mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Merge remote-tracking branch 'origin/main' into dev/diffusers
# Conflicts: # scripts/configure_invokeai.py
This commit is contained in:
Kevin Turner
commit
9d7fe45702
@ -9,20 +9,21 @@ read -p "Press any key to continue, or CTRL-C to exit..."
|
||||
# make the installer zip for linux and mac
|
||||
rm -rf InvokeAI
|
||||
mkdir -p InvokeAI
|
||||
cp install.sh InvokeAI
|
||||
cp install.sh.in InvokeAI/install.sh
|
||||
chmod a+x InvokeAI/install.sh
|
||||
cp readme.txt InvokeAI
|
||||
|
||||
zip -r InvokeAI-linux.zip InvokeAI
|
||||
zip -r InvokeAI-mac.zip InvokeAI
|
||||
zip -r InvokeAI-binary-linux.zip InvokeAI
|
||||
zip -r InvokeAI-binary-mac.zip InvokeAI
|
||||
|
||||
# make the installer zip for windows
|
||||
rm -rf InvokeAI
|
||||
mkdir -p InvokeAI
|
||||
cp install.bat InvokeAI
|
||||
cp install.bat.in InvokeAI/install.bat
|
||||
cp readme.txt InvokeAI
|
||||
cp WinLongPathsEnabled.reg InvokeAI
|
||||
|
||||
zip -r InvokeAI-windows.zip InvokeAI
|
||||
zip -r InvokeAI-binary-windows.zip InvokeAI
|
||||
|
||||
rm -rf InvokeAI
|
||||
|
||||
@ -22,9 +22,7 @@ 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
|
||||
# RELEASE_SOURCEBALL=/archive/refs/heads/test-installer.tar.gz
|
||||
RELEASE_SOURCEBALL=/archive/refs/heads/development.tar.gz
|
||||
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
|
||||
|
||||
@ -127,7 +125,7 @@ if %errorlevel% neq 0 goto err_exit
|
||||
echo ***** Updated pip and wheel *****
|
||||
|
||||
set err_msg=----- requirements file copy failed -----
|
||||
copy installer\py3.10-windows-x86_64-cuda-reqs.txt requirements.txt
|
||||
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 -----
|
||||
@ -140,11 +138,11 @@ 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 installer\invoke.bat .\invoke.bat
|
||||
copy binary_installer\invoke.bat.in .\invoke.bat
|
||||
echo ***** Installed invoke launcher script ******
|
||||
|
||||
@rem more cleanup
|
||||
rd /s /q installer installer_files
|
||||
rd /s /q binary_installer installer_files
|
||||
|
||||
@rem preload the models
|
||||
call .venv\Scripts\python scripts\configure_invokeai.py
|
||||
@ -1,5 +1,9 @@
|
||||
#!/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'
|
||||
|
||||
@ -22,6 +26,8 @@ function _err_exit {
|
||||
|
||||
# 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
|
||||
@ -29,10 +35,6 @@ if [ $# -ge 1 ]; then
|
||||
fi
|
||||
fi
|
||||
|
||||
echo "$no_cache_dir"
|
||||
|
||||
echo -e "\n***** Installing InvokeAI... *****\n"
|
||||
|
||||
|
||||
OS_NAME=$(uname -s)
|
||||
case "${OS_NAME}" in
|
||||
@ -80,19 +82,17 @@ if [ "$OS_NAME" == "darwin" ] && [ "$OS_ARCH" == "arm64" ]; then
|
||||
fi
|
||||
|
||||
# config
|
||||
echo "USING development BRANCH. REMEMBER TO CHANGE TO main BEFORE RELEASE"
|
||||
INSTALL_ENV_DIR="$(pwd)/installer_files/env"
|
||||
MICROMAMBA_DOWNLOAD_URL="https://micro.mamba.pm/api/micromamba/${MAMBA_OS_NAME}-${MAMBA_ARCH}/latest"
|
||||
RELEASE_URL=https://github.com/invoke-ai/InvokeAI
|
||||
# RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
|
||||
# RELEASE_SOURCEBALL=/archive/refs/heads/test-installer.tar.gz
|
||||
RELEASE_SOURCEBALL=/archive/refs/heads/development.tar.gz
|
||||
RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
|
||||
PYTHON_BUILD_STANDALONE_URL=https://github.com/indygreg/python-build-standalone/releases/download
|
||||
if [ "$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=""
|
||||
|
||||
@ -192,32 +192,33 @@ echo -e "We're running under"
|
||||
_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 wheel
|
||||
.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location --upgrade pip
|
||||
_err_exit $? _err_msg
|
||||
|
||||
echo -e "\n***** Updated pip and wheel *****\n"
|
||||
echo -e "\n***** Updated pip *****\n"
|
||||
|
||||
_err_msg="\n----- requirements file copy failed -----\n"
|
||||
cp installer/py3.10-${OS_NAME}-"${OS_ARCH}"-${CD}-reqs.txt requirements.txt
|
||||
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
|
||||
.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 .
|
||||
.venv/bin/python3 -m pip install $no_cache_dir --no-warn-script-location -e .
|
||||
_err_exit $? _err_msg
|
||||
|
||||
echo -e "\n***** Installed InvokeAI *****\n"
|
||||
|
||||
cp installer/invoke.sh .
|
||||
cp binary_installer/invoke.sh.in ./invoke.sh
|
||||
chmod a+x ./invoke.sh
|
||||
echo -e "\n***** Installed invoke launcher script ******\n"
|
||||
|
||||
# more cleanup
|
||||
rm -rf installer/ installer_files/
|
||||
rm -rf binary_installer/ installer_files/
|
||||
|
||||
# preload the models
|
||||
.venv/bin/python3 scripts/configure_invokeai.py
|
||||
@ -227,6 +228,8 @@ deactivate
|
||||
|
||||
echo -e "\n***** Finished downloading models *****\n"
|
||||
|
||||
echo "All done! Run the command './invoke.sh' to start InvokeAI."
|
||||
echo "All done! Run the command"
|
||||
echo " \"$scriptdir/invoke.sh\""
|
||||
echo "to start InvokeAI."
|
||||
read -p "Press any key to exit..."
