# TRELLIS Container Overview ## Description: This container houses MSFT 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](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and the [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/) and use of the Cosmos model is governed by [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/). ### Deployment Geography:
Global
### Release Date:
1. Build.Nvidia.com September 2, 2025 via [https://build.nvidia.com/microsoft/trellis](https://build.nvidia.com/microsoft/trellis)
2. Huggingface December 2, 2024 via [https://huggingface.co/microsoft/TRELLIS-image-large](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](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.
Visit the NIM Container [Visual Generative AI page](https://docs.nvidia.com/nim/visual-genai/latest/overview.html) for release documentation, deployment guides and more. ## Container Version(s): nvcr.io/nim/microsoft/trellis:1.0.0 ## 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. Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
**You are responsible for ensuring that your use of NVIDIA AI Foundation Models complies with all applicable laws.**