ComfyUI ProfilerX

A performance profiling suite for ComfyUI that automatically tracks execution time, memory usage, and cache performance of your workflows.

Features

• 🔄 Real-time monitoring of workflow execution
• 📊 Memory usage tracking (VRAM and RAM)
• ⚡ Node execution time breakdown
• 💾 Cache hit/miss statistics
• 📈 Beautiful, interactive charts and tables
• 🎯 Zero configuration required
• 📱 Responsive UI that integrates with ComfyUI's interface
• 📊 Historical data tracking and analysis
• ⚙️ Time-range filtering for analytics
• 🔍 Sortable performance tables

Requirements

• ComfyUI (latest version)
• Python 3.8+
• CUDA-capable GPU (for VRAM monitoring)
• Modern web browser

Installation

Option 1: ComfyUI Manager (Recommended)

1. Install ComfyUI Manager
2. Use the Manager's interface to install "ComfyUI ProfilerX"
3. Restart ComfyUI

Option 2: Manual Installation

1. Clone this repository into your custom_nodes directory:

cd ComfyUI/custom_nodes
git clone https://github.com/ryanontheinside/ComfyUI_ProfilerX

2. Install the required Python package:

cd ComfyUI_ProfilerX
pip install -r requirements.txt

3. Restart ComfyUI

Usage

The profiler integrates directly into ComfyUI's interface:

1. After installation, you'll see a new performance monitoring panel in the top-right corner
2. Run your workflows as normal
3. The dashboard will automatically update with:
   • Total execution time
   • Peak memory usage (VRAM and RAM)
   • Cache performance metrics
   • Per-node execution time breakdown
   • Historical performance trends

The profiler runs automatically in the background, collecting data for every workflow execution. No additional configuration is needed.

Features in Detail

Real-time Monitoring

• Live execution time tracking
• Memory usage graphs (VRAM and RAM)
• Cache hit/miss counters
• Node-by-node progress tracking

Analytics Dashboard

• Historical performance trends
• Node execution time breakdown
• Memory usage patterns
• Cache efficiency analysis
• Time-range filtering
• Sortable performance tables

Data Management

• Automatic history tracking
• Data persistence between sessions
• Archive management
• Export capabilities

How it Works

ProfilerX integrates directly with ComfyUI's execution system to collect performance metrics:

• Execution time is measured for both individual nodes and the entire workflow
• Memory usage is tracked using torch.cuda for VRAM and psutil for RAM
• Cache performance is monitored by intercepting ComfyUI's caching system
• All data is collected automatically with minimal performance impact
• Historical data is stored locally for trend analysis

Execution Tracking

In addition to workflow profiling, this extension includes a detailed execution tracking system that monitors ComfyUI's internal method calls. This can be useful for:

• Understanding the execution flow of your workflows
• Identifying bottlenecks in specific operations
• Debugging performance issues
• Analyzing method call patterns and timing

Enabling Execution Tracking

By default, execution tracking is disabled. To enable it:

1. Open ComfyUI_ProfilerX/execution_core.py
2. Find the ENABLED flag at the top of the ExecutionTracker class:

class ExecutionTracker:
    _instance = None
    _lock = threading.Lock()
    ENABLED = False  # Change this to True to enable tracking

3. Change ENABLED = False to ENABLED = True
4. Restart ComfyUI

When enabled, the tracker will record detailed timing information for internal ComfyUI operations in ComfyUI_ProfilerX/data/method_traces.json.

Other Projects by RyanOnTheInside

Check out my other ComfyUI custom nodes:

• ComfyUI_RyanOnTheInside - Everything Reactivity
• ComfyUI_RealTimeNodes - Real-Time ComfyUI Use Cases

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

MIT License - feel free to use this in your own projects!