This container houses MSFT TRELLIS model which is a 3D AI model that generates high-quality 3D assets from text or image inputs.
TRELLIS Container Overview
Description:
This container houses Microsoft TRELLIS model, which is a 3D AI model that generates high-quality 3D assets from text or image inputs.
The container components are ready for commercial/non-commercial use.
License/Terms of Use:
GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products and use of the Cosmos model is governed by NVIDIA Open Model License Agreement. Additional Information: MIT license.
You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.
Deployment Geography:
Global
Release Date:
- build.nvidia.com September 2, 2025 via https://build.nvidia.com/microsoft/trellis
- Huggingface December 2, 2024 via https://huggingface.co/microsoft/TRELLIS-image-large
TRELLIS :
The TRELLIS Container includes the following model:
| Model Name & Link | Use Case | How to Pull the Model |
|---|---|---|
| https://build.nvidia.com/microsoft/trellis | 3D AI model that generates high-quality 3D assets from text or image inputs. | Automatic |
Deployment Details:
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
Container Version(s):
nvcr.io/nim/microsoft/trellis:latest
Security Common Vulnerabilities and Exposures (CVEs)
Please review the Security Scanning tab on NGC to view the latest security scan results. For certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.
Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal developer team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.
Please report security vulnerabilities or NVIDIA AI Concerns here.
Get Help
Getting started with the NIM
Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the Visual Generative AI NIM page for release documentation, deployment guides and more.
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