|
||||
exit
|
||||
0
installer/invoke.sh → binary_installer/invoke.sh.in
Executable file → Normal file
0
installer/invoke.sh → binary_installer/invoke.sh.in
Executable file → Normal file
@ -4,7 +4,7 @@
|
||||
#
|
||||
# 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
|
||||
--extra-index-url https://download.pytorch.org/whl/torch_stable.html
|
||||
--trusted-host https
|
||||
|
||||
absl-py==1.3.0 \
|
||||
@ -4,6 +4,7 @@
|
||||
#
|
||||
# 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/torch_stable.html
|
||||
--extra-index-url https://download.pytorch.org/whl/cu116
|
||||
--trusted-host https
|
||||
|
||||
@ -150,6 +151,10 @@ blinker==1.5 \
|
||||
--hash=sha256:1eb563df6fdbc39eeddc177d953203f99f097e9bf0e2b8f9f3cf18b6ca425e36 \
|
||||
--hash=sha256:923e5e2f69c155f2cc42dafbbd70e16e3fde24d2d4aa2ab72fbe386238892462
|
||||
# via streamlit
|
||||
boltons==21.0.0 \
|
||||
--hash=sha256:65e70a79a731a7fe6e98592ecfb5ccf2115873d01dbc576079874629e5c90f13 \
|
||||
--hash=sha256:b9bb7b58b2b420bbe11a6025fdef6d3e5edc9f76a42fb467afe7ca212ef9948b
|
||||
# via torchsde
|
||||
cachetools==5.2.0 \
|
||||
--hash=sha256:6a94c6402995a99c3970cc7e4884bb60b4a8639938157eeed436098bf9831757 \
|
||||
--hash=sha256:f9f17d2aec496a9aa6b76f53e3b614c965223c061982d434d160f930c698a9db
|
||||
@ -614,8 +619,8 @@ jsonschema==4.17.0 \
|
||||
# via
|
||||
# altair
|
||||
# jsonmerge
|
||||
k-diffusion @ https://github.com/invoke-ai/k-diffusion/archive/7f16b2c33411f26b3eae78d10648d625cb0c1095.zip \
|
||||
--hash=sha256:c3f2c84036aa98c3abf4552fafab04df5ca472aa639982795e05bb1db43ce5e4
|
||||
k-diffusion @ https://github.com/Birch-san/k-diffusion/archive/363386981fee88620709cf8f6f2eea167bd6cd74.zip \
|
||||
--hash=sha256:8eac5cdc08736e6d61908a1b2948f2b2f62691b01dc1aab978bddb3451af0d66
|
||||
# via -r installer/requirements.in
|
||||
kiwisolver==1.4.4 \
|
||||
--hash=sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b \
|
||||
@ -1009,6 +1014,7 @@ numpy==1.23.4 \
|
||||
# tifffile
|
||||
# torch-fidelity
|
||||
# torchmetrics
|
||||
# torchsde
|
||||
# torchvision
|
||||
# transformers
|
||||
oauthlib==3.2.2 \
|
||||
@ -1660,6 +1666,7 @@ scipy==1.9.3 \
|
||||
# scikit-learn
|
||||
# torch-fidelity
|
||||
# torchdiffeq
|
||||
# torchsde
|
||||
semver==2.13.0 \
|
||||
--hash=sha256:ced8b23dceb22134307c1b8abfa523da14198793d9787ac838e70e29e77458d4 \
|
||||
--hash=sha256:fa0fe2722ee1c3f57eac478820c3a5ae2f624af8264cbdf9000c980ff7f75e3f
|
||||
@ -1863,6 +1870,7 @@ torch==1.12.0+cu116 ; platform_system == "Linux" or platform_system == "Windows"
|
||||
# torch-fidelity
|
||||
# torchdiffeq
|
||||
# torchmetrics
|
||||
# torchsde
|
||||
# torchvision
|
||||
torch-fidelity==0.3.0 \
|
||||
--hash=sha256:3d3e33db98919759cc4f3f24cb27e1e74bdc7c905d90a780630e4e1c18492b66 \
|
||||
@ -1876,6 +1884,10 @@ torchmetrics==0.10.2 \
|
||||
--hash=sha256:43757d82266969906fc74b6e80766fcb2a0d52d6c3d09e3b7c98cf3b733fd20c \
|
||||
--hash=sha256:daa29d96bff5cff04d80eec5b9f5076993d6ac9c2d2163e88b6b31f8d38f7c25
|
||||
# via pytorch-lightning
|
||||
torchsde==0.2.5 \
|
||||
--hash=sha256:222be9e15610d37a4b5a71cfa0c442178f9fd9ca02f6522a3e11c370b3d0906b \
|
||||
--hash=sha256:4c34373a94a357bdf60bbfee00c850f3563d634491555820b900c9a4f7eff300
|
||||
# via k-diffusion
|
||||
torchvision==0.13.0+cu116 ; platform_system == "Linux" or platform_system == "Windows" \
|
||||
--hash=sha256:1696feadf1921c8fa1549bad774221293298288ebedaa14e44bc3e57e964a369 \
|
||||
--hash=sha256:572544b108eaf12638f3dca0f496a453c4b8d8256bcc8333d5355df641c0380c \
|
||||
@ -1925,6 +1937,9 @@ tqdm==4.64.1 \
|
||||
# taming-transformers-rom1504
|
||||
# torch-fidelity
|
||||
# transformers
|
||||
trampoline==0.1.2 \
|
||||
--hash=sha256:36cc9a4ff9811843d177fc0e0740efbd7da39eadfe6e50c9e2937cbc06d899d9
|
||||
# via torchsde
|
||||
transformers==4.24.0 \
|
||||
--hash=sha256:486f353a8e594002e48be0e2aba723d96eda839e63bfe274702a4b5eda85559b \
|
||||
--hash=sha256:b7ab50039ef9bf817eff14ab974f306fd20a72350bdc9df3a858fd009419322e
|
||||
@ -171,12 +171,12 @@ title: Changelog
|
||||
- Integrate sd-v1-5 model into test matrix (easily expandable), remove
|
||||
unecesarry caches by @mauwii in
|
||||
https://github.com/invoke-ai/InvokeAI/pull/1293
|
||||
- add --no-interactive to preload_models step by @mauwii in
|
||||
- add --no-interactive to configure_invokeai step by @mauwii in
|
||||
https://github.com/invoke-ai/InvokeAI/pull/1302
|
||||
- 1-click installer and updater. Uses micromamba to install git and conda into a
|
||||
contained environment (if necessary) before running the normal installation
|
||||
script by @cmdr2 in https://github.com/invoke-ai/InvokeAI/pull/1253
|
||||
- preload_models.py script downloads the weight files by @lstein in
|
||||
- configure_invokeai.py script downloads the weight files by @lstein in
|
||||
https://github.com/invoke-ai/InvokeAI/pull/1290
|
||||
|
||||
## v2.0.1 <small>(13 October 2022)</small>
|
||||
|
||||
@ -120,7 +120,7 @@ A number of caveats:
|
||||
(`--iterations`) argument.
|
||||
|
||||
3. Your results will be _much_ better if you use the `inpaint-1.5` model
|
||||
released by runwayML and installed by default by `scripts/preload_models.py`.
|
||||
released by runwayML and installed by default by `scripts/configure_invokeai.py`.
|
||||
This model was trained specifically to harmoniously fill in image gaps. The
|
||||
standard model will work as well, but you may notice color discontinuities at
|
||||
the border.
|
||||
|
||||
@ -28,11 +28,11 @@ should "just work" without further intervention. Simply pass the `--upscale`
|
||||
the popup in the Web GUI.
|
||||
|
||||
**GFPGAN** requires a series of downloadable model files to work. These are
|
||||
loaded when you run `scripts/preload_models.py`. If GFPAN is failing with an
|
||||
loaded when you run `scripts/configure_invokeai.py`. If GFPAN is failing with an
|
||||
error, please run the following from the InvokeAI directory:
|
||||
|
||||
```bash
|
||||
python scripts/preload_models.py
|
||||
python scripts/configure_invokeai.py
|
||||
```
|
||||
|
||||
If you do not run this script in advance, the GFPGAN module will attempt to
|
||||
@ -110,7 +110,7 @@ This repo also allows you to perform face restoration using
|
||||
[CodeFormer](https://github.com/sczhou/CodeFormer).
|
||||
|
||||
In order to setup CodeFormer to work, you need to download the models like with
|
||||
GFPGAN. You can do this either by running `preload_models.py` or by manually
|
||||
GFPGAN. You can do this either by running `configure_invokeai.py` or by manually
|
||||
downloading the
|
||||
[model file](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth)
|
||||
and saving it to `ldm/invoke/restoration/codeformer/weights` folder.
|
||||
|
||||
@ -86,6 +86,10 @@ AMD card (using the ROCm driver). For full installation and upgrade
|
||||
instructions, please see:
|
||||
[InvokeAI Installation Overview](https://invoke-ai.github.io/InvokeAI/installation/)
|
||||
|
||||
Linux users who wish to make use of the PyPatchMatch inpainting
|
||||
functions will need to perform a bit of extra work to enable this
|
||||
module. Instructions can be found at [Installing PyPatchMatch](installation/INSTALL_PATCHMATCH.md).
