Insider Tips for Using AI Video Upscaler & Enhancer Software
Quick summary:
Test different AI models since each excels in different areas.
Scaling choices impact results - experiment with step-up scaling and direct scaling.
Preview short clips before committing to full renders.
Find the right balance between speed and quality using settings and export options.
Consider upgrading your GPU or graphics card for better performance.
Before You Start, Understand AI Upscaling and Enhancing
AI upscaling isn’t just about making pixels bigger. It works by analyzing your footage and generating a plausible higher-resolution version based on patterns it has learned from vast amounts of similar video data.
The AI examines every frame, attempts to fill in missing details, sharpens textures, and predicts how those details should move over time. This process involves running billions of calculations on your GPU or CPU, often requiring multiple passes for noise reduction, sharpening, and fine detail adjustments.
Think of it like microwaving a frozen dinner versus having a chef prepare a fresh multi-course meal. Both fill you up, but one takes time and skill and tastes way better.If your source video contains clear features, the AI can enhance them effectively. When details are missing or degraded by grain, noise, blur, or artifacts, the AI still tries its best, making educated guesses to produce the most realistic result possible - that’s exactly how Aiarty Video Enhancer is trained and designed to work.
The Insider Tips and Best Practises for Using AI Upscaling and Enhancing
1. Pick the Right AI Model
Think of AI models like videographers. For example, they might all be good at portraits, but each has a different style, strengths, and way of seeing details.
Some focus on sharp eyes and clear skin in clean footage. Others are better at cleaning up noisy, low-light videos. Some smooth the noise aggressively, which can soften skin, while others keep fine details and natural grain.
Because of this, one model might make a video look amazing while another might not work as well. It’s always worth testing different models on short clips.Aiarty Video Enhancer offers three easy-to-try models that combine denoising, deblurring, and artifact removal - no manual tweaking needed. Just keep these tips in mind and test with your own clips to find the model that works best for you:
moDetail-HQ model is ideal for videos with plenty of fine detail. It enhances and sharpens textures while maintaining balanced natural colors - making it perfect for high-precision restoration.
Smooth-HQ model smooths out imperfections while preserving natural colors and textures, delivering a clean, polished look without over-processing.
superVideo vHQ model is designed for very dark or low-light videos. While a bit slower, it’s highly effective at removing noise and recovering detail in poor lighting conditions, resulting in clearer, more usable footage.
2. How You Upscale Matters - x2, x4, or Direct to 4K
Even with the same AI model, the scaling option you pick changes the results because the AI processes the video differently.
A good rule of thumb: don’t always pick the biggest upscale right away. Try different options and see what fits your clip best.Scaling step-by-step, like 2x followed by another 2x, lets the AI build details gradually. Going straight to 4K or scaling by 4x means the AI has to make one big guess and add all the missing details at once. Since the input resolution changes at each stage, the AI “sees” different patterns to work with, leading to variations in texture and sharpness. Try different approaches with your own clips to see which gives the best result.
3. Use the Preview Feature
Before committing to a full render, cut a 5-second clip from a tricky part of your video. Try different AI models and scaling settings on that short clip. Render multiple previews and compare them side-by-side. This will save you lots of time and help you find the best look.
Aiarty Video Enhancer includes a built-in trimming feature, so you can make these cuts directly within the software and preview quickly.
4. Speed vs. Quality
Not all apps strike the right balance, but Aiarty Video Enhancer does. Its AI models are finely optimized for both fast inference speed and exceptional video quality. Still, there are ways to make it even faster. If you prioritize speed over quality:
Choose moDetails-HQ or Smooth-HQ instead of superVideo vHQ when the visual difference is minimal.
Turn on Turbo Mode in Aiarty to speed up processing.
5. Best Export Settings
For the highest quality, export in low-compression or lossless formats like ProRes or high-bitrate H.264.
If you want smaller files but still decent quality, use H.265 (HEVC) or AV1.
All of these are supported in Aiarty Video Enhancer, and you can apply the settings to specific videos or make one-time adjustments in the Settings.
6. GPU and Graphics
Like all AI-driven video upscalers and enhancers, Aiarty Video Enhancer performs best on devices with a powerful GPU or newer graphics technology. A stronger GPU means faster processing times and smoother previews, helping you achieve great results without long waits.
For individuals using common or mid-range equipment, processing might take a bit longer, but the end result is a beautifully polished video that’s well worth the wait.
If you regularly work with complex videos or large batches, upgrading your GPU or graphics card can make a noticeable difference. The payoff? You won’t need to reshoot or buy extra footage, and you’ll earn positive feedback from fans or clients.
Ultimately, it depends on your needs - but Aiarty Video Enhancer is designed to offer a balanced experience for everyone, not just users with high-end setups.
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