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
File size: 326 Bytes
ba96331 299445c ba96331 299445c ba96331 299445c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ---
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.
|