|
||||
|
||||
## :fontawesome-solid-computer: Hardware Requirements
|
||||
|
||||
### :octicons-cpu-24: System
|
||||
@ -123,7 +127,8 @@ You wil need one of the following:
|
||||
|
||||
- [The InvokeAI Web Interface](features/WEB.md)
|
||||
- [WebGUI hotkey reference guide](features/WEBUIHOTKEYS.md)
|
||||
<!-- this link does not exist - [WebGUI Unified Canvas for Img2Img, inpainting and outpainting](features/UNIFIED_CANVAS.md) -->
|
||||
- [WebGUI Unified Canvas for Img2Img, inpainting and outpainting](features/UNIFIED_CANVAS.md)
|
||||
<!-- seperator -->
|
||||
- [The Command Line Interace](features/CLI.md)
|
||||
- [Image2Image](features/IMG2IMG.md)
|
||||
- [Inpainting](features/INPAINTING.md)
|
||||
@ -136,6 +141,7 @@ You wil need one of the following:
|
||||
- [Prompt Engineering](features/PROMPTS.md)
|
||||
<!-- seperator -->
|
||||
- Miscellaneous
|
||||
- [NSFW Checker](features/NSFW.md)
|
||||
- [Embiggen upscaling](features/EMBIGGEN.md)
|
||||
- [Other](features/OTHER.md)
|
||||
|
||||
@ -160,7 +166,7 @@ You wil need one of the following:
|
||||
- You can now load
|
||||
[multiple models and switch among them quickly](https://docs.google.com/presentation/d/1WywGA1rny7bpFh7CLSdTr4nNpVKdlUeT0Bj0jCsILyU/edit?usp=sharing)
|
||||
without leaving the CLI.
|
||||
- The installation process (via `scripts/preload_models.py`) now lets you select
|
||||
- The installation process (via `scripts/configure_invokeai.py`) now lets you select
|
||||
among several popular
|
||||
[Stable Diffusion models](https://invoke-ai.github.io/InvokeAI/installation/INSTALLING_MODELS/)
|
||||
and downloads and installs them on your behalf. Among other models, this
|
||||
|
||||
85
docs/installation/BUILDING_BINARY_INSTALLERS.md
Normal file
85
docs/installation/BUILDING_BINARY_INSTALLERS.md
Normal file
@ -0,0 +1,85 @@
|
||||
# How to build "binary" installers (InvokeAI-mac/windows/linux_on_*.zip)
|
||||
|
||||
## 1. Ensure `installers/requirements.in` is correct
|
||||
|
||||
and up to date on the branch to be installed.
|
||||
|
||||
## <a name="step-2"></a> 2. Run `pip-compile` on each platform.
|
||||
|
||||
On each target platform, in the branch that is to be installed, and
|
||||
inside the InvokeAI git root folder, run the following commands:
|
||||
|
||||
```commandline
|
||||
conda activate invokeai # or however you activate python
|
||||
pip install pip-tools
|
||||
pip-compile --allow-unsafe --generate-hashes --output-file=binary_installer/<reqsfile>.txt binary_installer/requirements.in
|
||||
```
|
||||
where `<reqsfile>.txt` is whichever of
|
||||
```commandline
|
||||
py3.10-darwin-arm64-mps-reqs.txt
|
||||
py3.10-darwin-x86_64-reqs.txt
|
||||
py3.10-linux-x86_64-cuda-reqs.txt
|
||||
py3.10-windows-x86_64-cuda-reqs.txt
|
||||
```
|
||||
matches the current OS and architecture.
|
||||
> There is no way to cross-compile these. They must be done on a system matching the target OS and arch.
|
||||
|
||||
## <a name="step-3"></a> 3. Set github repository and branch
|
||||
|
||||
Once all reqs files have been collected and committed **to the branch
|
||||
to be installed**, edit `binary_installer/install.sh.in` and `binary_installer/install.bat.in` so that `RELEASE_URL`
|
||||
and `RELEASE_SOURCEBALL` point to the github repo and branch that is
|
||||
to be installed.
|
||||
|
||||
For example, to install `main` branch of `InvokeAI`, they should be
|
||||
set as follows:
|
||||
|
||||
`install.sh.in`:
|
||||
```commandline
|
||||
RELEASE_URL=https://github.com/invoke-ai/InvokeAI
|
||||
RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
|
||||
```
|
||||
|
||||
`install.bat.in`:
|
||||
```commandline
|
||||
set RELEASE_URL=https://github.com/invoke-ai/InvokeAI
|
||||
set RELEASE_SOURCEBALL=/archive/refs/heads/main.tar.gz
|
||||
```
|
||||
|
||||
Or, to install `damians-cool-feature` branch of `damian0815`, set them
|
||||
as follows:
|
||||
|
||||
`install.sh.in`:
|
||||
```commandline
|
||||
RELEASE_URL=https://github.com/damian0815/InvokeAI
|
||||
RELEASE_SOURCEBALL=/archive/refs/heads/damians-cool-feature.tar.gz
|
||||
```
|
||||
|
||||
`install.bat.in`:
|
||||
```commandline
|
||||
set RELEASE_URL=https://github.com/damian0815/InvokeAI
|
||||
set RELEASE_SOURCEBALL=/archive/refs/heads/damians-cool-feature.tar.gz
|
||||
```
|
||||
|
||||
The branch and repo specified here **must** contain the correct reqs
|
||||
files. The installer zip files **do not** contain requirements files,
|
||||
they are pulled from the specified branch during the installation
|
||||
process.
|
||||
|
||||
## 4. Create zip files.
|
||||
|
||||
cd into the `installers/` folder and run
|
||||
`./create_installers.sh`. This will create
|
||||
`InvokeAI-mac_on_<branch>.zip`,
|
||||
`InvokeAI-windows_on_<branch>.zip` and
|
||||
`InvokeAI-linux_on_<branch>.zip`. These files can be distributed to end users.
|
||||
|
||||
These zips will continue to function as installers for all future
|
||||
pushes to those branches, as long as necessary changes to
|
||||
`requirements.in` are propagated in a timely manner to the
|
||||
`py3.10-*-reqs.txt` files using pip-compile as outlined in [step
|
||||
2](#step-2).
|
||||
|
||||
To actually install, users should unzip the appropriate zip file into an empty
|
||||
folder and run `install.sh` on macOS/Linux or `install.bat` on
|
||||
Windows.
|
||||
@ -56,7 +56,7 @@ unofficial Stable Diffusion models and where they can be obtained.
|
||||
|
||||
There are three ways to install weights files:
|
||||
|
||||
1. During InvokeAI installation, the `preload_models.py` script can download
|
||||
1. During InvokeAI installation, the `configure_invokeai.py` script can download
|
||||
them for you.
|
||||
|
||||
2. You can use the command-line interface (CLI) to import, configure and modify
|
||||
@ -65,13 +65,13 @@ There are three ways to install weights files:
|
||||
3. You can download the files manually and add the appropriate entries to
|
||||
`models.yaml`.
|
||||
|
||||
### Installation via `preload_models.py`
|
||||
### Installation via `configure_invokeai.py`
|
||||
|
||||
This is the most automatic way. Run `scripts/preload_models.py` from the
|
||||
This is the most automatic way. Run `scripts/configure_invokeai.py` from the
|
||||
console. It will ask you to select which models to download and lead you through
|
||||
the steps of setting up a Hugging Face account if you haven't done so already.
