Instructions to use wangbei1/wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangbei1/wan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangbei1/wan", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from wangbei1/wan: direct link, hf CLI and curl.
- Browser
- Download file 614 kB
-
https://huggingface.co/wangbei1/wan/resolve/main/.gitattributes
- Command line
-
hf download hf://wangbei1/wan/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/wangbei1/wan/resolve/main/.gitattributes
614 kB
File too large to display, you can check the raw version instead.