +496,7 @@ def main_loop(gen, opt):
 def do_command(command: str, gen, opt: Args, completer) -> tuple:
    global infile
    operation = "generate"  # default operation, alternative is 'postprocess'
+    command = command.replace('\\','/') # windows

    if command.startswith(
        "!dream"
@@ -624,13 +625,12 @@ def set_default_output_dir(opt: Args, completer: Completer):
    completer.set_default_dir(opt.outdir)


-def import_model(model_path: str, gen, opt, completer, convert=False) -> str:
+def import_model(model_path: str, gen, opt, completer, convert=False):
    """
    model_path can be (1) a URL to a .ckpt file; (2) a local .ckpt file path;
    (3) a huggingface repository id; or (4) a local directory containing a
    diffusers model.
    """
-    model_path = model_path.replace("\\", "/")  # windows
    default_name = Path(model_path).stem
    model_name = None
    model_desc = None
@@ -672,14 +672,14 @@ def import_model(model_path: str, gen, opt, completer, convert=False) -> str:

    gen.model_manager.commit(opt.conf)
    completer.update_models(gen.model_manager.list_models())
-    print(f">> {model_name} successfully installed")
+    print(f">> {imported_name} successfully installed")

 def _verify_load(model_name: str, gen) -> bool:
    print(">> Verifying that new model loads...")
    current_model = gen.model_name
    try:
        if not gen.set_model(model_name):
-            return False
+            return
    except Exception as e:
        print(f"** model failed to load: {str(e)}")
        print(
@@ -706,7 +706,7 @@ def _get_model_name_and_desc(
    )
    return model_name, model_description

-def convert_model(model_name_or_path: Union[Path, str], gen, opt, completer) -> str:
+def convert_model(model_name_or_path: Union[Path, str], gen, opt, completer):
    model_name_or_path = model_name_or_path.replace("\\", "/")  # windows
    manager = gen.model_manager
    ckpt_path = None
@@ -740,19 +740,14 @@ def convert_model(model_name_or_path: Union[Path, str], gen, opt, completer) ->
        )
    else:
        try:
-            model_name = import_model(model_name_or_path, gen, opt, completer, convert=True)
+            import_model(model_name_or_path, gen, opt, completer, convert=True)
        except KeyboardInterrupt:
            return

-    if not model_name:
-        print("** Conversion failed. Aborting.")
-        return
-
    manager.commit(opt.conf)    
    if click.confirm(f"Delete the original .ckpt file at {ckpt_path}?", default=False):
        ckpt_path.unlink(missing_ok=True)
        print(f"{ckpt_path} deleted")
-    return model_name


 def del_config(model_name: str, gen, opt, completer):
--- a/ldm/invoke/_version.py
+++ b/ldm/invoke/_version.py
@@ -1 +1 @@
-__version__='2.3.1+a0'
+__version__='2.3.1.post2'
--- a/ldm/invoke/ckpt_to_diffuser.py
+++ b/ldm/invoke/ckpt_to_diffuser.py
@@ -17,16 +17,15 @@
 # Original file at: https://github.com/huggingface/diffusers/blob/main/scripts/convert_ldm_original_checkpoint_to_diffusers.py
 """ Conversion script for the LDM checkpoints. """

-import os
 import re
 import torch
 import warnings
 from pathlib import Path
 from ldm.invoke.globals import (
-    Globals,
    global_cache_dir,
    global_config_dir,
    )
+from ldm.invoke.model_manager import ModelManager, SDLegacyType
 from safetensors.torch import load_file
 from typing import Union

@@ -760,7 +759,12 @@ def convert_open_clip_checkpoint(checkpoint):

    text_model_dict = {}

-    d_model = int(checkpoint["cond_stage_model.model.text_projection"].shape[0])
+    if 'cond_stage_model.model.text_projection' in keys:
+        d_model = int(checkpoint["cond_stage_model.model.text_projection"].shape[0])
+    elif 'cond_stage_model.model.ln_final.bias' in keys:
+        d_model = int(checkpoint['cond_stage_model.model.ln_final.bias'].shape[0])
+    else:
+        raise KeyError('Expected key "cond_stage_model.model.text_projection" not found in model')

    text_model_dict["text_model.embeddings.position_ids"] = text_model.text_model.embeddings.get_buffer("position_ids")

@@ -856,20 +860,23 @@ def load_pipeline_from_original_stable_diffusion_ckpt(

        upcast_attention = False
        if original_config_file is None:
-            key_name = "model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight"
-
-            if key_name in checkpoint and checkpoint[key_name].shape[-1] == 1024:
+            model_type = ModelManager.probe_model_type(checkpoint)
+            
+            if model_type == SDLegacyType.V2:
                original_config_file = global_config_dir() / 'stable-diffusion' / 'v2-inference-v.yaml'
-
                if global_step == 110000:
                    # v2.1 needs to upcast attention
                    upcast_attention = True
-            elif str(checkpoint_path).lower().find('inpaint') >= 0: # brittle - please pass original_config_file parameter!
-                print(f'  | checkpoint has "inpaint" in name, assuming an inpainting model')
+                    
+            elif model_type == SDLegacyType.V1_INPAINT:
                original_config_file = global_config_dir() / 'stable-diffusion' / 'v1-inpainting-inference.yaml'
-            else:
+                
+            elif model_type == SDLegacyType.V1:
                original_config_file = global_config_dir() / 'stable-diffusion' / 'v1-inference.yaml'

+            else:
+                raise Exception('Unknown checkpoint type')
+
        original_config = OmegaConf.load(original_config_file)

        if num_in_channels is not None:
@@ -960,7 +967,7 @@ def load_pipeline_from_original_stable_diffusion_ckpt(
            text_model = convert_open_clip_checkpoint(checkpoint)
            tokenizer = CLIPTokenizer.from_pretrained("stabilityai/stable-diffusion-2",
                                                      subfolder="tokenizer",
-                                                      cache_dir=global_cache_dir('diffusers')
+                                                      cache_dir=cache_dir,
                                                      )
            pipe = pipeline_class(
                vae=vae,
--- a/ldm/invoke/conditioning.py
+++ b/ldm/invoke/conditioning.py
@@ -88,7 +88,7 @@ def get_prompt_structure(prompt_string, skip_normalize_legacy_blend: bool = Fals

    return positive_prompt, negative_prompt

-def get_max_token_count(tokenizer, prompt: FlattenedPrompt|Blend, truncate_if_too_long=True) -> int:
+def get_max_token_count(tokenizer, prompt: Union[FlattenedPrompt, Blend], truncate_if_too_long=True) -> int:
    if type(prompt) is Blend:
        blend: Blend = prompt
        return max([get_max_token_count(tokenizer, c, truncate_if_too_long) for c in blend.prompts])
@@ -129,8 +129,8 @@ def split_prompt_to_positive_and_negative(prompt_string_uncleaned):
    return prompt_string_cleaned, unconditioned_words


-def log_tokenization(positive_prompt: Blend | FlattenedPrompt,
-                     negative_prompt: Blend | FlattenedPrompt,
+def log_tokenization(positive_prompt: Union[Blend, FlattenedPrompt],
+                     negative_prompt: Union[Blend, FlattenedPrompt],
                     tokenizer):
    print(f"\n>> [TOKENLOG] Parsed Prompt: {positive_prompt}")
    print(f"\n>> [TOKENLOG] Parsed Negative Prompt: {negative_prompt}")
@@ -139,7 +139,7 @@ def log_tokenization(positive_prompt: Blend | FlattenedPrompt,
    log_tokenization_for_prompt_object(negative_prompt, tokenizer, display_label_prefix="(negative prompt)")


