Instructions to use Muapi/usada-pekora-wan2.1-14b-t2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/usada-pekora-wan2.1-14b-t2v 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/usada-pekora-wan2.1-14b-t2v") 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:
- 976123545c7e27802b9b15964e8f08ebe2bc57dff51f0471e86aebdd1f1ae6d0
- Size of remote file:
- 307 MB
- SHA256:
- f81ed3695da83b78367323aed9cab7ebf3f2ac6af97293214fc7bf04b59555dc
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