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:
- 1d5d4c12822c1ecfe24eb341c744e875e774e7362e63e42a82cf6e904addac07
- Size of remote file:
- 3.26 GB
- SHA256:
- dfc2be01ab474cf96090d1decde0af5a6dbbbdcc8cedd6eb3ac01b11fcb431ed
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