-def log_tokenization_for_prompt_object(p: Blend | FlattenedPrompt, tokenizer, display_label_prefix=None):
+def log_tokenization_for_prompt_object(p: Union[Blend, FlattenedPrompt], tokenizer, display_label_prefix=None):
    display_label_prefix = display_label_prefix or ""
    if type(p) is Blend:
        blend: Blend = p
--- a/ldm/invoke/config/invokeai_configure.py
+++ b/ldm/invoke/config/invokeai_configure.py
@@ -8,7 +8,6 @@
 #
 print("Loading Python libraries...\n")
 import argparse
-import curses
 import io
 import os
 import re
@@ -19,6 +18,7 @@ import warnings
 from argparse import Namespace
 from pathlib import Path
 from urllib import request
+from shutil import get_terminal_size

 import npyscreen
 import torch
@@ -46,7 +46,8 @@ from .model_install_backend import (
    recommended_datasets,
    hf_download_with_resume,
 )
-from .widgets import IntTitleSlider, CenteredButtonPress
+from .widgets import IntTitleSlider, CenteredButtonPress, set_min_terminal_size
+

 warnings.filterwarnings("ignore")

@@ -64,6 +65,10 @@ SD_Configs = Path(global_config_dir()) / "stable-diffusion"

 Datasets = OmegaConf.load(Dataset_path)

+# minimum size for the UI
+MIN_COLS = 135
+MIN_LINES = 45
+
 INIT_FILE_PREAMBLE = """# InvokeAI initialization file
 # This is the InvokeAI initialization file, which contains command-line default values.
 # Feel free to edit. If anything goes wrong, you can re-initialize this file by deleting
@@ -109,8 +114,6 @@ Add the '--help' argument to see all of the command-line switches available for

 # ---------------------------------------------
 def yes_or_no(prompt: str, default_yes=True):
-    completer.set_options(["yes", "no"])
-    completer.complete_extensions(None)  # turn off path-completion mode
    default = "y" if default_yes else "n"
    response = input(f"{prompt} [{default}] ") or default
    if default_yes:
@@ -162,7 +165,6 @@ def download_with_progress_bar(model_url: str, model_dest: str, label: str = "th
        print(f"Installing {label} model file {model_url}...", end="", file=sys.stderr)
        if not os.path.exists(model_dest):
            os.makedirs(os.path.dirname(model_dest), exist_ok=True)
-            print("", file=sys.stderr)
            request.urlretrieve(
                model_url, model_dest, ProgressBar(os.path.basename(model_dest))
            )
@@ -180,27 +182,27 @@ def download_with_progress_bar(model_url: str, model_dest: str, label: str = "th
 def download_bert():
    print(
        "Installing bert tokenizer...",
-        end="",
-        file=sys.stderr,
+        file=sys.stderr
    )
    with warnings.catch_warnings():
        warnings.filterwarnings("ignore", category=DeprecationWarning)
        from transformers import BertTokenizerFast
-
        download_from_hf(BertTokenizerFast, "bert-base-uncased")
-        print("...success", file=sys.stderr)


 # ---------------------------------------------
-def download_clip():
-    print("Installing CLIP model...", file=sys.stderr)
+def download_sd1_clip():
+    print("Installing SD1 clip model...", file=sys.stderr)
    version = "openai/clip-vit-large-patch14"
-    print("Tokenizer...", file=sys.stderr, end="")
    download_from_hf(CLIPTokenizer, version)
-    print("Text model...", file=sys.stderr, end="")
    download_from_hf(CLIPTextModel, version)
-    print("...success", file=sys.stderr)

+# ---------------------------------------------
+def download_sd2_clip():
+    version = 'stabilityai/stable-diffusion-2'
+    print("Installing SD2 clip model...", file=sys.stderr)
+    download_from_hf(CLIPTokenizer, version, subfolder='tokenizer')
+    download_from_hf(CLIPTextModel, version, subfolder='text_encoder')

 # ---------------------------------------------
 def download_realesrgan():
@@ -252,7 +254,7 @@ def download_codeformer():

 # ---------------------------------------------
 def download_clipseg():
-    print("Installing clipseg model for text-based masking...", end="", file=sys.stderr)
+    print("Installing clipseg model for text-based masking...", file=sys.stderr)
    CLIPSEG_MODEL = "CIDAS/clipseg-rd64-refined"
    try:
        download_from_hf(AutoProcessor, CLIPSEG_MODEL)
@@ -260,7 +262,6 @@ def download_clipseg():
    except Exception:
        print("Error installing clipseg model:")
        print(traceback.format_exc())
-    print("...success", file=sys.stderr)


 # -------------------------------------
@@ -276,15 +277,14 @@ def download_safety_checker():
        print(traceback.format_exc())
        return
    safety_model_id = "CompVis/stable-diffusion-safety-checker"
-    print("AutoFeatureExtractor...", end="", file=sys.stderr)
+    print("AutoFeatureExtractor...", file=sys.stderr)
    download_from_hf(AutoFeatureExtractor, safety_model_id)
-    print("StableDiffusionSafetyChecker...", end="", file=sys.stderr)
+    print("StableDiffusionSafetyChecker...", file=sys.stderr)
    download_from_hf(StableDiffusionSafetyChecker, safety_model_id)
-    print("...success", file=sys.stderr)


 # -------------------------------------
-def download_vaes(precision: str):
+def download_vaes():
    print("Installing stabilityai VAE...", file=sys.stderr)
    try:
        # first the diffusers version
@@ -292,8 +292,6 @@ def download_vaes(precision: str):
        args = dict(
            cache_dir=global_cache_dir("diffusers"),
        )
-        if precision == "float16":
-            args.update(torch_dtype=torch.float16, revision="fp16")
        if not AutoencoderKL.from_pretrained(repo_id, **args):
            raise Exception(f"download of {repo_id} failed")

@@ -306,7 +304,6 @@ def download_vaes(precision: str):
            model_dir=str(Globals.root / Model_dir / Weights_dir),
        ):
            raise Exception(f"download of {model_name} failed")
-        print("...downloaded successfully", file=sys.stderr)
    except Exception as e:
        print(f"Error downloading StabilityAI standard VAE: {str(e)}", file=sys.stderr)
        print(traceback.format_exc(), file=sys.stderr)
@@ -332,8 +329,7 @@ class editOptsForm(npyscreen.FormMultiPage):
        old_opts = self.parentApp.invokeai_opts
        first_time = not (Globals.root / Globals.initfile).exists()
        access_token = HfFolder.get_token()
-
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width,window_height = get_terminal_size()
        for i in [
            "Configure startup settings. You can come back and change these later.",
            "Use ctrl-N and ctrl-P to move to the <N>ext and <P>revious fields.",
@@ -676,6 +672,8 @@ def run_console_ui(
 ) -> (Namespace, Namespace):
    # parse_args() will read from init file if present
    invokeai_opts = default_startup_options(initfile)
+
+    set_min_terminal_size(MIN_COLS, MIN_LINES)
    editApp = EditOptApplication(program_opts, invokeai_opts)
    editApp.run()
    if editApp.user_cancelled:
@@ -683,7 +681,6 @@ def run_console_ui(
    else:
        return (editApp.new_opts, editApp.user_selections)

