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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?  

either turn down resolution or get more ram

(1 edit)

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 think its your vram actually, can you check how much vram you have?

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.