Instructions to use Muapi/breathing-fire with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/breathing-fire 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/breathing-fire") 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:
- ef335716507deef2f4e9c89a58866d042ec28aeb451ef00fdc13198025d51e5a
- Size of remote file:
- 906 kB
- SHA256:
- 0b143548a6d89618e3bc279f3e9e8ff81b6371607d4b05308efbe4feda8cbaca
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