The ComfyUI-SUPIR project is a ComfyUI integration of the SUPIR model, which is designed for high-quality image restoration and super-resolution. It enables users to enhance low-resolution or degraded images using advanced diffusion-based techniques. The integration provides nodes that allow users to control parameters such as noise levels, guidance strength, and output quality. It is particularly useful for workflows that require upscaling or restoring images before further processing. The project leverages modern generative models to produce sharp, detailed outputs while preserving the original structure of the image. It can be combined with other ComfyUI nodes for tasks such as stylization or animation. The system is designed to balance quality and performance, making it suitable for both experimentation and production use. Overall, it brings state-of-the-art image enhancement capabilities into the ComfyUI ecosystem.

Features

  • Integration of SUPIR model for image restoration
  • High-quality super-resolution and detail enhancement
  • Adjustable parameters for noise and guidance control
  • Compatibility with broader ComfyUI workflows
  • Support for preprocessing images before generation tasks
  • Efficient performance for high-resolution outputs

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Additional Project Details

Programming Language

Python

Related Categories

Python User Interface (UI) Software

Registered

2026-04-16