Instructions to use miguelamendez/openlipsync with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use miguelamendez/openlipsync with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("miguelamendez/openlipsync", 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
Download src/__init__.py from miguelamendez/openlipsync: direct link, hf CLI and curl.
- Browser
- Download file 18 Bytes
-
https://huggingface.co/miguelamendez/openlipsync/resolve/main/src/__init__.py
- Command line
-
hf download hf://miguelamendez/openlipsync/src/__init__.py
-
curl -L -o __init__.py https://huggingface.co/miguelamendez/openlipsync/resolve/main/src/__init__.py
18 Bytes
| import latentsync | |