ised image cannot be masked. Convert input (classes of latent pixels) to embeddings and apply positional embeddings. Apply the Transformer blocks in the standard way. Predict classes of unnoised image.  Transformer2DModel  class diffusers.Transformer2DModel  < source > ( num_attention_heads: int = 16 attention_head_dim: int = 88 in_channels: Optional = None out_channels: Optional = None num_layers: int = 1 dropout: float = 0.0 norm_num_groups: 