Mesh Simplifier for ComfyUI

By roundyyyView on GitHub →

A custom node for ComfyUI that implements mesh simplification with texture preservation using PyMeshLab. This node allows you to reduce the complexity of 3D meshes while preserving visual quality, and is compatible with ComfyUI-3D-Pack's mesh format.

How much VRAM does Mesh Simplifier for ComfyUI require?

Direct Answer: The ComfyUI node Mesh Simplifier for ComfyUI 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!

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What Python packages are required for Mesh Simplifier for ComfyUI?

Direct Answer: Running Mesh Simplifier for ComfyUI requires installing the following Python package dependencies: numpy==1.26.4, pillow==10.4.0, pymeshlab, trimesh==4.4.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy==1.26.4
pillow==10.4.0
pymeshlab
trimesh==4.4.1

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:

ComfyUI-Regex-Runner
by orange90256MB VRAM
AIGODLIKE-COMFYUI-TRANSLATION
by AIGODLIKE128MB VRAM
AIRedoon
by purpen256MB VRAM
AITocha Vision
by aitocha128MB VRAM

Frequently Asked Questions

How much VRAM does Mesh Simplifier for ComfyUI require?

Mesh Simplifier for ComfyUI 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 Mesh Simplifier for ComfyUI 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

What Python packages are required for Mesh Simplifier for ComfyUI?

To run Mesh Simplifier for ComfyUI, you need to install: numpy==1.26.4, pillow==10.4.0, pymeshlab, trimesh==4.4.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Mesh Simplifier for ComfyUI?

Mesh Simplifier for ComfyUI 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 Mesh Simplifier for ComfyUI in ComfyUI?

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