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_landmark_detector.data from talkyon/scribis_models: direct link, hf CLI and curl.
- Browser
- Download file 2.4 MB
-
https://huggingface.co/talkyon/scribis_models/resolve/main/mediapipe/float/face_landmark_detector.data
- Command line
-
hf download hf://talkyon/scribis_models/mediapipe/float/face_landmark_detector.data
-
curl -L -o face_landmark_detector.data https://huggingface.co/talkyon/scribis_models/resolve/main/mediapipe/float/face_landmark_detector.data
2.4 MB
- Xet hash:
- 2f614100cdd736f8df04a0188379062c7a0c3d5cb1583feabe8226e6a366ad0d
- Size of remote file:
- 2.4 MB
- SHA256:
- 436cf54f67b5cb70bb60c413fae38ad3d58c8c325a23e20fe5ea3fda8b1d2425
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