Instructions to use YarvixPA/Hunyuan3D-2-AIO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YarvixPA/Hunyuan3D-2-AIO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("YarvixPA/Hunyuan3D-2-AIO", 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
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Check out the documentation for more information.
This is a "All In One" repo that contains all the Hunyuan3D-2 models SingleView and MultiView (Standard, Fast and Turbo) from Tencent.
Models are in .safetensors and some in .bin)
Since this is just a "All In One" repo, all original licensing terms and usage restrictions remain in effect.
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