-
 # -------------------------------------
 def write_opts(opts: Namespace, init_file: Path):
    """
@@ -703,6 +700,9 @@ def write_opts(opts: Namespace, init_file: Path):
    args_to_skip = re.compile(
        "^--?(o|out|no-xformer|xformer|no-ckpt|ckpt|free|no-nsfw|nsfw|prec|max_load|embed|always|ckpt|free_gpu)"
    )
+    # fix windows paths
+    opts.outdir = opts.outdir.replace('\\','/')
+    opts.embedding_path = opts.embedding_path.replace('\\','/')
    new_file = f"{init_file}.new"
    try:
        lines = [x.strip() for x in open(init_file, "r").readlines()]
@@ -712,8 +712,8 @@ def write_opts(opts: Namespace, init_file: Path):
                    out_file.write(line + "\n")
            out_file.write(
                f"""
--outdir={opts.outdir}
--embedding_path={opts.embedding_path}
+--outdir="{opts.outdir}"
+--embedding_path="{opts.embedding_path}"
 --precision={opts.precision}
 --max_loaded_models={int(opts.max_loaded_models)}
 --{'no-' if not opts.safety_checker else ''}nsfw_checker
@@ -836,13 +836,14 @@ def main():
        else:
            print("\n** DOWNLOADING SUPPORT MODELS **")
            download_bert()
-            download_clip()
+            download_sd1_clip()
+            download_sd2_clip()
            download_realesrgan()
            download_gfpgan()
            download_codeformer()
            download_clipseg()
            download_safety_checker()
-            download_vaes(init_options.precision)
+            download_vaes()

        if opt.skip_sd_weights:
            print("\n** SKIPPING DIFFUSION WEIGHTS DOWNLOAD PER USER REQUEST **")
@@ -853,10 +854,6 @@ def main():
        postscript(errors=errors)
    except KeyboardInterrupt:
        print("\nGoodbye! Come back soon.")
-    except Exception as e:
-        print(f'\nA problem occurred during initialization.\nThe error was: "{str(e)}"')
-        print(traceback.format_exc())
-

 # -------------------------------------
 if __name__ == "__main__":
--- a/ldm/invoke/config/invokeai_update.py
+++ b/ldm/invoke/config/invokeai_update.py
@@ -2,18 +2,16 @@
 Minimalist updater script. Prompts user for the tag or branch to update to and runs
 pip install <path_to_git_source>.
 '''
-
+import os
 import platform
 import requests
-import subprocess
 from rich import box, print
-from rich.console import Console, group
+from rich.console import Console, Group, group
 from rich.panel import Panel
 from rich.prompt import Prompt
 from rich.style import Style
+from rich.syntax import Syntax
 from rich.text import Text
-from rich.live import Live
-from rich.table import Table

 from ldm.invoke import __version__

@@ -23,19 +21,17 @@ INVOKE_AI_REL="https://api.github.com/repos/invoke-ai/InvokeAI/releases"
 OS = platform.uname().system
 ARCH = platform.uname().machine

-ORANGE_ON_DARK_GREY = Style(bgcolor="grey23", color="orange1")
-
 if OS == "Windows":
    # Windows terminals look better without a background colour
    console = Console(style=Style(color="grey74"))
 else:
-    console = Console(style=Style(color="grey74", bgcolor="grey23"))
+    console = Console(style=Style(color="grey74", bgcolor="grey19"))

 def get_versions()->dict:
    return requests.get(url=INVOKE_AI_REL).json()

 def welcome(versions: dict):
-
+    
    @group()
    def text():
        yield f'InvokeAI Version: [bold yellow]{__version__}'
@@ -48,55 +44,45 @@ def welcome(versions: dict):
 [3] Manually enter the tag or branch name you wish to update'''

    console.rule()
-    console.print(
+    print(
        Panel(
            title="[bold wheat1]InvokeAI Updater",
            renderable=text(),
            box=box.DOUBLE,
            expand=True,
            padding=(1, 2),
-            style=ORANGE_ON_DARK_GREY,
+            style=Style(bgcolor="grey23", color="orange1"),
            subtitle=f"[bold grey39]{OS}-{ARCH}",
        )
    )
-    # console.rule is used instead of console.line to maintain dark background
-    # on terminals where light background is the default
-    console.rule(characters=" ")
+    console.line()

 def main():
    versions = get_versions()
    welcome(versions)

    tag = None
-    choice = Prompt.ask(Text.from_markup(('[grey74 on grey23]Choice:')),choices=['1','2','3'],default='1')
-
+    choice = Prompt.ask('Choice:',choices=['1','2','3'],default='1')
+    
    if choice=='1':
        tag = versions[0]['tag_name']
    elif choice=='2':
        tag = 'main'
    elif choice=='3':
-        tag = Prompt.ask('[grey74 on grey23]Enter an InvokeAI tag or branch name')
-
-    console.print(Panel(f':crossed_fingers: Upgrading to [yellow]{tag}[/yellow]', box=box.MINIMAL, style=ORANGE_ON_DARK_GREY))
+        tag = Prompt.ask('Enter an InvokeAI tag or branch name')

+    print(f':crossed_fingers: Upgrading to [yellow]{tag}[/yellow]')
    cmd = f'pip install {INVOKE_AI_SRC}/{tag}.zip --use-pep517'
-
-    progress = Table.grid(expand=True)
-    progress_panel = Panel(progress, box=box.MINIMAL, style=ORANGE_ON_DARK_GREY)
-
-    with subprocess.Popen(['bash', '-c', cmd], stdout=subprocess.PIPE, stderr=subprocess.PIPE) as proc:
-        progress.add_column()
-        with Live(progress_panel, console=console, vertical_overflow='visible'):
-            while proc.poll() is None:
-                for l in iter(proc.stdout.readline, b''):
-                    progress.add_row(l.decode().strip(), style=ORANGE_ON_DARK_GREY)
-        if proc.returncode == 0:
-            console.rule(f':heavy_check_mark: Upgrade successful')
-        else:
-            console.rule(f':exclamation: [bold red]Upgrade failed[/red bold]')
-
+    print('')
+    print('')
+    if os.system(cmd)==0:
+        print(f':heavy_check_mark: Upgrade successful')
+    else:
+        print(f':exclamation: [bold red]Upgrade failed[/red bold]')
+    
 if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        pass
+
--- a/ldm/invoke/config/model_install.py
+++ b/ldm/invoke/config/model_install.py
@@ -10,10 +10,8 @@ The work is actually done in backend code in model_install_backend.py.
 """

 import argparse
-import curses
 import os
 import sys
-import traceback
 from argparse import Namespace
 from pathlib import Path
 from typing import List
@@ -22,15 +20,23 @@ import npyscreen
 import torch
 from npyscreen import widget
 from omegaconf import OmegaConf
+from shutil import get_terminal_size

 from ..devices import choose_precision, choose_torch_device
 from ..globals import Globals, global_config_dir
 from .model_install_backend import (Dataset_path, default_config_file,
                                    default_dataset, get_root,
                                    install_requested_models,
-                                    recommended_datasets)
+                                    recommended_datasets,
+                                    )
 from .widgets import (MultiSelectColumns, TextBox,
-                      OffsetButtonPress, CenteredTitleText)
+                      OffsetButtonPress, CenteredTitleText,
+                      set_min_terminal_size,
+                      )
+
+# minimum size for the UI
+MIN_COLS = 120
+MIN_LINES = 45

