ComfyUI-KYNode

By yorkaneView on GitHub →

NODES:Advanced Lying Sigma Sampler, Save Image To target Path

How much VRAM does ComfyUI-KYNode require?

Direct Answer: The ComfyUI node ComfyUI-KYNode requires a minimum base VRAM of 128MB 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:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

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 Cloud GPUs

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

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What Python packages are required for ComfyUI-KYNode?

Direct Answer: Running ComfyUI-KYNode requires installing the following Python package dependencies: numpy, openai, pillow, requests, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
openai
pillow
requests
torch

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

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

Anima Style Explorer
by fulletlab256MB VRAM
Chatbox Overlay node for ComfyUI
by Smuzzies256MB VRAM
Clh Tool for ComfyUI
by clhui256MB VRAM
Comfy UI Text List Product
by opvelll256MB VRAM
ComfyRage
by rakkarage256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-KYNode require?

ComfyUI-KYNode requires a minimum of 128MB (0.1GB) 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-KYNode on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What PyTorch version does ComfyUI-KYNode need?

ComfyUI-KYNode requires the following PyTorch-related packages: torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI-KYNode?

To run ComfyUI-KYNode, you need to install: numpy, openai, pillow, requests, torch. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-KYNode 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-KYNode in ComfyUI?

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