Instructions to use Muapi/pocahontas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/pocahontas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wan-ai/Wan2.1-T2V-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/pocahontas") prompt = "A man with short gray hair plays a red electric guitar." output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- b41d52d8ad81564485849fce0b09218b22a08fca5ae9f1f1b6bcd30cf34e3cbf
- Size of remote file:
- 3.75 MB
- SHA256:
- 1a73eee87fd71ab4af5050e9805e1cf254525ae3a9819d6b57bb188f58186bf0
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