|
||||
|
||||
To start, run `python scripts/preload_models.py` from within the InvokeAI:
|
||||
To start, run `python scripts/configure_invokeai.py` from within the InvokeAI:
|
||||
directory
|
||||
|
||||
!!! example ""
|
||||
@ -238,7 +238,7 @@ arabian-nights-1.0:
|
||||
| arabian-nights-1.0 | This is the name of the model that you will refer to from within the CLI and the WebGUI when you need to load and use the model. |
|
||||
| description | Any description that you want to add to the model to remind you what it is. |
|
||||
| weights | Relative path to the .ckpt weights file for this model. |
|
||||
| config | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `preload_models.py` script. |
|
||||
| config | This is the confusingly-named configuration file for the model itself. Use `./configs/stable-diffusion/v1-inference.yaml` unless the model happens to need a custom configuration, in which case the place you downloaded it from will tell you what to use instead. For example, the runwayML custom inpainting model requires the file `configs/stable-diffusion/v1-inpainting-inference.yaml`. This is already inclued in the InvokeAI distribution and is configured automatically for you by the `configure_invokeai.py` script. |
|
||||
| vae | If you want to add a VAE file to the model, then enter its path here. |
|
||||
| width, height | This is the width and height of the images used to train the model. Currently they are always 512 and 512. |
|
||||
|
||||
|
||||
@ -1,8 +1,8 @@
|
||||
---
|
||||
title: InvokeAI Installer
|
||||
title: InvokeAI Binary Installer
|
||||
---
|
||||
|
||||
The InvokeAI installer is a shell script that will install InvokeAI onto a stock
|
||||
The InvokeAI binary installer is a shell script that will install InvokeAI onto a stock
|
||||
computer running recent versions of Linux, MacOSX or Windows. It will leave you
|
||||
with a version that runs a stable version of InvokeAI. When a new version of
|
||||
InvokeAI is released, you will download and reinstall the new version.
|
||||
@ -35,8 +35,8 @@ recommended model weights files.
|
||||
## Steps to Install
|
||||
|
||||
1. Download the
|
||||
[latest release](https://github.com/invoke-ai/InvokeAI/releases/latest) of
|
||||
InvokeAI's installer for your platform
|
||||
[latest release](https://github.com/invoke-ai/InvokeAI/releases/tag/2.2.0-rc4) of
|
||||
InvokeAI's installer for your platform. Look for a file named `InvokeAI-binary-<your platform>.zip`
|
||||
|
||||
2. Place the downloaded package someplace where you have plenty of HDD space,
|
||||
and have full permissions (i.e. `~/` on Lin/Mac; your home folder on Windows)
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
title: Running InvokeAI on Google Colab using a Jupyter Notebook
|
||||
---
|
||||
|
||||
# THIS NEEDS TO BE FLESHED OUT
|
||||
# THIS DOCUMENTATION IS UNFINISHED - VOLUNTEERS GRATEFULLY ACCEPTED
|
||||
|
||||
## Introduction
|
||||
|
||||
@ -22,6 +22,4 @@ start running the cells one-by-one.
|
||||
|
||||
### Updating the stable version
|
||||
|
||||
### Updating to the development version
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
@ -155,10 +155,10 @@ command-line completion.
|
||||
process for this is described in [here](INSTALLING_MODELS.md).
|
||||
|
||||
```bash
|
||||
python scripts/preload_models.py
|
||||
python scripts/configure_invokeai.py
|
||||
```
|
||||
|
||||
The script `preload_models.py` will interactively guide you through the
|
||||
The script `configure_invokeai.py` will interactively guide you through the
|
||||
process of downloading and installing the weights files needed for InvokeAI.
|
||||
Note that the main Stable Diffusion weights file is protected by a license
|
||||
agreement that you have to agree to. The script will list the steps you need
|
||||
@ -220,7 +220,7 @@ greatest version, launch the Anaconda window, enter `InvokeAI` and type:
|
||||
```bash
|
||||
git pull
|
||||
conda env update
|
||||
python scripts/preload_models.py --no-interactive #optional
|
||||
python scripts/configure_invokeai.py --no-interactive #optional
|
||||
```
|
||||
|
||||
This will bring your local copy into sync with the remote one. The last step may
|
||||
@ -359,7 +359,7 @@ brew install llvm
|
||||
|
||||
If brew config has Clang installed, update to the latest llvm and try creating the environment again.
|
||||
|
||||
#### `preload_models.py` or `invoke.py` crashes at an early stage
|
||||
#### `configure_invokeai.py` or `invoke.py` crashes at an early stage
|
||||
|
||||
This is usually due to an incomplete or corrupted Conda install. Make sure you
|
||||
have linked to the correct environment file and run `conda update` again.
|
||||
|
||||
86
docs/installation/INSTALL_PATCHMATCH.md
Normal file
86
docs/installation/INSTALL_PATCHMATCH.md
Normal file
@ -0,0 +1,86 @@
|
||||
---
|
||||
title: Installing PyPatchMatch
|
||||
---
|
||||
|
||||
# :octicons-paintbrush-16: Installing PyPatchMatch
|
||||
|
||||
pypatchmatch is a Python module for inpainting images. It is not
|
||||
needed to run InvokeAI, but it greatly improves the quality of
|
||||
inpainting and outpainting and is recommended.
|
||||
|
||||
Unfortunately, it is a C++ optimized module and installation
|
||||
can be somewhat challenging. This guide leads you through the steps.
|
||||
|
||||
## Windows
|
||||
|
||||
You're in luck! On Windows platforms PyPatchMatch will install
|
||||
automatically on Windows systems with no extra intervention.
|
||||
|
||||
## Macintosh
|
||||
|
||||
PyPatchMatch is not currently supported, but the team is working on
|
||||
it.
|
||||
|
||||
## Linux
|
||||
|
||||
Prior to installing PyPatchMatch, you need to take the following
|
||||
steps:
|
||||
|
||||
1. Install the `build-essential` tools:
|
||||
|
||||
```
|
||||
sudo apt update
|
||||
sudo apt install build-essential
|
||||
```
|
||||
|
||||
2. Install `opencv`:
|
||||
|
||||
```
|
||||
sudo apt install python3-opencv libopencv-dev
|
||||
```
|
||||
|
||||
3. Fix the naming of the `opencv` package configuration file:
|
||||
|
||||
```
|
||||
cd /usr/lib/x86_64-linux-gnu/pkgconfig/
|
||||
ln -sf opencv4.pc opencv.pc
|
||||
|
||||
4. Activate the environment you use for invokeai, either with
|
||||
`conda` or with a virtual environment.
|
||||
|
||||
5. Do a "develop" install of pypatchmatch:
|
||||
|
||||
```
|
||||
pip install -e git+https://github.com/invoke-ai/PyPatchMatch@0.1.3#egg=pypatchmatch
|
||||
```
|
||||
|
||||
6. Confirm that pypatchmatch is installed.
|
||||
At the command-line prompt enter `python`, and
|
||||
then at the `>>>` line type `from patchmatch import patch_match`:
|
||||
It should look like the follwing:
|
||||
|
||||
```
|
||||
Python 3.9.5 (default, Nov 23 2021, 15:27:38)
|
||||
[GCC 9.3.0] on linux
|
||||
Type "help", "copyright", "credits" or "license" for more information.
|
||||
>>> from patchmatch import patch_match
|
||||
Compiling and loading c extensions from "/home/lstein/Projects/InvokeAI/.invokeai-env/src/pypatchmatch/patchmatch".
|
||||
rm -rf build/obj libpatchmatch.so
|
||||
mkdir: created directory 'build/obj'
|
||||
mkdir: created directory 'build/obj/csrc/'
|
||||
[dep] csrc/masked_image.cpp ...
|
||||
[dep] csrc/nnf.cpp ...
|
||||
[dep] csrc/inpaint.cpp ...
|
||||
[dep] csrc/pyinterface.cpp ...
|
||||
[CC] csrc/pyinterface.cpp ...
|
||||
[CC] csrc/inpaint.cpp ...
|
||||
[CC] csrc/nnf.cpp ...
|
||||
[CC] csrc/masked_image.cpp ...
|
||||
[link] libpatchmatch.so ...
|
||||
```
|
||||
|
||||
If you see no errors, then you're ready to go!
