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- TRELLIS
On the recordRead 7 Oct 202623 facts
TRELLIS
On the record
- Demo
- The repository provides a Gradio web demo that users can run locally after installing its demo dependencies.github.com · read 7 Oct 2026
- Dependencies
- Installation requires CUDA for compiling some submodules and Python 3.8 or higher, with Conda recommended for dependency management.github.com · read 7 Oct 2026
- Editing
- It can generate variants of an asset and manipulate targeted local regions using text or image prompts.microsoft.github.io · read 7 Oct 2026
- Exports
- The usage example exports textured meshes as GLB and 3D Gaussians as PLY files.github.com · read 7 Oct 2026
- Formats
- The example exports textured meshes as GLB files and 3D Gaussian representations as PLY files.github.com · read 7 Oct 2026
- Hardware
- The code requires an NVIDIA GPU with at least 16 GB of memory; the repository says it has been verified on A100 and A6000 GPUs.github.com · read 7 Oct 2026
- Hardware requirement
- The repository says an NVIDIA GPU with at least 16 GB of memory is necessary.github.com · read 7 Oct 2026
- License
- TRELLIS models and most code use the MIT License, while some submodules have separate licenses.github.com · read 7 Oct 2026
- License and use
- The project page says its materials are for academic and research purposes and are not intended for commercial use; the repository says the models and most code use the MIT License, with some submodules under different licenses.microsoft.github.io · read 7 Oct 2026
- Model scale
- The project provides pretrained models with up to 2 billion parameters, trained on a dataset of 500,000 3D assets.github.com · read 7 Oct 2026
- Model sizes
- The project describes models with up to 2 billion parameters trained on a dataset of 500,000 3D objects.microsoft.github.io · read 7 Oct 2026
- Model variants
- The repository lists image-to-3D and text-to-3D pretrained models ranging from 342 million to 2 billion parameters.github.com · read 7 Oct 2026
- Operating system
- The code is tested on Linux, and the repository describes Windows setup as not fully tested.github.com · read 7 Oct 2026
- Operating systems
- The code is tested on Linux; Windows setup is described as not fully tested.github.com · read 7 Oct 2026
- Outputs
- The model can produce Radiance Fields, 3D Gaussians, and meshes.github.com · read 7 Oct 2026
- Purpose
- TRELLIS is a research model that generates 3D assets from text or image prompts.microsoft.github.io · read 7 Oct 2026
- Quality
- The project says its models generate detailed geometry and texture, while noting that photorealistic real-world object generation is limited.microsoft.github.io · read 7 Oct 2026
- Representations
- It can produce radiance fields, 3D Gaussians, and meshes from a shared Structured Latent representation.microsoft.github.io · read 7 Oct 2026
