diff --git a/installer/install.bat b/installer/install.bat
index 7d6c7c43de..131b14e06e 100644
--- a/installer/install.bat
+++ b/installer/install.bat
@@ -12,8 +12,6 @@
 
 echo ***** Installing InvokeAI.. *****
 
-set PATH=c:\windows\system32
-
 @rem Config
 set INSTALL_ENV_DIR=%cd%\installer_files\env
 @rem https://mamba.readthedocs.io/en/latest/installation.html
@@ -103,11 +101,8 @@ echo ***** Unpacked python-build-standalone *****
 @rem create venv
 set err_msg=----- problem creating venv -----
 .\python\python -E -s -m venv .venv
-@rem In reality, the following is ALL that 'activate.bat' does,
-@rem aside from setting the prompt, which we don't care about
-set PYTHONPATH=
-set PATH=.venv\Scripts;%PATH%
 if %errorlevel% neq 0 goto err_exit
+call .venv\Scripts\activate.bat
 
 echo ***** Created Python virtual environment *****
 
@@ -131,10 +126,6 @@ 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
 
-set err_msg=----- clipseg install failed -----
-.venv\Scripts\python -m pip install --no-cache-dir --no-warn-script-location git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-if %errorlevel% neq 0 goto err_exit
-
 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
@@ -155,6 +146,8 @@ echo All done! Execute the file invoke.bat in this directory to start InvokeAI
 @rem more cleanup
 rd /s /q installer installer_files
 
+deactivate
+
 pause
 exit
 
diff --git a/installer/install.sh b/installer/install.sh
index fe6c38fcd1..a6fa268b95 100755
--- a/installer/install.sh
+++ b/installer/install.sh
@@ -29,7 +29,7 @@ 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
+    *)          echo -e "\n----- Unknown OS: $OS_NAME! This script runs only on Linux or macOS -----\n" && exit
 esac
 
 OS_ARCH=$(uname -m)
@@ -154,12 +154,22 @@ 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 $? _err_msg
-# In reality, the following is ALL that 'activate.bat' does,
-# aside from setting the prompt, which we don't care about
-export PYTHONPATH=
-export PATH=.venv/bin:$PATH
+source .venv/bin/activate
 
 echo -e "\n***** Created Python virtual environment *****\n"
 
@@ -183,10 +193,6 @@ _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
 
-_err_msg="\n----- clipseg install failed -----\n"
-.venv/bin/python3 -m pip install --no-cache-dir --no-warn-script-location git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
-_err_exit $? _err_msg
-
 _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
@@ -206,6 +212,8 @@ cp installer/invoke.sh .
 # more cleanup
 rm -rf installer/ installer_files/
 
+deactivate
+
 echo "All done! Run the command './invoke.sh' to start InvokeAI."
 read -p "Press any key to exit..."
 exit
diff --git a/installer/invoke.bat b/installer/invoke.bat
index c00975fd3b..2d01c73b0b 100644
--- a/installer/invoke.bat
+++ b/installer/invoke.bat
@@ -1,7 +1,6 @@
 @echo off
 
-set PATH=c:\windows\system32
-set PATH=.venv\Scripts;%PATH%
+call .venv\Scripts\activate.bat
 
 echo Do you want to generate images using the
 echo 1. command-line
@@ -16,12 +15,16 @@ IF /I "%restore%" == "1" (
     .venv\Scripts\python scripts\invoke.py --web
 ) ELSE IF /I "%restore%" == "3" (
     echo Developer Console
-    call where python
-    call python --version
-
-    cmd /k
+    echo 'python' command is:
+    where python
+    echo 'python' version is:
+    python --version
+    echo Type 'exit' to quit this shell
+    call cmd
 ) ELSE (
     echo Invalid selection
     pause
     exit /b
 )
+
+deactivate
diff --git a/installer/invoke.sh b/installer/invoke.sh
index 58f342d471..32606f28bc 100755
--- a/installer/invoke.sh
+++ b/installer/invoke.sh
@@ -3,7 +3,7 @@
 set -euo pipefail
 IFS=$'\n\t'
 
