ComfyUI-GROUT

By advancedtech-skView on GitHub →

Custom ComfyUI nodes for GROUT (Geometric Reasoning Over Unstructured Tessellations) - a deep learning model for detecting and segmenting grout lines in mosaic images.

How much VRAM does ComfyUI-GROUT require?

Direct Answer: The ComfyUI node ComfyUI-GROUT 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!

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What Python packages are required for ComfyUI-GROUT?

Direct Answer: Running ComfyUI-GROUT requires installing the following Python package dependencies: huggingface_hub>=0.20.0, matplotlib, numpy, pillow, segmentation-models-pytorch>=0.3.0, torch>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
huggingface_hub>=0.20.0
matplotlib
numpy
pillow
segmentation-models-pytorch>=0.3.0
torch>=2.0.0

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 LoRA Block Weight Loader
by bhvbhushan128MB VRAM
ComfyUI-LightVAE
by ModelTC4.0GB VRAM
ComfyUI-ModelQuantizer
by lum3on128MB VRAM
ComfyUI-QwenFrameSelector
by eddyhhlure1Eddy4.0GB VRAM
ComfyUI-WildPromptor
by 1038lab256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-GROUT require?

ComfyUI-GROUT 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-GROUT 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-GROUT need?

ComfyUI-GROUT requires the following PyTorch-related packages: segmentation-models-pytorch>=0.3.0, torch>=2.0.0. 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 ComfyUI-GROUT?

To run ComfyUI-GROUT, you need to install: huggingface_hub>=0.20.0, matplotlib, numpy, pillow, segmentation-models-pytorch>=0.3.0, torch>=2.0.0. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-GROUT 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-GROUT in ComfyUI?

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