Comments (1)
torch-directml was never released for python 3.11, you need to use python 3.10.
that's pretty much the only package that still requires python 3.10, but not much we can do about it.
i'll add python version check to sdnext installer.
from automatic.
Related Issues (20)
- [Issue]: FaceID in txt2img input prompt ignore partially? HOT 1
- [Issue]: running SD3 HOT 13
- [Issue]: API IP Adapter start value error HOT 1
- [Extension]: ADetailer not being "enabled" via UI HOT 2
- [Issue]: Control endpoint ignores init images. HOT 1
- [Issue]: Pydantic error on Apple M1 HOT 4
- [Feature]: Add the ability to select Extra Networks (loras at this point) to xyz script HOT 5
- [Feature]: Option to Force GC after every operation. HOT 6
- [Issue]: SDXL model swapping freezes the computer (ROCm on AMD RX 7900 XTX) HOT 3
- [Issue]: When using PAG, after running ADetailer the wrong pipeline is restored HOT 1
- [Feature]: Enhance inpaint with full noise when desired HOT 9
- [Issue]: Wrong order in pipeline restore after ADetailer breaks extension with batch counts > 1 HOT 1
- [Issue]: Setting VAE to None doesn't unload VAE in memory. HOT 1
- Verifying submodules output is confusing HOT 5
- [Feature]: --update as alias for --upgrade HOT 1
- [Issue]: Process tab: image drop with no metadata throws a long error message HOT 2
- [Issue]: SD3 fails with `ValueError: too many values to unpack` HOT 11
- [Feature]: Adds the identification of model subdirectories HOT 3
- [Feature]: Why not add more examples? HOT 1
- [Issue]: AMD GPU (RX 7900 XT) on Ubuntu 22.04 not used HOT 5
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