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ComfyUI-QHNodes

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Last updated
2025-06-22

ComfyUI-QHNodes is a collection of custom nodes developed for ComfyUI, designed to enhance functionality by providing preset dimensions for latent images, loading LoRA models from folders, and integrating multiple commonly used custom nodes. This tool aims to streamline the workflow for users by offering practical features tailored to everyday tasks in AI art generation.

  • Offers a variety of preset image sizes tailored for different applications, from social media to professional video production.
  • Facilitates the batch loading of LoRA models from specified folders, enabling efficient management of model assets.
  • Includes advanced nodes for JSON unpacking, image analysis, and dynamic expression execution, enhancing the versatility of ComfyUI.

Context

This tool serves as an extension for ComfyUI, enhancing its capabilities by adding a set of custom nodes that cater to specific needs in AI art workflows. Its primary purpose is to simplify and optimize various tasks, making it easier for users to manage image sizes and models effectively.

Key Features & Benefits

The tool includes several practical features such as preset size nodes that allow users to quickly select dimensions suitable for different outputs, from social media posts to high-resolution prints. Additionally, the Load LoRA from Folder node enables users to efficiently load multiple LoRA models, streamlining the model management process and reducing setup time.

Advanced Functionalities

Among its advanced capabilities, the tool features a JSON unpacker that extracts specified key values from JSON strings, supporting up to five keys for extraction. The Gemini image analysis node utilizes Google's Gemini model for image description and analysis, offering users detailed insights into their visual content. Furthermore, the dynamic expression node allows users to execute Python expressions on-the-fly, providing flexibility in data manipulation and processing.

Practical Benefits

By incorporating this tool into their workflow, users can significantly improve their efficiency and control over image generation processes in ComfyUI. The ability to batch load images and models, coupled with preset dimensions, allows for a more organized and streamlined approach to AI art creation, ultimately enhancing the quality and speed of output.

Credits/Acknowledgments

This repository was created by the original author, Liu Qianhong, and contributions from the community are acknowledged. The tool is open source, allowing users to modify and extend its functionalities as needed.