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:
- 39611b61fe3de8256075be2f2a2c12a979ea65b18724759e616fd76fbbc4ee26
- Size of remote file:
- 1.82 GB
- SHA256:
- 9c1141e89b962a03fc32ed6c5fc14bff3fcdb76f48830f632965a6d1d0935369
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