TRELLIS
Note: This Replicate deployment is maintained by firtoz, a fan of the TRELLIS project, and is not officially affiliated with Microsoft or the TRELLIS team. All rights, licenses, and intellectual property belong to Microsoft.
TRELLIS is a powerful 3D asset generation model that converts text or image prompts into high-quality 3D assets. This Replicate deployment focuses on the image-to-3D generation capabilities of TRELLIS.
Model Description
TRELLIS uses a unified Structured LATent (SLAT) representation that enables generation of different 3D output formats. The model deployed here is TRELLIS-image-large, which contains 1.2B parameters and is trained on a diverse dataset of 500K 3D objects.
Key features: - Generate high-quality 3D assets from input images - Multiple output formats: 3D Gaussians, Radiance Fields, and textured meshes - Detailed shape and texture generation - Support for various viewpoint renderings
For more examples and to try it directly in your browser, visit the Replicate model page.
Input Format
The model accepts: - An input image (PNG or JPEG format) - Optional parameters for controlling the generation process
Output Format
The model outputs: - A GLB file containing the generated 3D model with textures - Preview renders from multiple angles - Optional: Raw 3D Gaussians or Radiance Field representations
Example Usage
import replicate
output = replicate.run(
"firtoz/trellis:version",
input={
"seed": 0,
"image": "https://replicate.delivery/pbxt/M6rvlcKpjcTijzvLfJw8SCWQ74M1jrxowbVDT6nNTxREcvxO/ephemeros_cartoonish_character_art_cyberpunk_crocodile_white_ba_486fb649-bc68-46a0-b429-751b43734b89.png",
"texture_size": 1024,
"mesh_simplify": 0.95,
"generate_color": True,
"generate_model": True,
"randomize_seed": True,
"generate_normal": True,
"ss_sampling_steps": 12,
"slat_sampling_steps": 12,
"ss_guidance_strength": 7.5,
"slat_guidance_strength": 3
}
)
print(output)
Citations
@article{xiang2024structured,
title = {Structured 3D Latents for Scalable and Versatile 3D Generation},
author = {Xiang, Jianfeng and Lv, Zelong and Xu, Sicheng and Deng, Yu and Wang, Ruicheng and Zhang, Bowen and Chen, Dong and Tong, Xin and Yang, Jiaolong},
journal = {arXiv preprint arXiv:2412.01506},
year = {2024}
}
License
TRELLIS is released under the MIT License. See LICENSE for details.