2. Apply the Transformer blocks in the standard way.
3. Reshape to image.  
When the input is **discrete**:  
<Tip>  
It is assumed one of the input classes is the masked latent pixel. The predicted classes of the unnoised image don't contain a prediction for the masked pixel because the unnoised image cannot be masked.  
</Tip>  
1. Convert input (classes of latent pixels) to embeddings and apply positional embeddings.
2. Apply the Transformer blocks in the standard way.