A performance profiling tool designed for ComfyUI that automatically measures execution time, memory consumption, and caching efficiency of workflows. It provides users with real-time insights and historical data to identify performance bottlenecks and optimize their workflows.
- Real-time performance metrics including execution time and memory usage tracking.
- Interactive dashboards for visualizing trends and performance statistics.
- Zero configuration required, making it easy to integrate into existing ComfyUI setups.
Context
This tool, known as ComfyUI ProfilerX, serves as a comprehensive performance profiling suite for ComfyUI users. Its primary goal is to assist in identifying inefficiencies in workflows by tracking key performance indicators such as execution time and memory usage.
Key Features & Benefits
ProfilerX offers a variety of practical features that enhance the user experience. The tool provides real-time monitoring of workflow execution, allowing users to see immediate metrics such as peak memory usage and execution time per node. Its interactive charts and tables make it easy to analyze performance data, while the absence of configuration requirements simplifies the setup process.
Advanced Functionalities
In addition to basic performance tracking, ProfilerX includes advanced capabilities such as historical data tracking and execution tracking. Users can analyze performance trends over time and enable detailed execution tracking to uncover specific bottlenecks within their workflows. This feature allows for a deeper understanding of the internal workings of ComfyUI's execution system.
Practical Benefits
By integrating ProfilerX into their workflows, users can significantly enhance their control over performance metrics, leading to improved workflow efficiency and quality. The ability to visualize and analyze performance data helps users make informed decisions, ultimately resulting in faster and more efficient image generation processes.
Credits/Acknowledgments
The tool was developed by RyanOnTheInside, and it is open-source under the MIT License, allowing for community contributions and modifications. Users are encouraged to engage with the project and contribute to its ongoing development.