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TRELLIS Text Large Fork
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TRELLIS Text Large Fork

Developed by larsquaedvlieg
TRELLIS is a large-scale text-conditioned 3D generation model that utilizes structured 3D latent variables for scalable and versatile 3D content generation.
Text-to-Image EnglishOpen Source License:MIT#Text-to-3D Generation#Structured Latent Variables#Scalable 3D Generation
Downloads 95
Release Time : 5/17/2025

Model Overview

This model can generate high-quality 3D content based on text descriptions, employing an innovative structured latent variable architecture for efficient generation.

Model Features

Structured 3D Latent Variables
Utilizes an innovative structured latent variable design for more efficient 3D content representation and generation.
Scalable Generation
The model architecture supports the generation of 3D content with varying complexity and scale.
Versatility
Capable of handling diverse 3D generation tasks and content types.

Model Capabilities

Text-conditioned 3D generation
3D content creation
3D model generation

Use Cases

3D Content Creation
Game Asset Generation
Automatically generates 3D models and scenes for games based on text descriptions.
Rapidly produces diverse game assets, reducing manual modeling time.
Virtual Scene Construction
Creates 3D environments for virtual or augmented reality applications through text descriptions.
Efficiently builds complex virtual scenes.
Industrial Design
Product Prototype Generation
Quickly generates 3D prototypes based on product descriptions.
Accelerates the product design iteration process.
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