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ComfyUI Copilot

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Basic Information

ComfyUI-Copilot is an AI-powered assistant extension for ComfyUI that helps users create, debug, optimize and iterate image-generation workflows. It is designed to be installed into ComfyUI's custom_nodes folder and activated from the ComfyUI interface. The project evolved into a workflow development coworker in v2.0, moving beyond guidance to autonomously perform development tasks such as generating initial workflows from text descriptions, rewriting existing canvases, debugging errors, and tuning parameters. The README describes features like one-click import of recommended workflows, an activation flow that uses an API key, and an agent architecture aware of the local ComfyUI environment. The repository is maintained under an MIT license and includes installation instructions that use git and pip to install dependencies. The target audience is ComfyUI users who want to streamline creative pipeline construction and reduce manual trial-and-error.

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App URL
https://github.com/AIDC-AI/ComfyUI-Copilot
Github Repository
https://github.com/AIDC-AI/ComfyUI-Copilot/blob/main/README.md

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App Details

Features
The README highlights a set of core capabilities in v2.0 including: automated workflow generation that returns multiple candidates (three library workflows plus one AI-generated) based on a textual prompt; one-click debug that detects workflow errors and suggests repairs; workflow rewriting that adjusts parameters, adds nodes and improves logic; parameter tuning via a GenLab tab that runs batched parameter sweeps and produces visual comparisons; node recommendation and explanation features that suggest nodes and describe usage, inputs and outputs; model and LoRA recommendations tailored to text requirements; downstream subgraph suggestions based on the current canvas; and UI elements for importing, debugging and querying nodes. The extension integrates with ComfyUI and provides an in-editor activation and API key mechanism.
Use Cases
ComfyUI-Copilot reduces the time and expertise needed to build and refine ComfyUI workflows by automating repetitive and error-prone steps. Users can generate starter workflows from simple descriptions, import them directly into the canvas, and run automatic debugging to identify and fix parameter or connection issues. The GenLab parameter tuning feature enables systematic exploration of parameter spaces with visual comparisons to find better settings quickly. Node and model recommendation tools help users discover useful components and appropriate models without manual searching. Workflow rewriting and downstream suggestions assist iteration and expansion of existing projects. Overall, the tool lowers the barrier for beginners while speeding iteration for experienced users, improving productivity in creative image-generation tasks.

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