mirror of
https://github.com/invoke-ai/InvokeAI
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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>
47 lines
1.1 KiB
YAML
47 lines
1.1 KiB
YAML
name: invokeai
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channels:
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- pytorch
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- conda-forge
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- defaults
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dependencies:
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- python=3.10
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- pip=22.2.2
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- numpy=1.23.3
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- torchvision=0.13.1
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- torchaudio=0.12.1
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- pytorch=1.12.1
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- cudatoolkit=11.6
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- pip:
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- albumentations==0.4.3
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- dependency_injector==4.40.0
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- diffusers==0.6.0
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- einops==0.3.0
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- eventlet
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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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- getpass_asterisk
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- imageio-ffmpeg==0.4.2
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- imageio==2.9.0
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- kornia==0.6.0
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- omegaconf==2.2.3
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- opencv-python==4.5.5.64
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- picklescan
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- pillow==9.2.0
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- pudb==2019.2
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- pyreadline3
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- pytorch-lightning==1.7.7
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- realesrgan
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- send2trash==1.8.0
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- streamlit==1.12.0
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- taming-transformers-rom1504
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- test-tube>=0.7.5
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- torch-fidelity==0.3.0
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- torchmetrics==0.7.0
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- transformers==4.21.3
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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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- -e .
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