|
||||
|
||||
|
||||
|
||||
|
||||
@ -27,7 +27,7 @@ Though there are multiple steps, there really is only one click involved to kick
|
||||
off the process.
|
||||
|
||||
1. The source installer is distributed in ZIP files. Go to the
|
||||
[latest release](https://github.com/invoke-ai/InvokeAI/releases/latest), and
|
||||
[latest release](https://github.com/invoke-ai/InvokeAI/releases/tag/2.2.0-rc4), and
|
||||
look for a series of files named:
|
||||
|
||||
- invokeAI-src-installer-mac.zip
|
||||
@ -55,7 +55,7 @@ off the process.
|
||||
named `install.bat` on Windows systems and `install.sh` on Linux and
|
||||
Macintosh systems.
|
||||
|
||||
4. Alternatively, form the command line, run the shell script or .bat file:
|
||||
4. Alternatively, from the command line, run the shell script or .bat file:
|
||||
|
||||
```cmd
|
||||
C:\Documents\Linco> cd invokeAI
|
||||
@ -66,8 +66,17 @@ off the process.
|
||||
requirements including Conda, Git and Python, then download the current
|
||||
InvokeAI code and install it along with its dependencies.
|
||||
|
||||
Be aware that some of the library download and install steps take a long time.
|
||||
In particular, the `pytorch` package is quite large and often appears to get
|
||||
"stuck" at 99.9%. Similarly, the `pip installing requirements` step may
|
||||
appear to hang. Have patience and the installation step will eventually
|
||||
resume. However, there are occasions when the library install does
|
||||
legitimately get stuck. If you have been waiting for more than ten minutes
|
||||
and nothing is happening, you can interrupt the script with ^C. You may restart
|
||||
it and it will pick up where it left off.
|
||||
|
||||
6. After installation completes, the installer will launch a script called
|
||||
`preload_models.py`, which will guide you through the first-time process of
|
||||
`configure_invokeai.py`, which will guide you through the first-time process of
|
||||
selecting one or more Stable Diffusion model weights files, downloading and
|
||||
configuring them.
|
||||
|
||||
@ -110,6 +119,71 @@ python scripts/invoke.py --web --max_load_models=3 \
|
||||
These options are described in detail in the
|
||||
[Command-Line Interface](../features/CLI.md) documentation.
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
_Package dependency conflicts_ If you have previously installed
|
||||
InvokeAI or another Stable Diffusion package, the installer may
|
||||
occasionally pick up outdated libraries and either the installer or
|
||||
`invoke` will fail with complaints out library conflicts. There are
|
||||
two steps you can take to clear this problem. Both of these are done
|
||||
from within the "developer's console", which you can get to by
|
||||
launching `invoke.sh` (or `invoke.bat`) and selecting launch option
|
||||
#3:
|
||||
|
||||
1. Remove the previous `invokeai` environment completely. From within
|
||||
the developer's console, give the command `conda env remove -n
|
||||
invokeai`. This will delete previous files installed by `invoke`.
|
||||
|
||||
Then exit from the developer's console and launch the script
|
||||
`update.sh` (or `update.bat`). This will download the most recent
|
||||
InvokeAI (including bug fixes) and reinstall the environment.
|
||||
You should then be able to run `invoke.sh`/`invoke.bat`.
|
||||
|
||||
2. If this doesn't work, you can try cleaning your system's conda
|
||||
cache. This is slightly more extreme, but won't interfere with
|
||||
any other python-based programs installed on your computer.
|
||||
From the developer's console, run the command `conda clean -a`
|
||||
and answer "yes" to all prompts.
|
||||
|
||||
After this is done, run `update.sh` and try again as before.
|
||||
|
||||
_"Corrupted configuration file."__ Everything seems to install ok, but
|
||||
`invoke` complains of a corrupted configuration file and goes calls
|
||||
`configure_invokeai.py` to fix, but this doesn't fix the problem.
|
||||
|
||||
This issue is often caused by a misconfigured configuration directive
|
||||
in the `.invokeai` initialization file that contains startup settings.
|
||||
This can be corrected by fixing the offending line.
|
||||
|
||||
First find `.invokeai`. It is a small text file located in your home
|
||||
directory, `~/.invokeai` on Mac and Linux systems, and `C:\Users\*your
|
||||
name*\.invokeai` on Windows systems. Open it with a text editor
|
||||
(e.g. Notepad on Windows, TextEdit on Macs, or `nano` on Linux)
|
||||
and look for the lines starting with `--root` and `--outdir`.
|
||||
|
||||
An example is here:
|
||||
|
||||
```cmd
|
||||
--root="/home/lstein/invokeai"
|
||||
--outdir="/home/lstein/invokeai/outputs"
|
||||
```
|
||||
|
||||
There should not be whitespace before or after the directory paths,
|
||||
and the paths should not end with slashes:
|
||||
|
||||
```cmd
|
||||
--root="/home/lstein/invokeai " # wrong! no whitespace here
|
||||
--root="/home\lstein\invokeai\" # wrong! shouldn't end in a slash
|
||||
```
|
||||
|
||||
Fix the problem with your text editor and save as a **plain text**
|
||||
file. This should clear the issue.
|
||||
|
||||
_If none of these maneuvers fixes the problem_ then please report the
|
||||
problem to the [InvokeAI
|
||||
Issues](https://github.com/invoke-ai/InvokeAI/issues) section, or
|
||||
visit our [Discord Server](https://discord.gg/ZmtBAhwWhy) for interactive assistance.
|
||||
|
||||
## Updating to newer versions
|
||||
|
||||
This section describes how to update InvokeAI to new versions of the software.
|
||||
@ -119,31 +193,15 @@ This section describes how to update InvokeAI to new versions of the software.
|
||||
This distribution is changing rapidly, and we add new features on a daily basis.
|
||||
To update to the latest released version (recommended), run the `update.sh`
|
||||
(Linux/Mac) or `update.bat` (Windows) scripts. This will fetch the latest
|
||||
release and re-run the `preload_models` script to download any updated models
|
||||
release and re-run the `configure_invokeai` script to download any updated models
|
||||
files that may be needed. You can also use this to add additional models that
|
||||
you did not select at installation time.
|
||||
|
||||
### Updating to the development version
|
||||
|
||||
There may be times that there is a feature in the `development` branch of
|
||||
InvokeAI that you'd like to take advantage of. Or perhaps there is a branch that
|
||||
corrects an annoying bug. To do this, you will use the developer's console.
|
||||
|
||||
From within the invokeAI directory, run the command `invoke.sh` (Linux/Mac) or
|
||||
`invoke.bat` (Windows) and selection option (3) to open the developers console.
|
||||
Then run the following command to get the `development branch`:
|
||||
|
||||
```bash
|
||||
git checkout development
|
||||
git pull
|
||||
conda env update
|
||||
```
|
||||
|
||||
You can now close the developer console and run `invoke` as before. If you get
|
||||
complaints about missing models, then you may need to do the additional step of
|
||||
running `preload_models.py`. This happens relatively infrequently. To do this,
|
||||
running `configure_invokeai.py`. This happens relatively infrequently. To do this,
|
||||
simply open up the developer's console again and type
|
||||
`python scripts/preload_models.py`.
|
||||
`python scripts/configure_invokeai.py`.
