Instructions to use FastVideo/HY-WorldPlay-AR-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/HY-WorldPlay-AR-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/HY-WorldPlay-AR-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d35d8327f1118dd6dfd0fc3622891d72dc64923b0e24706425ed1c5f0acb3c13
- Size of remote file:
- 857 MB
- SHA256:
- d769e3a32a6a9bac72d4d93b989e44491f71b50f02bfa14cd9187758d4a68ff1
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