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:
- 73cddabe5500b2aad1919e7961e999d5e12201da67b3448b9c40c9143fe1b328
- Size of remote file:
- 20.6 MB
- SHA256:
- f5a4bd656c143899fb7f52d64ed81e6f6aeb37d477a0b6da50146ac7cf2187bf
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