@inproceedings{xu-etal-2025-comfyui,
title = "{C}omfy{UI}-Copilot: An Intelligent Assistant for Automated Workflow Development",
author = "Xu, Zhenran and
Yang, Xue and
Wang, Yiyu and
Hu, Qingli and
Wu, Zijiao and
Wang, Longyue and
Luo, Weihua and
Zhang, Kaifu and
Hu, Baotian and
Zhang, Min",
editor = "Mishra, Pushkar and
Muresan, Smaranda and
Yu, Tao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-demo.61/",
doi = "10.18653/v1/2025.acl-demo.61",
pages = "632--643",
ISBN = "979-8-89176-253-4",
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 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."
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<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 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.</abstract>
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%0 Conference Proceedings
%T ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
%A Xu, Zhenran
%A Yang, Xue
%A Wang, Yiyu
%A Hu, Qingli
%A Wu, Zijiao
%A Wang, Longyue
%A Luo, Weihua
%A Zhang, Kaifu
%A Hu, Baotian
%A Zhang, Min
%Y Mishra, Pushkar
%Y Muresan, Smaranda
%Y Yu, Tao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-253-4
%F xu-etal-2025-comfyui
%X 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.
%R 10.18653/v1/2025.acl-demo.61
%U https://aclanthology.org/2025.acl-demo.61/
%U https://doi.org/10.18653/v1/2025.acl-demo.61
%P 632-643
Markdown (Informal)
[ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development](https://aclanthology.org/2025.acl-demo.61/) (Xu et al., ACL 2025)
ACL
- Zhenran Xu, Xue Yang, Yiyu Wang, Qingli Hu, Zijiao Wu, Longyue Wang, Weihua Luo, Kaifu Zhang, Baotian Hu, and Min Zhang. 2025. ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 632–643, Vienna, Austria. Association for Computational Linguistics.