 class addModelsForm(npyscreen.FormMultiPage):
    # for responsive resizing - disabled
@@ -50,7 +56,7 @@ class addModelsForm(npyscreen.FormMultiPage):
        super().__init__(parentApp=parentApp, name=name, *args, **keywords)

    def create(self):
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width, window_height = get_terminal_size()
        starter_model_labels = self._get_starter_model_labels()
        recommended_models = [
            x
@@ -108,37 +114,37 @@ class addModelsForm(npyscreen.FormMultiPage):
                relx=4,
            )
        self.nextrely += 1
-        self.add_widget_intelligent(
-            CenteredTitleText,
-            name="== STARTER MODELS (recommended ones selected) ==",
-            editable=False,
-            color="CONTROL",
-        )
-        self.nextrely -= 1
-        self.add_widget_intelligent(
-            CenteredTitleText,
-            name="Select from a starter set of Stable Diffusion models from HuggingFace:",
-            editable=False,
-            labelColor="CAUTION",
-        )
-
-        self.nextrely -= 1
-        # if user has already installed some initial models, then don't patronize them
-        # by showing more recommendations
-        show_recommended = not self.existing_models
-        self.models_selected = self.add_widget_intelligent(
-            npyscreen.MultiSelect,
-            name="Install Starter Models",
-            values=starter_model_labels,
-            value=[
-                self.starter_model_list.index(x)
-                for x in self.starter_model_list
-                if show_recommended and x in recommended_models
-            ],
-            max_height=len(starter_model_labels) + 1,
-            relx=4,
-            scroll_exit=True,
-        )
+        if len(self.starter_model_list) > 0:
+            self.add_widget_intelligent(
+                CenteredTitleText,
+                name="== STARTER MODELS (recommended ones selected) ==",
+                editable=False,
+                color="CONTROL",
+            )
+            self.nextrely -= 1
+            self.add_widget_intelligent(
+                CenteredTitleText,
+                name="Select from a starter set of Stable Diffusion models from HuggingFace.",
+                editable=False,
+                labelColor="CAUTION",
+            )
+            self.nextrely -= 1
+            # if user has already installed some initial models, then don't patronize them
+            # by showing more recommendations
+            show_recommended = not self.existing_models
+            self.models_selected = self.add_widget_intelligent(
+                npyscreen.MultiSelect,
+                name="Install Starter Models",
+                values=starter_model_labels,
+                value=[
+                    self.starter_model_list.index(x)
+                    for x in self.starter_model_list
+                    if show_recommended and x in recommended_models
+                ],
+                max_height=len(starter_model_labels) + 1,
+                relx=4,
+                scroll_exit=True,
+            )
        self.add_widget_intelligent(
            CenteredTitleText,
            name='== IMPORT LOCAL AND REMOTE MODELS ==',
@@ -160,7 +166,11 @@ class addModelsForm(npyscreen.FormMultiPage):
            )
            self.nextrely -= 1
        self.import_model_paths = self.add_widget_intelligent(
-            TextBox, max_height=5, scroll_exit=True, editable=True, relx=4
+            TextBox,
+            max_height=7,
+            scroll_exit=True,
+            editable=True,
+            relx=4
        )
        self.nextrely += 1
        self.show_directory_fields = self.add_widget_intelligent(
@@ -235,7 +245,8 @@ class addModelsForm(npyscreen.FormMultiPage):

    def resize(self):
        super().resize()
-        self.models_selected.values = self._get_starter_model_labels()
+        if hasattr(self,'models_selected'):
+            self.models_selected.values = self._get_starter_model_labels()

    def _clear_scan_directory(self):
        if not self.show_directory_fields.value:
@@ -249,7 +260,7 @@ class addModelsForm(npyscreen.FormMultiPage):
        )

    def _get_starter_model_labels(self) -> List[str]:
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width, window_height = get_terminal_size()
        label_width = 25
        checkbox_width = 4
        spacing_width = 2
@@ -268,7 +279,7 @@ class addModelsForm(npyscreen.FormMultiPage):
        ]

    def _get_columns(self) -> int:
-        window_height, window_width = curses.initscr().getmaxyx()
+        window_width, window_height = get_terminal_size()
        cols = (
            4
            if window_width > 240
@@ -314,11 +325,14 @@ class addModelsForm(npyscreen.FormMultiPage):
        selections = self.parentApp.user_selections

        # starter models to install/remove
-        starter_models = dict(
-            map(
-                lambda x: (self.starter_model_list[x], True), self.models_selected.value
+        if hasattr(self,'models_selected'):
+            starter_models = dict(
+                map(
+                    lambda x: (self.starter_model_list[x], True), self.models_selected.value
+                )
            )
-        )
+        else:
+            starter_models = dict()
        selections.purge_deleted_models = False
        if hasattr(self, "previously_installed_models"):
            unchecked = [
@@ -362,7 +376,6 @@ class AddModelApplication(npyscreen.NPSAppManaged):
            "MAIN", addModelsForm, name="Install Stable Diffusion Models"
        )

-
 # --------------------------------------------------------
 def process_and_execute(opt: Namespace, selections: Namespace):
    models_to_remove = [
@@ -409,6 +422,7 @@ def select_and_download_models(opt: Namespace):
            precision=precision,
        )
    else:
+        set_min_terminal_size(MIN_COLS, MIN_LINES)
        installApp = AddModelApplication()
        installApp.run()

@@ -475,7 +489,7 @@ def main():
        sys.exit(-1)
    except KeyboardInterrupt:
        print("\nGoodbye! Come back soon.")
-    except (widget.NotEnoughSpaceForWidget, Exception) as e:
+    except widget.NotEnoughSpaceForWidget as e:
        if str(e).startswith("Height of 1 allocated"):
            print(
                "** Insufficient vertical space for the interface. Please make your window taller and try again"
@@ -484,11 +498,6 @@ def main():
            print(
                "** Insufficient horizontal space for the interface. Please make your window wider and try again."
            )
-        else:
-            print(f"** An error has occurred: {str(e)}")
-            traceback.print_exc()
-        sys.exit(-1)
-

