--- title: "Upscaling, artifacts and quality control" description: "From screen preview to production quality An image that looks great as a small preview can fall apart at full size: soft details, strange textures…" url: https://optimizeall.com/learn/ai-image-generation-and-design/upscaling-and-quality-control updated: 2026-10-05 --- AI Image Generation and Design · Editing, upscaling and finishing · lesson 8 of 18 · 7 min # Upscaling, artifacts and quality control ## From screen preview to production quality An image that looks great as a small preview can fall apart at full size: soft details, strange textures, warped text, repeating patterns. Before any AI image is published or printed, it needs upscaling (if required) and a structured quality check. ## Resolution basics for AI images - Many generators produce images around one to two megapixels natively (sizes vary by tool and settings), which is often enough for social posts but may be insufficient for large banners or print. - **Upscaling** increases pixel dimensions. Simple interpolation just enlarges pixels (blurry). AI upscalers predict and add plausible detail. - AI upscalers may **invent** details — textures on skin, fabric patterns, text-like squiggles. Always review at 100% after upscaling. ## Choosing upscale settings | Output | Typical need | Approach | |---|---|---| | Social post / story | Around 1080 px on the short side (check current specs) | Native or 2× upscale | | Website hero | Larger, often 2000 px+ wide | 2× upscale, check compression | | Print (flyer, poster) | Around 300 PPI at final print size is a common guideline | Higher upscale; consider print tests | | Large format (banners, signage) | Lower PPI acceptable due to viewing distance | Ask the printer | Some upscalers offer "creativity" or "detail" sliders. Higher creativity can add attractive detail but also changes faces, text and products. Use low creativity for people and products, higher for backgrounds and textures. ## Common AI artifacts to check ``` Artifact checklist (zoom to 100%+) Anatomy: hands (finger count, joints), teeth, eyes (pupils, reflections), ears, limbs Objects: merging items, impossible structures, floating parts, wrong counts Text: garbled letters, fake words, pseudo-logos, mirrored text Patterns: repeated textures, cloned faces in crowds, tiling Physics: shadows inconsistent with light, reflections that don't match Edges: halos around subjects, seams from inpainting Cultural: incorrect dress, symbols, scripts or architecture Skin: over-smoothed "plastic" look, unnatural tones Brand: off-palette colors, wrong product details ``` ## Color and file handling - Check the color profile — export in **sRGB** for web and social. - Avoid repeated lossy compression; keep a lossless master (PNG or TIFF) and export delivery versions from it. - For print, work with your printer on color conversion and proofing; vivid AI colors may be out of gamut for CMYK. ## Human review roles Quality control benefits from fresh eyes: - **Maker check:** the creator runs the checklist. - **Peer check:** a second person reviews at full size (people often miss errors in their own images). - **Specialist check:** for cultural, medical, technical or product accuracy, a subject expert reviews. - **Client approval:** with notes on what was AI-generated or edited. ## Retouching by hand AI edits are not always the best fix. Traditional retouching tools — clone, heal, dodge/burn, liquify (used ethically), color grading — give precise control. Many professional workflows alternate: AI for heavy lifting, manual retouching for precision. ## Worked example: poster-size print A creator wants an AI illustration printed as an A2 poster for an event stand. 1. Native output is too small for A2 at high quality. 2. Upscale in two steps with low creativity to preserve line quality; check for invented textures. 3. Fix a few artifacts manually (a doubled line, a wobbly edge). 4. Replace any text with real typography set in the design tool. 5. Convert and proof with the printer; adjust colors that print dull. 6. Final QA at 100% and a physical test print of a section. ## Common mistakes - Publishing without zooming in. - Using high "creativity" upscales on faces, changing identity. - Relying on AI for text in final artwork. - Recompressing JPGs repeatedly. ## A QA routine that scales When you produce many images each week, make QA a routine rather than an afterthought. Review in batches at a fixed time, always at 100% zoom on a large screen and then again on a phone at real size. Use the artifact checklist as a printed or pinned reference so nothing is skipped. Record recurring problems — for example, a model that often distorts jewelry — and add a specific prompt constraint or editing step to your style system so the issue is prevented rather than fixed repeatedly. ## Hands-on: