TRELLIS-2 generates professional high-fidelity 3D models with PBR materials in seconds. The most advanced open-source image-to-3D AI model with 4 billion parameters.
TRELLIS-2 is Microsoft Research's revolutionary 4-billion parameter open-source AI model that transforms single images into high-fidelity 3D assets. Built on the innovative O-Voxel (Omni-Voxel) architecture, it represents the cutting edge of 3D generative AI technology.
Unlike traditional 3D modeling tools that require hours of manual work, TRELLIS-2 leverages advanced Flow-Matching Transformers and Structured 3D Latent representations (SLAT) to generate production-ready 3D models with full PBR materials in seconds.
Key Innovation: TRELLIS-2's O-Voxel representation enables handling of arbitrary topologies including open surfaces, non-manifold geometry, and enclosed interiors — capabilities that surpass traditional iso-surface methods.
Everything you need to create stunning 3D assets with the most advanced open-source AI model available.
The largest open-source image-to-3D model with 4 billion parameters, delivering unmatched quality and detail in generated 3D assets.
Generate 512³ resolution models in ~3 seconds on H100 GPU. Full 1536³ high-resolution output in approximately 60 seconds.
Complete physically-based rendering materials including Base Color, Roughness, Metallic, and Opacity for realistic rendering.
Revolutionary Omni-Voxel representation that handles arbitrary topologies, open surfaces, and complex geometries.
Export to GLB, OBJ, PLY, Radiance Fields, and 3D Gaussians. Direct integration with Blender, Unity, and Unreal Engine.
Completely free and open-source under MIT license. Use for personal projects, commercial applications, and research.
TRELLIS-2 supports multiple output formats for seamless integration with your existing workflow.
| Format | Type | PBR Support | Max Resolution | Best For |
|---|---|---|---|---|
| GLB | Mesh | ✓ Full | 4096×4096 textures | Game engines, Web3D, AR/VR |
| OBJ | Mesh | ✓ MTL | Unlimited | 3D modeling software |
| PLY | Point Cloud | ✓ Vertex | Unlimited | Scientific visualization |
| Radiance Fields | Neural | ✓ Implicit | Continuous | Novel view synthesis |
| 3D Gaussians | Gaussian Splatting | ✓ Native | Adaptive | Real-time rendering |
TRELLIS-2 delivers industry-leading generation speeds while maintaining exceptional quality. Optimized for NVIDIA GPUs with support for various VRAM configurations.
From game development to e-commerce, TRELLIS-2 empowers creators across industries.
Rapidly prototype game assets, characters, and environments. Export directly to Unity and Unreal Engine.
Create immersive 3D experiences for augmented and virtual reality applications with optimized meshes.
Generate watertight meshes ready for 3D printing. Perfect for prototyping and manufacturing.
Transform product photos into interactive 3D models for online stores and AR product previews.
Quickly generate 3D visualizations of buildings, interiors, and landscape designs from sketches.
Accelerate pre-visualization and asset creation for film and animation production pipelines.
Create educational 3D models for interactive learning experiences and virtual classrooms.
Advance 3D AI research with access to state-of-the-art model architecture and training techniques.
See how TRELLIS-2 compares to other leading 3D AI generation tools in the market.
| Feature | TRELLIS-2 | Meshy | Tripo AI | CSM.ai | TripoSR |
|---|---|---|---|---|---|
| Parameters | 4B | Unknown | 20B | Unknown | ~500M |
| Open Source | |||||
| Price | Free | $20/mo | $15.9/mo | $20/mo | Free |
| PBR Materials | Limited | ||||
| Max Resolution | 1536³ | 1024³ | 1024³ | 512³ | 512³ |
| Generation Speed | ~3s | ~45s | ~60s | ~30s | ~8s |
| Local Deployment | |||||
| Transparency Support |
Get TRELLIS-2 running locally in just a few steps. Follow our streamlined setup process.
Clone the official TRELLIS-2 GitHub repository to your local machine.
Create a conda environment and install the required dependencies.
Start generating 3D models from your images using the simple Python API.
TRELLIS-2 provides a clean Python API for seamless integration into your existing workflows. Build custom applications, automate asset pipelines, or integrate with cloud services.
from trellis import TrellisImageTo3D # Initialize TRELLIS-2 pipeline pipeline = TrellisImageTo3D.from_pretrained( "microsoft/TRELLIS-image-large" ) # Generate 3D from image result = pipeline.generate( image="input.png", resolution="1024", output_format="glb" ) # Export with PBR materials result.export("output.glb") print("3D model generated!")
Understanding TRELLIS-2's innovative Omni-Voxel representation and Flow-Matching Transformer architecture.
DINOv2 extracts multi-view visual features
Compresses to structured latent space
Generates O-Voxel representation
Outputs textured 3D mesh
Structured 3D Latent representation combines geometry and appearance in a unified sparse voxel grid, enabling efficient compression and high-fidelity reconstruction.
