s to 32) — Sample input size.   norm_num_groups (int, optional, defaults to 32) —
Number of groups to use for the first normalization layer in ResNet blocks.   scaling_factor (float, optional, defaults to 0.18215) —
The component-wise standard deviation of the trained latent space computed using the first batch of the
training set. This is used to scale the latent space to have unit variance when training the diffusion
model. The latents are sc