ComfyUI-ollama_killer

By theshubzworldView on GitHub →

OllamaKiller is a cross-platform utility node for ComfyUI that automatically manages Ollama processes (`ollama.exe` on Windows, `ollama` on macOS/Linux). It helps free up VRAM by terminating Ollama processes after model execution, improving workflow performance and memory management. Features include graceful process termination, detailed status reporting, and seamless text passthrough.

How much VRAM does ComfyUI-ollama_killer require?

Direct Answer: The ComfyUI node ComfyUI-ollama_killer requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

Deploy on High-Performance GPUs

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

Together Vision Node
by theshubzworld256MB VRAM
AIRedoon
by purpen256MB VRAM
BLIP Vision-Language Model Integration
by muhammederem128MB VRAM
BSS WD14 Batch Tagger
by Blacksnowskill128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-ollama_killer require?

ComfyUI-ollama_killer requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-ollama_killer on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

How can I reduce VRAM usage when running ComfyUI-ollama_killer?

ComfyUI-ollama_killer supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI-ollama_killer in ComfyUI?

To install ComfyUI-ollama_killer: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/theshubzworld/ComfyUI-ollama_killer, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.