 # -------------------------------------
 if __name__ == "__main__":
--- a/ldm/invoke/config/model_install_backend.py
+++ b/ldm/invoke/config/model_install_backend.py
@@ -67,6 +67,9 @@ def install_requested_models(
        purge_deleted: bool = False,
        config_file_path: Path = None,
 ):
+    '''
+    Entry point for installing/deleting starter models, or installing external models.
+    '''
    config_file_path=config_file_path or default_config_file()
    if not config_file_path.exists():
        open(config_file_path,'w')
@@ -117,14 +120,15 @@ def install_requested_models(
        argument = '--autoconvert' if convert_to_diffusers else '--autoimport'
        initfile = Path(Globals.root, Globals.initfile)
        replacement = Path(Globals.root, f'{Globals.initfile}.new')
+        directory = str(scan_directory).replace('\\','/')
        with open(initfile,'r') as input:
            with open(replacement,'w') as output:
                while line := input.readline():
                    if not line.startswith(argument):
                        output.writelines([line])
-                output.writelines([f'{argument} {str(scan_directory)}'])
+                output.writelines([f'{argument} "{directory}"'])
        os.replace(replacement,initfile)
-            
+
 # -------------------------------------
 def yes_or_no(prompt: str, default_yes=True):
    default = "y" if default_yes else "n"
@@ -231,7 +235,6 @@ def _download_ckpt_weights(mconfig: DictConfig, access_token: str) -> Path:
 def download_from_hf(
    model_class: object, model_name: str, cache_subdir: Path = Path("hub"), **kwargs
 ):
-    print("", file=sys.stderr)  # to prevent tqdm from overwriting
    path = global_cache_dir(cache_subdir)
    model = model_class.from_pretrained(
        model_name,
--- a/ldm/invoke/config/widgets.py
+++ b/ldm/invoke/config/widgets.py
@@ -2,8 +2,34 @@
 Widget class definitions used by model_select.py, merge_diffusers.py and textual_inversion.py
 '''
 import math
+import platform
 import npyscreen
+import os
+import sys
 import curses
+import struct
+
+from shutil import get_terminal_size
+
+# -------------------------------------
+def set_terminal_size(columns: int, lines: int):
+    OS = platform.uname().system
+    if OS=="Windows":
+        os.system(f'mode con: cols={columns} lines={lines}')
+    elif OS in ['Darwin', 'Linux']:
+        import termios
+        import fcntl
+        winsize = struct.pack("HHHH", lines, columns, 0, 0)
+        fcntl.ioctl(sys.stdout.fileno(), termios.TIOCSWINSZ, winsize)
+        sys.stdout.write("\x1b[8;{rows};{cols}t".format(rows=lines, cols=columns))
+        sys.stdout.flush()
+
+def set_min_terminal_size(min_cols: int, min_lines: int):
+    # make sure there's enough room for the ui
+    term_cols, term_lines = get_terminal_size()
+    cols  = max(term_cols, min_cols)
+    lines = max(term_lines, min_lines)
+    set_terminal_size(cols,lines)

 class IntSlider(npyscreen.Slider):
    def translate_value(self):
@@ -23,7 +49,6 @@ class CenteredTitleText(npyscreen.TitleText):
        maxy, maxx = self.parent.curses_pad.getmaxyx()
        label = self.name
        self.relx = (maxx - len(label)) // 2
-        begin_entry_at = -self.relx + 2
    
 # -------------------------------------
 class CenteredButtonPress(npyscreen.ButtonPress):
--- a/ldm/invoke/generator/base.py
+++ b/ldm/invoke/generator/base.py
@@ -137,17 +137,9 @@ class Generator:
        Given samples returned from a sampler, converts
        it into a PIL Image
        """
-        x_samples = self.model.decode_first_stage(samples)
-        x_samples = torch.clamp((x_samples + 1.0) / 2.0, min=0.0, max=1.0)
-        if len(x_samples) != 1:
-            raise Exception(
-                f'>> expected to get a single image, but got {len(x_samples)}')
-        x_sample = 255.0 * rearrange(
-            x_samples[0].cpu().numpy(), 'c h w -> h w c'
-        )
-        return Image.fromarray(x_sample.astype(np.uint8))
-
-        # write an approximate RGB image from latent samples for a single step to PNG
+        with torch.inference_mode():
+            image = self.model.decode_latents(samples)
+        return self.model.numpy_to_pil(image)[0]

    def repaste_and_color_correct(self, result: Image.Image, init_image: Image.Image, init_mask: Image.Image, mask_blur_radius: int = 8) -> Image.Image:
        if init_image is None or init_mask is None:
--- a/ldm/invoke/globals.py
+++ b/ldm/invoke/globals.py
@@ -19,15 +19,7 @@ from typing import Union

 Globals = Namespace()

-# This is usually overwritten by the command line and/or environment variables
-if os.environ.get('INVOKEAI_ROOT'):
-    Globals.root = osp.abspath(os.environ.get('INVOKEAI_ROOT'))
-elif os.environ.get('VIRTUAL_ENV'):
-    Globals.root = osp.abspath(osp.join(os.environ.get('VIRTUAL_ENV'), '..'))
-else:
-    Globals.root = osp.abspath(osp.expanduser('~/invokeai'))
-
-# Where to look for the initialization file
+# Where to look for the initialization file and other key components
 Globals.initfile = 'invokeai.init'
 Globals.models_file = 'models.yaml'
 Globals.models_dir = 'models'
@@ -35,6 +27,20 @@ Globals.config_dir = 'configs'
 Globals.autoscan_dir = 'weights'
 Globals.converted_ckpts_dir = 'converted_ckpts'

+# Set the default root directory. This can be overwritten by explicitly
+# passing the `--root <directory>` argument on the command line.
+# logic is:
+# 1) use INVOKEAI_ROOT environment variable (no check for this being a valid directory)
+# 2) use VIRTUAL_ENV environment variable, with a check for initfile being there
+# 3) use ~/invokeai
+
+if os.environ.get('INVOKEAI_ROOT'):
+    Globals.root = osp.abspath(os.environ.get('INVOKEAI_ROOT'))
+elif os.environ.get('VIRTUAL_ENV') and Path(os.environ.get('VIRTUAL_ENV'),'..',Globals.initfile).exists():
+    Globals.root = osp.abspath(osp.join(os.environ.get('VIRTUAL_ENV'), '..'))
+else:
+    Globals.root = osp.abspath(osp.expanduser('~/invokeai'))
+
 # Try loading patchmatch
 Globals.try_patchmatch = True

--- a/ldm/invoke/model_manager.py
+++ b/ldm/invoke/model_manager.py
@@ -428,8 +428,6 @@ class ModelManager(object):
            torch.cuda.reset_peak_memory_stats()
            torch.cuda.empty_cache()

-        tic = time.time()
-
        # this does the work
        if not os.path.isabs(config):
            config = os.path.join(Globals.root, config)
@@ -626,7 +624,7 @@ class ModelManager(object):
        self,
        repo_or_path: Union[str, Path],
        model_name: str = None,
-        model_description: str = None,
+        description: str = None,
        vae: dict = None,
        commit_to_conf: Path = None,
    ) -> bool:
@@ -642,21 +640,18 @@ class ModelManager(object):
        models.yaml file.
        """
        model_name = model_name or Path(repo_or_path).stem
-        description = model_description or f"imported diffusers model {model_name}"
+        model_description = description or f"Imported diffusers model {model_name}"
        new_config = dict(
            description=model_description,
            vae=vae,
            format="diffusers",
        )
-        print(f"DEBUG: here i am 1")
        if isinstance(repo_or_path, Path) and repo_or_path.exists():
            new_config.update(path=str(repo_or_path))
        else:
            new_config.update(repo_id=repo_or_path)
-        print(f"DEBUG: here i am 2")

        self.add_model(model_name, new_config, True)
-        print(f"DEBUG: config = {self.config}")
        if commit_to_conf:
            self.commit(commit_to_conf)
        return model_name
@@ -704,7 +699,7 @@ class ModelManager(object):
            model_name or Path(weights).stem
        )  # note this gives ugly pathnames if used on a URL without a Content-Disposition header
        model_description = (
-            model_description or f"imported stable diffusion weights file {model_name}"
+            model_description or f"Imported stable diffusion weights file {model_name}"
        )
        new_config = dict(
            weights=str(weights_path),
@@ -730,7 +725,7 @@ class ModelManager(object):
        SDLegacyType.V1
        SDLegacyType.V1_INPAINT
        SDLegacyType.V2
-        UNKNOWN
+        SDLegacyType.UNKNOWN
        """
        key_name = "model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight"
        if key_name in checkpoint and checkpoint[key_name].shape[-1] == 1024:
@@ -790,7 +785,7 @@ class ModelManager(object):
        print(f">> Probing {thing} for import")

