Instructions to use FrancisRing/StableAnimator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrancisRing/StableAnimator 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("FrancisRing/StableAnimator", torch_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:
- 1970f8f7661601268d1ff5ff3f60a7064e3bf60f86428a5f8f4087086a5ecf5a
- Size of remote file:
- 229 MB
- SHA256:
- d6c1a3ac2ca22bbb1e6e23d63d6f9f03080d95fbe63fe014fb03244fcb5b003c
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