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.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 63,9–64,1 MB
- Versão
- vRevision 8110204
- Atualizado
- 20 de out. de 2026
- Downloads
- 0
- Fonte
- Hugging Face
Descrição da fonte
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.
Usage
Code for using model you can obtain in our repo.
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')
Fontes
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Fontes
1 fonteVerificado 20 de out.
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Artefatos de modelo
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Artefatos de modelo
3 artefatosTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- 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') ```
Source context: 0 downloads · 266 likes · Repo ai-forever/Real-ESRGAN
Source context: 0 downloads · 251 likes · Repo ai-forever/Real-ESRGAN
