Instructions to use BadToBest/EchoMimic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BadToBest/EchoMimic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BadToBest/EchoMimic", 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:
- 8d514aaf20762b3e9474ae830032bff1009a943f1a571689974262709ede4120
- Size of remote file:
- 1.82 GB
- SHA256:
- bb461a37226036589c52b84aec9635370407b5eb7cad4f43c79a04f0280fdd53
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.