Aiarty Video Enhancer
Aiarty Video Enhancer
At Aiarty, we believe that great video enhancement shouldn’t come at the cost of time or complexity. That’s why we built our AI Video Enhancer with one goal in mind: to deliver stunning visual improvements — fast.
In this section, we’ll take you behind the scenes to show you how it works. From speed tests that prove our performance, to the acceleration technologies that power it, to the AI models that handle everything from upscaling to denoising — and finally, side-by-side comparisons that speak for themselves.
Discover the technology that transforms your videos with speed, intelligence, and clarity.
Many AI video enhancers today suffer from long wait times and sluggish performance. So, how long does Aiarty Video Enhancer take? Below is its speed performance.
Tested on NVIDIA GeForce RTX 5090 GPU, 2K to 4K upscaling
7FPS
enhancers
20FPS
with Turbo off
30FPS
with Turbo on
Processes atOn an RTX 5090, Aiarty upscales 2K footage to 4K with exceptional speed and efficiency. Without Turbo mode, it maintains a steady 20 FPS, processing a 1-minute video in approximately 90 seconds. With Turbo enabled, performance jumps to 30 FPS, completing the same task in just 60 seconds. Competing tools on identical hardware struggle to reach 7 FPS — Aiarty delivers unmatched speed and real-world efficiency, setting a new standard in video enhancement.
Aiarty's AI models are engineered for peak efficiency, driving GPU utilization up to an impressive 95%. This far surpasses the typical 55% utilization seen with other video enhancers.
Aiarty’s AI models are finely pruned and compressed for maximum efficiency. With precision optimization and a cutting-edge inference architecture, they achieve an exceptional balance between processing speed and visual quality.
Aiarty is fully optimized for NVIDIA, AMD, and Intel GPUs—with dedicated training for NVIDIA RTX 30, 40, and the latest 50 series powered by Blackwell.
Our AI models not only deliver high-quality output but also ensure fast video processing.
Aiarty currently offers three carefully developed AI models: moDetail-HQ v2, Smooth-HQ v2, and superVideo vHQ. All of them are well optimized for fast inference speed and exceptional video quality. Instead of creating numerous case-specific models, we focus on building a select few that are highly generalizable and effective. These models are trained on a dataset of 2.38 million diverse videos, enabling strong performance across a wide range of real-world video types.
moDetail-HQ v2 is designed to enhance clarity and bring out intricate visual details with high precision. By combining the realism of diffusion models with the sharpness of GAN-based reconstruction, this model excels at deblurring, denoising, and generating texture-rich frames. It's particularly effective for content where detail matters most—such as faces, hair strands, and natural scenery.
Powered by pure diffusion technology, Smooth-HQ v2 delivers balanced deblurring and denoising while preserving natural textures and true-to-life colors. It gently removes noise and imperfections without over-processing, making it ideal for enhancing everyday videos with a soft, clean finish. Whether you're working with footage of people, indoor environments, or moderately flawed scenes, Smooth-HQ ensures a smooth and authentic look with minimal artifacts.
Combining the strengths of Diffusion and GAN technologies, superVideo is built specifically for denoising in extreme low-light conditions. It excels at recovering details and reducing noise in very dark scenes, including night skies, urban landscapes after dusk, or dimly lit indoor footage. Despite its slower processing speed, superVideo delivers exceptional clarity and texture retention where noise suppression is critical. It’s the go-to model for enhancing heavily shadowed or grainy clips with professional-grade quality.
We’ve applied fine-grained pruning to our AI models and optimized precision calculations to reduce computational overhead. These improvements significantly compress model size and increase inference efficiency — ensuring excellent visual results while enabling faster, smoother video processing, even for large volumes of data.
We leverage NVIDIA's latest TensorRT 10.9 and CUDA asynchronous functions/memory pools for highly parallelized data processing. This synergy delivers optimal frame rendering, ensuring excellent performance and energy efficiency for video super-resolution in real-time and batch processing.
To overcome the traditional frame-by-frame bottleneck in serial video processing, we’ve adopted an industrial-grade pipeline architecture that transitions video tasks from synchronous, serial execution to a highly efficient asynchronous model. This allows the GPU to operate at high load and high utilization at all times.