Rectified Flow Transformers provide faster and more stable training compared to traditional diffusion models, resulting in higher quality outputs.
Handles arbitrary topologies including open surfaces, non-manifold geometry, transparency, and enclosed interiors that traditional methods cannot represent.
TRELLIS-2 integrates perfectly with your favorite 3D tools and game engines.
Direct GLB import with full PBR material support
Import ready-to-use game assets with optimized meshes
Production-quality assets for UE5 projects
Web-ready 3D models for browser applications
Cloud inference via Spaces and Inference API
Optimized deployment with 20% faster inference
Containerized deployment for production environments
fal.ai, Replicate, and custom cloud deployments
Explore stunning 3D assets generated by TRELLIS-2 from single images.
Hear from developers and artists using TRELLIS-2 in production.
Everything you need to know about TRELLIS-2 AI 3D generation.
TRELLIS-2 is Microsoft Research's 4-billion parameter open-source AI model for generating high-fidelity 3D assets from single images. It uses innovative O-Voxel architecture and Flow-Matching Transformers to create production-ready 3D models with PBR materials in seconds.
Yes, TRELLIS-2 is completely free and open-source under the MIT license. You can use it for personal projects, commercial applications, and research without any cost or subscription fees.
TRELLIS-2 requires an NVIDIA GPU with at least 24GB VRAM (such as RTX 4090, A100, or H100). For optimal performance at 1536³ resolution, an H100 GPU is recommended.
TRELLIS-2 supports multiple output formats including GLB (with PBR textures up to 4096×4096), OBJ, PLY, Radiance Fields, and 3D Gaussians. Models are compatible with Blender, Unity, Unreal Engine, and other 3D software.
TRELLIS-2 is incredibly fast. On an H100 GPU, it generates 512³ resolution models in approximately 3 seconds, 1024³ in about 17 seconds, and 1536³ in around 60 seconds.
Yes, TRELLIS-2 is released under the MIT license which permits commercial use. However, some NVIDIA dependencies may have separate restrictions, so check the specific components you use.
O-Voxel (Omni-Voxel) is TRELLIS-2's innovative sparse voxel representation that encodes both geometry and appearance in a unified structure. It enables handling of arbitrary topologies including open surfaces, non-manifold geometry, and enclosed interiors.
TRELLIS-2 offers several advantages: it's completely free and open-source, has 4B parameters, supports higher resolution output (1536³ vs 1024³), faster generation (~3s vs ~45s), and allows local deployment. Unlike Meshy's $20/month subscription, TRELLIS-2 has no credit limits or fees.
Tutorials, documentation, and guides to help you master TRELLIS-2.
Connect with thousands of developers, artists, and researchers using TRELLIS-2 to create amazing 3D content.
TRELLIS-2 is open-source and free. Choose how you want to use it.
Stay informed about TRELLIS-2 releases and improvements.
Major update with 4B parameter model, O-Voxel architecture, and full PBR material support.
TRELLIS research accepted as Spotlight paper at CVPR 2025 conference.
Official Hugging Face Space launched with free cloud inference demo.
NVIDIA NIM integration with 20% inference speedup on optimized infrastructure.
Upcoming features and improvements planned for TRELLIS-2.
Solutions to frequently encountered issues when using TRELLIS-2.
Running out of GPU memory during generation.
Reduce resolution to 512³ or use --low-vram flag. Ensure no other GPU processes are running.
Missing o-voxel dependency after installation.
Run: pip install git+https://github.com/microsoft/o-voxel.git
Generated mesh has small holes or artifacts.
Use the included mesh_postprocess.py script to create watertight meshes for 3D printing.
Generation taking longer than expected.
Ensure CUDA is properly installed. Use torch.compile() for significant speedup on supported GPUs.
Tips and tricks to get the best results from TRELLIS-2.
Start with clear, well-lit images with the subject centered. Remove busy backgrounds for better results.
Use 512³ for quick previews, 1024³ for game assets, and 1536³ for high-detail renders and 3D printing.
Use Blender's decimate modifier to optimize poly count for game engines. Apply remeshing for cleaner topology.
Bake textures to lower resolutions for web and mobile. Use texture atlasing for multiple objects.
Use the batch API for processing multiple images efficiently. Leverage GPU parallelism when available.
Set HF_HOME environment variable to cache model weights locally and avoid repeated downloads.
TRELLIS-2 is released under the permissive MIT license, giving you complete freedom to use, modify, and distribute the software.
TRELLIS-2 is developed and supported by leading technology organizations.
TRELLIS-2.org is an independent resource hub dedicated to Microsoft's TRELLIS-2 3D generation AI model. We provide tutorials, documentation, demos, and community resources to help developers and artists leverage this powerful open-source technology.
Our mission is to make 3D AI generation accessible to everyone by providing comprehensive guides, best practices, and a supportive community for users of all skill levels.
Disclaimer: This is an independent fan site and is not officially affiliated with Microsoft Corporation. TRELLIS-2 is developed by Microsoft Research.
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