Instructions to use Muapi/car-disappears with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/car-disappears 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/car-disappears") 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:
- c31d522e5607e899c43b2720f467b64a360d41022f7455a4986a89cebc2110e5
- Size of remote file:
- 1.16 MB
- SHA256:
- 9dd49bb631a8792d7c720de7208f80dd515ed7b33a30656293b77281c7bfbc76
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