ai-forever / real-esrgan Goto Github PK

PyTorch implementation of Real-ESRGAN model

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%

python pytorch super-resolution esrgan real-world-super-resolution real-esrgan

real-esrgan's Introduction

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.

This is not an official implementation. We partially use code from the original repository

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.

You can try it in google colab

Installation

pip install git+https://github.com/sberbank-ai/Real-ESRGAN.git

Usage

Basic usage:

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')

Examples

Low quality image:

Real-ESRGAN result:

Low quality image:

Real-ESRGAN result:

Low quality image:

Real-ESRGAN result:

real-esrgan's People

Contributors

Stargazers

Watchers

Forkers

neuroidss osushiski kendrick90 abrahm1234 alexwortega jjandnn zhouyang-bigdata zeroshot-ai johnnyracer pltnk boentsai tfius rkhomyk boomb0om doevent andra297 dicksondickson dinosaurtirex antonietamg apablazayevenes cavecafe zaidorx requaos errord theprintsco aolopezeafit bukast99 lwd-temp sergiipolokhalo xyt2008 danielhv10 jiangming6600 syedusama5556 ksp7273 ocelo-tl mayankagwl antron2023 brunokk ifgcguitarclub younyokel icommerece androidshu hitlmt akasitskyi nunombispo jean4626 xcaspad cxz andfathappy hackhim yayalaressa fdoperezi holwech bc96 ericpesto happyeungin aiwongs rishabh063 didimidi86 willwillis likerainday an1oha ngohaituan rcadecaro ogfan namdori61 smukherjee1do gradient-ai alaaeldinn hoijuwon bvallegc saieeshsrao matthewpaternsot ipmanlk lostidol355 appliedi bashirhassan-appness doka-nt techthiyanes chenxy1986 whiterose199187 lihuibng madeoka prince90000 hootan09 72577393 neha-alt-coder linoli26 rstacx alisson-1 rohitk88k fadeinstudio rifqi2109 kusandriadi a43501 raksha-18-07-2002 nick088official pendekarcode niya12-gif parsakhavarinejad

real-esrgan's Issues

Can it process images in batches?

To speed things up

It is not working anymore

the images are not upscaled

RealESRGAN_x8.pth creating issue

I tried to test RealESRGAN_x8.pth model via your colab notebook. Got an error-

RuntimeError Traceback (most recent call last)
in ()
9
10 model = RealESRGAN(device, scale=4)
---> 11 model.load_weights('weights/RealESRGAN_x8.pth')

1 frames
/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py in load_state_dict(self, state_dict, strict)
1496 if len(error_msgs) > 0:
1497 raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
-> 1498 self.class.name, "\n\t".join(error_msgs)))
1499 return _IncompatibleKeys(missing_keys, unexpected_keys)
1500

RuntimeError: Error(s) in loading state_dict for RRDBNet:
Unexpected key(s) in state_dict: "conv_up3.weight", "conv_up3.bias".

Could you please share training info and code? :)

Want to train/fine-tune my own version of this amazing upscaler so it works better at upscaling icons...

How do i train this on custom dataset?

Great repo. How do I train this on my own dataset? I noticed there was a similar issue raised but the link you provided there doesn't work anymore

batch inference

batch inference dont seem to be working. Would you mind to provide an example of batch inference for model.predict. It seems that it only works for the batch size of 1.

For Video?

I am pleased with your work; the level of completeness is really professional!
What should I do if I want to upscale a video on colab?
I tried to place sequentially numbered images created using ffmpeg in the inputs directory, but an error occurred.
This is the traceback.

