Glossary
Noise
UNet
- GroupNorm applies group normalization to the inputs of each block
- Dropout layers for smoother training
- Multiple resnet layers per block (if layers_per_block isn't set to 1)
- Attention (usually used only at lower resolution blocks)
- Conditioning on the timestep.
- Downsampling and upsampling blocks with learnable parameters