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Image Metadata Nodes

7

Last updated
2025-05-01

This repository provides specialized nodes for ComfyUI that facilitate the loading and saving of images while maintaining their original metadata. This functionality is particularly beneficial for workflows involving image modifications, such as upscaling, where preserving metadata is crucial.

  • Supports PNG format, ensuring metadata is embedded directly in the file.
  • Offers an optional mask output from the loader for enhanced workflow flexibility.
  • Allows dynamic naming of files and directories using time and date placeholders for better organization.

Context

The ComfyUI Image Metadata Nodes are designed to enhance the functionality of ComfyUI by allowing users to seamlessly load images with their metadata and save modified images while preserving this metadata. These nodes are essential for users who need to manage image data accurately throughout their creative processes.

Key Features & Benefits

The key features of this tool include the Image Metadata Loader, which extracts metadata from the loaded image, and the Image Metadata Saver, which saves the image with its original metadata intact. This ensures that users can perform modifications without losing critical information, making it easier to maintain the integrity of their image data.

Advanced Functionalities

The nodes provide advanced capabilities such as an optional mask output from the loader, which can be used in various workflows. Additionally, the dynamic pathing feature allows users to utilize placeholders to automatically create organized file names and directories based on the current date and time, streamlining the file management process.

Practical Benefits

By incorporating these nodes into their workflows, users can significantly enhance their control over image data, ensuring that metadata is preserved during modifications. This leads to improved efficiency and quality in image processing tasks, making it easier to manage and retrieve images with their relevant information intact.

Credits/Acknowledgments

This project was created by Light-x02 and is available under an open-source license. Contributions and feedback are encouraged, as the developer welcomes improvements and bug reports through the GitHub repository.