DiffBIR is a computer vision method that uses a generative diffusion model as a prior to perform blind image restoration across multiple degradation types. The approach treats image restoration as a conditional generation task using a diffusion model, enabling high-quality recovery of real-world degraded images without explicit degradation estimation. It supports training, inference, and pretrained model downloads for tasks like denoising and super-resolution.