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", 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:
- c88a27f33888ee5faafc3e31f1975fc1c2e5c9fe1ae0488b3186e17d13b1f151
- Size of remote file:
- 3.26 GB
- SHA256:
- 4328ffff95c910c1d058196b4023a9146a1f53c168cc090d84e1d5c4de85c376
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