Instructions to use neithsan/wan21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neithsan/wan21 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("neithsan/wan21", 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:
- 45e314fa8bb472525e3caf728f0cc3c607bbc6244943628fa277ec21c803ccd1
- Size of remote file:
- 1.47 kB
- SHA256:
- 26a3f00162fcf215e03c2cedd50cf2290f2896118cd374c5613de40041a82dc1
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