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Broken optimizations #9
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Well.. I use xformers in kaggle and colab. Basically, installing in an inside virtual environment with Python 3.10 In Colab, you can choose between Pyenv and Conda for your virtual environment (download manually first). In Kaggle , Conda was already built in. Pyenv
Conda
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用了ipynb文件后,造成Colab账号封禁。 |
It may have something to do with that
"model" . My two accounts, kaggle, were also recently locked. Right now I am trying again to make a new notebook without sharing the notebook in public.
Edit:: |
能解封吗?不知道能否申诉成功。 |
Hello. I apologize that this has caused the lockdown of your accounts. It may have something to do with the violation of certain Google policies:
This cannot be resolved by me. |
@PreCoi It might take a few days for your account to be unlocked. In the meantime, I recommend using dummy accounts for Colab. It is also not recommended to keep the colab running for more than two hours at a time. |
Triton has been fixed. Testing xformers |
Triton has not been fixed. Error: triton-lang/triton#625 |
Upgrading to nightly triton... |
More errors. Seems like default xformers is outdated. Installing newer xformers takes very long |
Xformers has no improvements considering the time it takes to update the dependencies |
xformers and triton are both broken in Automatic1111's webui. I cannot fix this.
Can someone help?
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