Instructions to use StevenZhang/Wan2.1-T2V-1.3B-Diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StevenZhang/Wan2.1-T2V-1.3B-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-1.3B-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:
- 0edf8fb0617a25b0caf94d8ead6b5237408454f7cc82978e7f2dd57f05d548c0
- Size of remote file:
- 5.68 GB
- SHA256:
- dd8d923aaa810641cda15b19bc222d0e7197bfd257f525c2ab2407bc52de1f69
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