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Trying to install Torch for CUDA on AMD hardware #2228
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The project does not have support for AMD GPU... If someone come up with the proper requirements file to support it I can integrate support in the GUI based on it. |
@bmaltais then why detecting which toolkit are used? Never mind. All we need is just Or just remove these checks from gui.sh, because they duplicate setup.sh functionality and break the environment manually properly configured. And checking Python version too. |
OK... I see there is a requirements_linux_rocm.txt file that specify some requirements... but I guess it does not work for your system? Would a new requirements file help with the installation for AMD cards that are not properly covered by the existing option? I did not create those files as I don't own an AMD card and other contributors created PR to get them as part of the GUI... If you can come up witht he required files to make the install work for you you might want to create a PR to submit the solution so others can benefit from it. |
Use Same case with Intel ARC / IPEX.
Don't use gui.sh if you don't want environment checks. Just run kohya_gui.py directly.
They are not used for anything other than logging right now. |
@Disty0 First of all, it should have been added to the instructions.
Then why does setup.sh exist? The instructions clearly say that setup.sh is for setting up the environment, gui.sh is for running. |
I don't like writing documents in general, community PRs are welcome.
This codebase implemented the requirements check in the setup.sh and gui.sh instead of python files and honestly, i didn't want to rewrite it to support autodetect.
MES Hangs and Memory Exceptions.
You can't run anything without activating the environment first. And let me add, using a manual environment is a rare use case. |
P.S. In general, should gui.sh intervene in the installation? For this, after all, there is setup.sh. And gui.sh should work on the principle of "take what's available", isn't it?
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