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@@ -26,12 +26,14 @@ This repository contains the pre-trained weights and code to use the FELGUK Upsc
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  ## Model Details
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- - **Model Name**: FELGUK Upscaler
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- - **Architecture**: Based on advanced deep learning techniques for image super-resolution.
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- - **Input**: Low-resolution images (e.g., 128x128, 256x256)
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- - **Output**: High-resolution images (e.g., 512x512, 1024x1024)
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- - **Training Data**: Trained on a diverse dataset of high-quality images.
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- - **License**: MIT
 
 
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  ## Installation
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  ## Model Details
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+ | Attribute | Description |
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+ |-------------------|-----------------------------------------------------------------------------|
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+ | **Model Name** | FELGUK Upscaler |
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+ | **Architecture** | Based on advanced deep learning techniques for image super-resolution. |
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+ | **Input** | Low-resolution images (e.g., 128x128, 256x256) |
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+ | **Output** | High-resolution images (e.g., 512x512, 1024x1024) |
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+ | **Training Data** | Trained on a diverse dataset of high-quality images. |
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+ | **License** | MIT |
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  ## Installation
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