a QA sheet for every AI asset Print this or add it to your review tool. Reviewers check each line at 100% zoom (200% for faces and small text). ```text AI ASSET QA — asset_id: ________ reviewer: ____ date: ______ [ ] Size: pixel dimensions match the export spec for each placement [ ] Upscale: creativity/detail setting noted; faces/products unchanged [ ] Anatomy: hands, teeth, eyes, ears, limbs [ ] Objects: merges, floating parts, impossible structures, counts [ ] Text: no fake text; real text set in layout and proofread [ ] Product: shape, label, color match the real product photo [ ] Patterns: no repeating tiles or smeared textures [ ] Edges: seams from inpainting/expansion invisible [ ] Color: sRGB for screen; print file per printer spec [ ] Brand: palette, style kit, logo rules [ ] People: inclusion, stereotypes, cultural accuracy, consent [ ] Rights: references owned/licensed; no third-party marks [ ] Provenance: Content Credentials kept; label decision recorded Result: PASS / FIX (list) / REJECT (reason) ``` ## Choosing an upscaler in 2026 Most suites now include AI upscaling — for example Photoshop and Firefly offer generative upscaling, many generators have built-in upscale buttons, and dedicated upscalers are available as apps or partner models inside design suites. Pick based on your content: | Content | Setting | Why | |---|---|---| | Faces, hands, products, logos | Lowest creativity / "faithful" mode | Prevents invented features and altered labels | | Landscapes, textures, abstract | Medium to high detail | Added detail usually helps | | Illustrations and flat vector styles | Consider vectorizing or a flat-art mode | Photo upscalers can add unwanted texture | ## Worked example: before/after print upscale A property developer in Dubai wants an AI-assisted lobby concept printed on an A1 hoarding board (illustrative brief). The native image is too small for 300 PPI at A1, and the printer says the board will be viewed from about 3 meters. - Before: a 4× upscale at high creativity invented extra windows and a fake plaque with pseudo-text. - After: the team upscaled 2× at low creativity, inpainted the plaque blank, asked the printer for the minimum acceptable resolution at that viewing distance, and ran a small test print. The final passed at the printer's recommended PPI, and the board clearly stated "Artist's impression" — important for property marketing, where images must not mislead buyers. ## Summary Know your output size, upscale appropriately with the right creativity setting, run a thorough artifact checklist at full zoom, keep lossless masters, and use peer and specialist reviews — combining AI fixes with manual retouching where precision matters. ## Video lecture: Upscaling, artifacts and quality control Lecture coming soon · 10 chapters · about 8 minutes. Read the full transcript below. 1. Upscaling and quality control 2. Why QA is non-negotiable 3. Resolution basics 4. Match the setting to the content 5. Worked example 1: a blog header 6. Worked example 2: a property hoarding 7. Watch me do it: a QA pass 8. Review roles and retouching 9. Common mistakes 10. Recap and try this now ## Lecture transcript ### 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. ### 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. ### 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. ### 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. ### 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. ### 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. ### 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. ### 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. ### 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. ### 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. ## Key takeaways - AI upscalers add plausible, not necessarily correct, detail — review every upscale at 100%. - Use faithful/low-creativity settings for faces, hands, products and logos; more detail for landscapes and textures. - Upscale to the placement's need; ask printers for their specs and viewing distance. - Run a structured QA sheet with a second reviewer for all client-facing assets. - Classic retouching remains the fastest fix for many small defects. ## Try it Upscale one AI image to twice its size with two different creativity settings. Compare them at 100% using the artifact checklist and record which setting suits people, products and backgrounds. - [Previous: Inpainting, outpainting and generative fill](https://optimizeall.com/learn/ai-image-generation-and-design/inpainting-and-outpainting) - [Next: Compositing AI output with photography and typography](https://optimizeall.com/learn/ai-image-generation-and-design/compositing-ai-with-design) - [All lessons of AI Image Generation and Design](https://optimizeall.com/learn/ai-image-generation-and-design)