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@@ -6,7 +6,7 @@
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[](https://github.com/xinntao/Real-ESRGAN/blob/master/.github/workflows/pylint.yml)
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1. [Colab Demo](https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing) for Real-ESRGAN <a href="https://colab.research.google.com/drive/1k2Zod6kSHEvraybHl50Lys0LerhyTMCo?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="google colab logo"></a>.
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-2. [Portable Windows executable file](https://github.com/xinntao/Real-ESRGAN/releases). You can find more information [here](#Portable-executable-files).
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+2. [Portable Windows/Linux/MacOS executable files for Intel/AMD/Nvidia GPU](https://github.com/xinntao/Real-ESRGAN/releases). You can find more information [here](#Portable-executable-files).
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Real-ESRGAN aims at developing **Practical Algorithms for General Image Restoration**.<br>
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We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.
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@@ -52,11 +52,11 @@ If you have some images that Real-ESRGAN could not well restored, please also op
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### Portable executable files
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-You can download **Windows executable files** from https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.1/RealESRGAN-ncnn-vulkan-20210725-windows.zip
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+You can download **Windows/Linux/MacOS executable files for Intel/AMD/Nvidia GPU** from https://github.com/xinntao/Real-ESRGAN/releases
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This executable file is **portable** and includes all the binaries and models required. No CUDA or PyTorch environment is needed.<br>
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-You can simply run the following command:
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+You can simply run the following command (the Windows example, more information is in the README.md of each executable files):
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```bash
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./realesrgan-ncnn-vulkan.exe -i input.jpg -o output.png
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