glucauze
commented
1 year ago The extension uses RAM, not VRAM. I don't think this is directly related to its use. Unless you use a lot of upscaling or inpainting. If you use inpainting in batch mode and the images are very large then it's possible that it takes up VRAM linked to inpainting.
For the workflow, there's already documentation, but it's true that there could be a more detailed methodology. I don't have much time to write this at the moment.
I have 12Gb VRAM, i use medvram and xformers.
i get this error: OutOfMemoryError: CUDA out of memory. Tried to allocate 11.39 GiB (GPU 0; 12.00 GiB total capacity; 14.32 GiB already allocated; 0 bytes free; 14.55 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 Time taken: 3m 56.40sTorch active/reserved: 14769/15466 MiB, Sys VRAM: 12288/12288 MiB (100.0%)
Is 12gb Vram (rtx 3060) and 16 ram not enough to run this extension?
And it would be awesome if there would be some kind of workflow or tutorial as i cant anything like this...
Thank you for any help and your work