Instructions to use DarthZhu/VideoRLVR-Wan2.2-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DarthZhu/VideoRLVR-Wan2.2-Base 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("DarthZhu/VideoRLVR-Wan2.2-Base", 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:
- 032ce9f480c5dcea1ac1a2c39b0de3729b63e97f6c980ac8446a8106b3a2e8c6
- Size of remote file:
- 165 kB
- SHA256:
- 4aaea5e187f1c5908e15ade5bef24c9fb59882986bc3d2ad75f7fe820f3d772f
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