Update environment.yml for Ubuntu 22.04 #586
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- supersedes #977
- supersedes PR #977 - works with both img2img and txt2img
…t/InvokeAI into webui-image-drawer
- rename dream.py to invoke.py - create a compatibility script named dream.py that execs() invoke.py - redo documentation - change help message in args - this does **not** rename the libraries, which are still ldm.dream.util, etc
…nto release-candidate-2
- scripts and documentation updated to match - ran preflight checks on both web and CLI and seems to be working
…hvision due to performance issues
Issue referenced in invoke-ai/InvokeAI#980 (comment) Users whose embeddings are trained on a non-regular num_vectors_per_token (e.g. 6), should update this value in their local repo, to get that embedding to work.
…on level - In CLI: the argument is --png_compression <0..9> (-z<0..9>) - In API, pass `compress_level` to PngWriter.save_image_and_prompt_to_png() Compression ranges from 0 (no compression) to 9 (maximum compression). Default value is 6 (as specified by Pillow package). This addresses an issue first raised in CompVis#652.
Added a [community solution](CompVis#111 (comment)) to fix index out of bound when doing img2img generation with `ddim` sampler. Also, restored `steps_out` to be `ddim_timesteps + 1` since the removal was meant to fix the [1000 steps issue](CompVis#111)
* 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 (CompVis#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
as asked by @tildebyte
@tildebyte this would not have been pointed out without PR-Validation
also want to show how much faster it will run now with cached pkgs
also switch to python between 3.9-3.10 and use conda-forge again
also change content of hashFile-function
remove restore-keys, make keys uniuqe
…nto fix-gh-actions
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Only guaranteed for 22.04, for reasons.