ComfyUI Node: 🧹 Free VRAM hack

🧹 Free VRAM hack:

The Bjornulf_FreeVRAM node is designed to optimize the performance of your AI art generation process by managing and freeing up the Video RAM (VRAM) resources on your GPU. This node is particularly useful when working with resource-intensive tasks that require significant GPU memory, such as rendering high-resolution images or running complex models. By clearing the CUDA cache and performing garbage collection, the node helps to release unused memory, ensuring that your GPU can handle new tasks more efficiently. Additionally, it triggers an HTTP request to a local server, which can be part of a larger workflow or system integration. This functionality is crucial for maintaining smooth operations and preventing memory-related bottlenecks during your creative processes.

🧹 Free VRAM hack Input Parameters:

anything

The anything parameter serves as a placeholder for any input data you wish to pass through the node. It does not directly affect the VRAM freeing process but allows the node to be integrated seamlessly into a larger workflow without disrupting the data flow. This parameter can accept any type of data, and its primary function is to ensure that the input data remains unchanged while the node performs its VRAM management tasks.

🧹 Free VRAM hack Output Parameters:

anything

The anything output parameter returns the input data unchanged. This ensures that the node can be used in a pipeline without altering the data being processed. The primary purpose of this output is to maintain the continuity of data flow in your workflow, allowing you to focus on VRAM management without worrying about data integrity.

🧹 Free VRAM hack Usage Tips:

• Use the Bjornulf_FreeVRAM node before starting a new, memory-intensive task to ensure that your GPU has the maximum available resources.
• Integrate this node into your workflow at points where you anticipate a high demand for GPU memory, such as before rendering large images or running complex models.

🧹 Free VRAM hack Common Errors and Solutions:

"CUDA cache not cleared"

• Explanation: This error may occur if the CUDA library is not available or properly configured on your system.
• Solution: Ensure that your system has a compatible CUDA installation and that your GPU drivers are up to date.

"Failed to trigger HTTP request"

• Explanation: This error indicates that the node was unable to send an HTTP request to the specified local server.
• Solution: Check that the local server is running and accessible at the specified URL. Verify network configurations and firewall settings that might block the request.