xmvlad

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help ! RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 10.92 GiB total capacity; 8.62 GiB already allocated; 1.39 GiB free; 8.81 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

Have same issue on GPU with 12GB VRAM. Just turned model to float16 precision. scripts/txt2img.py, function - load_model_from_config, line - 63, change from: model.cuda() to model.cuda().half()

help ! RuntimeError: CUDA out of memory. Tried to allocate 1.50 GiB (GPU 0; 10.92 GiB total capacity; 8.62 GiB already allocated; 1.39 GiB free; 8.81 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

> would you say the quality had been reduced a lot? No, results was almost the same(checked some prompts from web).

possible performance improvement

Thanks for you article about performance optimization with Rust! From pure data science viewpoint it can be solved following way: for each user create feature vector F_X -> {0,1} if...