microsoft/TRELLIS.2

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

10869 stars · 1325 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TRELLIS.2 is a 4B-parameter state-of-the-art 3D generative model from Microsoft for high-fidelity image-to-3D asset generation. It uses a field-free sparse voxel representation (O-Voxel) and a sparse 3D VAE to produce meshes with complex topology and full PBR materials.

Use cases

• generate 3d models from a single image
• create textured 3d assets with pbr materials
• reconstruct meshes with open surfaces and non-manifold geometry
• convert textured meshes to compact voxel latents
• generate 3d assets for games and rendering pipelines

When to choose

• you need high-resolution image-to-3D generation with PBR textures
• your assets have complex topology like open surfaces or internal structures
• you have a high-memory NVIDIA GPU (24GB+) and Linux environment

When to avoid

• you need a lightweight model that runs on consumer GPUs or CPUs
• you require Windows or macOS support
• you only need simple low-poly 3D generation

Facets

library · maturity active

machine-learning deep-learning image-processing graphics simulation artificial-intelligence deep-learning computer-vision graphics python 3d-generation image-to-3d generative-model sparse-voxel pbr-textures 3d-assets diffusion-transformer huggingface game-development linux gpu docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/TRELLIS.2")