Better than Both ChaiNNer & Lightroom COMBINED?

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I have always been searching for good image  upscalers that give the best result in the   easiest way possible, and preferably  free. Today, we are going to go through   this open-sourced AI image upscaler,  find the best settings for it to work,   see how you can install different custom  models to fine-tune it, and answer the   most important question: can it replace my  existing upscaling software? Let's find out. In my day-to-day usage, I  mainly use two image upscalers:   Adobe Lightroom and ChaiNNer. Adobe Lightroom  has a very smooth and user-friendly interface,   but it is expensive for most of the people that  are just starting out. On the other hand, Chainer   is very versatile but a little bit complicated for  most people due to its node-based structure. So,   I needed something that is either cheap  or free, I can easily use on the fly,   can be installed and used offline, and works  as good as, if not better than, these two. And that's when I stumbled upon Upscale.  You can check out their GitHub repo,   or you can directly go to upscayl.org and  download the installation file. You do not   need to sign up to download this software.  There are Linux, macOS, and Windows versions   available for this. I just need to mention  one thing: if you are downloading for macOS,   it is preferable to download the DMG  format directly because downloading   from the Mac Web App Store costs around $13.  Just download this software and install it. Once installed, it shows a pretty basic and  intuitive workflow. Click this button to select   the image. It already comes pre-equipped with six  different upscaler models, and for most parts,   those are already enough. They have also  mentioned which model is best for which   type of images. Generally, the upscale  models provided are 4X upscale models,   but you can also select 16X upscale by checking  this box here. It upscales your image twice,   thus making it 4X into 4X (16X upscale). Not only that, you can even upload an entire  folder and get all the images upscaled at   once. Just select "Batch Upscale" and select  the folder consisting of the images that you   want to upscale. That's it. Let us check out  the settings page for more minute controls.   You can change the theme from here. There  is an option to save the image as PNG, JPG,   or WebP. You can select whether you want to  post-process the images after they have been   upscaled. You can see 4X upscale is selected as  the base model here, but you can change it to even   2X or 3X. And the most interesting part is right  here: add custom models. You can create a folder,   put all your custom upscale models in there,  and use them as you like. But in my experience,   I never really needed anything else other  than what they have already provided. Now, here comes the question: if it is really  better than Lightroom or Chainer? In my opinion,   it's better than both Lightroom and Chainer  combined. Upscayl has this simple workflow   where you just upload your image, upscale  it, and walk away. You do not need to take   any extra steps if all you want to do is upscale  the image. And if we talk about its capabilities,   I already mentioned in my earlier videos:  ChaiNNer is the best upscaling model in my   opinion out there. You can customize it any  way you want with a plethora of different   upscale models, and all those upscaler  models that work in ChaiNNer also work   in Upscale without ever needing to fiddle  with custom nodes for you to get there. But even if I say that this is the best AI  image upscaler, you should not take my word   for it. If you want a detailed comparison  among all the popular image upscalers out   there and decide for yourself, you  should watch this video right here.
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Channel: Debargha Bhattacharjee
Views: 75
Rating: undefined out of 5
Keywords: generative ai, Stable diffusion, stable diffusion tutorial, ai, generative art, ai image, upscale, upscaler, ai upscale, enlarge, enlarge image, upscayl, chainner
Id: ejEAL6IoZ84
Channel Id: undefined
Length: 3min 37sec (217 seconds)
Published: Thu Apr 11 2024
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