Image Segmentation
MLX
apple-silicon
video-matting
green-screen
blue-screen
chroma-key
vfx
fp32
fp16
quantized
Instructions to use cdelta/CorridorKey-v2-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use cdelta/CorridorKey-v2-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download cdelta/CorridorKey-v2-MLX --local-dir CorridorKey-v2-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download assets/examples/redhead-input.png from cdelta/CorridorKey-v2-MLX: direct link, hf CLI and curl.
- Browser
- Download file 2.38 MB
-
https://huggingface.co/cdelta/CorridorKey-v2-MLX/resolve/main/assets/examples/redhead-input.png
- Command line
-
hf download hf://cdelta/CorridorKey-v2-MLX/assets/examples/redhead-input.png
-
curl -L -o redhead-input.png https://huggingface.co/cdelta/CorridorKey-v2-MLX/resolve/main/assets/examples/redhead-input.png
2.38 MB

- Xet hash:
- ca46930fc849a370da168c5b73ac8e474b9a4d6ec99c5c910babb836ef2c3ca4
- Size of remote file:
- 2.38 MB
- SHA256:
- ef1e5b6a1daf2e29db36f0e03e5ed9b79966f4eedbafff6af6cf9e2a4f6e078e
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