This repository provides an unofficial implementation of the SR3 paper, using diffusion probabilistic models (DDPM) for single-image super-resolution. The model can upscale images such as 64x64 to 512x512 or 16x16 to 128x128 using a learned reverse diffusion process. It includes training pipelines with multi-GPU support, evaluation metrics, and pretrained model checkpoints.