This repository implements a novel diffusion-based super-resolution method that constructs a Markov chain to transfer between high-resolution and low-resolution images through residual shifting, substantially improving transition efficiency. It includes a custom noise schedule for controlling shifting speed and noise strength during the diffusion process. The work achieved NeurIPS 2023 Spotlight and TPAMI 2024 publication, with code, pre-trained models, and Google Colab support.