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
Download rife.onnx from hacksider/deep-live-cam: direct link, hf CLI and curl.
- Browser
- Download file 21.5 MB
-
https://huggingface.co/hacksider/deep-live-cam/resolve/main/rife.onnx
- Command line
-
hf download hf://hacksider/deep-live-cam/rife.onnx
-
curl -L -o rife.onnx https://huggingface.co/hacksider/deep-live-cam/resolve/main/rife.onnx
21.5 MB
- Xet hash:
- b4040b0af43821910239ff07813e02773972e15a70c9284829b03e3891808f1a
- Size of remote file:
- 21.5 MB
- SHA256:
- 76e4cef9ab42fa7dd4e8f6e4aba47462051e3faa969e4bca6479784fbab0ac6f
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