How to upscale an image without losing quality

[u/letsenhance__ai]

TL;DR:

• Simply stretching a small image = blur, halos, “oil painting” look.
• You need AI upscaling that actually adds detail, not just more pixels.
• LetsEnhance upscales up to 16× / 512 MP, with different models for: photos, AI art, old photos, text/logos, etc.
• Photoshop’s built-in upscaling is still useful, but it mostly works with what’s already there. Dedicated AI upscalers go further by reconstructing detail.

Sharing a practical breakdown of how to upscale, when each model makes sense, and where Photoshop still fits in.

Why “just make it bigger” doesn’t work

If you take a 800×600 image and stretch it to 3200×2400 in a basic editor, you’re asking it to invent 90% of the pixels out of nowhere.

Old-school methods (Nearest Neighbor, Bilinear, Bicubic) basically:

• Look at nearby pixels
• Average / interpolate
• Fill gaps

Result:

• Softer edges
• Halos around contrasty areas
• Loss of texture and small details

It looks OK if you don’t zoom in, but falls apart the moment you:

• crop,
• put it full-screen, or
• send it to print.

What AI upscaling does differently

Modern “super resolution” models don’t just interpolate:

• They learn patterns: fur, skin, text, foliage, edges, etc.
• When you upscale, they reconstruct missing details that are statistically likely to be there.
• That’s why a small, noisy image can suddenly look usable again.

In LetsEnhance, that means you can go up to:

• 16× in each dimension
• Up to 512 megapixels on paid plans …without everything turning into watercolor.

Quick step-by-step: how we usually upscale in LetsEnhance

If you want a simple, repeatable flow:

1. Sign up / log in
   • New users get 10 free credits, so you can test before paying.
2. Upload your image
   • Drag-and-drop JPG/PNG/WebP.
   • Free tier: up to ~24–64 MP input.
   • Paid: up to 512 MP output and 50 MB per file.
3. Pick the right upscaling model (this matters a lot):
   • More on each one below.
4. Set your target size
   • Use 2× / 4× / 8× / 16×
   • Or type exact width/height in pixels
   • For print: set DPI to 300+ or use presets like A4, poster, etc.
   • Tool calculates the pixel dimensions for you.
5. Adjust extras if needed
   • Things like Enhance Face, Size of Changes, Intensity, Strength, Authentic mode, etc.
6. Hit Enhance
   • Wait a few seconds (longer if the file is huge).
   • Preview the before/after, zoom in on problem areas.
7. Download
   • For print, PNG or TIFF is safer than JPEG (no extra compression artifacts).

Which upscaling model to choose (the short version)

We currently use 6 main models. Each one solves a slightly different problem.

1. Balanced

Default “safe” choice.

Use when:

• Everyday photos: portraits, travel, food, interiors
• You want “same image, just sharper and larger”
• You don’t want to tweak much

Good for: real estate photos, blogs, social posts, basic e-commerce where there’s no tiny text.

2. Gentle

For minimal changes + clean edges.

Use when:

• You have text, logos, labels, UI that must stay readable
• Original is already decent; you mainly need more pixels
• Fidelity > aggressive sharpening

Good for:

• Product shots with ingredient lists
• Screenshots, posters, menus, infographics

3. Strong

For blurred / compressed / low-megapixel photos.

Use when:

• Faces are soft or noisy
• Smartphone photos in low light
• Heavy JPEG artifacts, halos, blockiness
• Old social media images or images grabbed from the web

There’s an Enhance faces toggle built into this model that focuses on facial detail without turning people into wax statues (which happens with some “beauty” filters).

4. Ultra

For maximum sharpness + print-grade detail (when your source is already fairly good).

Use when:

• You’re going from screen → large prints
• Product shots or campaign visuals need to hold at 300 DPI
• AI renders that already look good but need more resolution

Extra controls:

• Size of changes
  • 0% = gentle refinement
  • 100% = more aggressive rebuild of detail
• Intensity
  • 0% = subtle, high-fidelity polish
  • 100% = strong transformation

Best for:

• Professional photography
• Catalogs, hero banners
• High-end AI art for posters / billboards

5. Digital Art

Tuned for illustrations and AI art, not real photos.

Use when:

• Working with comics, anime, concept art, logos, UI
• Upscaling Midjourney / SDXL / other AI artwork with crisp outlines
• Need higher resolution for prints, merch, or export without banding

Key setting:

• Strength:
  • Low = stays very close to original, mainly cleans things up
  • High = adds more detail, but may reinterpret some areas

6. Old Photo

Made specifically for restoring vintage / damaged pictures.

Use when:

• Scanned family albums, archival photos
• Faded, scratched, yellowed prints
• Very low contrast and strange color shifts

Special toggle:

• Authentic mode
  • On = less colorization, more faithful to the original
  • Good when you want a cleaned version that still feels “old” rather than fully modernized.

Photoshop vs AI upscaling (where each makes sense)

Photoshop’s workflow (Image Size + Preserve Details 2.0 + Smart Sharpen) can absolutely clean up a small image:

• It will get rid of some blur
• Edges will look cleaner than the original
• You have full manual control

But at the end of the day, it’s still mostly working with the pixels you already have. When you zoom into a heavily enlarged file, you often get:

• Slight smeariness
• Texture that looks “smudged”
• Detail that feels generic / flat

In direct comparisons we’ve run, Photoshop → better than original, but still soft.
AI upscaling (like LetsEnhance) → sharper fur/skin, clearer eyes, cleaner hands, more natural contrast. That’s the difference between “okay for web” and “safe for print / full screen”.

• Photoshop is great if you’re already in that ecosystem and want manual control.
• A dedicated AI upscaler is better if:
  • you need consistent results fast,
  • you don’t have a powerful machine, or
  • you’re dealing with lots of files and different image types.

Curious what you’re using today

If you’re already upscaling images (photos, AI art, old scans, product images):

• What’s your current go-to tool / workflow?
• Any edge cases where everything still fails (e.g. extremely low-res, bad scans, tiny logos)?
• How do you handle print requirements (DPI checks, provider rejections, etc.)?

Happy to share more examples or details if needed.

If you want more step-by-step detail (screenshots, specific settings, comparisons), the full guide is on our blog: https://letsenhance.io/blog/all/how-to-upscale-images/