Comfyui-Memory_Cleanup is a custom node designed for ComfyUI that enhances performance by providing memory cleanup functionalities. It enables users to optimize GPU and system memory usage, ensuring smoother operation during intensive tasks.
- Offers two specialized nodes for memory management: VRAM-Cleanup and RAM-Cleanup.
- Supports both Windows and Linux systems for comprehensive memory cleaning.
- Includes features for unloading models and cleaning caches, which can prevent memory leaks during extended use.
Context
This tool serves as a custom node within ComfyUI, focusing on memory optimization to enhance the application's performance. By providing mechanisms to clear both GPU and system memory, it aims to mitigate issues related to memory leaks and inefficiencies during prolonged usage.
Key Features & Benefits
The primary features of Comfyui-Memory_Cleanup include the VRAM-Cleanup node, which allows users to offload GPU memory by unloading models and clearing caches, and the RAM-Cleanup node, which helps free up system memory through various methods such as cleaning file caches and unused DLLs. These functionalities are crucial for maintaining optimal performance, especially during resource-intensive tasks.
Advanced Functionalities
The RAM-Cleanup node offers advanced capabilities such as cleaning process memory and allowing multiple retries for memory clearance operations. This flexibility ensures that users can effectively manage their system resources, reducing the chances of crashes or slowdowns during heavy workloads.
Practical Benefits
By integrating this tool into their workflows, users can significantly improve their control over memory usage within ComfyUI, leading to enhanced efficiency and quality in AI art generation. Regular memory cleanup can prevent potential performance degradation and system instability, particularly during extended sessions.
Credits/Acknowledgments
The Comfyui-Memory_Cleanup project is developed by LAOGOU-666, with contributions from the open-source community. It is available under an open-source license, encouraging collaboration and further enhancements.