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:
- ea1d20af6e607ffa14e06705a792f18096630349a9f031a439832786dfaa766e
- Size of remote file:
- 3.4 GB
- SHA256:
- 9b1a24c1c7594a0a25fd80c794fb28e9ce44138fb0725ce7e78fadc5a8c1155f
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