-PATH=.venv/scripts:$PATH
+source .venv/bin/activate
 
 if [ "$0" != "bash" ]; then
     echo "Do you want to generate images using the"
@@ -18,7 +18,9 @@ if [ "$0" != "bash" ]; then
         * ) echo "Invalid selection"; exit;;
     esac
 else # in developer console
+    echo "'python' command is:"
+    which python
+    echo "'python' version is:"
     python --version
-    echo "Press ^D to exit"
-    export PS1="(InvokeAI) \u@\h \w> "
+    echo "Type 'exit' to quit this shell"
 fi
diff --git a/installer/py3.10-darwin-arm64-mps-reqs.txt b/installer/py3.10-darwin-arm64-mps-reqs.txt
index 116f67ded1..fd4f9dc2cf 100644
--- a/installer/py3.10-darwin-arm64-mps-reqs.txt
+++ b/installer/py3.10-darwin-arm64-mps-reqs.txt
@@ -2,7 +2,7 @@
 # This file is autogenerated by pip-compile with python 3.10
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-darwin-arm64-mps-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-darwin-arm64-mps-reqs.txt installer/requirements.in
 #
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
@@ -13,10 +13,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -180,13 +182,12 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
-colorama==0.4.6 \
-    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
-    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
     # via
-    #   click
-    #   tqdm
+    #   -r installer/requirements.in
+    #   clipseg
+clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
+    --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
+    # via -r installer/requirements.in
 commonmark==0.9.1 \
     --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
     --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
@@ -273,7 +274,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -293,7 +294,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -319,15 +320,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -411,11 +412,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -576,7 +577,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -609,7 +610,7 @@ jsonschema==4.17.0 \
     #   jsonmerge
 k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
     --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -837,7 +838,9 @@ matplotlib==3.6.2 \
     --hash=sha256:ec9be0f4826cdb3a3a517509dcc5f87f370251b76362051ab59e42b6b765f8c4 \
     --hash=sha256:f04f97797df35e442ed09f529ad1235d1f1c0f30878e2fe09a2676b71a8801e0 \
     --hash=sha256:f41e57ad63d336fe50d3a67bb8eaa26c09f6dda6a59f76777a99b8ccd8e26aec
-    # via filterpy
+    # via
+    #   clipseg
+    #   filterpy
 multidict==6.0.2 \
     --hash=sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60 \
     --hash=sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c \
@@ -970,6 +973,7 @@ numpy==1.23.4 \
     #   altair
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   contourpy
     #   diffusers
     #   facexlib
@@ -1018,6 +1022,7 @@ opencv-python==4.6.0.66 \
     --hash=sha256:f482e78de6e7b0b060ff994ffd859bddc3f7f382bb2019ef157b0ea8ca8712f5
     # via
     #   basicsr
+    #   clipseg
     #   facexlib
     #   gfpgan
     #   realesrgan
@@ -1288,7 +1293,7 @@ pyparsing==3.0.9 \
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1425,7 +1430,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1631,6 +1636,7 @@ scipy==1.9.3 \
     #   albumentations
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   facexlib
     #   filterpy
     #   gfpgan
@@ -1646,7 +1652,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1737,11 +1743,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1766,7 +1772,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1816,7 +1822,7 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.13.0 \
+torch==1.13.0 ; platform_system == "Darwin" \
     --hash=sha256:0fdd38c96230947b1ed870fed4a560252f8d23c3a2bf4dab9d2d42b18f2e67c8 \
     --hash=sha256:220325d0f4e69ee9edf00c04208244ef7cf22ebce083815ce272c7491f0603f5 \
     --hash=sha256:43db0723fc66ad6486f86dc4890c497937f7cd27429f28f73fb7e4d74b7482e2 \
@@ -1839,6 +1845,7 @@ torch==1.13.0 \
     --hash=sha256:f68edfea71ade3862039ba66bcedf954190a2db03b0c41a9b79afd72210abd97 \
     --hash=sha256:fa768432ce4b8ffa29184c79a3376ab3de4a57b302cdf3c026a6be4c5a8ab75b
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1858,7 +1865,7 @@ torch==1.13.0 \
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1888,7 +1895,7 @@ torchvision==0.13.1 ; platform_system == "Darwin" \
     --hash=sha256:ef5fe3ec1848123cd0ec74c07658192b3147dcd38e507308c790d5943e87b88c \
     --hash=sha256:f230a1a40ed70d51e463ce43df243ec520902f8725de2502e485efc5eea9d864
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1930,7 +1937,7 @@ tqdm==4.64.1 \
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
@@ -1944,9 +1951,7 @@ typing-extensions==4.4.0 \
 tzdata==2022.6 \
     --hash=sha256:04a680bdc5b15750c39c12a448885a51134a27ec9af83667663f0b3a1bf3f342 \
     --hash=sha256:91f11db4503385928c15598c98573e3af07e7229181bee5375bd30f1695ddcae
-    # via
-    #   pytz-deprecation-shim
-    #   tzlocal
+    # via pytz-deprecation-shim
 tzlocal==4.2 \
     --hash=sha256:89885494684c929d9191c57aa27502afc87a579be5cdd3225c77c463ea043745 \