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
|
||||
@ -5,12 +5,17 @@ title: Overview
|
||||
We offer several ways to install InvokeAI, each one suited to your
|
||||
experience and preferences.
|
||||
|
||||
1. [InvokeAI installer](INSTALL_INVOKE.md)
|
||||
1. [InvokeAI binary installer](INSTALL_INVOKE.md)
|
||||
|
||||
This is a installer script that installs InvokeAI and all the
|
||||
third party libraries it depends on. When a new version of
|
||||
InvokeAI is released, you will download and reinstall the new
|
||||
version.
|
||||
third party libraries it depends on. It includes access to a
|
||||
"developer console" which will help us debug problems with you and
|
||||
give you to access experimental features.
|
||||
|
||||
When a new InvokeAI release is available, you will run an `update`
|
||||
script to download and install the new version. Intermediate versions
|
||||
that contain experimental and possibly unstable features will not be
|
||||
available.
|
||||
|
||||
This installer is designed for people who want the system to "just
|
||||
work", don't have an interest in tinkering with it, and do not
|
||||
@ -19,23 +24,32 @@ experience and preferences.
|
||||
**Important Caveats**
|
||||
- This script does not support AMD GPUs. For Linux AMD support,
|
||||
please use the manual or source code installer methods.
|
||||
- This script has difficulty on some Macintosh machines
|
||||
that have previously been used for Python development due to
|
||||
conflicting development tools versions. Mac developers may wish
|
||||
to try the source code installer or one of the manual methods instead.
|
||||
- The tab autocomplete feature of the command-line client,
|
||||
which completes commonly used filenames and commands, will
|
||||
not work in this version. All Web UI functions are fully
|
||||
operational, however.
|
||||
|
||||
2. [Source code installer](INSTALL_SOURCE.md)
|
||||
2. [InvokeAI source code installer](INSTALL_SOURCE.md)
|
||||
|
||||
This is a script that will install InvokeAI and all its essential
|
||||
third party libraries. In contrast to the previous installer, it
|
||||
includes access to a "developer console" which will allow you to
|
||||
access experimental features on the development branch.
|
||||
This is a script that will install Python, the Anaconda ("conda")
|
||||
package manager, all of InvokeAI's its essential third party
|
||||
libraries and InvokeAI itself. It includes access to a "developer
|
||||
console" which will help us debug problems with you and give you
|
||||
to access experimental features.
|
||||
|
||||
This method is recommended for individuals who are wish to stay
|
||||
on the cutting edge of InvokeAI development and are not afraid
|
||||
of occasional breakage.
|
||||
When a new InvokeAI feature is available, even between releases,
|
||||
you will be able to upgrade and try it out by running an `update`
|
||||
script. This method is recommended for individuals who wish to
|
||||
stay on the cutting edge of InvokeAI development and are not
|
||||
afraid of occasional breakage.
|
||||
|
||||
3. [Manual Installation](INSTALL_MANUAL.md)
|
||||
**Important Caveats**
|
||||
- This script is a bit cranky and occasionally hangs or times out,
|
||||
forcing you to cancel and restart the script (it will pick up where
|
||||
it left off). It also takes noticeably longer to run than the
|
||||
binary installer.
|
||||
|
||||
2. [Manual Installation](INSTALL_MANUAL.md)
|
||||
|
||||
In this method you will manually run the commands needed to install
|
||||
InvokeAI and its dependencies. We offer two recipes: one suited to
|
||||
@ -47,14 +61,14 @@ experience and preferences.
|
||||
the cutting edge of future InvokeAI development and is willing to put
|
||||
up with occasional glitches and breakage.
|
||||
|
||||
4. [Docker Installation](INSTALL_DOCKER.md)
|
||||
3. [Docker Installation](INSTALL_DOCKER.md)
|
||||
|
||||
We also offer a method for creating Docker containers containing
|
||||
InvokeAI and its dependencies. This method is recommended for
|
||||
individuals with experience with Docker containers and understand
|
||||
the pluses and minuses of a container-based install.
|
||||
|
||||
5. [Jupyter Notebooks Installation](INSTALL_JUPYTER.md)
|
||||
4. [Jupyter Notebooks Installation](INSTALL_JUPYTER.md)
|
||||
|
||||
This method is suitable for running InvokeAI on a Google Colab
|
||||
account. It is recommended for individuals who have previously
|
||||
|
||||
@ -69,7 +69,7 @@ title: Manual Installation, Linux
|
||||
machine-learning models:
|
||||
|
||||
```bash
|
||||
(invokeai) ~/InvokeAI$ python3 scripts/preload_models.py
|
||||
(invokeai) ~/InvokeAI$ python3 scripts/configure_invokeai.py
|
||||
```
|
||||
|
||||
!!! note
|
||||
|
||||
@ -111,7 +111,7 @@ will do our best to help.
|
||||
|
||||
!!! todo "Download the model weight files"
|
||||
|
||||
The `preload_models.py` script downloads and installs the model weight
|
||||
The `configure_invokeai.py` script downloads and installs the model weight
|
||||
files for you. It will lead you through the process of getting a Hugging Face
|
||||
account, accepting the Stable Diffusion model weight license agreement, and
|
||||
creating a download token:
|
||||
@ -119,7 +119,7 @@ will do our best to help.
|
||||
```bash
|
||||
# This will take some time, depending on the speed of your internet connection
|
||||
# and will consume about 10GB of space
|
||||
python scripts/preload_models.py
|
||||
python scripts/configure_invokeai.py
|
||||
```
|
||||
|
||||
!!! todo "Run InvokeAI!"
|
||||
@ -220,8 +220,8 @@ There are several causes of these errors:
|
||||
with "(invokeai)" then you activated it. If it begins with "(base)" or
|
||||
something else you haven't.
|
||||
|
||||
2. You might've run `./scripts/preload_models.py` or `./scripts/invoke.py`
|
||||
instead of `python ./scripts/preload_models.py` or
|
||||
2. You might've run `./scripts/configure_invokeai.py` or `./scripts/invoke.py`
|
||||
instead of `python ./scripts/configure_invokeai.py` or
|
||||
`python ./scripts/invoke.py`. The cause of this error is long so it's below.
|
||||
|
||||
<!-- I could not find out where the error is, otherwise would have marked it as a footnote -->
|
||||
@ -359,7 +359,7 @@ python ./scripts/txt2img.py \
|
||||
### OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'
|
||||
|
||||
```bash
|
||||
python scripts/preload_models.py
|
||||
python scripts/configure_invokeai.py
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
@ -65,7 +65,7 @@ Note that you will need NVIDIA drivers, Python 3.10, and Git installed beforehan
|
||||
7. Load the big stable diffusion weights files and a couple of smaller machine-learning models:
|
||||
|
||||
```bash
|
||||
python scripts/preload_models.py
|
||||
python scripts/configure_invokeai.py
|
||||
```
|
||||
|
||||
!!! note
|
||||
|
||||
File diff suppressed because one or more lines are too long
2
frontend/dist/index.html
vendored
2
frontend/dist/index.html
vendored
@ -6,7 +6,7 @@
|
||||
<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.bd109a2c.js"></script>
|
||||
<script type="module" crossorigin src="./assets/index.637f12bd.js"></script>
|
||||
<link rel="stylesheet" href="./assets/index.c609c0c8.css">
|
||||
</head>
|
||||
|
||||
|
||||
@ -42,7 +42,6 @@ const makeSocketIOEmitters = (
|
||||
options: optionsState,
|
||||
system: systemState,
|
||||
canvas: canvasState,
|
||||
gallery: galleryState,
|
||||
} = state;
|
||||
|
||||
const frontendToBackendParametersConfig: FrontendToBackendParametersConfig =
|
||||
@ -55,13 +54,6 @@ const makeSocketIOEmitters = (
|
||||
|
||||
dispatch(generationRequested());
|
||||
|
||||
if (!['txt2img', 'img2img'].includes(generationMode)) {
|
||||
if (!galleryState.currentImage?.url) return;
|
||||
|
||||
frontendToBackendParametersConfig.imageToProcessUrl =
|
||||
galleryState.currentImage.url;
|
||||
}
|
||||
|
||||
const { generationParameters, esrganParameters, facetoolParameters } =
|
||||
frontendToBackendParameters(frontendToBackendParametersConfig);
|
||||
|
||||
|
||||
@ -30,13 +30,7 @@ export const frontendToBackendParameters = (
|
||||
): { [key: string]: any } => {
|
||||
const canvasBaseLayer = getCanvasBaseLayer();
|
||||
|
||||
const {
|
||||
generationMode,
|
||||
optionsState,
|
||||
canvasState,
|
||||
systemState,
|
||||
imageToProcessUrl,
|
||||
} = config;
|
||||
const { generationMode, optionsState, canvasState, systemState } = config;
|
||||
|
||||
const {
|
||||
cfgScale,
|
||||
@ -164,7 +158,6 @@ export const frontendToBackendParameters = (
|
||||
|
||||
generationParameters.fit = false;
|
||||
|
||||
generationParameters.init_img = imageToProcessUrl;
|
||||
generationParameters.strength = img2imgStrength;
|
||||
|
||||
generationParameters.invert_mask = shouldPreserveMaskedArea;
|
||||
|
||||
@ -36,7 +36,7 @@ class Concepts(object):
|
||||
models = self.hf_api.list_models(filter=ModelFilter(model_name='sd-concepts-library/'))
|
||||
self.concept_list = [a.id.split('/')[1] for a in models]
|
||||
except Exception as e:
|
||||
print(' ** WARNING: Hugging Face textual inversion concepts libraries could not be loaded. The error was {str(e)}.')
