This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
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Visualization problem when training with multiple GPUs #33
Thanks for your codes!
When I train the model with multiple GPUs with net_model = torch.nn.DataParallel(net_model), images obtained from sampling are noise images. I load the model with model = torch.nn.DataParallel(model) model.load_state_dict(ckpt).
Has anyone encountered this problem?
Thanks for your codes! When I train the model with multiple GPUs with
net_model = torch.nn.DataParallel(net_model), images obtained from sampling are noise images. I load the model withmodel = torch.nn.DataParallel(model) model.load_state_dict(ckpt). Has anyone encountered this problem?