Scalable and Versatile 3D Generation from images
Generate 3D models from images
Create a 3D model from an image in 10 seconds!
Generate depth maps and 3D models from images
Scalable and Versatile 3D Generation from images
High-performance Image-to-3D generation model
Scalable and Versatile 3D Generation from images
Upload an image to generate a 3D model
"Ein Tool zur Erstellung von 3D-Modellen aus 2D-Bildern."
Generate detailed 3D faces from images
vggt (alpha test)
Generate 3D models from images efficiently
Scalable and Versatile 3D Generation from images
TRELLIS is an advanced AI tool designed to generate 3D models from 2D images with precision and scalability. It leverages cutting-edge technology to turn your 2D images into 3D models, making it a versatile solution for various applications in fields like gaming, architecture, and product design. TRELLIS offers fast and accurate 3D generation, ensuring high-quality outputs tailored to your needs.
• Scalable 3D Generation: Process multiple images efficiently to create detailed 3D models.
• Versatile Output: Generate models suitable for diverse applications, from prototyping to visualizations.
• User-Friendly Interface: Intuitive design for seamless navigation, even for users without prior 3D modeling expertise.
• Customization Options: Adjust settings to refine the quality and complexity of the generated models.
• Cross-Platform Compatibility: Accessible on multiple devices and platforms for flexible workflows.
What formats does TRELLIS support for input and output?
TRELLIS supports widely used image formats like JPG, PNG, and BMP for input. For output, it generates 3D models in formats such as OBJ, STL, and GLB.
Can I customize the generated 3D model?
Yes, TRELLIS offers customization options to adjust the complexity, texture, and shape of the generated model, allowing you to tailor it to your specific needs.
Is TRELLIS suitable for all types of images?
While TRELLIS works best with clear, high-quality images, it can process a wide variety of images. However, the quality of the input image directly impacts the accuracy of the generated 3D model.