🎯 ComfyUI-Copilot: Your Intelligent Assistant for ComfyUI

👾 _Alibaba International Digital Commerce_ 👾

🔥 Core Features (V2.0.0)

1. 💎 Generate First Version Workflow: Based on your text description, we provide workflows that meet your needs, returning 3 high-quality workflows from our library and 1 AI-generated workflow. You can import them into ComfyUI with one click to start generating images.

Simply type in the input box: I want a workflow for xxx.

2. 💎 Workflow Debug: Automatically analyze errors in workflows, help you fix parameter errors and workflow connection errors, and provide optimization suggestions.

Among the 4 workflows returned above, when you select one and click Accept, it will be imported into the ComfyUI canvas. At this time, you can click the Debug button to start debugging.

There is a Debug button in the upper right corner of the input box. Click it to directly debug the workflow on the current canvas.

If a missing model is identified, it will automatically prompt you to download the model.

You can also directly click the Model Download button below, enter the model keyword, and select the required model from the recommended models.

3. 💎 Unsatisfied with Previous Workflow Results?: Tell us what you’re not satisfied with, and let us help you modify the workflow, add nodes, modify parameters, and optimize workflow structure.

Type in the input box: Help me add xxx to the current canvas.

Note: If the model is new after May 2025, such as wan2.2, it may cause the LLM to fail to understand and the process to interrupt. You can try adding expert experience to help the LLM better generate workflows.

The workflow rewrite is difficult, and it carries a lot of context, so you need to control the context length, otherwise it is easy to interrupt. It is recommended to often click the Clear Context button in the upper right corner to control the conversation length.

4. 💎 Parameter Tuning Too Painful?: We provide parameter tuning tools. You can set parameter ranges, and the system will automatically batch execute different parameter combinations and generate visual comparison results to help you quickly find the optimal parameter configuration.

Switch to the GenLab tab and follow the guidance. Note that the workflow must be able to run normally at this time to batch generate and evaluate parameters.

Want ComfyUI-Copilot to assist you in workflow development?

5. 💎 Node Recommendations: Based on your description, recommend nodes you might need and provide recommendation reasons.

Type in the input box: I want a node for xxx.

6. 💎 Node Query System: Select a node on the canvas, click the node query button to explore the node in depth, view its description, parameter definitions, usage tips, and downstream workflow recommendations.

Type in the input box: What’s the usage, input and output of node xxx.

7. 💎 Model Recommendations: Based on your text requirements, Copilot helps you find base models and ‘lora’.

Type in the input box: I want a Lora that generates xxx images.

8. 💎 Downstream Node Recommendations: After you select a node on the canvas, based on the existing nodes on your canvas, recommend downstream subgraphs you might need.

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🚀 Getting Started

Repository Overview: Visit the GitHub Repository to access the complete codebase.

Installation

Firstly, use git to install ComfyUI-Copilot in the ComfyUI custom_nodes directory:

“`bash

cd ComfyUI/custom_nodes

git clone git@github.com:AIDC-AI/ComfyUI-Copilot.git

“`

or

“`bash

cd ComfyUI/custom_nodes

git clone https://github.com/AIDC-AI/ComfyUI-Copilot

“`

Secondely, in the ComfyUI custom_nodes directory, find the ComfyUI-Copilot directory and install ComfyUI-Copilot dependencies

“`bash

cd ComfyUI/custom_nodes/ComfyUI-Copilot

pip install -r requirements.txt

“`

If you are a Windows user:

“`bash

python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ComfyUI-Copilot\requirements.txt

“`

Using ComfyUI Manager: Open ComfyUI Manager, click on Custom Nodes Manager, search for ComfyUI-Copilot, and click the install button, remember to update the ComfyUI-Copilot to the latest version.

The Manager requires permissions. To prevent errors during execution, it’s recommended to run ComfyUI with “sudo python main.py”.

If you encounter an error during the update, try to delete the folder or click uninstall and then reinstall.

If an error occurs during execution, it’s recommended to use the bottom panel button in the upper right corner to trigger the Manager to install ComfyUI-Copilot. An error log will appear below. Take a screenshot and post it to your git issue.

Using the Manager installation method is prone to bugs, so it’s recommended to use the git installation method above.

Activation

After running the ComfyUI project, find the Copilot activation button on the left side of the panel to launch its service.

API Key Generation

Click the * button, enter your email address in the popup window, and the API Key will be automatically sent to your email address later. After receiving the API Key, paste it into the input box, click the save button, and you can activate Copilot.

Config your model(OpenAI/LMStudio)

Click the * button，config chat model and workflow generate model seperately.

Note：

This project is continuously updated. Please update to the latest code to get new features. You can use git pull to get the latest code, or click “Update” in the ComfyUI Manager plugin.

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