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Aiarty Image Enhancer: Is It a Good AI Image Enhancer

Chris Gampat
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Last updated on 07/17/2024
07/29/2024
3 Mins read
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AI image enhancers have provided users with a convenient and user-friendly solution to improve image quality. By leveraging AI technology, these tools can automatically analyze image details and textures, intelligently repair image flaws, and significantly enhance image quality. Today, we’ll take a look at an AI image enhancement software called Aiarty Image Enhancer to see how it empowers users to effortlessly elevate their image quality. This tool is currently holding an unconditional giveaway, so you can grab one license and join us in exploring it. 

The article is presented in partnership with Aiarty. The Phoblographer is a member of the Content Authenticity Initiative and, therefore, works with brands on only presenting articles about AI in a way that we deem ethical and not replacing the work that photographers do.

Overview

Aiarty Image Enhancer currently features three AI models: More-Detail GAN v2, Smooth Diffusion v2, and Real-Photo v3, each designed to handle different types of images. These models can deblur and denoise images, making them clearer and sharper. The More-Detail GAN v2 model can even generate intricate details such as skin textures and animal fur.

Additionally, Aiarty offers AI image upscaling capabilities. Users can choose from preset resolutions (1K, 2K, 4K, 8K) or select magnification levels (1x, 2x, 4x, 8x), or customize the resolution. It can upscale images up to 32K. This makes it ideal for various needs such as printing and sharing on social media.

How Does Aiarty Work?

Aiarty boasts a user-friendly interface designed specifically to streamline image enhancement workflow. 

Getting started is as simple as dragging and dropping your desired image. Aiarty supports a wide range of image formats, including popular choices like JPG, PNG, and WEBP, along with less common formats like TIF and AVIF, and even RAW formats.

After loading images, Aiarty will automatically load AI models and analyze the image.

Once done, you can choose your preferred AI model and upscale preset to achieve your desired result. 

You can conveniently preview the result within the left-hand window. Once you’re satisfied, simply click the “RUN” button to export it.

Can Aiarty Truly Enhance Images?

Now, let’s take a closer look at how Aiarty handles images plagued by noise, blur, artifacts, and lost details by examining a few examples.

Example 1: Noisy image 

Result: Aiarty removes noise, revealing a smooth, clear complexion.

Example 2: Blurry architectural image 

Result: Details emerge, with sharper lines and defined textures.

Example 3: Compressed low-resolution image

Result: Compression artifacts vanish, replaced by a crisp image.

Example 4: Upscaled Portrait 

Result: Details like skin texture and hair are preserved with impressive clarity. 

How Fast is Aiarty?

Now let’s evaluate its image processing speed while using GPU and CPU.

Testing Environment:

System: Windows 10 Pro | 22H2

CPU: 13th Gen Intel(R) Core(TM) i7-13700K ~ 3418Mhz

RAM: 6GB/32GB

Graphics Cards: AMD Radeon RX 7600, 8GB dedicated memory, 16GB shared memory, 31.0.22023.1014 driver

Testing Results:

Using AMD Radeon RX 7600 GPU: Batch 2x upscaling 100 images around 1k resolution using the More-Detail GAN model took approximately 2 minutes only. This speed is 4 times faster than similar products. 

Using CPU: Processing the same batch with the same model took about 8 minutes, still significantly faster than competitors.

Conclusion

Our evaluations show that Aiarty Image Enhancer excels in image quality, processing speed, and ease of use. It caters to a wide range of users. Beginners will appreciate its intuitive interface and automated features. Users with limited hardware can benefit from its efficient processing, even on CPUs. Professionals seeking efficiency will find its AI-powered speed and quality enhancements invaluable. Additionally, Aiarty is now offering a free license, making it an attractive option for budget-conscious users.

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Chris Gampat is the Editor in Chief, Founder, and Publisher of the Phoblographer. He provides oversight to all of the daily tasks, including editorial, administrative, and advertising work. Chris's editorial work includes not only editing and scheduling articles but also writing them himself. He's the author of various product guides, educational pieces, product reviews, and interviews with photographers. He's fascinated by how photographers create, considering the fact that he's legally blind./ HIGHLIGHTS: Chris used to work in Men's lifestyle and tech. He's a veteran technology writer, editor, and reviewer with more than 15 years experience. He's also a Photographer that has had his share of bylines and viral projects like "Secret Order of the Slice." PAST BYLINES: Gear Patrol, PC Mag, Geek.com, Digital Photo Pro, Resource Magazine, Yahoo! News, Yahoo! Finance, IGN, PDN, and others. EXPERIENCE: Chris Gampat began working in tech and art journalism both in 2008. He started at PCMag, Magnum Photos, and Geek.com. He founded the Phoblographer in 2009 after working at places like PDN and Photography Bay. He left his day job as the Social Media Content Developer at B&H Photo in the early 2010s. Since then, he's evolved as a publisher using AI ethically, coming up with ethical ways to bring in affiliate income, and preaching the word of diversity in the photo industry. His background and work has spread to non-profits like American Photographic Arts where he's done work to get photographers various benefits. His skills are in SEO, app development, content planning, ethics management, photography, Wordpress, and other things. EDUCATION: Chris graduated Magna Cum Laude from Adelphi University with a degree in Communications in Journalism in 2009. Since then, he's learned and adapted to various things in the fields of social media, SEO, app development, e-commerce development, HTML, etc. FAVORITE SUBJECT TO PHOTOGRAPH: Chris enjoys creating conceptual work that makes people stare at his photos. But he doesn't get to do much of this because of the high demand of photography content. / BEST PHOTOGRAPHY TIP: Don't do it in post-production when you can do it in-camera.
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