Instructions to use yosepyossi/mvrag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yosepyossi/mvrag with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yosepyossi/mvrag", 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: Add `library_name`, abstract, links, and usage example
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card by:
- Adding
library_name: diffusersto the metadata, which enables the automated "how to use" widget on the Hugging Face Hub. - Populating the content section with a comprehensive overview from the paper abstract and GitHub README.
- Including direct links to the paper on Hugging Face, the project page, and the GitHub repository.
- Adding a practical usage example with installation steps directly from the original GitHub README.
- Including other relevant sections like Weights, Acknowledgement, and Citation.
This ensures better discoverability and provides users with essential information directly on the model page, making it easier for them to understand and utilize the model.
yosepyossi changed pull request status to merged