        if thing.startswith(("http:", "https:", "ftp:")):
-            print(f"   | {thing} appears to be a URL")
+            print(f"  | {thing} appears to be a URL")
            model_path = self._resolve_path(
                thing, "models/ldm/stable-diffusion-v1"
            )  # _resolve_path does a download if needed
@@ -798,15 +793,15 @@ class ModelManager(object):
        elif Path(thing).is_file() and thing.endswith((".ckpt", ".safetensors")):
            if Path(thing).stem in ["model", "diffusion_pytorch_model"]:
                print(
-                    f"   | {Path(thing).name} appears to be part of a diffusers model. Skipping import"
+                    f"  | {Path(thing).name} appears to be part of a diffusers model. Skipping import"
                )
                return
            else:
-                print(f"   | {thing} appears to be a checkpoint file on disk")
+                print(f"  | {thing} appears to be a checkpoint file on disk")
                model_path = self._resolve_path(thing, "models/ldm/stable-diffusion-v1")

        elif Path(thing).is_dir() and Path(thing, "model_index.json").exists():
-            print(f"   | {thing} appears to be a diffusers file on disk")
+            print(f"  | {thing} appears to be a diffusers file on disk")
            model_name = self.import_diffuser_model(
                thing,
                vae=dict(repo_id="stabilityai/sd-vae-ft-mse"),
@@ -817,13 +812,13 @@ class ModelManager(object):

        elif Path(thing).is_dir():
            if (Path(thing) / "model_index.json").exists():
-                print(f">> {thing} appears to be a diffusers model.")
+                print(f"  | {thing} appears to be a diffusers model.")
                model_name = self.import_diffuser_model(
                    thing, commit_to_conf=commit_to_conf
                )
            else:
                print(
-                    f">> {thing} appears to be a directory. Will scan for models to import"
+                    f"  |{thing} appears to be a directory. Will scan for models to import"
                )
                for m in list(Path(thing).rglob("*.ckpt")) + list(
                    Path(thing).rglob("*.safetensors")
@@ -835,12 +830,12 @@ class ModelManager(object):
                return model_name

        elif re.match(r"^[\w.+-]+/[\w.+-]+$", thing):
-            print(f"   | {thing} appears to be a HuggingFace diffusers repo_id")
+            print(f"  | {thing} appears to be a HuggingFace diffusers repo_id")
            model_name = self.import_diffuser_model(
                thing, commit_to_conf=commit_to_conf
            )
            pipeline, _, _, _ = self._load_diffusers_model(self.config[model_name])
-
+            return model_name
        else:
            print(
                f"** {thing}: Unknown thing. Please provide a URL, file path, directory or HuggingFace repo_id"
@@ -852,7 +847,7 @@ class ModelManager(object):
            return

        if model_path.stem in self.config:  # already imported
-            print("   | Already imported. Skipping")
+            print("  | Already imported. Skipping")
            return

