Instructions to use Muapi/underwater with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/underwater 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/underwater") 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:
- c4752e912275c65a6eee34143d1ac78655cbf3841d20aa3f6aa1e8b1eef3201d
- Size of remote file:
- 1.07 MB
- SHA256:
- 858ef2085cf6a11dceeef9dcfb50dfebc4422a3f2e1a6182b1d97333a834ee23
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