Upscaling, artifacts and quality control

0:00 Upscaling and quality control

Here's a painful moment. You approve an AI image on your laptop. It looks perfect at thumbnail size. Then it goes to print on a two-meter banner, and suddenly there are smeared textures, a face that looks like wax, and a sign in the background with alien letters. Everyone sees it. In this lecture, you'll learn resolution basics, how to choose upscaling settings, the artifacts AI images typically hide, and a quality control routine that catches problems before clients or customers do. By the end, you'll have a QA sheet you can run on every asset, and a clear sense of when to upscale, when to vectorize and when to reshoot.

0:48 Why QA is non-negotiable

Why is QA non-negotiable with AI images? Because models are good at looking right at a glance. They're optimized to produce images that seem convincing, and the problems often hide in the details. A human photographer's mistakes are usually obvious, like blur or bad exposure. AI mistakes are sneaky: an extra finger, a merged earring, a product label with one letter wrong. Think of it like proofreading a document written by a very fluent writer who sometimes makes up words. It reads beautifully, so you stop checking. That's exactly when the made-up word slips through. Your brand pays for that mistake, not the tool.

1:33 Resolution basics

Resolution basics. Many generators produce images around one to two megapixels, which is often fine for social posts but not for large banners or print. Upscaling increases the pixel dimensions. Simple enlargement just makes pixels bigger and blurrier. AI upscalers predict and add plausible detail, which is powerful, but here's the catch. Plausible isn't the same as correct. They can invent skin textures, fabric patterns and text-like squiggles. For print, a common guideline is around three hundred pixels per inch at final size, but large formats viewed from a distance need less. So always ask your printer. For social media, match the platform's recommended pixel dimensions and don't overdo it.

2:21 Match the setting to the content

Now settings. Many upscalers offer a creativity or detail slider. Here's my rule. For faces, hands, products and logos, use the lowest creativity, sometimes called faithful mode, because you don't want the upscaler to redesign your product. For landscapes, textures and abstract backgrounds, medium to high detail usually helps. For flat illustrations and vector-style art, a photo upscaler can add unwanted texture, so consider a flat-art mode or even vectorizing the artwork. You'll find upscaling built into Photoshop and Firefly, inside most generators, and in dedicated upscalers. The tool matters less than matching the setting to the content.

3:04 Worked example 1: a blog header

Worked example one, simple. A creator wants a fifteen hundred pixel wide blog header from a one thousand pixel AI illustration of a desk scene. She upscales two times with high creativity. At first glance it looks sharper. But at one hundred percent, the flat vector shapes now have a strange painterly texture, and the book spines have fake lettering. She redoes it at low creativity. Clean shapes, no invented texture. Then she inpaints the book spines blank. The lesson? Sharper isn't always better. Match the upscaler to the style, and always check at one hundred percent before you publish.

3:47 Worked example 2: a property hoarding

Worked example two, a business scenario with illustrative details. A property developer in Dubai wants an AI-assisted concept of a new lobby printed on a large hoarding board. The native image is far too small for three hundred pixels per inch at that size. The first attempt, a four times upscale at high creativity, invents extra windows and a fake plaque with pseudo-text. The team starts again. They upscale two times at low creativity, inpaint the plaque blank, and ask the printer for the minimum resolution at the actual viewing distance, which is several meters. They run a small test print. And because property marketing must not mislead buyers, the board clearly says artist's impression. Quality and honesty in one pass.

4:40 Watch me do it: a QA pass

Watch me do it. Here's my QA pass on a finished social ad. I open the file at one hundred percent, and for faces and small text, two hundred. I work top to bottom with my QA sheet. Size first: does it match the export spec? Yes. Anatomy: I check both hands, the teeth and the eyes. One earring has merged into the hair, so I flag it. Objects and text: the coffee cup has faint pseudo-letters, flagged. Product: I compare the bottle side by side with the real product photo. Same. Edges, color, brand, people, rights, provenance. I check them all. Result: fix, with two items. I send it back with the exact locations circled.

5:30 Review roles and retouching

Let's talk about human review roles, because one person checking their own work misses things. Use a second pair of eyes for anything client-facing. The creator checks technical quality. A reviewer checks brand fit, rights and claims. And for people and cultural content, someone with relevant lived experience or expertise should look. Also, don't forget manual retouching. Sometimes the fastest fix isn't another AI pass. It's two minutes with a healing brush, a clone stamp or a mask. Great AI workflows still rely on classic retouching skills. Finally, file handling: work in a high-quality master file, export to sRGB for screens, and only compress at the final step.

6:17 Common mistakes

Common mistakes. Approving images at thumbnail size. Using maximum creativity on faces and products. Upscaling far more than the placement needs, which bloats files and invents detail. Treating an upscaler as a fix for a bad image, when it only makes a bad image bigger. Forgetting to ask the printer for their specs. Exporting in the wrong color space, so colors look dull on upload. And skipping the second reviewer when deadlines get tight, which is exactly when mistakes happen. Build QA into the schedule. If the timeline doesn't include review, the timeline is wrong.

6:58 Recap and try this now

Let's recap. AI images look right at a glance and hide errors in the details. Upscale only as much as the placement needs, keep creativity low for faces, products and logos, and consider vectorizing flat art. Check every asset at one hundred percent with a structured QA sheet, use a second reviewer for client work, and don't be afraid of classic retouching. Try this now. Take one AI image. Upscale it two times with two different creativity settings. Compare them at one hundred percent using the QA sheet in the lesson, and write down which setting works best for people, for products and for backgrounds. That becomes your house rule.