Last updated: 2026-02-14
How to Get Better AI Upscaling Results – Pro Tips & Settings Guide
AI upscaling quality depends heavily on your input image and settings. With the right preparation and technique, you can dramatically improve output quality. This guide shares expert tips for getting the best possible results from Claid.ai, Let's Enhance, and other AI upscalers.
Tip 1: Start with the Best Source
The single most impactful factor is source quality. Use RAW files when available. Use the original resolution; never upscale a previously downscaled image. Avoid heavily compressed JPEGs; if compression artifacts are visible at 100% zoom, the AI will amplify them.
Tip 2: Upscale in Steps for Large Magnifications
For magnifications above 4x, consider multi-pass upscaling: upscale 2x first, review the result, then upscale 2x again. This gives the AI a better source at each step compared to a single large jump. The total processing time is longer, but output quality is often noticeably better.
Tip 3: Match the Algorithm to Your Content
Let's Enhance offers algorithm selection (Photo vs. Digital Art vs. Smart Enhance). Using the wrong algorithm produces suboptimal results. Use Photo mode for photographs, Digital Art for illustrations/graphics, and Smart Enhance when unsure. Claid.ai automatically selects the optimal approach for product photography.
Tip 4: Handle Noise Before Upscaling
If your source image has visible noise or grain, apply noise reduction before upscaling. Upscaling amplifies noise just like it amplifies detail. Let's Enhance can do both in a single pipeline. For Claid.ai, consider denoising in Lightroom or Photoshop first.
Tip 5: Only Upscale as Much as You Need
Calculate your target resolution before choosing a magnification level. For a 24x16 inch print at 300 DPI, you need 7200x4800 pixels. If your source is 3600x2400, you only need 2x, not 16x. Over-upscaling wastes processing credits and can introduce unnecessary artifacts.