Duplicate from ai-forever/Real-ESRGAN

Co-authored-by: ai-forever <ai-forever@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,27 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text 
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,40 @@
+---
+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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c830d067d54fc767b9543a8432f36d91bc2de313584e8bbfe4ac26a47339e899
+size 67061725

RealESRGAN_x4.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa00f09ad753d88576b21ed977e97d634976377031b178acc3b5b238df463400
+size 67040989

RealESRGAN_x8.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b72fb469d12f05a4770813d2603eb1b550f40df6fb8b37d6c7bc2db3d2bff5e
+size 67189359