Image-to-Video
Diffusers
Safetensors
English
Chinese
vace
video generation
video-to-video editing
refernce-to-video
Instructions to use Wan-AI/Wan2.1-VACE-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.1-VACE-14B 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("Wan-AI/Wan2.1-VACE-14B", 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
Wan-AI/Wan2.1-VACE-14B-Opus
#11 opened 10 months ago
by
superhumanitarian
Improve model card: Update pipeline_tag, add library_name, and include NABLA paper details
#10 opened 11 months ago
by
nielsr
VACE + 3D stereo camera option - new feature idea
2
#9 opened 12 months ago
by
MavenDE
Running the full model?
3
#8 opened 12 months ago
by
mm3082
Add video-to-video pipeline tag
🚀 1
#6 opened about 1 year ago
by
linoyts
Upload _xp_.prince-20250521-0001.mp4
#5 opened about 1 year ago
by
instafamesmmpane
super market
#4 opened about 1 year ago
by
Wrldkhalifa
🔥🔥🔥本地部署与使用完整视频教程
#2 opened about 1 year ago
by
leo009
Updated it to work with 1.3 B preview code
#1 opened about 1 year ago
by
HarshvardhanCn01