Architecture of the U-Net building block, including group normalization (GN), sigmoid linear unit (SiLU), and convolutional layers. Conditioning information is embedded through a Gaussian error linear unit (GELU) layer and a subsequent fully connected network (FCN). Variable elements are colored as in Fig. C.1. The first 3 × 3 convolution is always included; only the change in channel dimensions is optional.