Open egorrrrrrrrr opened 1 year ago
So, if I reduce my image size by option --W 512 (instead of 768), I get no error, but it makes image smaller and worster quality. E.g.
It is possible to get 768 weight images from Tesla T4 with this repo? Who knows?
After running command with option --aesthetic_steps 2, I get:
RuntimeError: CUDA out of memory. Tried to allocate 2.25 GiB (GPU 0; 14.56 GiB total capacity; 8.77 GiB already allocated; 1.50 GiB free; 12.13 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
I'm using Tesla T4 with 16GB video memory. And also all works normal with --aesthetic_steps 0, and I receive image output. This solution doesn't helps me: https://stackoverflow.com/a/62556666/12236467.
My console output: