Link Comfy Nodes

By mister_linkView on GitHub →

A collection of custom ComfyUI nodes by Mister-Link, including color parsing, frame calculation, and utility nodes for enhanced workflow capabilities.

How much VRAM does Link Comfy Nodes require?

Direct Answer: The ComfyUI node Link Comfy Nodes requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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

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

🚀 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

What Python packages are required for Link Comfy Nodes?

Direct Answer: Running Link Comfy Nodes requires installing the following Python package dependencies: curl_cffi, huggingface-hub, numba, numpy, opencv-python, pillow, pytorch_lightning, requests, scikit-learn, torch, torchvision, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
curl_cffi
huggingface-hub
numba
numpy
opencv-python
pillow
pytorch_lightning
requests
scikit-learn
torch
torchvision
transformers

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:

AMD Video Upscaler
by yasei-no-otoko3.0GB VRAM
Bit Depth Enhancer
by subraoul128MB VRAM
ComfyUI Bringing Old Photos Back to Life
by cdb-boop128MB VRAM
ComfyUI PixelArt Detector
by dimtoneff3.0GB VRAM

Frequently Asked Questions

How much VRAM does Link Comfy Nodes require?

Link Comfy Nodes requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run Link Comfy Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does Link Comfy Nodes need?

Link Comfy Nodes requires the following PyTorch-related packages: pytorch_lightning, torch, torchvision. 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 Link Comfy Nodes?

To run Link Comfy Nodes, you need to install: curl_cffi, huggingface-hub, numba, numpy, opencv-python, pillow, pytorch_lightning, requests, scikit-learn, torch, torchvision, transformers. You can install these using pip or add them to your requirements.txt file.

How do I install Link Comfy Nodes in ComfyUI?

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