Instructions to use RaphaelLiu/Pusa-V0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RaphaelLiu/Pusa-V0.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RaphaelLiu/Pusa-V0.5", 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 metadata, links, and usage example
#4
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding
pipeline_tag,library_name,license, andtagsto the metadata section for better discoverability and integration with the Hugging Face Hub. - Updating the Pusa paper link from arXiv to the Hugging Face Papers page.
- Adding a prominent link to the project page (
https://yaofang-liu.github.io/Pusa_Web/). - Including a detailed sample usage example for Image-to-Video generation, enhancing usability.