Instructions to use Wan-AI/Wan2.1-I2V-14B-720P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.1-I2V-14B-720P 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-I2V-14B-720P", 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Download Wan2.1_VAE.pth from Wan-AI/Wan2.1-I2V-14B-720P: direct link, hf CLI and curl.
- Browser
- Download file 508 MB
-
https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P/resolve/main/Wan2.1_VAE.pth
- Command line
-
hf download hf://Wan-AI/Wan2.1-I2V-14B-720P/Wan2.1_VAE.pth
-
curl -L -o Wan2.1_VAE.pth https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P/resolve/main/Wan2.1_VAE.pth
508 MB
- Xet hash:
- e76ecc1852e7e4ad207ef12643d8f1266d0f70988a2fdd299f5cad626c1e4639
- Size of remote file:
- 508 MB
- SHA256:
- 38071ab59bd94681c686fa51d75a1968f64e470262043be31f7a094e442fd981
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