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ComfyUI-ollama_killer

3

Last updated
2025-06-09

OllamaKiller is a specialized utility node for ComfyUI that optimizes VRAM management by automatically terminating the Ollama process, which is crucial for users with limited VRAM resources. This tool enhances workflow efficiency by clearing memory after model execution, thus improving performance in subsequent tasks.

  • Cross-platform compatibility allows it to function on Windows and potentially on macOS and Linux, enabling a wide range of users to benefit.
  • It features automatic detection and termination of Ollama processes, which helps maintain optimal memory usage without manual intervention.
  • The node provides detailed feedback about process status, ensuring users are informed of the actions taken regarding memory management.

Context

OllamaKiller serves as a utility within ComfyUI, specifically aimed at managing VRAM usage more effectively. By automatically terminating the Ollama process after model execution, it helps users mitigate memory constraints, thereby improving the overall performance of their workflows.

Key Features & Benefits

The tool's main features include cross-platform support, automatic process detection, and graceful termination capabilities. These functionalities are essential as they allow users to maintain their workflows without the risk of running out of VRAM, thus ensuring smoother operations and less downtime.

Advanced Functionalities

OllamaKiller can attempt a clean shutdown of the Ollama process before resorting to a forceful termination. This dual approach is beneficial as it prioritizes data integrity and minimizes disruption, which is particularly useful in complex workflows where preserving the state of operations is important.

Practical Benefits

By automating the management of the Ollama process, this tool significantly enhances the efficiency of ComfyUI workflows. Users can focus more on their creative processes without worrying about VRAM limitations, leading to improved control over their projects and higher quality outputs.

Credits/Acknowledgments

This project is maintained by Shubz World and is licensed under the MIT License, welcoming contributions from the community to further enhance its capabilities.