ComfyUI-GNM

By soylab-eduView on GitHub →

Generate parametric 3D heads by adjusting gender, race, expression, and head angle with sliders, output as color images, normal maps, depth maps, and masks for ControlNet conditioning. (Description by CC)

How much VRAM does ComfyUI-GNM require?

Direct Answer: The ComfyUI node ComfyUI-GNM requires a minimum base VRAM of 2048MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
2048MB (2.0GB)
Recommended GPU:
6GB+ 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-GNM?

Direct Answer: Running ComfyUI-GNM requires installing the following Python package dependencies: absl-py, etils[enp,epath], h5py, numpy, pillow, pyglet<2, pyopengl==3.1.10, pyrender, trimesh. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
absl-py
etils[enp,epath]
h5py
numpy
pillow
pyglet<2
pyopengl==3.1.10
pyrender
trimesh

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:

AegisFlow Utility Nodes
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Anyline
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Comfy-Photoshop-SD
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Frequently Asked Questions

How much VRAM does ComfyUI-GNM require?

ComfyUI-GNM requires a minimum of 2048MB (2.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-GNM on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 8.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 19.6GB headroom

What Python packages are required for ComfyUI-GNM?

To run ComfyUI-GNM, you need to install: absl-py, etils[enp,epath], h5py, numpy, pillow, pyglet<2, pyopengl==3.1.10, pyrender, trimesh. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-GNM 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-GNM in ComfyUI?

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