We put Aiarty to the test across various input resolutions and upscaling factors on two popular NVIDIA GPUs. Below are the measured processing speeds (Frames Per Second) achieved with our three distinct AI models: moDetail-HQ v2, Smooth-HQ v2, and superVideo vHQ.
Input Resolution
Input Resolution
From grain and noise to low resolution and blurriness, Aiarty intelligently enhances your videos with advanced AI-driven algorithms. No matter the problem, our enhancer restores clarity, sharpness, and detail—bringing your footage back to life with just one click.
Limited-Time Offer: Try Our Test Video and Get a Free 180-Day License!
Download a test video, enhance it with Aiarty Video Enhancer, and share your result — or any showcase video — on social media. Then email the link to contact@aiarty.com to receive your free 180-day license code.
Video noise—often caused by high ISO and low-light conditions—significantly degrades video quality by introducing graininess. All three of Aiarty’s enhancement models deliver powerful denoising, with superVideo vHQ model specially optimized for extreme low-light scenes using advanced Diffusion and GAN technologies.
Our intelligent denoising technology distinguishes random noise from real image details, effectively removing grain without sacrificing sharpness. Whether it’s night skies, urban nightscapes, or dimly lit interiors, superVideo provides industry-leading noise reduction and detail recovery, even in severely dark footage.
Blurry videos can result from motion blur, low resolution, or compression during transmission—leading to loss of edge clarity and fine textures.
Aiarty’s moDetail-HQ model tackles this with advanced Diffusion and GAN technology, delivering powerful deblurring while recovering intricate details like hair and foliage.
For a more subtle and natural correction, Smooth-HQ uses pure diffusion to restore clarity in a balanced, artifact-free way.
Low-resolution videos often appear blurry or pixelated on today’s high-resolution displays, making upscaling to 1080P or even 4K essential.
Unlike traditional interpolation methods that simply stretch pixels, our AI-driven upscaling intelligently reconstructs missing details and boosts resolution—delivering sharp, natural-looking videos even after significant enlargement.
Over-compressed videos may show blocky textures, banding, or color blotches—especially around edges and motion areas. These artifacts severely degrade the viewing experience.
With models like Smooth-HQ, Aiarty gently removes these compression-induced flaws while preserving color continuity and structure. It ensures smooth transitions, sharper lines, and artifact-free visuals in re-encoded or shared videos.
Some videos may appear clean at first glance but suffer from lack of real texture or fine elements—typically due to over-processing, noise filtering, or sensor limitations.
Aiarty’s moDetail-HQ is especially effective here, rebuilding missing texture and enhancing micro-details without introducing artifacts.
Old footage often suffers from low resolution, low frame rate, blur, and heavy noise, resulting in a dull and degraded viewing experience.
Aiarty enhances such videos by intelligently increasing resolution, boosting frame rate for smoother playback, and removing blur and noise—restoring clarity while preserving natural detail.
1. How long does Aiarty Video Enhancer take?
The processing time of Aiarty Video Enhancer varies depending on several factors, including the video’s resolution, duration, selected AI model, upscaling settings, and your computer’s hardware capabilities. In general, the higher the resolution and the more complex the model, the longer it takes to process.
For instance, on a high-end GPU like the NVIDIA RTX 5090, upscaling a 2K video to 4K without enabling Turbo mode achieves a processing speed of around 20 frames per second (fps). With Turbo mode enabled, the speed increases to about 30 fps, meaning a 1-minute video at 30 fps (1,800 frames total) would take approximately 60 to 90 seconds to complete, depending on whether Turbo is on.
Even mid-range GPUs like the RTX 4060 deliver impressive performance. For example, enhancing a standard 720x480 video using the "Smooth" model with a 1x upscale on the RTX 4060 can reach 86.2 fps, allowing Aiarty to process a 1-minute, 30 fps video in just about 21 seconds. When upscaling the same video to 2x, the speed is around 29.2 fps, and the processing time would be roughly 62 seconds — still close to real-time.
Aiarty Video Enhancer offers exceptional speed compared to most AI enhancers on the market. Not only does it render fast, but it also loads models quickly and minimizes waiting for inference. Once started, the inference itself runs at high speed.