        # another round of heuristics to guess the correct config file.
@@ -865,18 +860,18 @@ class ModelManager(object):

        model_config_file = None
        if model_type == SDLegacyType.V1:
-            print("   | SD-v1 model detected")
+            print("  | SD-v1 model detected")
            model_config_file = Path(
                Globals.root, "configs/stable-diffusion/v1-inference.yaml"
            )
        elif model_type == SDLegacyType.V1_INPAINT:
-            print("   | SD-v1 inpainting model detected")
+            print("  | SD-v1 inpainting model detected")
            model_config_file = Path(
                Globals.root, "configs/stable-diffusion/v1-inpainting-inference.yaml"
            )
        elif model_type == SDLegacyType.V2:
            print(
-                "   | SD-v2 model detected; model will be converted to diffusers format"
+                "  | SD-v2 model detected; model will be converted to diffusers format"
            )
            model_config_file = Path(
                Globals.root, "configs/stable-diffusion/v2-inference-v.yaml"
@@ -928,7 +923,7 @@ class ModelManager(object):
        vae=None,
        original_config_file: Path = None,
        commit_to_conf: Path = None,
-    ) -> dict:
+    ) -> str:
        """
        Convert a legacy ckpt weights file to diffuser model and import
        into models.yaml.
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -38,7 +38,7 @@ dependencies = [
  "albumentations",
  "click",
  "clip_anytorch",          # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
-  "compel>=0.1.6",
+  "compel==0.1.7",
  "datasets",
  "diffusers[torch]~=0.13",
  "dnspython==2.2.1",
--- a/scripts/make_models_markdown_table.py
+++ b/scripts/make_models_markdown_table.py
@@ -0,0 +1,23 @@
+#!/usr/bin/env python
+
+'''
+This script is used at release time to generate a markdown table describing the
+starter models. This text is then manually copied into 050_INSTALL_MODELS.md.
+'''
+
+from omegaconf import OmegaConf
+from pathlib import Path
+
+
+def main():
+    initial_models_file = Path(__file__).parent / '../invokeai/configs/INITIAL_MODELS.yaml'
+    models = OmegaConf.load(initial_models_file)
+    print('|Model Name | HuggingFace Repo ID | Description | URL |')
+    print('|---------- | ---------- | ----------- | --- |')
+    for model in models:
+        repo_id = models[model].repo_id
+        url = f'https://huggingface.co/{repo_id}'
+        print(f'|{model}|{repo_id}|{models[model].description}|{url} |')
+
+if __name__ == '__main__':
+    main()
Author	SHA1	Message	Date
Lincoln Stein	76adcc122b	remove deprecated binary installer	2023-02-27 00:24:52 -05:00
Lincoln Stein	650f4bb58c	quote output, embedding and autoscan directores in invokeai.init (#2827 ) This should prevent the errors that users are seeing with spaces in the file paths	2023-02-27 00:17:37 -05:00
Lincoln Stein	7b92b27ceb	Merge branch 'v2.3' into bugfix/quote-initfile-paths	2023-02-26 23:54:20 -05:00
Lincoln Stein	8f1b301d01	restore previous naming scheme for sd-2.x models: (#2820 ) - stable-diffusion-2.1-base base model from stabilityai/stable-diffusion-2-1-base - stable-diffusion-2.1-768 768 pixel model from stabilityai/stable-diffusion-2-1-768 - sd-inpainting-2.0 512 pixel inpainting model from runwayml/stable-diffusion-inpainting This PR also bumps the version number up to v2.3.1.post2	2023-02-26 23:54:06 -05:00
Lincoln Stein	e3a19d4f3e	quote output, embedding and autoscan directores in invokeai.init - this should prevent the errors that users are seeing with spaces in the file pathsa quot	2023-02-26 23:02:18 -05:00
Lincoln Stein	ecbb385447	bump version number	2023-02-26 16:11:07 -05:00
Lincoln Stein	741464b053	restore previous naming scheme for sd-2.x models: - stable-diffusion-2.1-base base model from stabilityai/stable-diffusion-2-1-base - stable-diffusion-2.1-768 768 pixel model from stabilityai/stable-diffusion-2-1-768 - sd-inpainting-2.0 512 pixel inpainting model from runwayml/stable-diffusion-inpainting	2023-02-26 15:31:43 -05:00
blessedcoolant	33f832e6ab	[ui]: 2.3 hotfixes (#2806 ) - Updated Spanish translation - Updated Portuguese (Brazil) translation - Fix a number of translation issues and add missing strings - Fix vertical symmetry and symmetry steps issue when generation steps is adjusted	2023-02-26 12:30:59 +13:00
psychedelicious	281c788489	chore(ui): build frontend	2023-02-25 14:26:50 +11:00
psychedelicious	3858bef185	fix(ui): clamp symmetry steps to generation steps Also renamed the variables to `horizontalSymmetrySteps` as `TimePercentage` is not accurate.	2023-02-25 14:26:46 +11:00
psychedelicious	f9a1afd09c	fix(ui): fix #2802 vertical symmetry not working	2023-02-25 11:28:17 +11:00
psychedelicious	251e9c0294	fix(ui): add missing strings Fixes #2797 Fixes #2798	2023-02-25 11:27:47 +11:00
psychedelicious	d8bf2e3c10	fix(ui): fix translation typing, fix strings I had inadvertently un-safe-d our translation types when migrating to Weblate. This PR fixes that, and a number of translation string bugs that went unnoticed due to the lack of type safety,	2023-02-25 11:26:35 +11:00
Gabriel Mackievicz Telles	218f30b7d0	translationBot(ui): update translation (Portuguese (Brazil)) Currently translated at 91.8% (431 of 469 strings) Co-authored-by: Gabriel Mackievicz Telles <telles.gabriel@gmail.com> Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/pt_BR/ Translation: InvokeAI/Web UI	2023-02-25 11:13:23 +11:00
Jeff Mahoney	da983c7773	translationBot(ui): added translation (Romanian) Co-authored-by: Jeff Mahoney <jbmahoney@gmail.com>	2023-02-25 11:13:23 +11:00
gallegonovato	7012e16c43	translationBot(ui): update translation (Spanish) Currently translated at 100.0% (469 of 469 strings) Co-authored-by: gallegonovato <fran-carro@hotmail.es> Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/es/ Translation: InvokeAI/Web UI	2023-02-25 11:13:23 +11:00
Lincoln Stein	b1050abf7f	hotfix for broken merge function (#2801 ) Bump version up to accommodate a hotfix on v2.3.1 release. (model merge functionality was broken)	2023-02-24 15:33:54 -05:00
Lincoln Stein	210998081a	use right pep-440 standard version number	2023-02-24 15:14:39 -05:00
Lincoln Stein	604acb9d91	use pep-440 standard version number	2023-02-24 15:07:54 -05:00
Lincoln Stein	5beeb1a897	hotfix for broken merge function	2023-02-24 15:00:22 -05:00
Lincoln Stein	de6304b729	fixes crashes on merge in both WebUI and console (#2800 ) - an inadvertent change to the model manager broke the merging functions - corrected here - will be a hotfix	2023-02-24 14:58:06 -05:00
Lincoln Stein	d0be79c33d	fixes crashes on merge in both WebUI and console - an inadvertent change to the model manager broke the merging functions - corrected here - will be a hotfix	2023-02-24 14:54:23 -05:00
Lincoln Stein	b4ed8bc47a	Merge branch 'main' into v2.3	2023-02-24 10:52:03 -05:00
Lincoln Stein	bd85e00530	Last PR needed for v2.3.1 (#2788 ) - Add curated set of starter models based on team discussion. The final list of starter models can be found in `invokeai/configs/INITIAL_MODELS.yaml` - To test model installation, I selected and installed all the models on the list. This led to my discovering that when there are no more starter models to display, the console front end crashes. So I made a fix to this in which the entire starter model selection is no longer shown. - Update model table in 050_INSTALL_MODELS.md - Add guide to dealing with low-memory situations - Version is now `v2.3.1`	2023-02-24 10:31:38 -05:00
Lincoln Stein	4e446130d8	Merge branch 'v2.3' into enhance/curated-2.3.1-models	2023-02-24 10:30:42 -05:00
Lincoln Stein	4c93b514bb	bump version to final 2.3.1	2023-02-24 10:04:41 -05:00
Lincoln Stein	d078941316	add low memory troubleshooting guide	2023-02-24 10:04:06 -05:00
Lincoln Stein	230d3a496d	document starter models - add new script `scripts/make_models_markdown_table.py` that parses INITIAL_MODELS.yaml and creates markdown table for the model installation documentation file - update 050_INSTALLING_MODELS.md with above table, and add a warning about additional license terms that apply to some of the models.	2023-02-24 09:33:07 -05:00
Jonathan	ec2890c19b	Run garbage collection to allow the CUDA cache to completely empty. (#2791 )	2023-02-24 08:48:54 -05:00
Lincoln Stein	a540cc537f	add curated set of HuggingFace diffusers models for 2.3.1 release - Final list can be found in invokeai/configs/INITIAL_MODELS.yaml - After installing all the models, I discovered a bug in the file selection form that caused a crash when no remaining uninstalled models remained. So had to fix this.	2023-02-24 00:53:48 -05:00
Lincoln Stein	39c57aa358	fix generate backend to generate "accurate" intermediate images (#2787 ) The sample_to_image method in `ldm.invoke.generator.base` was still using ckpt-era code. As a result when the WebUI was set to show "accurate" intermediate images, there'd be a crash. This PR corrects the problem. - Closes #2784 - Closes #2775	2023-02-24 00:33:29 -05:00
Lincoln Stein	2d990c1f54	Merge branch 'v2.3' into bugfix/webui-accurate-intermediates	2023-02-23 22:07:18 -05:00
Lincoln Stein	7fb2da8741	fix generate backend to generate "accurate" intermediate images - Closes #2784 - Closes #2775	2023-02-23 22:03:28 -05:00
