This repository is a modified/forked version of the Hugging Face Diffusers library with specific additions for RealRestorer, a generalizable real-world image restoration model. It provides pipelines for various image restoration tasks (blur removal, compression artifact removal, lens flare removal, moire removal, dehazing, low-light enhancement, denoising, rain removal, reflection removal), tools for synthesizing real-world degradations, benchmark evaluation capabilities, and standard diffusion model functionalities. The architecture follows a modular library structure with lazy loading patterns, standardized pipeline interfaces, and extensive training/inference utilities. Key entry points include CLI commands for export, inference, and degradation synthesis, along with server examples for deployment.