A residual block that can optionally change the number of channels. :param channels: the number of input channels. :param emb_channels:

A sequential module that passes timestep embeddings to the children that support it as an extra input.

An attention block that allows spatial positions to attend to each other. Originally ported from here, but adapted to the N-d case. http

A downsampling layer with an optional convolution. :param channels: channels in the inputs and outputs. :param use_conv: a bool determin

`Large-scale CelebFaces Attributes (CelebA) Dataset <http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html>`_ Dataset. Args: root (string): Ro

An upsampling layer with an optional convolution. :param channels: channels in the inputs and outputs. :param use_conv: a bool determini

Crops the given PIL Image on the long edge. Args: size (sequence or int): Desired output size of the crop. If size is an int i

A module which performs QKV attention and splits in a different order.

Adapted from CLIP: https://github.com/openai/CLIP/blob/main/clip/model.py

The half UNet model with attention and timestep embedding. For usage, see UNet.

`LSUN <https://www.yf.io/p/lsun>`_ dataset. Args: root (string): Root directory for the database files. classes (string or l

A module which performs QKV attention. Matches legacy QKVAttention + input/ouput heads shaping

A UNetModel that performs super-resolution. Expects an extra kwarg `low_res` to condition on a low-resolution image.

Dumps key/value pairs into TensorBoard's numeric format.

The full UNet model with attention and timestep embedding. :param in_channels: channels in the input Tensor. :param model_channels: base

A class replacing the SVD of a matrix H, perhaps efficiently. All input vectors are of shape (Batch, ...). All output vectors are of shap

Any module where forward() takes timestep embeddings as a second argument.