     --hash=sha256:ee5842fa3a795f023514ac2d801c4a81d1743bbe642e3940143326b3a00addd7
diff --git a/installer/py3.10-darwin-x86_64-cpu-reqs.txt b/installer/py3.10-darwin-x86_64-cpu-reqs.txt
index 2b3d061213..7e54555502 100644
--- a/installer/py3.10-darwin-x86_64-cpu-reqs.txt
+++ b/installer/py3.10-darwin-x86_64-cpu-reqs.txt
@@ -2,7 +2,7 @@
 # This file is autogenerated by pip-compile with python 3.10
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-darwin-x86_64-cpu-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-darwin-x86_64-cpu-reqs.txt installer/requirements.in
 #
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
@@ -13,10 +13,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -180,7 +182,7 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
+    # via -r installer/requirements.in
 colorama==0.4.6 \
     --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
     --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
@@ -273,7 +275,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -293,7 +295,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -319,15 +321,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -411,11 +413,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -576,7 +578,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -609,7 +611,7 @@ jsonschema==4.17.0 \
     #   jsonmerge
 k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
     --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -1288,7 +1290,7 @@ pyparsing==3.0.9 \
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1425,7 +1427,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1646,7 +1648,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1737,11 +1739,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1766,7 +1768,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1816,7 +1818,7 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.13.0 \
+torch==1.13.0 ; platform_system == "Darwin" \
     --hash=sha256:0fdd38c96230947b1ed870fed4a560252f8d23c3a2bf4dab9d2d42b18f2e67c8 \
     --hash=sha256:220325d0f4e69ee9edf00c04208244ef7cf22ebce083815ce272c7491f0603f5 \
     --hash=sha256:43db0723fc66ad6486f86dc4890c497937f7cd27429f28f73fb7e4d74b7482e2 \
@@ -1839,6 +1841,7 @@ torch==1.13.0 \
     --hash=sha256:f68edfea71ade3862039ba66bcedf954190a2db03b0c41a9b79afd72210abd97 \
     --hash=sha256:fa768432ce4b8ffa29184c79a3376ab3de4a57b302cdf3c026a6be4c5a8ab75b
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1858,7 +1861,7 @@ torch==1.13.0 \
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1888,7 +1891,7 @@ torchvision==0.13.1 ; platform_system == "Darwin" \
     --hash=sha256:ef5fe3ec1848123cd0ec74c07658192b3147dcd38e507308c790d5943e87b88c \
     --hash=sha256:f230a1a40ed70d51e463ce43df243ec520902f8725de2502e485efc5eea9d864
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1930,7 +1933,7 @@ tqdm==4.64.1 \
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
diff --git a/installer/py3.10-linux-x86_64-cuda-reqs.txt b/installer/py3.10-linux-x86_64-cuda-reqs.txt
index acb31ffa3f..cbb1d9eb4c 100644
--- a/installer/py3.10-linux-x86_64-cuda-reqs.txt
+++ b/installer/py3.10-linux-x86_64-cuda-reqs.txt
@@ -2,7 +2,7 @@
 # This file is autogenerated by pip-compile with python 3.10
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-linux-x86_64-cuda-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-linux-x86_64-cuda-reqs.txt installer/requirements.in
 #
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
@@ -13,10 +13,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -180,7 +182,12 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
+    # via
+    #   -r installer/requirements.in
+    #   clipseg
+clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
+    --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
+    # via -r installer/requirements.in
 commonmark==0.9.1 \
     --hash=sha256:452f9dc859be7f06631ddcb328b6919c67984aca654e5fefb3914d54691aed60 \
     --hash=sha256:da2f38c92590f83de410ba1a3cbceafbc74fee9def35f9251ba9a971d6d66fd9
@@ -267,7 +274,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -287,7 +294,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -313,15 +320,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -405,11 +412,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -570,7 +577,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -603,7 +610,7 @@ jsonschema==4.17.0 \
     #   jsonmerge
 k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
     --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -831,7 +838,9 @@ matplotlib==3.6.2 \
     --hash=sha256:ec9be0f4826cdb3a3a517509dcc5f87f370251b76362051ab59e42b6b765f8c4 \
     --hash=sha256:f04f97797df35e442ed09f529ad1235d1f1c0f30878e2fe09a2676b71a8801e0 \
     --hash=sha256:f41e57ad63d336fe50d3a67bb8eaa26c09f6dda6a59f76777a99b8ccd8e26aec
-    # via filterpy
+    # via
+    #   clipseg
+    #   filterpy
 multidict==6.0.2 \
     --hash=sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60 \
     --hash=sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c \
@@ -964,6 +973,7 @@ numpy==1.23.4 \
     #   altair
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   contourpy
     #   diffusers
