TRELLIS
TRELLIS is a free, open-source research model for generating 3D assets from text or image prompts.
What TRELLIS is
TRELLIS is a free, open-source research model for generating 3D assets from text or image prompts. It can create radiance fields, 3D Gaussians, and meshes using a shared Structured Latent representation, as well as variants and targeted edits to local regions. Its pretrained image-to-3D and text-to-3D models range from 342 million to 2 billion parameters and were trained on 500,000 3D objects. Example exports include textured meshes as GLB files and 3D Gaussians as PLY files. A Gradio demo can be installed and run locally. Running the model requires an NVIDIA GPU with at least 16 GB of memory, CUDA for compiling some submodules, and Python 3.8 or newer. Linux is tested; Windows setup is not fully tested. The project is intended for academic and research use, not commercial use. Its materials are strongest for artistic-style assets and have limited ability to generate photorealistic real-world objects. The repository recommends starting with an image for more detailed results than text-conditioned generation.
Good
- Accepts both text and image prompts.
- Can generate meshes, radiance fields, and 3D Gaussians.
- Exports include GLB and PLY.
- The project is free and open source.
Watch out
- Requires an NVIDIA GPU with at least 16 GB memory.
- Windows setup is not fully tested.
- Photorealistic real-world generation is limited.
- Project materials are not intended for commercial use.
Who it suits
TRELLIS suits researchers and users creating artistic-style 3D assets from text or images. It is intended for academic and research use, not commercial work.
Verdict
TRELLIS provides several 3D output types and supports prompt-based generation and local edits. Its hardware requirements, research-use terms, and limits with photorealistic objects make it a specialized option.
The facts
Each one read from TRELLIS's own pages, with the date it was checked.
What it does
- Demo
- The repository provides a Gradio web demo that users can run locally after installing its demo dependencies.checked 7 Oct 2001
- Dependencies
- Installation requires CUDA for compiling some submodules and Python 3.8 or higher, with Conda recommended for dependency management.checked 7 Oct 2001
- Editing
- It can generate variants of an asset and manipulate targeted local regions using text or image prompts.checked 7 Oct 2001
- Exports
- The usage example exports textured meshes as GLB and 3D Gaussians as PLY files.checked 7 Oct 2001
- Formats
- The example exports textured meshes as GLB files and 3D Gaussian representations as PLY files.checked 7 Oct 2001
- 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.checked 7 Oct 2001
- Hardware requirement
- The repository says an NVIDIA GPU with at least 16 GB of memory is necessary.checked 7 Oct 2001
- License
- TRELLIS models and most code use the MIT License, while some submodules have separate licenses.checked 7 Oct 2001
- 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.checked 7 Oct 2001
- Model scale
- The project provides pretrained models with up to 2 billion parameters, trained on a dataset of 500,000 3D assets.checked 7 Oct 2001
- Model sizes
- The project describes models with up to 2 billion parameters trained on a dataset of 500,000 3D objects.checked 7 Oct 2001
- Model variants
- The repository lists image-to-3D and text-to-3D pretrained models ranging from 342 million to 2 billion parameters.checked 7 Oct 2001
- Operating system
- The code is tested on Linux, and the repository describes Windows setup as not fully tested.checked 7 Oct 2001
- Operating systems
- The code is tested on Linux; Windows setup is described as not fully tested.checked 7 Oct 2001
- Outputs
- The model can produce Radiance Fields, 3D Gaussians, and meshes.checked 7 Oct 2001
- Purpose
- TRELLIS is a research model that generates 3D assets from text or image prompts.checked 7 Oct 2001
- Quality
- The project says its models generate detailed geometry and texture, while noting that photorealistic real-world object generation is limited.checked 7 Oct 2001
- Representations
- It can produce radiance fields, 3D Gaussians, and meshes from a shared Structured Latent representation.checked 7 Oct 2001
- Research limits
- The project page says the model is strongest at artistic-style assets and has limited ability to generate photorealistic real-world objects.checked 7 Oct 2001
- Security reporting
- The project directs vulnerability reports to the Microsoft Security Response Center rather than public GitHub issues.checked 7 Oct 2001
- Support
- The repository uses GitHub Issues for bug reports and feature requests, and says support is limited to the listed resources.checked 7 Oct 2001
- Text-generation caveat
- The repository recommends generating an image first and then using the image-conditioned model because text-conditioned models are less creative and detailed due to data limitations.checked 7 Oct 2001
- Web demo
- The repository provides a Gradio web demo that users can install and run locally.checked 7 Oct 2001
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