T R E L L I S image large

Introduction

TRELLIS-image-large is an image-conditioned, large 3D generative model designed for scalable and versatile 3D generation. It was introduced in the paper "Structured 3D Latents for Scalable and Versatile 3D Generation."

Architecture

The model is based on the TRELLIS library and is specifically tuned for converting images into 3D models. It leverages structured 3D latents to enable efficient and high-quality 3D generation, suitable for various applications in the field of 3D modeling and graphics.

Training

Details on the training process are available in the associated paper. The model is likely trained on large datasets of paired image and 3D data, utilizing advanced machine learning techniques to develop its generative capabilities.

Guide: Running Locally

1. Clone the Repository: Start by cloning the TRELLIS GitHub repository:

   git clone https://github.com/Microsoft/TRELLIS.git
   

2. Install Dependencies: Navigate to the cloned directory and install the required dependencies:

   cd TRELLIS
   pip install -r requirements.txt
   

3. Run the Model: Execute the provided scripts to run the model on your local machine. Adjust any configurations as needed.
4. GPU Recommendation: For optimal performance, it is recommended to use cloud-based GPUs such as those provided by AWS, Google Cloud, or Azure.

License

The TRELLIS-image-large model is licensed under the MIT License, allowing for flexible use, modification, and distribution.