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README.md
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Automatic grayscale image colorization via dual decoders. 512×512 input.
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Core ML conversion of [piddnad/DDColor](https://github.com/piddnad/DDColor) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
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Automatic grayscale image colorization via dual decoders. 512×512 input.
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<p><img src="https://huggingface.co/mlboydaisuke/DDColor-Tiny-CoreML/resolve/main/media/0d8f0d4385.jpg" alt="DDColor Tiny demo" width="49%"> <img src="https://huggingface.co/mlboydaisuke/DDColor-Tiny-CoreML/resolve/main/media/c83e15a3b5.png" alt="DDColor Tiny demo" width="49%"></p>
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Core ML conversion of [piddnad/DDColor](https://github.com/piddnad/DDColor) for on-device inference on iPhone, iPad and Mac. Converted with `coremltools`; the packages are stateless, so all sequencing and buffering lives in your Swift code.
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