Instructions to use StevenZhang/Wan2.1-T2V-14B-Diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StevenZhang/Wan2.1-T2V-14B-Diff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StevenZhang/Wan2.1-T2V-14B-Diff", 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
- Xet hash:
- 76e5148d3fe260277bd0b9e1e5d49f18de87beb0147d5c061abbd05af35d328e
- Size of remote file:
- 7.6 GB
- SHA256:
- 6a4dc88e1646f02bc91578449fc63051f7e2d6844647a8ad78a260bca1301903
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