     #   facexlib
@@ -1012,6 +1022,7 @@ opencv-python==4.6.0.66 \
     --hash=sha256:f482e78de6e7b0b060ff994ffd859bddc3f7f382bb2019ef157b0ea8ca8712f5
     # via
     #   basicsr
+    #   clipseg
     #   facexlib
     #   gfpgan
     #   realesrgan
@@ -1282,7 +1293,7 @@ pyparsing==3.0.9 \
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1419,7 +1430,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1625,6 +1636,7 @@ scipy==1.9.3 \
     #   albumentations
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   facexlib
     #   filterpy
     #   gfpgan
@@ -1640,7 +1652,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1731,11 +1743,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1760,7 +1772,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1810,7 +1822,7 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.12.1+cu116 \
+torch==1.12.1+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
     --hash=sha256:7725420dabebfcaf44984edce3283eea91f98f0f7d5874bc68c7a164bd8126e3 \
     --hash=sha256:832effad8b21109700323a5aa137a2e4bdea711dac3d8491ff542f798dab0101 \
     --hash=sha256:84f031e4ee25d95368d7531aa58e79da9808d3fa53b4b363ea03a2450b6fd0af \
@@ -1820,6 +1832,7 @@ torch==1.12.1+cu116 \
     --hash=sha256:dda312901220895087cc83d3665464a3dc171d04460c61c31af463efbfb54896 \
     --hash=sha256:fc9b4786ec54be67eaa8b0c7c9999e2f4ae2b89a1c18e41de1515a190440c691
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1839,7 +1852,7 @@ torch==1.12.1+cu116 \
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1858,7 +1871,7 @@ torchvision==0.13.1+cu116 ; platform_system == "Linux" or platform_system == "Wi
     --hash=sha256:c3ceb2b3f456f0c984af71ef55f8637f178a29dc3e13a66fbb010ceead2891e1 \
     --hash=sha256:dcf32f6d998493e76ec21a38bbb856b7402295cf7a67fb09ce5bde7e7e725756
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1900,7 +1913,7 @@ tqdm==4.64.1 \
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
diff --git a/installer/py3.10-windows-x86_64-cuda-reqs.txt b/installer/py3.10-windows-x86_64-cuda-reqs.txt
index 9945bcc3dd..951f45334e 100644
--- a/installer/py3.10-windows-x86_64-cuda-reqs.txt
+++ b/installer/py3.10-windows-x86_64-cuda-reqs.txt
@@ -2,7 +2,7 @@
 # This file is autogenerated by pip-compile with python 3.10
 # To update, run:
 #
-#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-windows-x86_64-cuda-reqs.txt requirements.in
+#    pip-compile --allow-unsafe --generate-hashes --output-file=installer/py3.10-windows-x86_64-cuda-reqs.txt installer/requirements.in
 #
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https
@@ -13,10 +13,12 @@ absl-py==1.3.0 \
     # via
     #   tb-nightly
     #   tensorboard
-accelerate==0.13.2 \
-    --hash=sha256:dd6f08b010077f252dda5a7699d87b02885335c456770939c536e65ff07ed760 \
-    --hash=sha256:e22180d7094e4c1bfb05a2b078297c222f6b4fa595fde8916946c3f377cdf019
-    # via k-diffusion
+accelerate==0.14.0 \
+    --hash=sha256:31c5bcc40564ef849b5bc1c4424a43ccaf9e26413b7df89c2e36bf81f070fd44 \
+    --hash=sha256:b15d562c0889d0cf441b01faa025dfc29b163d061b6cc7d489c2c83b0a55ffab
+    # via
+    #   -r installer/requirements.in
+    #   k-diffusion
 addict==2.4.0 \
     --hash=sha256:249bb56bbfd3cdc2a004ea0ff4c2b6ddc84d53bc2194761636eb314d5cfa5dfc \
     --hash=sha256:b3b2210e0e067a281f5646c8c5db92e99b7231ea8b0eb5f74dbdf9e259d4e494
@@ -117,7 +119,7 @@ aiosignal==1.2.0 \
 albumentations==1.3.0 \
     --hash=sha256:294165d87d03bc8323e484927f0a5c1a3c64b0e7b9c32a979582a6c93c363bdf \
     --hash=sha256:be1af36832c8893314f2a5550e8ac19801e04770734c1b70fa3c996b41f37bed
-    # via -r requirements.in
+    # via -r installer/requirements.in
 altair==4.2.0 \
     --hash=sha256:0c724848ae53410c13fa28be2b3b9a9dcb7b5caa1a70f7f217bd663bb419935a \
     --hash=sha256:d87d9372e63b48cd96b2a6415f0cf9457f50162ab79dc7a31cd7e024dd840026
@@ -180,7 +182,12 @@ click==8.1.3 \
     #   wandb
 clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip \
     --hash=sha256:b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a
-    # via -r requirements.in
+    # via
+    #   -r installer/requirements.in
+    #   clipseg
+clipseg @ https://github.com/invoke-ai/clipseg/archive/1f754751c85d7d4255fa681f4491ff5711c1c288.zip \
+    --hash=sha256:14f43ed42f90be3fe57f06de483cb8be0f67f87a6f62a011339d45a39f4b4189
+    # via -r installer/requirements.in
 colorama==0.4.6 \
     --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
     --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
@@ -273,7 +280,7 @@ decorator==5.1.1 \
 diffusers==0.7.2 \
     --hash=sha256:4a5f8b3a5fbd936bba7d459611cb35ec62875030367be32b232f9e19543e25a9 \
     --hash=sha256:fb814ffd150cc6f470380b8c6a521181a77beb2f44134d2aad2e4cd8aa2ced0e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 dnspython==2.2.1 \
     --hash=sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e \
     --hash=sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f
@@ -293,7 +300,7 @@ entrypoints==0.4 \
 eventlet==0.33.1 \
     --hash=sha256:a085922698e5029f820cf311a648ac324d73cec0e4792877609d978a4b5bbf31 \
     --hash=sha256:afbe17f06a58491e9aebd7a4a03e70b0b63fd4cf76d8307bae07f280479b1515
-    # via -r requirements.in
