Instructions to use suvadityamuk/TripoSG-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/TripoSG-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/TripoSG-diffusers-3d", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download NOTICE from suvadityamuk/TripoSG-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 1.98 kB
-
https://huggingface.co/suvadityamuk/TripoSG-diffusers-3d/resolve/main/NOTICE
- Command line
-
hf download hf://suvadityamuk/TripoSG-diffusers-3d/NOTICE
-
curl -L -o NOTICE https://huggingface.co/suvadityamuk/TripoSG-diffusers-3d/resolve/main/NOTICE
1.98 kB
| VAST-AI TripoSG integration notice | |
| Portions of the rectified-flow transformer and shape-VAE decoder architecture, | |
| image preprocessing, sampling equations, and hierarchical surface extraction in | |
| this family are modified from: | |
| VAST-AI-Research/TripoSG | |
| https://github.com/VAST-AI-Research/TripoSG | |
| revision fc5c40990181e2a756c4e0b1c2f4d6b5202faf8c | |
| Those portions are provided under the accompanying MIT License: | |
| MIT License | |
| Copyright (c) 2025 VAST-AI-Research and contributors. | |
| All ported source files carry a prominent modification notice. Independently | |
| written diffusers-3d package glue remains under the package Apache-2.0 license. | |
| The upstream transformer file states that it is based on Tencent HunyuanDiT. | |
| The upstream NOTICE reads: | |
| This software contains code derived from HunyuanDiT | |
| (https://github.com/Tencent/HunyuanDiT). Notice: Tencent Hunyuan is licensed | |
| under the Tencent Hunyuan Community License Agreement, Copyright © 2024 | |
| Tencent. All Rights Reserved. The trademark rights of “Tencent Hunyuan” are | |
| owned by Tencent or its affiliate. | |
| This family implements the TripoSG transformer architecture with Diffusers | |
| building blocks (Apache-2.0). Whether that architecture's HunyuanDiT | |
| derivation carries Tencent Hunyuan Community License obligations for this code | |
| has not been determined. | |
| Not included: | |
| - the FlashVDM decoder, its attention processor, and flash_extract_geometry, | |
| which upstream distributes under the Tencent Hunyuan FlashVDM Community | |
| License Agreement (triposg/LICENSE upstream); | |
| - diso dual marching cubes (CC BY-NC 4.0); | |
| - the briaai/RMBG-1.4 background remover (bria-rmbg-1.4 license). | |
| Weights are not redistributed. The VAST-AI/TripoSG model card declares the MIT | |
| license; its DINOv2-L image encoder derives from facebook/dinov2-large | |
| (Apache-2.0). Converted checkpoints keep their own licenses. | |
| No affiliation, sponsorship, or endorsement by VAST-AI-Research, Tripo, | |
| Tencent, Meta, or BRIA AI is claimed. | |