Instructions to use vivym/MuseTalk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vivym/MuseTalk with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vivym/MuseTalk", 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:
- e89af50dbad4820376be5c40ef42f68e958adff502d88d7389c58c8a614aa676
- Size of remote file:
- 3.4 GB
- SHA256:
- 8ace5374fa489e8cef85dfdc744a5a333c116e0c531cc4bd823e225e5b05474c
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