YAML Metadata Warning: empty or missing yaml metadata in repo card
Check out the documentation for more information.
num_epochs = 15000 gradient_accumulation_steps = 1 learning_rate = 7e-5 lr_warmup_steps = 500
[ transforms.Resize((config.image_size, config.image_size)), transforms.RandomRotation(30), transforms.RandomHorizontalFlip(), transforms.RandomVerticalFlip(), transforms.ToTensor(), transforms.Normalize([0.5], [0.5]), ]
sample_size=config.image_size, # the target image resolution in_channels=3, # the number of input channels, 3 for RGB images out_channels=3, # the number of output channels layers_per_block=2, # how many ResNet layers to use per UNet block block_out_channels=(128, 128, 256, 256, 512, 512), # the number of output channels for each UNet block down_block_types=( "DownBlock2D", # a regular ResNet downsampling block "DownBlock2D", "DownBlock2D", "DownBlock2D", "AttnDownBlock2D", # a ResNet downsampling block with spatial self-attention "DownBlock2D", ),