Instructions to use ZhiyuanthePony/TriplaneTurbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZhiyuanthePony/TriplaneTurbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ZhiyuanthePony/TriplaneTurbo", 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
Add pipeline tag and library name
#1
by nielsr HF Staff - opened
This PR adds the missing pipeline_tag and library_name to the model card metadata. This improves discoverability and clarifies the model's dependencies. The pipeline_tag is set to text-to-3d reflecting the model's functionality. The library_name is set to diffusers reflecting its reliance on Hugging Face Diffusers.
ZhiyuanthePony changed pull request status to merged