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", 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:
- 38b2684cbbb48fce15b79a0a39c219d186633dfc397e9708fdfa307cd9757669
- Size of remote file:
- 151 MB
- SHA256:
- 9607f98a2b22d9e229ae43c52ecea79dcede9e0c5cfae67e8da6eda86d8aac1d
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