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  Blind face restoration with generative facial prior. Restores degraded face photos to high quality. 512×512 input/output.
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  Core ML conversion of [TencentARC/GFPGAN](https://github.com/TencentARC/GFPGAN) 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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  Blind face restoration with generative facial prior. Restores degraded face photos to high quality. 512×512 input/output.
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+ <p><img src="https://huggingface.co/mlboydaisuke/GFPGAN-CoreML/resolve/main/media/6970a085d4.png" alt="GFPGAN demo" width="49%"> <img src="https://huggingface.co/mlboydaisuke/GFPGAN-CoreML/resolve/main/media/8b1a4b3168.png" alt="GFPGAN demo" width="49%"></p>
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  Core ML conversion of [TencentARC/GFPGAN](https://github.com/TencentARC/GFPGAN) 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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