InvokeAI/.gitignore

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# ignore default image save location and model symbolic link
outputs/
models/ldm/stable-diffusion-v1/model.ckpt
**/restoration/codeformer/weights
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# ignore user models config
configs/models.user.yaml
config/models.user.yml
# ignore the Anaconda/Miniconda installer used while building Docker image
anaconda.sh
# ignore a directory which serves as a place for initial images
inputs/
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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
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# emacs autosave and recovery files
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*~
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.#*
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# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
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pip-wheel-metadata/
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share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
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.python-version
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# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
src
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**/__pycache__/
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outputs
squash merge update-gh-actions into fix-gh-actions * fix mkdocs deployment * update path to python bin * add trigger for current branch * change path to python_bin for mac as well * try to use setup-python@v4 instead of setting env * remove setup conda action * try to use $CONDA * remove overseen action * change branch from master to main * sort out if then else for faster syntax * remove more if functions * add updates to create-caches as well * eliminate the rest of if functions * try to unpin pytorch and torchvision * restore pinned versions * try switching from set-output to use env * update test-invoke-conda as well * fix env var creation * quote variable * add second equal to compare * try another way to use outputs * fix outputs * pip install for mac before creating conda env * fix output variable * fix python bin path * remove pip install for before creating conda env * unpin streamlit version in conda mac env * try to make git-workflows better readable * remove 4gotten trigger * Update-gh-actions (#6) * fix mkdocs deployment * update path to python bin * add trigger for current branch * change path to python_bin for mac as well * try to use setup-python@v4 instead of setting env * remove setup conda action * try to use $CONDA * remove overseen action * change branch from master to main * sort out if then else for faster syntax * remove more if functions * add updates to create-caches as well * eliminate the rest of if functions * try to unpin pytorch and torchvision * restore pinned versions * try switching from set-output to use env * update test-invoke-conda as well * fix env var creation * quote variable * add second equal to compare * try another way to use outputs * fix outputs * pip install for mac before creating conda env * fix output variable * fix python bin path * remove pip install for before creating conda env * unpin streamlit version in conda mac env * try to make git-workflows better readable * use macos-latest * try to update conda before creating mac env * better conda update trial * re-pin streamlit version * re-added trigger to run workflow in current branch * try to find out if conda mac env could be updated * install cmake, protobuf and rust b4 conda * add yes to conda update * lets try anaconda3-2022.05 * try environment.yml for mac as well * reenable conda mac env, add pip install also fix gitignore by changing from dream to invoke * remove - unecesary virtualenv creation - conda update change != macos back to == linux * remove cmake from brew install since pre-installed * disable opencv-python pip requirement * fixed commands to find latest package versions * update requirements for mac env * back to the roots - only install conda env depending on runner_os with or without extra env variables * check out macOS in azure-pipelines since becoming kind of tired of the GitHub Runner which is broken as ... * let's try to setup python and update conda env * initialize conda before using it * add trigger in azure-pipelines.yml * And another go for update first .... * update azure-pipelines.yml - add caching - add checkpoint download - add paths to trigger and more * unquote checkpoint-url * fix chekpoint-url variable * mkdir before downloading model * set pr trigger to main, rename anaconda cache * unique cacheHitVariables * try to use macos-latest instead of macos-12 * update test-invoke-conda.yml: - remove unecesarry echo step - use s-weigand/setup-conda@v1 - remove conda update from install deps step since updated with action * update test-invoke-conda.yml: - rename conda env cache from ldm to invokeai - reorder steps: 1. checkout sources 2. setup python 3. setup conda 4. keep order after set platform variables * change macos back to 12 since also fails with 11 * update condition in run the tests make difference between main or not main * fix path to cache invokeai conda env * fix invokeai conda env cache path * update mkdocs-flow.yml * change conda-channel priority * update create-caches * update conda env also when cache was used * os dependend conda env cache path * use existing CONDA env pointing to conda root * create CONDA_ROOT output from $CONDA * use output variable to define test prompts * use setup-python v4, get rid of PYTHON_BIN env * add runner.os to result artifacts name * update test-invoke-conda.yml: - reuse macos-latest - disable setup python 3.9 - setup conda with default python version - create or update conda environment depending on cache success - remove name parameter from conda update since name is set in env yml * improve mkdocs-flow.yml * disable cache-hugginface-torch since preload_models.py downloads to more than one location * update mkdocs-flow.yml with new name * rename mkdocs action to mkdocs-material * try to ignore error when creating conda env maybe it would still be usable, lets see ;P * remove bloat * update environment-mac.yml to match dependencies of invoke-ai/InvokeAI's main branch * disable conda update, tweak prompt condition * try to set some env vars for macOS to fix conda * stop ignoring error, use env instead of outputs * tweak `[[` connditions * update python and pip dependencie makes a difference of 1 sec per itteration compared to 3.9!!! also I see no reason why using a old pip version would be beneficial * remove unecesarry env for macOS everything was pre-tested on my MacBook Air 2020 with M1 * update conda env in setup step * activate conda env after installation * update test-invoke-conda.yml - set conda env dependent on matrix.os - set CONDA_ENV_NAME to prevent breaking action when renaming conda env - fix conda env activation * fix activate conda env * set bash -l as default shell * use action to activate conda env * add conda env file to env activation * try to replace s-weigeand with conda-incubator * remove azure-pipelines.yml funniest part is that the macos runner is the same as the one on github! * include environment-file in matrix - also disable auto-activate-base and auto-update-conda - include macos-latest and macos-12 for debugging purpose - set miniforge-version in matrix * fix miniforge-variant, set fail-fast to false * add step to setup miniconda - make default shell a matrix variable - remove bloat * use a mac env yml without pinned versions * unpin nomkl, pytorch and torchvision also removed opencv-pyhton * cache conda pkgs dir instead of conda env * use python 3.10, exclude macos-12 from cache * fix expression * prepare for PR * fix doubled id * reuse pinned versions in mac conda env - updated python pip version - unpined pytorch and torchvision - removed opencv-python - updated versions to most recent (tested locally) * fix classical copy/paste error * remove unused env from shell-block comment * fix hashFiles function to determine restore-keys * reenable caching `~.cache`, update create-caches * unpin all versions in mac conda env file this was the only way I got it working in the action, also works locally tested on MacBook Air 2020 M1 remove environment-mac-unpinned.yml * prepare merge by removing this branch from trigger * include pull_request trigger for main and dev * remove pull_request trigger
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# Logs and associated folders
# created from generated embeddings.
logs
testtube
checkpoints
# If it's a Mac
.DS_Store
# Let the frontend manage its own gitignore
!frontend/*
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frontend/apt-get
frontend/dist
frontend/sudo
frontend/update
# Scratch folder
.scratch/
.vscode/
gfpgan/
models/ldm/stable-diffusion-v1/*.sha256
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# GFPGAN model files
gfpgan/
# config file (will be created by installer)
configs/models.yaml
# weights (will be created by installer)
models/ldm/stable-diffusion-v1/*.ckpt
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models/clipseg
models/gfpgan
# ignore initfile
invokeai.init
# ignore environment.yml and requirements.txt
# these are links to the real files in environments-and-requirements
environment.yml
requirements.txt
# this may be present if the user created a venv
invokeai