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ComfyUI-Dequality

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Last updated
2025-02-13

Add noise and JPEG artifacts to images processed in ComfyUI, enhancing the final output with realistic imperfections. This tool serves as a simple yet effective method for post-processing, allowing users to achieve a polished look in their AI-generated art.

  • Facilitates the addition of realistic noise and JPEG artifacts to images, enhancing their visual authenticity.
  • Streamlines the installation process by providing a straightforward GitHub publish of an existing Python script.
  • Developed from the original noise GUI concept, making it a useful extension for users looking to refine their images.

Context

This tool is an extension for ComfyUI that introduces noise and JPEG artifacts into images, primarily used during the final stages of image processing. It aims to add a layer of realism to AI-generated images, which can sometimes appear overly smooth or synthetic.

Key Features & Benefits

The primary feature of this tool is its ability to apply fine post-processing noise and JPEG artifacts, which can significantly improve the visual quality of images by mimicking the natural imperfections found in real-world photography. This adds depth and character to the images, making them more appealing and authentic.

Advanced Functionalities

While the tool is straightforward in its functionality, it leverages a previously developed noise GUI to achieve its effects. Users can customize the level of noise and artifacts, allowing for tailored adjustments based on their artistic vision.

Practical Benefits

By incorporating this tool into their workflow, users can enhance their control over the final image quality, resulting in a more polished and professional appearance. It simplifies the post-processing stage, enabling artists to focus on creativity rather than technical details.

Credits/Acknowledgments

The tool is based on a Python script originally created by Reddit user u/flobblobblob, with inspiration from the noise GUI developed by u/I_like_lips. The author of this GitHub publish has not modified the original work but has made it more accessible for users.