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---
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#
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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.
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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.
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- [Paper](https://arxiv.org/abs/2107.10833)
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- [Original implementation](https://github.com/xinntao/Real-ESRGAN)
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- [Our github](https://github.com/sberbank-ai/Real-ESRGAN)
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## Usage
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Code for using model you can obtain in our [repo](https://github.com/sberbank-ai/Real-ESRGAN).
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```python
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import torch
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from PIL import Image
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import numpy as np
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from RealESRGAN import RealESRGAN
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device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model = RealESRGAN(device, scale=4)
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model.load_weights('weights/RealESRGAN_x4.pth', download=True)
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path_to_image = 'inputs/lr_image.png'
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image = Image.open(path_to_image).convert('RGB')
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sr_image = model.predict(image)
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sr_image.save('results/sr_image.png')
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```
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title: Upscaler Aliah
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emoji: 🚀
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colorFrom: blue
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colorTo: green
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sdk: gradio
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sdk_version: 4.44.0
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app_file: app.py
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pinned: false
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# Upscaler de Imágenes
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Este espacio aumenta el tamaño y la calidad de tus imágenes usando Real-ESRGAN.
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