KMCDev Nodes

By kevinmcmahondevView on GitHub →

A ComfyUI node that provides advanced image adjustment filters and controls for image manipulation

How much VRAM does KMCDev Nodes require?

Direct Answer: The ComfyUI node KMCDev Nodes 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

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 KMCDev Nodes?

Direct Answer: Running KMCDev Nodes requires installing the following Python package dependencies: numpy>=1.22.0, pillow>=9.3.0, torch>=2.0.0, torchvision>=0.21.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
numpy>=1.22.0
pillow>=9.3.0
torch>=2.0.0
torchvision>=0.21.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
ComfyUI Latent Transform Sampler
by pizurny128MB VRAM
ComfyUI LoRA Block Weight Loader
by bhvbhushan128MB VRAM
ComfyUI-11labs
by gabe-init256MB VRAM
ComfyUI-DreamCube
by cedarconnor128MB VRAM

Frequently Asked Questions

How much VRAM does KMCDev Nodes require?

KMCDev Nodes 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 KMCDev Nodes 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 KMCDev Nodes need?

KMCDev Nodes requires the following PyTorch-related packages: torch>=2.0.0, torchvision>=0.21.0. 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 KMCDev Nodes?

To run KMCDev Nodes, you need to install: numpy>=1.22.0, pillow>=9.3.0, torch>=2.0.0, torchvision>=0.21.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running KMCDev Nodes?

KMCDev Nodes 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 KMCDev Nodes in ComfyUI?

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