How to Fix AI Image Artifacts (Hands, Text, Plastic Skin)

A glitched AI portrait being repaired, illustrating how to fix AI image artifacts

The fastest way to fix AI image artifacts is knowing which ones are worth fixing. Some glitches take thirty seconds in an editor. Others will eat an hour of your evening when a fresh generation with a better prompt would have solved it in one click. This guide teaches you to tell them apart.

It’s also overdue for an update most articles haven’t made. The horror-show hands of 2023 are mostly gone; today’s models fail more quietly, with skin like plastic, shadows that answer to no light source, and textures that repeat like wallpaper. Below: why generators glitch at all, a catalog of what actually breaks in 2026, and three repair strategies matched to each problem.

Why AI images glitch at all

Image generators don’t know what a hand is. They know what hands statistically look like across billions of examples, and when the examples disagree, the model hedges. Hands are the textbook case: fingers overlap, foreshorten, and hide behind objects, so the “statistically plausible” answer sometimes has six fingers. Text fails for the same reason at the character level; the model paints letter-shaped strokes rather than spelling. (The mechanics of diffusion models explain the hedging well if you want the deeper story.)

The practical takeaway: artifacts aren’t random damage, they’re the model’s uncertainty made visible. That’s why they cluster in predictable places, and why predictable places can be checked in seconds.

The 2026 artifact catalog: what breaks and how to spot it

Hands and fingers

Much improved since the six-finger era, but still the first place to look, especially with multiple people, interlocked hands, or hands holding objects. Count fingers, check that thumbs attach on the correct side, and look where hand meets object: grips that melt into cups and handles are the modern version of the problem.

Text and signage

Top-tier models can now render short, deliberate text you asked for. What still fails is background text you didn’t ask for: shop signs, book spines, labels, and posters filled with letter-shaped gibberish. Any text you didn’t explicitly prompt is guilty until proven readable.

Plastic skin

The signature 2026 artifact. Faces render technically perfect but airbrushed into wax: no pores, no fine lines, no texture variation. Individually subtle, it’s the single strongest “this is AI” signal for most viewers, and it’s also one of the easiest to treat in an editor.

Eyes, teeth, and ears

Zoom in. Mismatched pupil sizes or reflections, teeth that blur into a single band, earrings that don’t match or merge into the ear. Small-area details get less of the model’s attention, and jewelry, glasses, and teeth are where that shows.

Backgrounds, patterns, and physics

The background is where models relax: fences that change style midway, brick and fabric patterns that repeat in visible tiles, and above all lighting physics. Shadows falling in two directions, reflections showing the wrong scene, a sunset scene lit from the left. Viewers rarely name the problem, but they feel it.

Infographic marking the zones to inspect on an AI image: hands, text, eyes, patterns and shadows

Artifact-to-fix cheat sheet

Artifact

Telltale sign

Fastest fix

Wrong hands

Finger count, melted grips

Inpaint the hand region, or crop/reframe it out

Garbled text

Letter-shaped gibberish in background

Patch over it, or inpaint with the exact wording

Plastic skin

No pores, airbrushed shine

Editor: add subtle grain, pull highlights down

Eye/teeth oddities

Mismatched pupils, blurred teeth

Inpaint the face region only

Impossible shadows

Two light directions

Regenerate; lighting can’t be patched convincingly

Repeating patterns

Visible texture tiles

Crop tighter, or blur the background zone

Three ways to fix AI image artifacts, from cheapest to most control

1. Regenerate with a better prompt

The cheapest fix is a new generation that avoids the problem. Be specific where the model hedged: “hands resting flat on the table, fingers visible” beats hoping. If your generator supports negative prompts, exclude the failure directly (“extra fingers, merged fingers, distorted hands”). And when a scene doesn’t need hands or background text at all, prompt them out of frame; the artifact you prevent costs nothing.

2. Inpaint only the broken region

When the composition is worth keeping, inpainting (selecting the broken area and regenerating just that region with a corrective prompt) preserves everything you like. It’s the highest-success route for hands, faces, and deliberate text, and two or three attempts on the region usually lands a clean result.

3. Finish by hand in an editor

The last mile is classic editing, and it handles what regeneration can’t or shouldn’t:

  • Crop and reframe. The most underrated fix: if the artifact lives at the edge, recompose it out entirely. Our resizing guide covers keeping quality while you do.
  • Patch and blur. Garbled background text and repeating textures disappear under a soft targeted blur that reads as depth of field.
  • Kill the plastic. Add fine grain, reduce highlight shine, and nudge color balance away from uniform warmth. Thirty seconds in the ArtsFlick photo editor, and skin reads as skin again.
  • Export properly. Heavy compression amplifies AI’s smooth-gradient banding, so follow sane format and quality settings on the way out.
Garbled AI-generated sign text before and after being repaired

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Prevention: the artifacts you never have to fix

The cheapest way to fix AI image artifacts is to stop ordering them. A surprising share of glitches are invited by vague prompts, and four habits prevent most of them:

  • Give hands something to do. “Hands in coat pockets”, “holding a coffee cup with both hands”, “arms crossed”. Specified poses collapse the model’s uncertainty, and uncertainty is where fingers multiply.
  • Ask for shallow depth of field. A softly blurred background hides the places models get sloppy: signage, crowds, repeating textures. What’s out of focus can’t be garbled.
  • Say “no text” when you don’t need text. Incidental signage is the most common giveaway artifact, and it’s entirely optional. If you do need words, prompt the exact wording and keep it short.
  • Name the light. “Lit by one window from the left” gives shadows a single story to tell. Unspecified lighting is how you get the two-suns look that can’t be patched afterward.

Prevention won’t catch everything, which is why the inspection zones exist. But a specific prompt plus a thirty-second five-zone check will beat an hour of repair on most images.

When to stop fixing and regenerate

Repair has a budget. The composition-level problems (impossible lighting, warped anatomy across the whole body, a background that’s wrong everywhere) sit below any patch you can apply, and an hour of fighting them produces something that still feels off.

The two-attempt rule: if two focused repair attempts haven’t fixed an artifact, regenerate with a prompt that specifically prevents it. Generation is cheap; your evening isn’t. Localized flaws reward repair, global flaws reward a fresh start.

Frequently asked questions

Hands are small in most photos, constantly overlapping and foreshortened, and photographed in thousands of positions, so the model’s training signal is noisy. When it’s uncertain, it produces a statistically plausible guess, which is sometimes six fingers. Current models are much better, but complex hand poses still fail first.

Most models paint letter-like shapes rather than spelling at character level. In 2026, top models render short text you explicitly prompt for, but incidental background text (signs, labels, book spines) still tends to come out as gibberish and needs patching or inpainting.

Often, yes. Cropping the artifact out, blurring garbled background detail, and adding grain to plastic-looking skin are all standard editor fixes that need no AI at all. Regeneration or inpainting is the better route when the flaw is structural, like anatomy or lighting.

In any photo editor: add a small amount of fine grain or noise, reduce highlight intensity, and slightly vary the color balance. The waxy look comes from unnatural smoothness and uniform lighting, and grain plus softened highlights restores believable texture in under a minute.

Yes, just subtler ones. Blatant extra fingers are rare in top models now; the common failures are airbrushed skin, physically impossible shadows and reflections, repeating background textures, and garbled incidental text. The inspection zones stay the same, the flaws are simply quieter.