ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
Zhenran Xu, Xue Yang, Yiyu Wang, Qingli Hu, Zijiao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, Min Zhang

TL;DR
ComfyUI-Copilot is an AI-powered plugin that simplifies and accelerates workflow creation in ComfyUI, making it more accessible for beginners and efficient for experienced users through intelligent recommendations and automation.
Contribution
It introduces a hierarchical multi-agent framework for intelligent assistance in ComfyUI, integrating knowledge bases for improved usability and debugging.
Findings
Accurately recommends nodes and models for workflows.
Speeds up workflow development process.
Reduces entry barriers for new users.
Abstract
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…
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Taxonomy
TopicsMachine Learning in Materials Science · Scientific Computing and Data Management · Generative Adversarial Networks and Image Synthesis
