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ComfyUI Extension: KurdKnight ComfyUI System Check Node

Authored by Kurdknight

Created

Updated

4 stars

A comprehensive system information node for ComfyUI that provides detailed information about your system, GPU, CUDA, and AI libraries configuration. Works on both Windows and Linux systems.

Custom Nodes (2)

README

KurdKnight ComfyUI System Check Node

A comprehensive system information node for ComfyUI that provides detailed information about your system, GPU, CUDA, and AI libraries configuration. Works on both Windows and Linux systems. alt text

Installation

  1. Navigate to your ComfyUI custom nodes directory
  2. Clone this repository or download and extract the zip file into a new directory named Kurdknight_comfycheck
  3. Restart ComfyUI

That's it! No additional setup needed.

Usage

As a Node

  1. In ComfyUI, find the node under "utils" category named "System Check"
  2. The node has one input parameter:
    • check_type: Choose between "BASIC" or "DETAILED" information output
  3. Connect the output to any node that accepts a STRING input, or use a "Print" node to view the information

Quick Access

  • Click the "System Check" button in the ComfyUI menu
  • View information in a nice dialog with:
    • Color-coded status indicators
    • Save report functionality
    • Refresh button to update information

Features

Basic Check Includes:

  • System Information:
    • OS Details (Windows/Linux)
    • Platform Information
    • Machine Architecture
  • Python Environment:
    • Python Version and Implementation
    • Python Compiler
    • Python Path
    • Pip Version
    • Conda Status
  • GPU Information:
    • GPU Name and Model
    • VRAM Usage and Capacity
  • CUDA Configuration
  • AI Libraries Status:
    • Triton
    • xFormers
    • Flash Attention
  • SDPA Settings

Detailed Check Adds:

  • Python Detailed Configuration:
    • Build Information
    • Site Packages Locations
    • Python Path Details
  • PyTorch Configuration:
    • Debug Mode
    • OpenMP/MKL Status
    • MAGMA Status
  • Detailed CUDA Properties:
    • Device Capabilities
    • Memory Information
    • Thread Limits
  • Additional AI Libraries:
    • Core ML/DL: numpy, scipy, pandas
    • Vision: opencv-python, pillow
    • Deep Learning: transformers, diffusers
    • Utilities: einops, safetensors
  • Face and Vision Libraries:
    • Face Analysis: insightface, dlib, mediapipe
    • Face Recognition Libraries
    • Vision Processing Tools
  • System Resources:
    • Memory Usage
    • CPU Information
    • Environment Variables

Requirements

  • ComfyUI
  • torch
  • psutil

Cross-Platform Support

  • Works on both Windows and Linux
  • Automatically detects and shows relevant information for your system
  • Proper handling of platform-specific features