MCG-NJU/X-Dance
Viewer • Updated • 36 • 301 • 18
How to use MCG-NJU/SteadyDancer-GGUF 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("MCG-NJU/SteadyDancer-GGUF", 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")
Jiaming Zhang
·
Shengming Cao
·
Rui Li
·
Xiaotong Zhao
·
Yutao Cui
Xinglin Hou
·
Gangshan Wu
·
Haolan Chen
·
Yu Xu
·
Limin Wang
·
Kai Ma
Multimedia Computing Group, Nanjing University | Platform and Content Group (PCG), Tencent
checkpoint of paper "SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation" in GGUF format, which coverted from Kijai weight by ComfyUI-GGUF. It offers lower cost in Kijai ComfyUI.RuntimeError: expected scalar type Float but found BFloat16, please pull the latest code of Kijai ComfyUI.If you find our paper or this codebase useful for your research, please cite us.
@misc{zhang2025steadydancer,
title={SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation},
author={Jiaming Zhang and Shengming Cao and Rui Li and Xiaotong Zhao and Yutao Cui and Xinglin Hou and Gangshan Wu and Haolan Chen and Yu Xu and Limin Wang and Kai Ma},
year={2025},
eprint={2511.19320},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2511.19320},
}
4-bit
5-bit
6-bit
Base model
Wan-AI/Wan2.1-I2V-14B-480P