Instructions to use hacksider/deep-live-cam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hacksider/deep-live-cam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hacksider/deep-live-cam", 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 best_unet_model.onnx
Browse files- best_unet_model.onnx +3 -0
best_unet_model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8476a7cb4e487ee47dc4a085d7e3efd71fec1d0f1409b13a97af00db10aa96b
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size 124230768
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