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2 GB, so I see I need 4 GB.  Hm.  Someone recently mentioned that I might be able to create a virtual machine and up the VRAM using it, but I'm not sure if that would work given the NVIDIA CUDA requirements.  Hmm... Maybe I need to upgrade my hardware after all.

Thanks for your advice.  When you say turn down resolution, what do you mean?  I dropped the Resolution down to 64x64 but I got the same error.  Currently I have 16 GB RAM.  How much RAM is the minimum requirement?  Thanks again!

I tried it on my with a OptiPlex 990 / 16 GB RAM with GeForce GT 710 but I get this error:

File "torch\nn\modules\module.py", line 925, in convert  return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking) RuntimeError: CUDA out of memory. Tried to allocate 44.00 MiB (GPU 0; 2.00 GiB total capacity; 1.57 GiB already allocated; 20.93 MiB free; 1.63 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF

Anyone know if there anything I can do to get it to run on this machine?