2. How to make Aiarty Video Enhancer run faster?
To make Aiarty Video Enhancer run faster, there are several tips you can follow to optimize performance.
First, enable the Turbo Mode in the settings if available — this can significantly boost processing speed, especially when working with high-resolution videos.
Second, choose a lighter AI model "Smooth-HQ v2" or "moDetail-HQ v2" instead of heavier one "superVideo vHQ" if your priority is speed over maximum enhancement quality.
Additionally, your hardware setup plays a critical role. Using a more powerful GPU, especially an NVIDIA card with TensorRT support and higher compute capability (e.g., RTX 4060, 4070, or above), can greatly accelerate the processing. Make sure your system meets or exceeds the minimum requirements, including at least 8GB of RAM and a DirectX 12-compatible GPU with 4GB or more of VRAM.
Lastly, close unnecessary background applications to free up system resources and ensure that Aiarty can fully utilize your hardware during enhancement tasks.
3. What are the minimum requirements for Aiarty Video Enhancer?
To run Aiarty Video Enhancer, your system must meet the following minimum requirements. The software supports Windows 10 (x64) version 1809 or above, and requires a CPU based on an x86-64 (AMD64 or Intel64) architecture. At least 8GB of RAM is necessary, though 16GB or more is recommended for smoother operation, especially when processing high-resolution videos.
For details about supported GPUs and acceleration technologies, please refer to Question 4.
4. What GPU is needed for Aiarty Video Enhancer?
To run Aiarty Video Enhancer, your GPU must at minimum support DirectX Feature Level 12.0 to enable DirectML acceleration. This means integrated or dedicated graphics cards from AMD GCN 1st Gen (Radeon HD 7000 series), Intel Haswell (4th-gen Core), or NVIDIA Kepler (GTX 600 series) and above may be compatible — as long as they support this feature level. A minimum of 4GB VRAM is required, though 8GB or more is recommended for stable performance.
For faster inference, Aiarty supports TensorRT acceleration, which requires an NVIDIA GeForce 20 series or newer GPU that supports Compute Capability 7.5 or higher — including GTX 2050, RTX 3050, RTX 4050, or RTX 5060 (Blackwell architecture). TensorRT acceleration is not available on older GPUs such as the NVIDIA 10 series, due to dropped support for Pascal architecture in TensorRT 10.9.
To ensure full functionality, especially with TensorRT, make sure your NVIDIA graphics drivers are up to date.
5. Which AI video model to use? What is the best AI model of Aiarty Video Enhancer?
Picking the right AI model depends on what kind of video you have and what you want to improve:
▪ moDetail-HQ v2 model is your go-to if your video has lots of tiny details like hair, plants, or outdoor scenes with natural textures. It sharpens and cleans up those fine elements really well, making your footage look crisp and vivid — especially great for daytime nature shots and portraits.
▪ Smooth-HQ v2 model is perfect for everyday videos, like indoor scenes, family footage, or older recordings such as VHS tapes. It smooths out imperfections while keeping colors and textures natural, so your video looks clean and polished without feeling over-processed.
▪ superVideo vHQ model is specialized for super dark or low-light videos, like night scenes or dimly lit interiors. It’s a bit slower but excels at removing noise and bringing out details in tricky lighting conditions, giving you clearer footage when brightness is low.
There’s no single “best” model—each one shines in different scenarios. Just think about what matters most for your video: fine detail, natural smoothness, or low-light clarity—and pick accordingly.
6. Is Aiarty Video Enhancer really that good?
Yes—if you’re looking for a video enhancer that’s both fast and effective, Aiarty delivers. Unlike some tools that rely on bloated models or require lots of manual tweaking, Aiarty uses highly optimized AI models that are fast, stable, and easy to use. It sharpens blurry videos, removes noise, restores lost details, and even upscales to 4K—all with just a few clicks.
Thanks to our tailored use of Diffusion and GAN technologies, Aiarty achieves high visual quality without sacrificing performance. In real-world tests, it consistently outpaces many other video enhancers in both speed and clarity. Plus, it supports the latest GPUs (including RTX 50 series), enabling real-time enhancement on powerful machines.
Whether you're restoring old family footage, upscaling low-resolution clips, or fixing low-light recordings, Aiarty gets the job done—no complicated settings, no guesswork.
Turbo on