+    # via -r installer/requirements.in
 facexlib==0.2.5 \
     --hash=sha256:31e20cc4ed5d63562d380e4564bae14ac0d5d1899a079bad87621e13564567e4 \
     --hash=sha256:cc7ceb56c5424319c47223cf75eef6828c34c66082707c6eb35b95d39779f02d
@@ -319,15 +326,15 @@ flask==2.2.2 \
 flask-cors==3.0.10 \
     --hash=sha256:74efc975af1194fc7891ff5cd85b0f7478be4f7f59fe158102e91abb72bb4438 \
     --hash=sha256:b60839393f3b84a0f3746f6cdca56c1ad7426aa738b70d6c61375857823181de
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flask-socketio==5.3.1 \
     --hash=sha256:fd0ed0fc1341671d92d5f5b2f5503916deb7aa7e2940e6636cfa2c087c828bf9 \
     --hash=sha256:ff0c721f20bff1e2cfba77948727a8db48f187e89a72fe50c34478ce6efb3353
-    # via -r requirements.in
+    # via -r installer/requirements.in
 flaskwebgui==0.3.7 \
     --hash=sha256:4a69955308eaa8bb256ba04a994dc8f58a48dcd6f9599694ab1bcd9f43d88a5d \
     --hash=sha256:535974ce2672dcc74787c254de24cceed4101be75d96952dae82014dd57f061e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 fonttools==4.38.0 \
     --hash=sha256:2bb244009f9bf3fa100fc3ead6aeb99febe5985fa20afbfbaa2f8946c2fbdaf1 \
     --hash=sha256:820466f43c8be8c3009aef8b87e785014133508f0de64ec469e4efb643ae54fb
@@ -411,11 +418,11 @@ future==0.18.2 \
 getpass-asterisk==1.0.1 \
     --hash=sha256:20d45cafda0066d761961e0919728526baf7bb5151fbf48a7d5ea4034127d857 \
     --hash=sha256:7cc357a924cf62fa4e15b73cb4e5e30685c9084e464ffdc3fd9000a2b54ea9e9
-    # via -r requirements.in
+    # via -r installer/requirements.in
 gfpgan @ https://github.com/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip \
     --hash=sha256:79e6d71c8f1df7c7ccb0ac6b9a2ccb615ad5cde818c8b6f285a8711c05aebf85
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   realesrgan
 gitdb==4.0.9 \
     --hash=sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd \
@@ -576,7 +583,7 @@ imageio-ffmpeg==0.4.7 \
     --hash=sha256:7a08838f97f363e37ca41821b864fd3fdc99ab1fe2421040c78eb5f56a9e723e \
     --hash=sha256:8e724d12dfe83e2a6eb39619e820243ca96c81c47c2648e66e05f7ee24e14312 \
     --hash=sha256:fc60686ef03c2d0f842901b206223c30051a6a120384458761390104470846fd
-    # via -r requirements.in
+    # via -r installer/requirements.in
 importlib-metadata==5.0.0 \
     --hash=sha256:da31db32b304314d044d3c12c79bd59e307889b287ad12ff387b3500835fc2ab \
     --hash=sha256:ddb0e35065e8938f867ed4928d0ae5bf2a53b7773871bfe6bcc7e4fcdc7dea43
@@ -609,7 +616,7 @@ jsonschema==4.17.0 \
     #   jsonmerge
 k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
     --hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
-    # via -r requirements.in
+    # via -r installer/requirements.in
 kiwisolver==1.4.4 \
     --hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
     --hash=sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166 \
@@ -837,7 +844,9 @@ matplotlib==3.6.2 \
     --hash=sha256:ec9be0f4826cdb3a3a517509dcc5f87f370251b76362051ab59e42b6b765f8c4 \
     --hash=sha256:f04f97797df35e442ed09f529ad1235d1f1c0f30878e2fe09a2676b71a8801e0 \
     --hash=sha256:f41e57ad63d336fe50d3a67bb8eaa26c09f6dda6a59f76777a99b8ccd8e26aec
-    # via filterpy
+    # via
+    #   clipseg
+    #   filterpy
 multidict==6.0.2 \
     --hash=sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60 \
     --hash=sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c \
@@ -970,6 +979,7 @@ numpy==1.23.4 \
     #   altair
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   contourpy
     #   diffusers
     #   facexlib
@@ -1018,6 +1028,7 @@ opencv-python==4.6.0.66 \
     --hash=sha256:f482e78de6e7b0b060ff994ffd859bddc3f7f382bb2019ef157b0ea8ca8712f5
     # via
     #   basicsr
+    #   clipseg
     #   facexlib
     #   gfpgan
     #   realesrgan
@@ -1288,7 +1299,7 @@ pyparsing==3.0.9 \
 pyreadline3==3.4.1 \
     --hash=sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae \
     --hash=sha256:b0efb6516fd4fb07b45949053826a62fa4cb353db5be2bbb4a7aa1fdd1e345fb
-    # via -r requirements.in
+    # via -r installer/requirements.in
 pyrsistent==0.19.2 \
     --hash=sha256:055ab45d5911d7cae397dc418808d8802fb95262751872c841c170b0dbf51eed \
     --hash=sha256:111156137b2e71f3a9936baf27cb322e8024dac3dc54ec7fb9f0bcf3249e68bb \
@@ -1425,7 +1436,7 @@ qudida==0.0.4 \
 realesrgan==0.3.0 \
     --hash=sha256:0d36da96ab9f447071606e91f502ccdfb08f80cc82ee4f8caf720c7745ccec7e \
     --hash=sha256:59336c16c30dd5130eff350dd27424acb9b7281d18a6810130e265606c9a6088
-    # via -r requirements.in
+    # via -r installer/requirements.in
 regex==2022.10.31 \
     --hash=sha256:052b670fafbe30966bbe5d025e90b2a491f85dfe5b2583a163b5e60a85a321ad \
     --hash=sha256:0653d012b3bf45f194e5e6a41df9258811ac8fc395579fa82958a8b76286bea4 \
@@ -1631,6 +1642,7 @@ scipy==1.9.3 \
     #   albumentations
     #   basicsr
     #   clean-fid
+    #   clipseg
     #   facexlib
     #   filterpy
     #   gfpgan
@@ -1646,7 +1658,7 @@ semver==2.13.0 \
 send2trash==1.8.0 \
     --hash=sha256:d2c24762fd3759860a0aff155e45871447ea58d2be6bdd39b5c8f966a0c99c2d \
     --hash=sha256:f20eaadfdb517eaca5ce077640cb261c7d2698385a6a0f072a4a5447fd49fa08
-    # via -r requirements.in
+    # via -r installer/requirements.in
