How to use from the
Use from the
Diffusers library
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("Yuppie1204/LayerAnimate-Mix", 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")

LayerAnimate-Mix

Project | Github | Paper

LayerAnimate is a novel video diffusion framework with layer-aware architecture that empowers the manipulation of layers through layer-level controls.

Citation

Please consider citing our work as follows if it is helpful.

@article{yang2025layeranimate,
  author    = {Yang, Yuxue and Fan, Lue and Lin, Zuzeng and Wang, Feng and Zhang, Zhaoxiang},
  title     = {LayerAnimate: Layer-level Control for Animation},
  journal   = {arXiv preprint arXiv:2501.08295},
  year      = {2025},
}
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