|
||||
print(f' ** WARNING: Hugging Face textual inversion concepts libraries could not be loaded. The error was {str(e)}.')
|
||||
print(' ** You may load .bin and .pt file(s) manually using the --embedding_directory argument.')
|
||||
return self.concept_list
|
||||
|
||||
|
||||
@ -26,7 +26,7 @@ if Globals.try_patchmatch:
|
||||
print('>> Patchmatch initialized')
|
||||
infill_methods.append('patchmatch')
|
||||
else:
|
||||
print('>> Patchmatch not loaded, please see https://github.com/invoke-ai/InvokeAI/blob/patchmatch-install-docs/docs/installation/INSTALL_PATCHMATCH.md')
|
||||
print('>> Patchmatch not loaded (nonfatal)')
|
||||
else:
|
||||
print('>> Patchmatch loading disabled')
|
||||
|
||||
|
||||
@ -101,7 +101,8 @@ class Completer(object):
|
||||
self.linebuffer = None
|
||||
self.auto_history_active = True
|
||||
self.extensions = None
|
||||
self.concepts = Concepts().list_concepts()
|
||||
self.concepts = None
|
||||
self.embedding_terms = set()
|
||||
return
|
||||
|
||||
def complete(self, text, state):
|
||||
@ -270,16 +271,21 @@ class Completer(object):
|
||||
return matches
|
||||
|
||||
def add_embedding_terms(self, terms:list[str]):
|
||||
self.concepts = Concepts().list_concepts()
|
||||
self.concepts.extend(terms)
|
||||
self.embedding_terms = set(terms)
|
||||
if self.concepts:
|
||||
self.embedding_terms.update(self.concepts)
|
||||
|
||||
def _concept_completions(self, text, state):
|
||||
if self.concepts is None:
|
||||
self.concepts = set(Concepts().list_concepts())
|
||||
self.embedding_terms.update(self.concepts)
|
||||
|
||||
partial = text[1:] # this removes the leading '<'
|
||||
if len(partial) == 0:
|
||||
return self.concepts # whole dump - think if user wants this!
|
||||
return list(self.embedding_terms) # whole dump - think if user wants this!
|
||||
|
||||
matches = list()
|
||||
for concept in self.concepts:
|
||||
for concept in self.embedding_terms:
|
||||
if concept.startswith(partial):
|
||||
matches.append(f'<{concept}>')
|
||||
matches.sort()
|
||||
@ -416,7 +422,11 @@ def get_completer(opt:Args, models=[])->Completer:
|
||||
readline.parse_and_bind('set skip-completed-text on')
|
||||
readline.parse_and_bind('set show-all-if-ambiguous on')
|
||||
|
||||
histfile = os.path.join(os.path.expanduser(opt.outdir), '.invoke_history')
|
||||
outdir = os.path.expanduser(opt.outdir)
|
||||
if os.path.isabs(outdir):
|
||||
histfile = os.path.join(outdir,'.invoke_history')
|
||||
else:
|
||||
histfile = os.path.join(Globals.root, outdir, '.invoke_history')
|
||||
try:
|
||||
readline.read_history_file(histfile)
|
||||
readline.set_history_length(1000)
|
||||
|
||||
23
scripts/configure_invokeai.py
Normal file → Executable file
23
scripts/configure_invokeai.py
Normal file → Executable file
@ -116,11 +116,13 @@ completely skip this step.
|
||||
completer.complete_extensions(None) # turn off path-completion mode
|
||||
selection = None
|
||||
while selection is None:
|
||||
choice = input('Download <r>ecommended models, <c>ustomize the list, or <s>kip this step? [r]: ')
|
||||
choice = input('Download <r>ecommended models, <a>ll models, <c>ustomized list, or <s>kip this step? [r]: ')
|
||||
if choice.startswith(('r','R')) or len(choice)==0:
|
||||
selection = 'recommended'
|
||||
elif choice.startswith(('c','C')):
|
||||
selection = 'customized'
|
||||
elif choice.startswith(('a','A')):
|
||||
selection = 'all'
|
||||
elif choice.startswith(('s','S')):
|
||||
selection = 'skip'
|
||||
return selection
|
||||
@ -175,6 +177,13 @@ def recommended_datasets()->dict:
|
||||
datasets[ds]=True
|
||||
return datasets
|
||||
|
||||
#---------------------------------------------
|
||||
def all_datasets()->dict:
|
||||
datasets = dict()
|
||||
for ds in Datasets.keys():
|
||||
datasets[ds]=True
|
||||
return datasets
|
||||
|
||||
#-------------------------------Authenticate against Hugging Face
|
||||
def authenticate():
|
||||
print('''
|
||||
@ -225,7 +234,9 @@ This involves a few easy steps.
|
||||
(You can enter anything you like in the token creation field marked "Name".
|
||||
"Role" should be "read").
|
||||
|
||||
Now copy the token to your clipboard and paste it here: '''
|
||||
Now copy the token to your clipboard and paste it at the prompt. Windows
|
||||
users can paste with right-click.
|
||||
Token: '''
|
||||
)
|
||||
access_token = getpass_asterisk.getpass_asterisk()
|
||||
return access_token
|
||||
@ -599,6 +610,8 @@ def download_weights(opt:dict):
|
||||
|
||||
if choice == 'recommended':
|
||||
models = recommended_datasets()
|
||||
elif choice == 'all':
|
||||
models = all_datasets()
|
||||
elif choice == 'customized':
|
||||
models = select_datasets(choice)
|
||||
if models is None and yes_or_no('Quit?',default_yes=False):
|
||||
@ -644,7 +657,8 @@ def select_root(root:str, yes_to_all:bool=False):
|
||||
completer.set_default_dir(default)
|
||||
completer.complete_extensions(())
|
||||
completer.set_line(default)
|
||||
return input(f"Select a directory in which to install InvokeAI's models and configuration files [{default}]: ") or default
|
||||
directory = input(f"Select a directory in which to install InvokeAI's models and configuration files [{default}]: ").strip(' \\')
|
||||
return directory or default
|
||||
|
||||
#-------------------------------------
|
||||
def select_outputs(root:str,yes_to_all:bool=False):
|
||||
@ -654,7 +668,8 @@ def select_outputs(root:str,yes_to_all:bool=False):
|
||||
completer.set_default_dir(os.path.expanduser('~'))
|
||||
completer.complete_extensions(())
|
||||
completer.set_line(default)
|
||||
return input(f'Select the default directory for image outputs [{default}]: ') or default
|
||||
directory = input(f'Select the default directory for image outputs [{default}]: ').strip(' \\')
|
||||
return directory or default
|
||||
|
||||
#-------------------------------------
|
||||
def initialize_rootdir(root:str,yes_to_all:bool=False):
|
||||
|
||||
BIN
source_installer/WinLongPathsEnabled.reg
Normal file
BIN
source_installer/WinLongPathsEnabled.reg
Normal file
Binary file not shown.