 sentry-sdk==1.10.1 \
     --hash=sha256:06c0fa9ccfdc80d7e3b5d2021978d6eb9351fa49db9b5847cf4d1f2a473414ad \
     --hash=sha256:105faf7bd7b7fa25653404619ee261527266b14103fe1389e0ce077bd23a9691
@@ -1737,11 +1749,11 @@ smmap==5.0.0 \
 streamlit==1.14.0 \
     --hash=sha256:62556d873567e1b3427bcd118a57ee6946619f363bd6bba38df2d1f8225ecba0 \
     --hash=sha256:e078b8143d150ba721bdb9194218e311c5fe1d6d4156473a2dea6cc848a6c9fc
-    # via -r requirements.in
+    # via -r installer/requirements.in
 taming-transformers-rom1504==0.0.6 \
     --hash=sha256:051b5804c58caa247bcd51d17ddb525b4d5f892a29d42dc460f40e3e9e34e5d8 \
     --hash=sha256:73fe5fc1108accee4236ee6976e0987ab236afad0af06cb9f037641a908d2c32
-    # via -r requirements.in
+    # via -r installer/requirements.in
 tb-nightly==2.11.0a20221106 \
     --hash=sha256:8940457ee42db92f01da8bcdbbea1a476735eda559dde5976f5728919960af4a
     # via
@@ -1766,7 +1778,7 @@ tensorboard-plugin-wit==1.8.1 \
     #   tensorboard
 test-tube==0.7.5 \
     --hash=sha256:1379c33eb8cde3e9b36610f87da0f16c2e06496b1cfebac473df4e7be2faa124
-    # via -r requirements.in
+    # via -r installer/requirements.in
 threadpoolctl==3.1.0 \
     --hash=sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b \
     --hash=sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380
@@ -1816,7 +1828,7 @@ toolz==0.12.0 \
     --hash=sha256:2059bd4148deb1884bb0eb770a3cde70e7f954cfbbdc2285f1f2de01fd21eb6f \
     --hash=sha256:88c570861c440ee3f2f6037c4654613228ff40c93a6c25e0eba70d17282c6194
     # via altair
-torch==1.12.1+cu116 \
+torch==1.12.1+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
     --hash=sha256:7725420dabebfcaf44984edce3283eea91f98f0f7d5874bc68c7a164bd8126e3 \
     --hash=sha256:832effad8b21109700323a5aa137a2e4bdea711dac3d8491ff542f798dab0101 \
     --hash=sha256:84f031e4ee25d95368d7531aa58e79da9808d3fa53b4b363ea03a2450b6fd0af \
@@ -1826,6 +1838,7 @@ torch==1.12.1+cu116 \
     --hash=sha256:dda312901220895087cc83d3665464a3dc171d04460c61c31af463efbfb54896 \
     --hash=sha256:fc9b4786ec54be67eaa8b0c7c9999e2f4ae2b89a1c18e41de1515a190440c691
     # via
+    #   -r installer/requirements.in
     #   accelerate
     #   basicsr
     #   clean-fid
@@ -1845,7 +1858,7 @@ torch==1.12.1+cu116 \
 torch-fidelity==0.3.0 \
     --hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
     --hash=sha256:d01284825595feb7dc3eae3dc9a0d8ced02be764813a3483f109bc142b52a1d3
-    # via -r requirements.in
+    # via -r installer/requirements.in
 torchdiffeq==0.2.3 \
     --hash=sha256:b5b01ec1294a2d8d5f77e567bf17c5de1237c0573cb94deefa88326f0e18c338 \
     --hash=sha256:fe75f434b9090ac0c27702e02bed21472b0f87035be6581f51edc5d4013ea31a
@@ -1864,7 +1877,7 @@ torchvision==0.13.1+cu116 ; platform_system == "Linux" or platform_system == "Wi
     --hash=sha256:c3ceb2b3f456f0c984af71ef55f8637f178a29dc3e13a66fbb010ceead2891e1 \
     --hash=sha256:dcf32f6d998493e76ec21a38bbb856b7402295cf7a67fb09ce5bde7e7e725756
     # via
-    #   -r requirements.in
+    #   -r installer/requirements.in
     #   basicsr
     #   clean-fid
     #   clip
@@ -1906,7 +1919,7 @@ tqdm==4.64.1 \
 transformers==4.24.0 \
     --hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
     --hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
-    # via -r requirements.in
+    # via -r installer/requirements.in
 typing-extensions==4.4.0 \
     --hash=sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa \
     --hash=sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e
diff --git a/installer/requirements.in b/installer/requirements.in
index ff84af7a58..81bf4ccd38 100644
--- a/installer/requirements.in
+++ b/installer/requirements.in
@@ -1,6 +1,7 @@
 --prefer-binary
 --extra-index-url https://download.pytorch.org/whl/cu116
 --trusted-host https://download.pytorch.org
+accelerate~=0.14
 albumentations
 diffusers
 eventlet
@@ -16,10 +17,13 @@ streamlit
 taming-transformers-rom1504
 test-tube
 torch-fidelity
+torch==1.12.1 ; platform_system == 'Darwin'
+torch==1.12.1+cu116 ; platform_system == 'Linux' or platform_system == 'Windows'
 torchvision==0.13.1 ; platform_system == 'Darwin'
 torchvision==0.13.1+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/TencentARC/GFPGAN/archive/2eac2033893ca7f427f4035d80fe95b92649ac56.zip
 https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip
diff --git a/ldm/invoke/args.py b/ldm/invoke/args.py
index abc2dd2949..497ddda76b 100644
--- a/ldm/invoke/args.py
+++ b/ldm/invoke/args.py
@@ -174,7 +174,8 @@ class Args(object):
                 print(f'>> Initialization file {initfile} found. Loading...')
                 sysargs.insert(0,f'@{initfile}')
             else:
-                print(f'>> Initialization file {initfile} not found. Applying default settings...')
+                print(f'>> Initialization file {INITFILE} not found. Creating a new one...')
+                self._create_init_file(INITFILE)
             self._arg_switches = self._arg_parser.parse_args(sysargs)
             return self._arg_switches
         except Exception as e:
@@ -366,6 +367,17 @@ class Args(object):
             new_dict[k] = value2 if value2 is not None else value1
         return new_dict
 
