TRELLIS.2
Generate high-fidelity 3D assets from images instantly.
- Text and Images to Video
- Style Transfer & Batch
- No-Code Workflows
- Edu-Games & Fun
- 3D Modeling & Rendering
Last updated
Features
- Generates 3D assets from a single image
- Uses a 4B-parameter flow-matching Transformer
- Produces watertight meshes with O-Voxel representation, including thin or open geometry
- Generates at up to 1536³ resolution, from about 3 seconds at 512³
- Outputs full PBR materials: base color, metallic, roughness and opacity
- Needs no per-asset optimization
- Paints existing 3D meshes from a reference image
- Exports to GLB and OBJ
- Open source under the MIT license, with a web demo and API
Pricing Details
💵 Pricing & Plans (February 2026 Status):
| Plan | Price (Approx.) | Key Features |
|---|---|---|
| Open Source | $0 (Free) | MIT Licensed. Code and weights available on GitHub and Hugging Face. |
| Hugging Face Space | Free / Zero GPU | Web-based demo for quick testing (subject to queue times). |
| API (e.g., Fal.ai) | Pay-per-gen | Cloud-hosted version for high-speed, scalable batch generation. |
🎁 How to Get Started:
Visit the Microsoft TRELLIS.2 Hugging Face Space to upload a single image. Within seconds, you can interact with a 3D preview of the object. For developers, clone the GitHub repository and run the inference script; note that it requires an NVIDIA GPU with at least 24GB of VRAM (e.g., RTX 3090/4090 or A100/H100).
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