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 paddleocr/SLANet_plus/SLANet_plus_encoder.mnn from talkyon/scribis_models: direct link, hf CLI and curl.
- Browser
- Download file 2.74 MB
-
https://huggingface.co/talkyon/scribis_models/resolve/main/paddleocr/SLANet_plus/SLANet_plus_encoder.mnn
- Command line
-
hf download hf://talkyon/scribis_models/paddleocr/SLANet_plus/SLANet_plus_encoder.mnn
-
curl -L -o SLANet_plus_encoder.mnn https://huggingface.co/talkyon/scribis_models/resolve/main/paddleocr/SLANet_plus/SLANet_plus_encoder.mnn
2.74 MB
- Xet hash:
- c93548c3e75c806535f3725aec11e80e834ac18f4dcce29a66493c5bfa91ee31
- Size of remote file:
- 2.74 MB
- SHA256:
- 05f6ea426e448fb41f61a4606ccac14b4ec0f52e0b6c50b1b23c01c4f47414b1
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