Instructions to use Muapi/high-speed-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/high-speed-dynamic 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/high-speed-dynamic") 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:
- 6f87572909da25d39ed899dcccf8ee1c7d5e52f65ab6051c22f16440b41c950a
- Size of remote file:
- 8.22 MB
- SHA256:
- 05084deaced7d62fb8728788bf77307d92a957c6b5cb2cf783e70c37521e9805
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