tiny-diffusion A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets. Get started by running python ddpm.py -h to explore the available options for training. Forward process A visualization of the forward diffusion process being applied to a dataset of one thousand 2D points. Note that the dinosaur is not a single training example, it represents each 2D point in the dataset. Reverse process This illustration shows how the reverse process recovers the distribution of ...