Instructions to use gen-lab/TripoSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gen-lab/TripoSG with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gen-lab/TripoSG", 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
| license: mit | |
| pipeline_tag: image-to-3d | |
| tags: | |
| - triposg | |
| - 3d-generation | |
| - rectified-flow | |
| # TripoSG | |
| For more details, please refer to the original repository: | |
| https://huggingface.co/VAST-AI/TripoSG | |
| This project is a refactored version of VAST-AI/TripoSG and is released under the same license as the original project. | |