HYPIR is an image restoration method that leverages priors extracted from pretrained diffusion models to guide the restoration process. The approach uses the score function from diffusion models as a prior to help reconstruct high-quality images from degraded inputs. It supports image super-resolution and general image restoration tasks, with pretrained weights available for inference.