Lincoln Stein	c69fcb1c10	fix ckpt_convert module to work with dreambooth v2 models (#2776 ) - Discord member @marcus.llewellyn reported that some civitai 2.1-derived checkpoints were not converting properly (probably dreambooth-generated): https://discord.com/channels/1020123559063990373/1078386197589655582/1078387806122025070 - @blessedcoolant tracked this down to a missing key that was used to derive vector length of the CLIP model used by fetching the second dimension of the tensor at "cond_stage_model.model.text_projection". - On inspection, I found that the same second dimension can be recovered from key 'cond_stage_model.model.ln_final.bias', and use that instead. I hope this is correct; tested on multiple v1, v2 and inpainting models and they converted correctly. - While debugging this, I found and fixed several other issues: - model download script was not pre-downloading the OpenCLIP text_encoder or text_tokenizer. This is fixed. - got rid of legacy code in `ckpt_to_diffuser.py` and replaced with calls into `model_manager` - more consistent status reporting in the CLI.	2023-02-23 21:51:57 -05:00
Lincoln Stein	0982548e1f	Merge branch 'v2.3' into bugfix/v2-model-conversion	2023-02-23 21:27:49 -05:00
Matthias Wild	11a29fdc4d	fix python 3.9 compatibility (#2780 ) without this change, the project can be installed on 3.9 but not used this also fixes the container images Maybe we should re-enable Python 3.9 checks which would have prevented this.	2023-02-24 00:49:25 +01:00
Lincoln Stein	24407048a5	Version 2.3.1-rc4 (#2782 ) Just a version bump to use a format recognized by PyPi.	2023-02-23 18:09:43 -05:00
Matthias Wild	a7c2333312	Merge branch 'main' into fix/py39-compatibility	2023-02-23 23:53:38 +01:00
Lincoln Stein	b5b541c747	bump version; use correct format for PyPi	2023-02-23 17:47:36 -05:00
Lincoln Stein	ad6ea02c9c	Update main with V2.3 fixes (#2774 ) Until the nodes merge happens, we can continue to merge bugfixes from the 2.3 branch into `main`. This will bring main into sync with `v2.3.1+rc3`	2023-02-23 17:38:16 -05:00
mauwii	1a6ed85d99	fix typeing to be compatible with python 3.9 without this, the project can be installed on 3.9 but not used this also fixes the container images	2023-02-23 23:27:16 +01:00
Lincoln Stein	a094bbd839	push to pypi from branch v2.3 (#2778 ) This change will cause releases on the v2.3 branch to be pushed to PyPi.	2023-02-23 17:20:24 -05:00
Lincoln Stein	73dda812ea	push to pypi from branch v2.3 This change will cause releases on the v2.3 branch to be pushed to PyPi.	2023-02-23 16:55:25 -05:00
Lincoln Stein	8eaf1c4033	Revert "(updater) style 'pip' progress to use dark background" This reverts commit `89239d1c54`. - This was making a subprocess call to 'bash', and hence crashing on windows systems!	2023-02-23 16:33:57 -05:00
Lincoln Stein	4f44b64052	fix ckpt_convert module to work with dreambooth v2 models - Discord member @marcus.llewellyn reported that some civitai 2.1-derived checkpoints were not converting properly (probably dreambooth-generated): https://discord.com/channels/1020123559063990373/1078386197589655582/1078387806122025070 - @blessedcoolant tracked this down to a missing key that was used to derive vector length of the CLIP model used by fetching the second dimension of the tensor at "cond_stage_model.model.text_projection". His proposed solution was to hardcode a value of 1024. - On inspection, I found that the same second dimension can be recovered from key 'cond_stage_model.model.ln_final.bias', and use that instead. I hope this is correct; tested on multiple v1, v2 and inpainting models and they converted correctly. - While debugging this, I found and fixed several other issues: - model download script was not pre-downloading the OpenCLIP text_encoder or text_tokenizer. This is fixed. - got rid of legacy code in `ckpt_to_diffuser.py` and replaced with calls into `model_manager` - more consistent status reporting in the CLI.	2023-02-23 15:43:58 -05:00
Lincoln Stein	c559bf3e10	Add a sanity check to root directory finding algorithm (#2772 ) Root directory finding algorithm is: 2) use --root argument 2) use INVOKEAI_ROOT environment variable 3) use VIRTUAL_ENV environment variable 4) use ~/invokeai Since developers are liable to put virtual environments in their favorite places, not necessarily in the invokeai root directory, this PR adds a sanity check that looks for the existence of `VIRTUAL_ENV/invokeai.init`, and moves on to (4) if not found.	2023-02-23 11:37:11 -05:00
Lincoln Stein	a485515bc6	Merge branch 'v2.3' into bugfix/sanity-check-rootdir	2023-02-23 11:14:52 -05:00
Lincoln Stein	2c9b29725b	Bugfix/windows install (#2770 ) # This will constitute v2.3.1+rc2 ## Windows installer enhancements 1. resize installer window to give more room for configure and download forms 2. replace '\' with '/' in directory names to allow user to drag-and-drop folders into the dialogue boxes that accept directories. 3. similar change in CLI for the !import_model and !convert_model commands 4. better error reporting when a model download fails due to network errors 5. put the launcher scripts into a loop so that menu reappears after invokeai, merge script, etc exits. User can quit with "Q". 6. do not try to download fp16 of sd-ft-mse-vae, since it doesn't exist. 7. cleaned up status reporting when installing models 8. Detect when install failed for some reason and print helpful error message rather than stack trace. 9. Detect window size and resize to minimum acceptable values to provide better display of configure and install forms. 10. Fix a bug in the CLI which prevented diffusers imported by their repo_ids from being correctly registered in the current session (though they install correctly) 11. Capitalize the "i" in Imported in the autogenerated descriptions.	2023-02-23 11:14:30 -05:00
Lincoln Stein	28612c899a	add a sanity check to root directory finding algorithm Root directory finding algorithm is: 2) use --root argument 2) use INVOKEAI_ROOT environment variable 3) use VIRTUAL_ENV environment variable 4) use ~/invokeai Since developer's are liable to put virtual environments in their favorite places, not necessarily in the invokeai root directory, this PR adds a sanity check that looks for the existence of VIRTUAL_ENV/invokeai.init, and moves to (4) if not found.	2023-02-23 10:15:01 -05:00
Lincoln Stein	88acbeaa35	install creator tags but don't commit	2023-02-23 07:08:41 -05:00
Lincoln Stein	46729efe95	upgrade to compel 0.1.7	2023-02-23 07:06:40 -05:00
Lincoln Stein	b3d03e1146	Merge branch 'v2.3.1' into bugfix/windows-install	2023-02-23 01:04:39 -05:00
Lincoln Stein	e29c9a7d9e	fix CLI import of diffusers by repo_id - Fix a bug in the CLI which prevented diffusers imported by their repo_ids from being correctly registered in the current session (though they install correctly) - Capitalize the "i" in Imported in the autogenerated descriptions.	2023-02-23 01:00:14 -05:00
Lincoln Stein	9b157b6532	fix several issues with Windows installs 1. resize installer window to give more room for configure and download forms 2. replace '\' with '/' in directory names to allow user to drag-and-drop folders into the dialogue boxes that accept directories. 3. similar change in CLI for the !import_model and !convert_model commands 4. better error reporting when a model download fails due to network errors 5. put the launcher scripts into a loop so that menu reappears after invokeai, merge script, etc exits. User can quit with "Q". 6. do not try to download fp16 of sd-ft-mse-vae, since it doesn't exist. 7. cleaned up status reporting when installing models	2023-02-23 00:49:59 -05:00
blessedcoolant	10a1e7962b	docs: add TRANSLATION.md (#2769 )	2023-02-23 15:37:15 +13:00
Lincoln Stein	cb672d7d00	Merge branch 'v2.3.1' into docs/add-translation-md	2023-02-22 21:35:39 -05:00
psychedelicious	e791fb6b0b	docs: tweak messaging	2023-02-23 13:00:05 +11:00
psychedelicious	1c9001ad21	docs: add TRANSLATION.md	2023-02-23 12:53:03 +11:00
Lincoln Stein	3083356cf0	installer enhancements - Detect when install failed for some reason and print helpful error message rather than stack trace. - Detect window size and resize to minimum acceptable values to provide better display of configure and install forms.	2023-02-22 19:18:07 -05:00
blessedcoolant	179814e50a	[WebUI] 2.3.1 Localization (#2765 )	2023-02-23 10:29:14 +13:00
blessedcoolant	9515c07fca	Merge branch 'v2.3.1' into localization-231	2023-02-23 10:29:02 +13:00
blessedcoolant	a45e94fde7	build: localization (2.3.1-final)	2023-02-23 09:47:01 +13:00
Lincoln Stein	8b6196e0a2	version 2.3.1 release candidate 1	2023-02-22 15:26:35 -05:00
Sergey Krashevich	ee2c0ab51b	translationBot(ui): update translation (Russian) Currently translated at 81.4% (382 of 469 strings) translationBot(ui): update translation (Russian) Currently translated at 81.6% (382 of 468 strings) Co-authored-by: Sergey Krashevich <svk@svk.su> Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/ru/ Translation: InvokeAI/Web UI	2023-02-22 21:25:08 +01:00
Riccardo Giovanetti	ca5f129902	translationBot(ui): update translation (Italian) Currently translated at 100.0% (469 of 469 strings) translationBot(ui): update translation (Italian) Currently translated at 100.0% (468 of 468 strings) Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com> Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/ Translation: InvokeAI/Web UI	2023-02-22 21:25:08 +01:00