norm_num_groups (int, optional, defaults to 32):
Number of groups for group normalization within Transformer blocks.
attention_bias (bool, optional, defaults to True):
Configure if the Transformer blocks' attention should contain a bias parameter.
sample_size (int, defaults to 32):
The width of the latent images. This parameter is fixed during training.
patch_size (int, defaults to 2):
Size of the patches the model processes, relevant for architectures working on non-sequential data.