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.
- Navigate to your ComfyUI custom nodes directory
- Clone this repository or download and extract the zip file into a new directory named
Kurdknight_comfycheck
- Restart ComfyUI
That's it! No additional setup needed.
- In ComfyUI, find the node under "utils" category named "System Check"
- The node has one input parameter:
check_type
: Choose between "BASIC" or "DETAILED" information output
- Connect the output to any node that accepts a STRING input, or use a "Print" node to view the information
- 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
- 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
- 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
- ComfyUI
- torch
- psutil
- Works on both Windows and Linux
- Automatically detects and shows relevant information for your system
- Proper handling of platform-specific features