FileNotFoundError Traceback (most recent call last)
in ()
2 result_image_path = 'results/sr_img%4d.jpg'
3
----> 4 image = Image.open(path_to_image).convert('RGB')
5 sr_image = model.predict(np.array(image))
6

/usr/local/lib/python3.7/dist-packages/PIL/Image.py in open(fp, mode)
2841
2842 if filename:
-> 2843 fp = builtins.open(filename, "rb")
2844 exclusive_fp = True
2845

FileNotFoundError: [Errno 2] No such file or directory: 'inputs/img%4d.jpg'

Visual artefacts present in upscaled images when device is set to 'mps'

To see the code, please refer to: https://github.com/ericpesto/stable-diffusion-mac-background-image-generator/blob/b1b14ea9b7fbefd1976478f4becfd5d529b2a956/main.py#L66-L74

LOSS FUNCTION TO TRAIN

Hi !
Thanks alot for this repo.. I wish to train realSRGAN on custom data using Pytorch Lightning. And for that I require the LOSS function and optimizer details. Would request you to provide that.

Thank You
Varun

UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')

Not working with other esrgan based upscalers

Hi, I've tried using foolhardi remacry and country roads but got these errors:

python utest.py
Traceback (most recent call last):
File "utest.py", line 9, in
model.load_weights('upscaler/4x_CountryRoads_377000_G.pth', download=False)
File "/home/alexblattnershalom/.local/lib/python3.8/site-packages/RealESRGAN/model.py", line 55, in load_weights
self.model.load_state_dict(loadnet, strict=True)
File "/usr/local/lib/python3.8/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for RRDBNet:
Missing key(s) in state_dict: "conv_first.weight", "conv_first.bias", "body.0.rdb1.conv1.weight", "body.0.rdb1.conv1.bias", "body.0.rdb1.conv2.weight", "body.0.rdb1.conv2.bias", "body.0.rdb1.conv3.weight", "body.0.rdb1.conv3.bias", "body.0.rdb1.conv4.weight", "body.0.rdb1.conv4.bias", "body.0.rdb1.conv5.weight", "body.0.rdb1.conv5.bias", "body.0.rdb2.conv1.weight", "body.0.rdb2.conv1.bias", "body.0.rdb2.conv2.weight", "body.0.rdb2.conv2.bias", "body.0.rdb2.conv3.weight", "body.0.rdb2.conv3.bias", "body.0.rdb2.conv4.weight", "body.0.rdb2.conv4.bias", "body.0.rdb2.conv5.weight", "body.0.rdb2.conv5.bias", "body.0.rdb3.conv1.weight", "body.0.rdb3.conv1.bias", "body.0.rdb3.conv2.weight", "body.0.rdb3.conv2.bias", "body.0.rdb3.conv3.weight", "body.0.rdb3.conv3.bias", "body.0.rdb3.conv4.weight", "body.0.rdb3.conv4.bias", "body.0.rdb3.conv5.weight", "body.0.rdb3.conv5.bias", "body.1.rdb1.conv1.weight", "body.1.rdb1.conv1.bias", "body.1.rdb1.conv2.weight", "body.1.rdb1.conv2.bias", 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this is the code I used:

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('upscaler/4x_CountryRoads_377000_G.pth', download=False)

path_to_image = 'Lout.png'
image = Image.open(path_to_image).convert('RGB')

sr_image = model.predict(image)

sr_image.save('u.png')

this is where I got the models:
https://huggingface.co/uwg/upscaler/tree/main/ESRGAN

License?

Fine tuning or training code

Hi,
Is there a way to fine tune or train the models on a new dataset?

Easy installation

Adding the setup scripts can enable easy installation via pip.

Why does x8.pth have the same effect as x2.pth

No module found error

from RealESRGAN import RealESRGAN
ModuleNotFoundError: No module named 'RealESRGAN'

how to support "--face_enhance"

how to support "--face_enhance"?

Like this script: python inference_realesrgan.py -n RealESRGAN_x2plus -i upload --outscale 2 --tile 0 --face_enhance

Test

How to modify the configuration file to be able to train an x8 model

How to modify the configuration file to be able to train an x8 model？
https://github.com/xinntao/Real-ESRGAN/blob/master/options/finetune_realesrgan_x4plus.yml

Runtime error on RealESRGan-x4 anime 6B

Except provided model, Other upscaling model such as anime version not working

raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for RRDBNet:
Missing key(s) in state_dict: "conv_first.weight", "conv_first.bias", "body.0.rdb1.conv1.weight", "body.0.rdb1.conv1.bias", "body.0.rdb1.conv2.weight", etc...

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