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README.md

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+---
+language:
+- ru
+- en
+tags:
+- PyTorch
+thumbnail: "https://github.com/sberbank-ai/Real-ESRGAN"
+---
+
+# Real-ESRGAN
+
+PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original version. It is also easier to integrate this model into your projects.
+
+Real-ESRGAN is an upgraded ESRGAN trained with pure synthetic data is capable of enhancing details while removing annoying artifacts for common real-world images.
+
+- [Paper](https://arxiv.org/abs/2107.10833)
+- [Original implementation](https://github.com/xinntao/Real-ESRGAN)
+- [Our github](https://github.com/sberbank-ai/Real-ESRGAN)
+
+## Usage
+
+Code for using model you can obtain in our [repo](https://github.com/sberbank-ai/Real-ESRGAN).
+```python
+import torch
+from PIL import Image
+import numpy as np
+from RealESRGAN import RealESRGAN
+
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+
+model = RealESRGAN(device, scale=4)
+model.load_weights('weights/RealESRGAN_x4.pth', download=True)
+
+path_to_image = 'inputs/lr_image.png'
+image = Image.open(path_to_image).convert('RGB')
+
+sr_image = model.predict(image)
+
+sr_image.save('results/sr_image.png')
+```

RealESRGAN_x2.pth

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RealESRGAN_x4.pth

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RealESRGAN_x8.pth

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