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
- Xet hash:
- 4a8a20c1734c72b8b466e9c2c23af754da424c3d63ea710b4789e6c6525f6baa
- Size of remote file:
- 19.9 MB
- SHA256:
- d6f8481beace721cf0439a95e785bcf8eb88010e880bcbb4e660ce02430df3c2
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