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> |
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| .. | ||
| create_installers.sh | ||
| install.bat | ||
| install.sh | ||
| invoke.bat | ||
| invoke.sh | ||
| py3.10-darwin-arm64-mps-reqs.txt | ||
| py3.10-darwin-x86_64-cpu-reqs.txt | ||
| py3.10-linux-x86_64-cuda-reqs.txt | ||
| py3.10-windows-x86_64-cuda-reqs.txt | ||
| readme.txt | ||
| requirements.in | ||
| WinLongPathsEnabled.reg | ||
InvokeAI
Project homepage: https://github.com/invoke-ai/InvokeAI
Installation on Windows:
NOTE: You might need to enable Windows Long Paths. If you're not sure,
then you almost certainly need to. Simply double-click the 'WinLongPathsEnabled.reg'
file. Note that you will need to have admin privileges in order to
do this.
Please double-click the 'install.bat' file (while keeping it inside the invokeAI folder).
Installation on Linux and Mac:
Please open the terminal, and run './install.sh' (while keeping it inside the invokeAI folder).
After installation, please run the 'invoke.bat' file (on Windows) or 'invoke.sh'
file (on Linux/Mac) to start InvokeAI.