* 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
* “Formally” means that there is a formality such as a rule or declaration, “formerly” refers to a prior state. The latter is almost certainly what is meant here.
<div> around the inline images works great in gh-pages, but breaks plain old markdown in GitHub code display. This removes the <div>s, causing slight degradation in quality of gh-page appearance.
At step counts greater than ~75, the ksamplers start producing noisy
images when using the Karras noise schedule. This PR reverts to using
the model's own noise schedule, which eliminates the problem at the
cost of slowing convergence at lower step counts.
This PR also introduces a new CLI `--save_intermediates <n>' argument,
which will save every nth intermediate image into a subdirectory
named `intermediates/<image_prefix>'.
Addresses issue #1083.
This commit "reverts" the new API changes by extracting the old
functionality into new files.
The work is based on the commit `803a51d5adca7e6e28491fc414fd3937bee7cb79`
PngWriter regained PromptFormatter as old server used that.
`server_legacy.py` is the old server that `dream.py` used.
Finally `legacy_api.py` is what `dream.py` used to be at the mentioned
commit.
One manually run test has been added in order to be able to test
compatibility with the old API, currently just testing that the API
endpoint works the same way + the image hash is the same as it used to
be before.
- better readability in dark mode since color change
- better looking changelog
- fix images which where not loading
- also center most of the images
- fix some syntax errors like
- headlines ending with a colon
- codeblocks with wrong fences
- codeblocks without shell
- update conda prompts from ldm to invokeai
- ....