+    def _create_init_file(self,initfile:str):
+        with open(initfile, mode='w', encoding='utf-8') as f:
+            f.write('''# InvokeAI initialization file
+# Put frequently-used startup commands here, one or more per line
+# Examples:
+# --web --host=0.0.0.0
+# --steps 20
+# -Ak_euler_a -C10.0
+'''
+            )
+
     def _create_arg_parser(self):
         '''
         This defines all the arguments used on the command line when you launch
diff --git a/notebooks/Stable-Diffusion-local-Windows.ipynb b/notebooks/Stable-Diffusion-local-Windows.ipynb
deleted file mode 100644
index 8f7dae18fe..0000000000
--- a/notebooks/Stable-Diffusion-local-Windows.ipynb
+++ /dev/null
@@ -1,222 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Easy-peasy Windows install"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note that you will need NVIDIA drivers, Python 3.10, and Git installed\n",
-    "beforehand - simplified\n",
-    "[step-by-step instructions](https://github.com/invoke-ai/InvokeAI/wiki/Easy-peasy-Windows-install)\n",
-    "are available in the wiki (you'll only need steps 1, 2, & 3 )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Run each cell in turn. In VSCode, either hit SHIFT-ENTER, or click on the little ▶️ to the left of the cell. In Jupyter/JupyterLab, you **must** hit SHIFT-ENTER"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%pip install pew"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%cmd\n",
-    "git clone https://github.com/invoke-ai/InvokeAI.git\n",
-    "cd /content/InvokeAI/\n",
-    "git checkout --quiet development"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%cmd\n",
-    "pew new --python 3.10 -r requirements-lin-win-colab-CUDA.txt --dont-activate invokeai"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Switch the notebook kernel to the new 'invokeai' environment!\n",
-    "\n",
-    "## VSCode: restart VSCode and come back to this cell\n",
-    "\n",
-    "1. Ctrl+Shift+P\n",
-    "1. Type \"Select Interpreter\" and select \"Jupyter: Select Interpreter to Start Jupyter Server\"\n",
-    "1. VSCode will say that it needs to install packages. Click the \"Install\" button.\n",
-    "1. Once the install is finished, do 1 & 2 again\n",
-    "1. Pick 'invokeai'\n",
-    "1. Run the following cell"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%cd InvokeAI"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "## Jupyter/JupyterLab\n",
-    "\n",
-    "1. Run the cell below\n",
-    "1. Click on the toolbar where it says \"(ipyknel)\" ↗️. You should get a pop-up asking you to \"Select Kernel\". Pick 'invokeai' from the drop-down.\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### DO NOT RUN THE FOLLOWING CELL IF YOU ARE USING VSCODE!!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# DO NOT RUN THIS CELL IF YOU ARE USING VSCODE!!\n",
-    "%%cmd\n",
-    "pew workon invokeai\n",
-    "pip3 install ipykernel\n",
-    "python -m ipykernel install --name=invokeai"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### When running the next cell, Jupyter/JupyterLab users might get a warning saying \"IProgress not found\". This can be ignored."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%run \"scripts/preload_models.py\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%%cmd\n",
-    "mkdir \"models/ldm/stable-diffusion-v1\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Now copy the SD model you downloaded from Hugging Face into the above new directory, and (if necessary) rename it to 'model.ckpt'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Now go create some magic!\n",
-    "\n",
-    "VSCode\n",
-    "\n",
-    "- The actual input box for the 'dream' prompt will appear at the very top of the VSCode window. Type in your commands and hit 'ENTER'.\n",
-    "- To quit, hit the 'Interrupt' button in the toolbar up there ⬆️ a couple of times, then hit ENTER (you'll probably see a terrifying traceback from Python - just ignore it).\n",
-    "\n",
-    "Jupyter/JupyterLab\n",
-    "\n",
-    "- The input box for the 'dream' prompt will appear below. Type in your commands and hit 'ENTER'.\n",
-    "- To quit, hit the interrupt button (⏹️) in the toolbar up there ⬆️ a couple of times, then hit ENTER (you'll probably see a terrifying traceback from Python - just ignore it)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%run \"scripts/dream.py\""
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Once this seems to be working well, you can try opening a terminal\n",
-    "\n",
-    "- VSCode: type ('CTRL+`')\n",
-    "- Jupyter/JupyterLab: File|New Terminal\n",
-    "- Or jump out of the notebook entirely, and open Powershell/Command Prompt\n",
-    "\n",
-    "Now:\n",
-    "\n",
-    "1. `cd` to wherever the 'InvokeAI' directory is\n",
-    "1. Run `pew workon invokeai`\n",
-    "1. Run `winpty python scripts\\dream.py`"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3.10.6 64-bit",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.6"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "5e164cef426134bf171f386fbddecb52046b6c1479f922ab8dfdd30df05e0e80"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/notebooks/Stable_Diffusion_AI_Notebook.ipynb b/notebooks/Stable_Diffusion_AI_Notebook.ipynb
index b8755ff32e..ef57b4a50d 100644
--- a/notebooks/Stable_Diffusion_AI_Notebook.ipynb
+++ b/notebooks/Stable_Diffusion_AI_Notebook.ipynb
@@ -74,8 +74,8 @@
         "#@title 3. Install dependencies\n",
         "import gc\n",
         "\n",
-        "!wget https://raw.githubusercontent.com/invoke-ai/InvokeAI/development/requirements.txt\n",
-        "!wget https://raw.githubusercontent.com/invoke-ai/InvokeAI/development/requirements-lin-win-colab-CUDA.txt\n",
+        "!wget https://raw.githubusercontent.com/invoke-ai/InvokeAI/development/environments-and-requirements/requirements.txt\n",
+        "!wget https://raw.githubusercontent.com/invoke-ai/InvokeAI/development/environments-and-requirements/requirements-lin-win-colab-CUDA.txt\n",
         "!pip install colab-xterm\n",
         "!pip install -r requirements-lin-win-colab-CUDA.txt\n",
         "!pip install clean-fid torchtext\n",
@@ -262,11 +262,18 @@
     },
     "gpuClass": "standard",
     "kernelspec": {
-      "display_name": "Python 3",
+      "display_name": "Python 3.10.4 64-bit",
+      "language": "python",
       "name": "python3"
     },
     "language_info": {
-      "name": "python"
+      "name": "python",
+      "version": "3.10.4"
+    },
+    "vscode": {
+      "interpreter": {
+        "hash": "3ad933181bd8a04b432d3370b9dc3b0662ad032c4dfaa4e4f1596c548f763858"
+      }
     }
   },
   "nbformat": 4,
diff --git a/setup.py b/setup.py
index 1021de237f..02ffffeab1 100644
--- a/setup.py
+++ b/setup.py
@@ -11,16 +11,66 @@ def frontend_files(directory):
 frontend_files = frontend_files('frontend/dist')
 print(f'DEBUG: {frontend_files}')
 
