Instructions to use Wan-AI/Wan2.2-T2V-A14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wan-AI/Wan2.2-T2V-A14B-Diffusers 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/Wan2.2-T2V-A14B-Diffusers", 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:
- 3635902ef47dbdcb0569b71e64a8c748e0d48731fcae6ed4bec75338d468cb9b
- Size of remote file:
- 307 kB
- SHA256:
- 97ef99c13c8ae717a8a11c8d8ec927b69077c647cc6689755d08fc38e7fbb830
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