ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
Fuente:
arXiv
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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915328120848384 |
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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 |