Image-to-Video
LivePortrait
ONNX
MLX
face-detection
face-recognition
face-landmark
talking-head
audio-driven-animation
joyvasa
auraface
mediapipe
apple-silicon
Instructions to use talkyon/scribis_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LivePortrait
How to use talkyon/scribis_models with LivePortrait:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use talkyon/scribis_models with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download talkyon/scribis_models --local-dir scribis_models
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download mediapipe/float/face_detector.onnx from talkyon/scribis_models: direct link, hf CLI and curl.
- Browser
- Download file 78.2 kB
-
https://huggingface.co/talkyon/scribis_models/resolve/main/mediapipe/float/face_detector.onnx
- Command line
-
hf download hf://talkyon/scribis_models/mediapipe/float/face_detector.onnx
-
curl -L -o face_detector.onnx https://huggingface.co/talkyon/scribis_models/resolve/main/mediapipe/float/face_detector.onnx
78.2 kB
- Xet hash:
- d978870d63a0a0e9eac2472fb56adb3ce291a0e555969d6cd2be24812590d19d
- Size of remote file:
- 78.2 kB
- SHA256:
- 7455604fc33f56a5f90b9489ef0fc30d8d8921c23b03ac1c74b95c9a2eb47108
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