ComfyUI-MoGe2

By Android zhangView on GitHub →

Runs the MoGe2 model on the input image. v1: Ruicheng/moge-vitl v2: Ruicheng/moge-2-vitl-normal

How much VRAM does ComfyUI-MoGe2 require?

Direct Answer: The ComfyUI node ComfyUI-MoGe2 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-MoGe2?

Direct Answer: Running ComfyUI-MoGe2 requires installing the following Python package dependencies: huggingface_hub# ==0.25.2, matplotlib# ==3.9.2, opencv-python# ==4.10.0.84, pillow# ==10.4.0, scipy# ==1.14.1, torch# >= 2.0.0, torchvision, trimesh# ==4.5.1. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
huggingface_hub# ==0.25.2
matplotlib# ==3.9.2
opencv-python# ==4.10.0.84
pillow# ==10.4.0
scipy# ==1.14.1
torch# >= 2.0.0
torchvision
trimesh# ==4.5.1

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:

AnimateDiff Evolved
by Kosinkadink4.0GB VRAM
Batch Video Loader
by skakjskj189212-tech4.0GB VRAM
COMFYUI-MODELINSTALLER
by Pis7i4.0GB VRAM
Chaser's Custom Nodes
by chaserhkj4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-MoGe2 require?

ComfyUI-MoGe2 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-MoGe2 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-MoGe2 need?

ComfyUI-MoGe2 requires the following PyTorch-related packages: torch# >= 2.0.0, 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 ComfyUI-MoGe2?

To run ComfyUI-MoGe2, you need to install: huggingface_hub# ==0.25.2, matplotlib# ==3.9.2, opencv-python# ==4.10.0.84, pillow# ==10.4.0, scipy# ==1.14.1, torch# >= 2.0.0, torchvision, trimesh# ==4.5.1. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-MoGe2?

ComfyUI-MoGe2 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-MoGe2 in ComfyUI?

To install ComfyUI-MoGe2: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/zade23/Comfyui-MoGe2, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.