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 gpavatar_one_model.ckpt from hacksider/deep-live-cam: direct link, hf CLI and curl.
- Browser
- Download file 429 MB
-
https://huggingface.co/hacksider/deep-live-cam/resolve/main/gpavatar_one_model.ckpt
- Command line
-
hf download hf://hacksider/deep-live-cam/gpavatar_one_model.ckpt
-
curl -L -o gpavatar_one_model.ckpt https://huggingface.co/hacksider/deep-live-cam/resolve/main/gpavatar_one_model.ckpt
429 MB
- Xet hash:
- 3be25ce2899959f23797c44ed98ad8ae3ba8160175c2feb3e45075729e27323e
- Size of remote file:
- 429 MB
- SHA256:
- bd0695502f886f47c232ed6d40ec97a3ae0a8f8ef66025ece47f349be0f671df
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