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This bat fill will automatically download 8.9.2.26 cuDNN dll files zip, extract them into the automatic_web_ui\venv\Lib\site-packages\torch\lib folder and replace the cuDNN dll files that comes with Torch installation.

This cuDNN is for CUDA 11.x for Windows

This can yield worse or better performance depending on your GPU. With RTX 4xxx series I would test it.

Alternatively you can download cuDNN dll files from this url yourself and you manually change and try different versions yourself.

Link : https://developer.nvidia.com/rdp/cudnn-archive

Link requires a free account register and accepting EULA

Procedure is same

Put the bat file inside your stable diffusion main folder

Here screenshot : https://i.imgur.com/yoWC3gd.png

Currently I am testing all cuDNN versions for RTX 3090 TI and

python: 3.10.9  •  torch: 2.0.1+cu118  •  xformers: 0.0.21.dev549

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