Instructions to use thucdangvan020999/lip_sync with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thucdangvan020999/lip_sync with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("thucdangvan020999/lip_sync", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeae27ea1333a13f4fe15e6e37cba4d1cfa73f1290d844f1ef56625c42c9eea9
- Size of remote file:
- 1.49 GB
- SHA256:
- 38fa63bad3ed2332f647c40a5dc616cb0e233db8579f698f62af4c41965c4da5
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