ATH-MaaS/ComfyUI-Copilot

What it solves

ComfyUI-Copilot 解決了在 ComfyUI 中構建 AI 影像生成工作流的複雜性與陡峭的學習曲線。它減少了工作流建立、除錯、參數優化與節點發現所需的開發手動操作，將過程從手動試錯的任務轉變為輔助開發體驗。

How it works

它直接整合於 ComfyUI 環境中，扮演一個智慧代理程式。透過利用 LLM 並感知用戶的本地環境，它可以從文字描述生成新的工作流，分析現有的畫布來偵測並修復錯誤，並根據用戶的建議進行工作流邏輯的重寫。它還包含一個 "GenLab"，用於批次執行參數組合以進行視覺化對比並尋找最佳設定。

Who it's for

它是為使用 ComfyUI 的 AIGC 創作者與 AI 藝術家設計的，對象範圍從需要協助生成第一個工作流的初學者，到希望自動化除錯並微調複雜參數配置的高階用戶。

Highlights

• Automated Workflow Generation: Creates tailored workflows from text prompts, providing both library-based and AI-generated options.
• One-Click Debugging: Automatically detects connection or parameter errors and suggests repairs, including prompts to download missing models.
• One-Click Debugging: Automatically detects connection or parameter errors and suggests repairs, including prompts to download missing models.
• Workflow Rewriting: Modifies existing workflows by adding nodes or adjusting logic based on natural language descriptions.
• Parameter Tuning (GenLab): Batch executes different parameter ranges to generate visual comparisons for optimization.
• Intelligent Recommendations: Suggests specific nodes, base models, LoRAs, and downstream subgraphs based on the current canvas context.

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Highlights

• Automated Workflow Generation: 從文字提示生成量身定制的工作流，提供基於庫與 AI 生成的選項。
• One-Click Debugging: 自動偵測連接或參數錯誤並建議修復，包括下載缺失模型的提示。
• Workflow Rewriting: 根據自然語言描述，透過增加節點或調整邏輯來修改現有的工作流。
• Parameter Tuning (GenLab): 批次執行不同的參數範圍，以生成視覺化對比進行優化。
• Intelligent Recommendations: 根據當前畫布上下文，建議特定的節點、基礎模型、LoRAs 與下游子圖。