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For Windows Users

Open jtydhr88 opened this issue 1 year ago • 3 comments

if you try to run this on Windows, you might need to install the following dependencies manually:

  1. conda install -c conda-forge cudatoolkit-dev -y
  2. pip install Ninja
  3. https://visualstudio.microsoft.com/visual-cpp-build-tools/ and install c++ build tools with image

after installed these additional dependencies, I could run it on my local with 3090

Great Job!

jtydhr88 avatar Apr 13 '24 02:04 jtydhr88

What is the VRAM consumption of the tool ?

Mikerhinos avatar Apr 16 '24 17:04 Mikerhinos

What is the VRAM consumption of the tool ?

Using Win10, Docker and 3090 - it's using 23.3 GB VRAM (could be a little less since I am running some other programs) image

Lektro9 avatar Apr 20 '24 14:04 Lektro9

what is conda? i found condamini should i install that?

also if i only have a 3060 will i be able to run it and get good res?

abuneo avatar May 08 '24 17:05 abuneo