+VERSION = '2.1.4'
+DESCRIPTION = ('An implementation of Stable Diffusion which provides various new features'
+               ' and options to aid the image generation process')
+LONG_DESCRIPTION = ('This version of Stable Diffusion features a slick WebGUI, an'
+                     ' interactive command-line script that combines text2img and img2img'
+                     ' functionality in a "dream bot" style interface, and multiple features'
+                     ' and other enhancements.')
+HOMEPAGE = 'https://github.com/invoke-ai/InvokeAI'
 
 setup(
     name='invoke-ai',
-    version='2.1.4',
-    description='InvokeAI: A Stable Diffusion text to image generation toolkit',
-    packages=find_packages(),
+    version=VERSION,
+    description=DESCRIPTION,
+    long_description=LONG_DESCRIPTION,
+    author='The InvokeAI Project',
+    author_email='lincoln.stein@gmail.com',
+    url=HOMEPAGE,
+    license='MIT',
+    packages=find_packages(exclude=['tests.*']),
     install_requires=[
-        'torch',
-        'numpy',
-        'tqdm',
+        'accelerate',
+        'albumentations',
+        'diffusers',
+        'eventlet',
+        'flask_cors',
+        'flask_socketio',
+        'flaskwebgui',
+        'getpass_asterisk',
+        'imageio-ffmpeg',
+        'pyreadline3',
+        'realesrgan',
+        'send2trash',
+        'streamlit',
+        'taming-transformers-rom1504',
+        'test-tube',
+        'torch-fidelity',
+        'transformers'
+    ],
+    python_requires='>=3.8, <4',
+    classifiers=[
+        'Development Status :: 4 - Beta',
+        'Environment :: GPU',
+        'Environment :: GPU :: NVIDIA CUDA',
+        'Environment :: MacOS X',
+        'Intended Audience :: End Users/Desktop',
+        'Intended Audience :: Developers',
+        'License :: OSI Approved :: MIT License',
+        'Operating System :: POSIX :: Linux',
+        'Operating System :: MacOS',
+        'Operating System :: Microsoft :: Windows',
+        'Programming Language :: Python :: 3 :: Only,'
+        'Programming Language :: Python :: 3.8',
+        'Programming Language :: Python :: 3.9',
+        'Programming Language :: Python :: 3.10',
+        'Topic :: Artistic Software',
+        'Topic :: Internet :: WWW/HTTP :: WSGI :: Application',
+        'Topic :: Internet :: WWW/HTTP :: WSGI :: Server',
+        'Topic :: Multimedia :: Graphics',
+        'Topic :: Scientific/Engineering :: Artificial Intelligence',
+        'Topic :: Scientific/Engineering :: Image Processing',
     ],
     scripts = ['scripts/invoke.py','scripts/load_models.py','scripts/sd-metadata.py'],
     data_files=[('frontend',frontend_files)],
diff --git a/source_installer/install.sh b/source_installer/install.sh
index 747d701611..d626169800 100755
--- a/source_installer/install.sh
+++ b/source_installer/install.sh
@@ -95,7 +95,7 @@ source "$CONDA_BASEPATH/etc/profile.d/conda.sh" # otherwise conda complains abou
 
 conda activate
 if [ "$OS_NAME" == "mac" ]; then
-    echo "Macintosh system detected. Installing MPS and CPU support."
+    echo "macOS detected. Installing MPS and CPU support."
     ln -sf environments-and-requirements/environment-mac.yml environment.yml
 else
     if (lsmod | grep amdgpu) &>/dev/null ; then