ComfyUI-Copilot: Your Intelligent AI Assistant for Streamlined ComfyUI Workflows
This repository profile is provided by osrepos.com, an open source repository discovery platform.

Summary
ComfyUI-Copilot is an AI-powered custom node for ComfyUI, designed to automate and enhance workflow creation and management. It acts as an intelligent assistant, offering features like workflow generation, debugging, rewriting, and parameter tuning. This tool significantly streamlines the development and deployment of AI algorithms within ComfyUI, making creative processes more efficient.
Repository Information
Topics
Click on any tag to explore related repositories
Use at your own risk
OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.
Introduction
ComfyUI-Copilot is an intelligent AI assistant built as a custom node for ComfyUI, designed to significantly enhance workflow automation and provide intelligent assistance. Developed by AIDC-AI, this tool aims to streamline the often tedious processes of workflow building, debugging, parameter optimization, and iteration within the ComfyUI environment.
The recently released ComfyUI-Copilot v2.0 marks a major evolution, transforming the tool from a simple helper into a comprehensive development partner. This version introduces advanced capabilities such as One-Click Debugging, Workflow Rewriting, and Enhanced Workflow Generation, alongside an Upgraded Agent Architecture that understands your local ComfyUI environment for personalized solutions. It covers the entire workflow lifecycle, making creative workflows more efficient and effortless.
Installation
Getting started with ComfyUI-Copilot is straightforward. You can install it using either Git or the ComfyUI Manager.
Git Installation
- Navigate to your
ComfyUI/custom_nodesdirectory:cd ComfyUI/custom_nodes - Clone the repository:
git clone https://github.com/AIDC-AI/ComfyUI-Copilot.git - Install dependencies:
For Windows users, use:cd ComfyUI/custom_nodes/ComfyUI-Copilot pip install -r requirements.txtpython_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ComfyUI-Copilot\requirements.txt
ComfyUI Manager Installation
- Open ComfyUI Manager, go to Custom Nodes Manager.
- Search for "ComfyUI-Copilot" and click the install button. Remember to update to the latest version.
- Note: The Manager requires permissions, so running ComfyUI with
sudo python main.pyis recommended to prevent errors. If issues arise, consider deleting the folder, uninstalling, and reinstalling, or using the git method.
- Note: The Manager requires permissions, so running ComfyUI with
Activation and API Key
After installation and running ComfyUI:
- Find the Copilot activation button on the left side panel to launch its service.
- Click the
*button, enter your email address in the popup, and an API Key will be sent to you. - Paste the received API Key into the input box and click save to activate Copilot.
Examples
ComfyUI-Copilot v2.0 offers a suite of powerful features to assist your workflow development:
- Generate First Version Workflow: Describe your needs, and Copilot provides up to three high-quality workflows from its library, plus one AI-generated workflow, ready for one-click import into ComfyUI.
- Workflow Debug: Automatically analyzes workflow errors, fixes parameter and connection issues, and offers optimization suggestions. It can even prompt you to download missing models.
- Workflow Rewriting: Optimize your current workflow based on your descriptions, such as adjusting parameters, adding nodes, or improving logic.
- Parameter Tuning (GenLab): Access the GenLab tab to set parameter ranges. The system will batch execute different combinations, generating visual comparison results to help you find optimal configurations quickly.
- Node Recommendations: Based on your description, Copilot recommends relevant nodes and explains why they are suitable.
- Node Query System: Select a node on the canvas and use the query button to explore its description, parameter definitions, usage tips, and downstream workflow recommendations.
- Model Recommendations: Copilot helps you find suitable base models and LoRAs based on your text requirements.
- Downstream Node Recommendations: After selecting a node, Copilot recommends potential downstream subgraphs based on your existing canvas.
Why Use ComfyUI-Copilot?
ComfyUI-Copilot transforms the way you interact with ComfyUI by providing an intelligent, automated assistant. It significantly reduces the time and effort spent on manual workflow creation, debugging, and optimization. For beginners, it lowers the barrier to entry by generating tailored workflows, while experienced users benefit from advanced debugging, rewriting, and parameter tuning capabilities. By integrating an AI agent that understands your local environment, ComfyUI-Copilot delivers personalized and efficient solutions, allowing you to focus more on creativity and less on technical hurdles.
Links
- GitHub Repository: https://github.com/AIDC-AI/ComfyUI-Copilot
- Discord Community: https://discord.gg/rb36gWG9Se
- Paper (ACL2025): https://aclanthology.org/2025.acl-demo.61.pdf
- Contact Email: ComfyUI-Copilot@service.alibaba.com
Related repositories
Similar repositories that may be relevant next.
OpenMontage: The First Open-Source, Agentic Video Production System
June 29, 2026
OpenMontage is the world's first open-source, agentic video production system, designed to transform your AI coding assistant into a full video production studio. It features 12 pipelines, 52 tools, and over 500 agent skills, enabling end-to-end video creation from a simple prompt. This powerful tool handles research, scripting, asset generation, editing, and final composition, including the unique ability to produce real video from stock footage.

Guardrails: Enhancing LLM Reliability and Structured Data Generation
June 26, 2026
Guardrails is a Python framework designed to build reliable AI applications by adding guardrails to large language models. It helps detect, quantify, and mitigate risks in LLM inputs/outputs, and facilitates the generation of structured data. This framework ensures more predictable and safer interactions with AI models.

OpenPencil: The AI-Native, Open-Source Figma Alternative Design Editor
June 21, 2026
OpenPencil is an innovative AI-native design editor, serving as a powerful open-source alternative to Figma. It supports .fig files, integrates AI for design creation, and provides a fully programmable toolkit with a headless Vue SDK. This project emphasizes real-time collaboration and local data control, making it a compelling choice for designers and developers seeking flexibility and ownership.
REAL Video Enhancer: AI-Powered Video Interpolation, Upscaling, and Denoising
June 19, 2026
REAL Video Enhancer is a powerful open-source application designed to enhance video quality across Linux, Windows, and macOS. It leverages AI models for advanced video processing tasks such as frame interpolation, upscaling, decompression, and denoising. This tool provides a modern alternative to older software, making high-quality video enhancement accessible to a wider audience.
Source repository
Open the original repository on GitHub.