Instructions to use Muapi/bustysophie-wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/bustysophie-wan 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/bustysophie-wan") 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:
- d4de616833d1d0935c54afa86c60ee33879a78b1b7f757cfe1eaf51a6cf43675
- Size of remote file:
- 1.46 MB
- SHA256:
- 8cf24dcd9afc018b5dc40d449b917c9b73d79be046c6c434c1d8a8229716d57c
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