@ -5,7 +5,8 @@ cd "$(dirname "${BASH_SOURCE[0]}")"
|
||||
# make the installer zip for linux and mac
|
||||
rm -rf invokeAI
|
||||
mkdir -p invokeAI
|
||||
cp install.sh invokeAI
|
||||
cp install.sh.in invokeAI/install.sh
|
||||
chmod a+x invokeAI/install.sh
|
||||
cp readme.txt invokeAI
|
||||
|
||||
zip -r invokeAI-src-installer-linux.zip invokeAI
|
||||
@ -14,10 +15,11 @@ zip -r invokeAI-src-installer-mac.zip invokeAI
|
||||
# make the installer zip for windows
|
||||
rm -rf invokeAI
|
||||
mkdir -p invokeAI
|
||||
cp install.bat invokeAI
|
||||
cp install.bat.in invokeAI/install.bat
|
||||
cp readme.txt invokeAI
|
||||
cp WinLongPathsEnabled.reg invokeAI
|
||||
|
||||
zip -r invokeAI-src-installer-windows.zip invokeAI
|
||||
|
||||
rm -rf invokeAI
|
||||
echo "The installer zips are ready to be distributed.."
|
||||
|
||||
@ -5,12 +5,17 @@
|
||||
@rem For users who already have git and conda, this step will be skipped.
|
||||
|
||||
@rem Next, it'll checkout the project's git repo, if necessary.
|
||||
@rem Finally, it'll create the conda environment and preload the models.
|
||||
@rem Finally, it'll create the conda environment and configure InvokeAI.
|
||||
|
||||
@rem This enables a user to install this project without manually installing conda and git.
|
||||
|
||||
echo "Installing InvokeAI.."
|
||||
echo.
|
||||
echo "InvokeAI source installer..."
|
||||
echo ""
|
||||
echo "Some of the installation steps take a long time to run. Please be patient."
|
||||
echo "If the script appears to hang for more than 10 minutes, please interrupt with control-C and retry."
|
||||
echo "<Press any key to start the install process>"
|
||||
pause
|
||||
echo ""
|
||||
|
||||
@rem config
|
||||
set MAMBA_ROOT_PREFIX=%cd%\installer_files\mamba
|
||||
@ -84,23 +89,23 @@ copy environments-and-requirements\environment-win-cuda.yml environment.yml
|
||||
call conda env create
|
||||
if "%ERRORLEVEL%" NEQ "0" (
|
||||
echo ""
|
||||
echo "Something went wrong while installing Python libraries and cannot continue.
|
||||
echo "Please visit https://invoke-ai.github.io/InvokeAI/#installation for alternative"
|
||||
echo "installation methods."
|
||||
echo "Press any key to continue"
|
||||
echo "Something went wrong while installing Python libraries and cannot continue."
|
||||
echo "See https://invoke-ai.github.io/InvokeAI/INSTALL_SOURCE#troubleshooting for troubleshooting"
|
||||
echo "tips, or visit https://invoke-ai.github.io/InvokeAI/#installation for alternative"
|
||||
echo "installation methods"
|
||||
pause
|
||||
exit /b
|
||||
)
|
||||
|
||||
copy source_installer\invoke.bat invoke.bat
|
||||
copy source_installer\update.bat update.bat
|
||||
copy source_installer\invoke.bat.in .\invoke.bat
|
||||
copy source_installer\update.bat.in .\update.bat
|
||||
|
||||
call conda activate invokeai
|
||||
@rem preload the models
|
||||
call python scripts\preload_models.py
|
||||
@rem call configure script
|
||||
call python scripts\configure_invokeai.py
|
||||
if "%ERRORLEVEL%" NEQ "0" (
|
||||
echo ""
|
||||
echo "The preload_models.py script crashed or was cancelled."
|
||||
echo "The configure script crashed or was cancelled."
|
||||
echo "InvokeAI is not ready to run. To run preload_models.py again,"
|
||||
echo "run the command 'update.bat' in this directory."
|
||||
echo "Press any key to continue"
|
||||
@ -114,5 +119,6 @@ echo "* InvokeAI installed successfully *"
|
||||
echo "You can now start generating images by double-clicking the 'invoke.bat' file (inside this folder)
|
||||
echo "Press any key to continue"
|
||||
pause
|
||||
exit 0
|
||||
exit /b
|
||||
|
||||
|
||||
@ -1,17 +1,21 @@
|
||||
#!/bin/bash
|
||||
#!/usr/bin/env bash
|
||||
|
||||
# This script will install git and conda (if not found on the PATH variable)
|
||||
# using micromamba (an 8mb static-linked single-file binary, conda replacement).
|
||||
# For users who already have git and conda, this step will be skipped.
|
||||
|
||||
# Next, it'll checkout the project's git repo, if necessary.
|
||||
# Finally, it'll create the conda environment and preload the models.
|
||||
# Finally, it'll create the conda environment and configure InvokeAI.
|
||||
|
||||
# This enables a user to install this project without manually installing conda and git.
|
||||
|
||||
cd "$(dirname "${BASH_SOURCE[0]}")"
|
||||
|
||||
echo "Installing InvokeAI.."
|
||||
echo "InvokeAI source installer..."
|
||||
echo ""
|
||||
echo "Some of the installation steps take a long time to run. Please be patient."
|
||||
echo "If the script appears to hang for more than 10 minutes, please interrupt with control-C and retry."
|
||||
read -n 1 -s -r -p "<Press any key to start the install>"
|
||||
echo ""
|
||||
|
||||
OS_NAME=$(uname -s)
|
||||
@ -112,21 +116,22 @@ status=$?
|
||||
|
||||
if test $status -ne 0
|
||||
then
|
||||
echo "Something went wrong while installing Python libraries and cannot continue."
|
||||
echo "Please visit https://invoke-ai.github.io/InvokeAI/#installation for alternative"
|
||||
echo "installation methods"
|
||||
echo "Something went wrong while installing Python libraries and cannot continue."
|
||||
echo "See https://invoke-ai.github.io/InvokeAI/INSTALL_SOURCE#troubleshooting for troubleshooting"
|
||||
echo "tips, or visit https://invoke-ai.github.io/InvokeAI/#installation for alternative"
|
||||
echo "installation methods"
|
||||
else
|
||||
ln -sf ./source_installer/invoke.sh .
|
||||
ln -sf ./source_installer/update.sh .
|
||||
ln -sf ./source_installer/invoke.sh.in ./invoke.sh
|
||||
ln -sf ./source_installer/update.sh.in ./update.sh
|
||||
|
||||
conda activate invokeai
|
||||
# preload the models
|
||||
echo "Calling the preload_models.py script"
|
||||
python scripts/preload_models.py
|
||||
# configure
|
||||
echo "Calling the configure_invokeai script"
|
||||
python scripts/configure_invokeai.py
|
||||
status=$?
|
||||
if test $status -ne 0
|
||||
then
|
||||
echo "The preload_models.py script crashed or was cancelled."
|
||||
echo "The configure_invoke.py script crashed or was cancelled."
|
||||
echo "InvokeAI is not ready to run. Try again by running"
|
||||
echo "update.sh in this directory."
|
||||
else
|
||||
Loading…
Reference in New Issue
Block a user