ComfyUI-TRELLIS2_Motion

By styletransferView on GitHub →

A comprehensive ComfyUI node package that uses Microsoft's TRELLIS2 to transform video footage into 3D mesh reconstructions with advanced rendering effects.

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-TRELLIS2_Motion requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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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Deploy on Cloud GPUs

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Python Dependencies

Direct Answer: Running ComfyUI-TRELLIS2_Motion requires installing the following Python package dependencies: einops>=0.6.0, flash-attn# Efficient attention, huggingface_hub>=0.20.0, kaolin# NVIDIA 3D deep learning library, kornia>=0.7.0 # Differentiable image processing, numpy>=1.21.0, nvdiffrast# CUDA mesh rendering, opencv-python-headless>=4.8.0, pillow>=9.0.0, rembg# Background removal, requests>=2.28.0, scipy>=1.10.0, spconv-cu118# Sparse convolutions (CUDA 11.8), torch>=2.0.0, tqdm>=4.65.0, transformers>=4.30.0, trimesh>=3.0.0, xatlas# UV unwrapping. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
einops>=0.6.0
flash-attn# Efficient attention
huggingface_hub>=0.20.0
kaolin# NVIDIA 3D deep learning library
kornia>=0.7.0  # Differentiable image processing
numpy>=1.21.0
nvdiffrast# CUDA mesh rendering
opencv-python-headless>=4.8.0
pillow>=9.0.0
rembg# Background removal
requests>=2.28.0
scipy>=1.10.0
spconv-cu118# Sparse convolutions (CUDA 11.8)
torch>=2.0.0
tqdm>=4.65.0
transformers>=4.30.0
trimesh>=3.0.0
xatlas# UV unwrapping

🛠️ 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...