ComfyUI-KikoStats

ComfyUI-KikoStats

Real-time GPU and system resource monitoring for ComfyUI with per-node performance tracking.

✨ Features

• 📊 Real-time Resource Monitoring

  • GPU utilization, VRAM usage, temperature, and power draw
  • CPU usage and RAM statistics
  • Updates every second via WebSocket

• 🎯 Per-Node Performance Tracking (Unique Feature!)

  • Track CPU and GPU usage for each individual node
  • Measure execution time per node
  • Identify workflow bottlenecks
  • See which nodes consume the most resources

• 🎨 Clean, Integrated UI

  • Embedded monitoring display in the node
  • Expandable node performance list
  • Real-time updates without workflow execution
  • Professional dark theme design

• 🚀 Minimal Performance Impact

  • Thread-safe background monitoring (<0.5% CPU)
  • No impact on ComfyUI execution
  • Smart resource sampling

Installation

Method 1: Clone into ComfyUI custom nodes directory

cd ComfyUI/custom_nodes/
git clone https://github.com/ComfyAssets/ComfyUI-KikoStats.git
cd ComfyUI-KikoStats
pip install -r requirements.txt

Method 2: Manual installation

1. Download/copy the ComfyUI-KikoStats folder to your ComfyUI/custom_nodes/ directory
2. Install dependencies:

   pip install nvidia-ml-py psutil
   

Method 3: ComfyUI Manager

Coming soon - will be available through ComfyUI Manager

Usage

1. Restart ComfyUI after installation
2. In ComfyUI, add a new node and search for "Resource Monitor"
3. Find it under the ComfyAssets category
4. Click "Start Monitoring" button to see real-time stats
5. Run any workflow to see per-node performance data

Understanding the Display

Real-time Stats:

🖥️ GPU: 45%
VRAM: 1024MB / 24576MB
Temp: 37°C

💻 CPU: 12.5%
RAM: 3831MB / 64197MB

Per-Node Performance (after workflow execution):

📊 Node Performance
KSampler: 12.8% CPU, 87.3% GPU
          (15.7s)
VAE Decode: 15.2% CPU, 45.8% GPU
          (2.3s)
Load Checkpoint: 8.2% CPU, 12.1% GPU
          (1.2s)

Troubleshooting

Node doesn't appear in ComfyUI

1. Restart ComfyUI completely (most common fix)
2. Check ComfyUI console for error messages during startup
3. Verify the folder is in the correct location: ComfyUI/custom_nodes/ComfyUI-KikoStats/
4. Check that dependencies are installed: pip install nvidia-ml-py psutil

GPU monitoring shows "Not Available"

• Requires NVIDIA GPU with drivers installed
• Install nvidia-ml-py: pip install nvidia-ml-py
• Check that NVIDIA drivers are working: nvidia-smi

System monitoring shows "Not Available"

• Install psutil: pip install psutil

Node Reference

ResourceMonitor

Category: ComfyAssets
Inputs:

• update_interval (FLOAT): Monitoring refresh rate in seconds (0.1-60.0)
• display_mode (CHOICE): Output format - "text", "json", or "both"
• enable_gpu (BOOLEAN): Enable GPU monitoring (optional)
• enable_system (BOOLEAN): Enable system monitoring (optional)

Outputs:

• stats (STRING): Formatted monitoring statistics
• json_data (STRING): JSON data for chaining to other nodes

Requirements

• Core: Python 3.7+
• GPU Monitoring: nvidia-ml-py (for NVIDIA GPUs)
• System Monitoring: psutil
• ComfyUI: Compatible with recent versions

Performance

• CPU Overhead: <0.5% typical usage
• Memory: Minimal impact with circular buffers
• Thread Safety: Background monitoring doesn't block ComfyUI execution

What Makes KikoStats Different?

| Feature | KikoStats | Crystools | Elegant Monitor | | --------------------- | --------- | --------- | --------------- | | Real-time monitoring | ✅ | ✅ | ✅ | | Per-node tracking | ✅ | ❌ | ❌ | | GPU stats | ✅ | ✅ | ✅ | | CPU/RAM stats | ✅ | ✅ | ✅ | | Embedded UI | ✅ | ❌ | ✅ | | WebSocket updates | ✅ | ✅ | ❌ | | Execution timing | ✅ | ❌ | ❌ |

Development

License

MIT License - see LICENSE file for details.