ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development

Fuente: arXiv
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Autori principali: Xu, Zhenran, Yang, Xue, Wang, Yiyu, Hu, Qingli, Wu, Zijiao, Wang, Longyue, Luo, Weihua, Zhang, Kaifu, Hu, Baotian, Zhang, Min
Natura: Preprint
Pubblicazione: 2025
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author Xu, Zhenran
Yang, Xue
Wang, Yiyu
Hu, Qingli
Wu, Zijiao
Wang, Longyue
Luo, Weihua
Zhang, Kaifu
Hu, Baotian
Zhang, Min
author_facet Xu, Zhenran
Yang, Xue
Wang, Yiyu
Hu, Qingli
Wu, Zijiao
Wang, Longyue
Luo, Weihua
Zhang, Kaifu
Hu, Baotian
Zhang, Min
contents We introduce ComfyUI-Copilot, a large language model-powered plugin designed to enhance the usability and efficiency of ComfyUI, an open-source platform for AI-driven art creation. Despite its flexibility and user-friendly interface, ComfyUI can present challenges to newcomers, including limited documentation, model misconfigurations, and the complexity of workflow design. ComfyUI-Copilot addresses these challenges by offering intelligent node and model recommendations, along with automated one-click workflow construction. At its core, the system employs a hierarchical multi-agent framework comprising a central assistant agent for task delegation and specialized worker agents for different usages, supported by our curated ComfyUI knowledge bases to streamline debugging and deployment. We validate the effectiveness of ComfyUI-Copilot through both offline quantitative evaluations and online user feedback, showing that it accurately recommends nodes and accelerates workflow development. Additionally, use cases illustrate that ComfyUI-Copilot lowers entry barriers for beginners and enhances workflow efficiency for experienced users. The ComfyUI-Copilot installation package and a demo video are available at https://github.com/AIDC-AI/ComfyUI-Copilot.
format Preprint
id arxiv_https___arxiv_org_abs_2506_05010
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
Xu, Zhenran
Yang, Xue
Wang, Yiyu
Hu, Qingli
Wu, Zijiao
Wang, Longyue
Luo, Weihua
Zhang, Kaifu
Hu, Baotian
Zhang, Min
Computation and Language
Computer Vision and Pattern Recognition
We introduce ComfyUI-Copilot, a large language model-powered plugin designed to enhance the usability and efficiency of ComfyUI, an open-source platform for AI-driven art creation. Despite its flexibility and user-friendly interface, ComfyUI can present challenges to newcomers, including limited documentation, model misconfigurations, and the complexity of workflow design. ComfyUI-Copilot addresses these challenges by offering intelligent node and model recommendations, along with automated one-click workflow construction. At its core, the system employs a hierarchical multi-agent framework comprising a central assistant agent for task delegation and specialized worker agents for different usages, supported by our curated ComfyUI knowledge bases to streamline debugging and deployment. We validate the effectiveness of ComfyUI-Copilot through both offline quantitative evaluations and online user feedback, showing that it accurately recommends nodes and accelerates workflow development. Additionally, use cases illustrate that ComfyUI-Copilot lowers entry barriers for beginners and enhances workflow efficiency for experienced users. The ComfyUI-Copilot installation package and a demo video are available at https://github.com/AIDC-AI/ComfyUI-Copilot.
title ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
topic Computation and Language
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2506.05010