TRELLIS is a native 3D generation model based on a unified structured latent representation and a correction transformer, capable of producing diverse and high-quality 3D assets. The model captures structural (geometric) and texture (appearance) information comprehensively by integrating sparse 3D meshes with dense multi-view visual features extracted from powerful visual foundation models, while maintaining flexibility during the decoding process. TRELLIS can handle up to 2 billion parameters and has been trained on a large dataset of 3D assets containing 500,000 diverse objects. It generates high-quality results conditioned on text or images, significantly surpassing existing methods, including recent approaches of similar scale. TRELLIS also demonstrates flexible output format options and local 3D editing capabilities, which were not provided by previous models. Source code, models, and data will be made available.