This is a bare bones and simple DDPM ([Denoising Diffusion Probabilistic Models](https://arxiv.org/abs/2006.11239)) implementation on PyTorch. The whole implementation (model + training + sampling) does not exceed 400 lines of code. The training setup and U-Net model loosely resemble the description of the original paper, but it is not a 1 to 1 implementation.
