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:
- fa1c26ddc77e4f5c0847ae04a1736631db9a4cabcfe960a2af946da99c521bce
- Size of remote file:
- 1.82 GB
- SHA256:
- ee626231c18080086dc8cb4847988182dd5fa0037f8fd8c114a9807a3c1fa331
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