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
Upload denoising_unet_pose_acc.pth
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by JoeFannie - opened
denoising_unet_pose_acc.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:236b5f92a56eb973d1a38618c5c21d1441252effd77cac2653d54133007013e2
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size 3400035733
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