ComfyUI Node: Free Memory (Image)

Free Memory (Image):

The FreeMemoryImage node is designed to help manage memory usage efficiently when working with images in AI art generation workflows. Its primary purpose is to free up GPU VRAM and system RAM, ensuring that your system has enough resources to handle intensive image processing tasks. By integrating this node into your workflow, you can optimize memory usage, potentially preventing crashes or slowdowns caused by insufficient memory. The node offers a method to release memory resources, which can be particularly beneficial when working with large images or multiple image processing tasks. This functionality is crucial for maintaining smooth performance and maximizing the capabilities of your hardware during creative processes.

Free Memory (Image) Input Parameters:

image

The image parameter represents the image data that you are working with. This input is essential as it allows the node to identify which image's memory resources need to be managed. The parameter does not have specific minimum or maximum values, as it is dependent on the image data being processed. The node will return the same image after attempting to free memory, ensuring that your workflow remains uninterrupted.

aggressive

The aggressive parameter is a boolean option that determines the level of memory freeing actions taken by the node. When set to True, the node will perform more extensive memory clearing operations, which may include unloading models and clearing caches more thoroughly. This can be useful when you need to free up a significant amount of memory quickly. The default value is False, which means the node will perform standard memory freeing operations that are less intensive. This parameter allows you to balance between performance and resource availability based on your specific needs.

Free Memory (Image) Output Parameters:

IMAGE

The output parameter IMAGE is the same image that was input into the node. This ensures that the image data remains available for subsequent processing steps in your workflow. The primary function of this output is to maintain continuity in your workflow while the node manages memory resources. By returning the image, the node allows you to seamlessly integrate memory management into your image processing tasks without disrupting the flow of data.

Free Memory (Image) Usage Tips:

• Use the aggressive parameter when working with very large images or when your system is running low on memory to ensure optimal performance.
• Integrate the FreeMemoryImage node at points in your workflow where memory usage peaks, such as after loading large models or processing multiple images, to maintain system stability.

Free Memory (Image) Common Errors and Solutions:

CUDA is not available. No GPU VRAM to free.

• Explanation: This error occurs when the node attempts to free GPU memory, but no CUDA-enabled GPU is detected on your system.
• Solution: Ensure that your system has a CUDA-compatible GPU and that the necessary drivers and CUDA toolkit are installed. If you are using a CPU-only setup, consider adjusting your workflow to accommodate the available resources.

Failed to clear system caches on Linux

• Explanation: This error indicates that the node attempted to clear system caches on a Linux system but encountered an issue.
• Solution: Check your system permissions to ensure that the node has the necessary rights to execute cache-clearing commands. You may need to run your application with elevated privileges or adjust system settings to allow cache clearing.