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HFDownLoad Node for ComfyUI

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Last updated
2024-07-18

A Hugging Face download tool designed for ComfyUI, this utility streamlines the process of obtaining models that may not automatically download, thereby enhancing user convenience. It offers several modifications to improve functionality and supports various features to optimize workflows.

  • Supports subdirectory options for organized downloads.
  • Allows the use of absolute paths for file management.
  • Enables the addition of custom proxies for enhanced connectivity.

Context

This tool serves as a modification of the original ComfyUI Pipeline Tool, specifically tailored for downloading models from Hugging Face. Its primary purpose is to facilitate the acquisition of models that are not provided with automatic download options, making it easier for users to manage their resources.

Key Features & Benefits

The tool boasts several practical features, including support for subdirectories, which helps users maintain an organized file structure. The capability to use absolute paths allows for greater flexibility in file management, while the option to add custom proxies ensures that users can navigate network restrictions effectively.

Advanced Functionalities

In addition to its core features, the tool incorporates several advanced nodes to enhance batch processing speed. These include EasyOCR V2, Lama V2, and SegmentAnythingUltra V2.1, which not only improve performance but also address specific issues, such as bugs that may interrupt batch image processing.

Practical Benefits

Utilizing this tool significantly improves workflow efficiency in ComfyUI by automating model downloads and providing robust file management options. Users gain enhanced control over their resources, leading to a more streamlined and effective creative process.

Credits/Acknowledgments

This tool is forked from the original work by smthemex and has been modified for user convenience. Contributions from various GitHub repositories, including those for EasyOCR, Lama, and SegmentAnything, have also been acknowledged.