Instructions to use Wan-AI/Wan2.1-T2V-1.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.1-T2V-1.3B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c176987828ce3f826fd5462d54e0eb55a1e3b4aee99b443a2485b6d1a1be172a
- Size of remote file:
- 1.6 MB
- SHA256:
- b1b23457157a494ebe834306962e927768830e26a2d51b896929d2d7cba54dd6
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