Floyo
Floyo
Workflows
API
Pricing
Floyo
Floyo
Workflows
API
Pricing
Last updated
2026-04-07

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Standalone integration for ComfyUI, ComfyUI-RealRestorer enables users to leverage the RealRestorer image restoration model without the need for a patched version of the diffusers library. This tool is designed to facilitate high-quality image restoration tasks within the ComfyUI environment, maintaining compatibility and stability.

  • Provides a self-contained implementation of the RealRestorer model, eliminating dependency issues with existing ComfyUI setups.
  • Offers flexible VRAM management strategies, allowing users to optimize performance based on their hardware capabilities.
  • Features a user-friendly node interface that simplifies the process of selecting restoration tasks and managing model parameters.

Context

ComfyUI-RealRestorer is a dedicated node pack that integrates the RealRestorer image restoration model into the ComfyUI framework. Its primary purpose is to allow users to perform advanced image restoration tasks efficiently while avoiding complications that arise from using modified libraries.

Key Features & Benefits

This tool includes a RealRestorer Model Loader that automatically detects valid model bundles, providing flexibility in model management. Additionally, the RealRestorer Sampler offers a range of settings, including task presets and adjustable parameters like guidance scale and processing resolution, which are crucial for tailoring restoration outputs to specific needs.

Advanced Functionalities

ComfyUI-RealRestorer supports multiple VRAM usage strategies, such as full GPU utilization, offloading to CPU, and sequential offloading. The sequential offload feature is particularly noteworthy as it allows users with limited VRAM to effectively run the model by streaming transformer blocks in a way that maximizes performance without overwhelming the GPU memory.

Practical Benefits

By integrating RealRestorer into ComfyUI, this tool enhances workflow efficiency and provides users with greater control over image restoration processes. It significantly improves the quality of restored images while ensuring that users can work within their hardware limitations, thus optimizing the overall user experience in ComfyUI.

Credits/Acknowledgments

The development of ComfyUI-RealRestorer acknowledges the contributions of the original RealRestorer authors and the supporting community, particularly CCP6. The project is built on the foundations laid by the official RealRestorer repository and its associated resources, including the academic paper and Hugging Face model.

Inner Nodes

RealRestorerModelLoader
RealRestorerSampler

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