2022-08-23 17:49:17 +00:00
|
|
|
# ignore default image save location and model symbolic link
|
|
|
|
|
outputs/
|
|
|
|
|
models/ldm/stable-diffusion-v1/model.ckpt
|
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
2022-10-16 17:19:49 +00:00
|
|
|
ldm/invoke/restoration/codeformer/weights
|
2022-08-23 17:49:17 +00:00
|
|
|
|
2022-09-10 17:42:05 +00:00
|
|
|
# ignore the Anaconda/Miniconda installer used while building Docker image
|
|
|
|
|
anaconda.sh
|
|
|
|
|
|
2022-08-25 20:31:24 +00:00
|
|
|
# ignore a directory which serves as a place for initial images
|
|
|
|
|
inputs/
|
|
|
|
|
|
2022-08-23 22:26:28 +00:00
|
|
|
# Byte-compiled / optimized / DLL files
|
|
|
|
|
__pycache__/
|
|
|
|
|
*.py[cod]
|
|
|
|
|
*$py.class
|
|
|
|
|
|
|
|
|
|
# C extensions
|
|
|
|
|
*.so
|
|
|
|
|
|
2022-08-24 15:52:13 +00:00
|
|
|
# emacs autosave and recovery files
|
2022-08-24 15:50:48 +00:00
|
|
|
*~
|
2022-08-24 15:52:13 +00:00
|
|
|
.#*
|
2022-08-24 15:50:48 +00:00
|
|
|
|
2022-08-23 22:26:28 +00:00
|
|
|
# Distribution / packaging
|
|
|
|
|
.Python
|
|
|
|
|
build/
|
|
|
|
|
develop-eggs/
|
|
|
|
|
dist/
|
|
|
|
|
downloads/
|
|
|
|
|
eggs/
|
|
|
|
|
.eggs/
|
|
|
|
|
lib/
|
|
|
|
|
lib64/
|
|
|
|
|
parts/
|
|
|
|
|
sdist/
|
|
|
|
|
var/
|
|
|
|
|
wheels/
|
2022-08-23 17:49:17 +00:00
|
|
|
pip-wheel-metadata/
|
2022-08-23 22:26:28 +00:00
|
|
|
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
|
2022-08-23 17:49:17 +00:00
|
|
|
.python-version
|
2022-08-23 22:26:28 +00:00
|
|
|
|
|
|
|
|
# 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
|
|
|
|
|
|
2022-08-23 17:49:17 +00:00
|
|
|
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
2022-08-23 22:26:28 +00:00
|
|
|
__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/
|
|
|
|
|
|
2022-08-24 16:09:22 +00:00
|
|
|
src
|
2022-08-23 22:26:28 +00:00
|
|
|
**/__pycache__/
|
2022-08-24 15:50:48 +00:00
|
|
|
outputs
|
2022-08-31 00:29:26 +00:00
|
|
|
|
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
2022-10-16 17:19:49 +00:00
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# Logs and associated folders
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2022-08-31 00:29:26 +00:00
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# created from generated embeddings.
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logs
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testtube
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2022-08-31 04:33:23 +00:00
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checkpoints
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# If it's a Mac
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.DS_Store
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2022-09-16 17:18:15 +00:00
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# Let the frontend manage its own gitignore
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!frontend/*
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# Scratch folder
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.scratch/
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.vscode/
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gfpgan/
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2022-09-16 20:35:34 +00:00
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models/ldm/stable-diffusion-v1/model.sha256
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2022-10-05 16:44:16 +00:00
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# GFPGAN model files
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gfpgan/
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