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  3. TRELLIS 2 Download: Models, Weights & Setup Files (2026)
TRELLIS 2 Download: Models, Weights & Setup Files (2026)
2026/04/21
2 min read

TRELLIS 2 Download: Models, Weights & Setup Files (2026)

Direct download links for Microsoft TRELLIS 2 model weights, ComfyUI custom nodes, and all required dependencies. Includes checksums, hardware requirements, and step-by-step download instructions.

Last updated: April 21, 2026

This page provides direct download links for all TRELLIS 2 components β€” model weights, custom nodes, and dependencies β€” so you can get started quickly without hunting through multiple repositories.

If you'd rather not download anything, you can use TRELLIS 2 online with no installation required.

Quick Download Summary

ComponentSizeSourceDownload
Model Weights

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~8 GB
HuggingFace
Download
Source Code~500 MBGitHubDownload
ComfyUI Node~50 MBGitHubDownload
Sample Workflow~5 KBCommunityRunComfy

Model Weights

TRELLIS.2-4B (Official)

The official pre-trained model from Microsoft Research.

  • Parameters: 4 Billion
  • Architecture: Sparse 3D VAE + DiT
  • Max Resolution: 1536Β³
  • Output: Radiance Fields, 3D Gaussians, Textured Meshes

Download Methods:

# Method 1: HuggingFace CLI (recommended)
pip install huggingface-hub
huggingface-cli download microsoft/TRELLIS.2-4B --local-dir ./trellis2-weights/

# Method 2: Git LFS
git lfs install
git clone https://huggingface.co/microsoft/TRELLIS.2-4B

# Method 3: Direct download from browser
# Visit https://huggingface.co/microsoft/TRELLIS.2-4B
# Click "Files and versions" β†’ download individual files

Directory Structure After Download:

trellis2-weights/
β”œβ”€β”€ config.json
β”œβ”€β”€ model.safetensors
β”œβ”€β”€ scheduler/
β”œβ”€β”€ text_encoder/
β”œβ”€β”€ tokenizer/
β”œβ”€β”€ unet/
└── vae/

Source Code

Official Repository

git clone https://github.com/microsoft/TRELLIS.2.git
cd TRELLIS.2

ComfyUI Custom Node (PozzettiAndrea)

cd ComfyUI/custom_nodes/
git clone https://github.com/PozzettiAndrea/ComfyUI-TRELLIS.git

Python Dependencies

Core Dependencies

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux
# .\venv\Scripts\activate  # Windows

# Install PyTorch with CUDA
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121

# Install TRELLIS 2 requirements
pip install -r requirements.txt

Key Packages

PackageVersionPurpose
torch2.1+Deep learning framework
torchvision0.16+Image processing
xformers0.0.23+Memory-efficient attention
transformers4.36+Text encoder
diffusers0.25+Diffusion pipeline
trimesh4.0+Mesh processing
pygltflib1.16+GLB export

Hardware Requirements

ComponentMinimumRecommended
GPUNVIDIA 8GB VRAMNVIDIA 16GB+ VRAM
RAM16 GB32 GB
Storage15 GB30 GB (SSD)
CUDA11.812.1+

Next Steps

  • ComfyUI Installation Guide β€” Set up TRELLIS 2 in ComfyUI
  • Workflow Tutorial β€” Build your first 3D generation pipeline
  • How to Use TRELLIS 2 β€” General usage guide
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Author

avatar for Trellis2 Team
Trellis2 Team

3D technology specialists focused on AI-powered 3D model generation, format conversion, and browser-based 3D rendering. We test and review 3D tools so you don't have to.

Categories

    Quick Download SummaryModel WeightsTRELLIS.2-4B (Official)Source CodeOfficial RepositoryComfyUI Custom Node (PozzettiAndrea)Python DependenciesCore DependenciesKey PackagesHardware RequirementsNext Steps
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