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Have you ever made an AMV (Anime Music Video) or an anime edit that you were really proud of, but felt disappointed by the low quality of some of the clips? Maybe the resolution was too low or the video was grainy or blurry. If so, you're not alone. Fortunately, there's now a way to upscale these videos to a higher resolution and improve their overall quality using AI technology. And the best part? You can do it right from your browser using ESRGAN AI (Enhanced Super-Resolution Generative Adversarial Network). In this blog post, we'll dive into how ESRGAN can help you enhance your AMV clips and anime edits without needing to download any software or plugins.

What Is ESRGAN ?

ESRGAN AI (Enhanced Super-Resolution Generative Adversarial Network) is an advanced neural network architecture that uses machine learning to upscale low-resolution images and videos to a higher resolution. It is a type of GAN (Generative Adversarial Network) that consists of two neural networks: a generator network and a discriminator network. The generator network takes a low-resolution image as input and produces an upscaled version of the same image as output. The discriminator network evaluates the output of the generator network and provides feedback on how to improve it. Through an iterative training process, the generator network learns to produce high-quality upscaled images and videos that are difficult to distinguish from their high-resolution counterparts. ESRGAN has been shown to produce impressive results when applied to a variety of image and video upscaling tasks, including enhancing AMV clips and anime edit.


Whats special in this post ?

While ESRGAN AI is a powerful tool for upscaling low-resolution images and videos, training a new ESRGAN model or using an existing model to upscale large media files can be computationally demanding and require expensive hardware. Additionally, some existing services charge fees for using their ESRGAN-based upscaling solutions.

However today we will learn how can we use the same ai model on Google Colaboratory , which requires no intensive graphics card and stuff. Infact you can do this using your Mobile phone , all you need is just a web browser.

Below im adding all the necessary steps please go through them , collab notebook's link will be given at end of this post.

Step-1 open the notebook and click on connect runtime , after a while when you are connected just go to the runtime tab and change your runtime type to GPU.

if you opened the notebook for the first time it will show you a little warning like this notebook is authored by karantech999@gmail.com , click continue and connnect . after which you would be able to see the ram and disk alotted.


Your Notebook Settings should be looking something like this before we proceed any further.

Step-2  Execute the code present in the first shell , which will install the Ai Model from the github repository and also install all the dependencies.

Step-3  Now run the next shell , after a while you will get an option to choose your file to upscale , after selecting your footage it will get uploaded into your notebook .

One thing you have to make sure is your file's name is video.mp4 (all in lowercase) , if it is not already just open collab's file manager and head to /Real-ESRGAN/upload/ where you can locate the same file, just rename it to video.mp4.

Step-4  Its time to execute the final cell which will upscale your footage video.mp4 , pretty much after executing the cell you are done . 

But you can make a small tweak to increase scale of the upscale process , in the code of final cell you will find an argument as -s 2 , it implies the scale value is 200% , you can change the value to any integer upto 10 . However, make sure to keep it no more than 4 to avoid any crashes or errors .

After all the steps just run the last cell to download the upscaled footage .

Few Things to keep in mind.

  • Run the next cell only when the current cell is totally executed.
  • Disconnect and delete the runtime when you are done.

Thanks for your time and consideration in reading this post, mentioned link is given below.

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