norm_num_groups (int, optional, defaults to 32):
Number of groups for group normalization within Transformer blocks.
cross_attention_dim (int, optional):
The dimensionality for cross-attention layers, typically matching the encoder's hidden dimension.
attention_bias (bool, optional, defaults to True):
Configure if the Transformer blocks' attention should contain a bias parameter.
sample_size (int, defaults to 128):
The width of the latent images. This parameter is fixed during training.