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2433cc344a
* add test-invoke-pip.yml * update requirements-base.txt to fix tests * install requirements-base.txt separate since it requires to have torch already installed also restore origin requirements-base.txt after suc. test in my fork * restore origin requirements add `basicsr>=1.4.2` to requirements-base.txt remove second installation step * re-add previously overseen req in lin-cuda * fix typo in setup.py - `scripts/preload_models.py` * use GFBGAN from branch `basicsr-1.4.2` * remove `basicsr>=1.4.2` from base reqs * add INVOKEAI_ROOT to env * disable upgrade of `pip`, `setuptools` and `wheel` * try to use a venv which should not contain `wheel` * add relative path to pip command * use `configure_invokeai.py --no-interactive --yes` * set grpcio to `<1.51.0` * revert changes to use venv * remove `--prefer-binary` * disable step to create models.yaml since this will not be used anymore with new `configure_invokeai.py` * use `pip install --no-binary=":all:"` * another try to use venv * try uninstalling wheel before installing reqs * dont use requirements.txt as filename * update cache-dependency-path * add facexlib to requirements-base.txt * first install requirements-base.txt * first install `-e .`, then install requirements I know that this is obviously the wrong order, but still have a feeling * add facexlib to requirements.in * remove `-e .` from reqs and install after reqs * unpin torch and torchvision in requirements.in * fix model dl path * fix curl output path * create directory before downloading model * set INVOKEAI_ROOT_PATH https://docs.github.com/en/actions/learn-github-actions/environment-variables#naming-conventions-for-environment-variables * INVOKEAI_ROOT ${{ env.GITHUB_WORKSPACE }}/invokeai * fix matrix stable-diffusion-model-dl-path * fix INVOKEAI_ROOT * fix INVOKEAI_ROOT * add --root and --outdir to run-tests step * create models.yaml from example * fix scripts variable in setup.py by removing unused scripts * fix archive-results path * fix workflow to reflect latest code changes * fix copy paste error * fix job name * fix matrix.stable-diffusion-model * restructure matrix * fix `activate conda env` step * update the environment yamls use same 4 git packages as for pip * rename job in test-invoke-conda * add tqdm to environment-lin-amd.yml * fix python commands in test-invoke-conda.yml Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>
39 lines
779 B
Plaintext
39 lines
779 B
Plaintext
# pip will resolve the version which matches torch
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albumentations
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dependency_injector==4.40.0
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diffusers
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einops
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eventlet
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facexlib
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flask==2.1.3
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flask_cors==3.0.10
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flask_socketio==5.3.0
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flaskwebgui==0.3.7
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getpass_asterisk
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huggingface-hub
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imageio
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imageio-ffmpeg
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kornia
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numpy
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omegaconf
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opencv-python
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pillow
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pip>=22
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pudb
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pyreadline3
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pytorch-lightning==1.7.7
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realesrgan
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scikit-image>=0.19
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send2trash
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streamlit
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taming-transformers-rom1504
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test-tube>=0.7.5
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torch-fidelity
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torchmetrics
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transformers==4.21.*
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picklescan
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git+https://github.com/openai/CLIP.git@main#egg=clip
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git+https://github.com/Birch-san/k-diffusion.git@mps#egg=k-diffusion
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git+https://github.com/invoke-ai/clipseg.git@relaxed-python-requirement#egg=clipseg
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git+https://github.com/invoke-ai/GFPGAN@basicsr-1.4.2#egg=gfpgan
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