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                                            JantineD

k_heun, k_lms and other samplers

Is there already a way to change the sampler?

Recent change to train_dreambooth causing CUDNN_STATUS_INTERNAL_ERROR (WSL install)

I'm having this exact same problem: import torch torch.backends.cuda.matmul.allow_tf32 = False torch.backends.cudnn.benchmark = True torch.backends.cudnn.deterministic = False torch.backends.cudnn.allow_tf32 = True data = torch.randn([2, 320, 64, 64], dtype=torch.half, device='cuda', requires_grad=True) net...