Instructions to use anonymous728/VORTA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anonymous728/VORTA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anonymous728/VORTA", 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
Improve model card for VORTA: Add paper/code links, abstract, and detailed usage
#2
by nielsr HF Staff - opened
This PR significantly enhances the model card for VORTA by adding:
- An explicit link to the official Hugging Face paper page.
- A direct link to the GitHub repository for easy access to the code.
- The comprehensive abstract of the paper, providing a detailed overview of the research.
- Detailed installation instructions and a "Sample Usage (Inference)" section with code snippets for running inference, directly adapted from the official GitHub repository. This makes it easier for users to get started.
- Acknowledgements and a BibTeX citation, ensuring proper attribution.
These additions make the model card more informative and user-friendly, providing a more complete documentation of the artifact.
Thanks for your comments and PR!
Free free to merge and/or adapt :)