Instructions to use VAST-AI/HoloPart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/HoloPart with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VAST-AI/HoloPart", torch_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 | |
| HoloPart: Generative 3D Part Amodal Segmentation | |
| -- Decompose a 3D shape into complete, semantically meaningful parts. | |
| Project Page: [https://vast-ai-research.github.io/HoloPart](https://vast-ai-research.github.io/HoloPart) | |
| Github Code: [https://github.com/VAST-AI-Research/HoloPart](https://github.com/VAST-AI-Research/HoloPart) |