AI image realism repair
Fix the AI look in an image you already want to use
AI Image Realism & Artifact Fixer repairs the details that make an AI-generated image look artificial: plastic skin, distorted hands or extra fingers, repeated textures, and mismatched light. Each fix is a local edit of the flawed area or a natural whole-image refinement made on your own image in its original composition, delivered as a 2K PNG. AI Image Realism & Artifact Fixer works in Claude Code, Codex, Cursor, and other agents that run Skills.
Install AI Image Realism & Artifact Fixer and tell me when I need to sign in: https://beatra.ai/skills/ai-image-realism/install.md
For agents:Install guideMarkdown version
Send it to WorkBuddy, Codex, Claude Code, or another agent to install. Sign in once the first time you use it.GitHub ↗Docs ↗
What a focused realism pass improves
Diagnose before changing
Review anatomy, texture, lighting, background, composition, text, and destination fit, then focus on the one problem cluster that matters most.
Repair the smallest useful area
Choose a targeted local repair or a whole-image texture pass instead of replacing a nearly accepted image.
Protect what already works
Keep identity, product shape, brand details, composition, and unaffected areas recognizable where possible.
How it is made
See what makes the image feel artificial
Inspect anatomy, skin and materials, lighting, repeated background details, composition, text, and destination fit before choosing a change.
Check hands, faces, eyes, teeth, and proportions · Look for plastic skin, fused hair, and synthetic material texture · Compare light direction, shadows, reflections, and edge glow · Review repeated patterns, crop, text, logos, and final format
Fix the defect instead of rerolling the image
Use a bounded repair for a local flaw or a whole-image pass for texture and light, reserving a new composition for cases where you actually want one.
Repair one or two local defects precisely · Refine image-wide texture or lighting without selecting a small area · Change the composition only when a reinterpretation is acceptable · Keep each pass focused on one confirmed result
Protect the details that made the original worth saving
State the subject, product, brand, layout, crop, background, and unaffected details that should remain recognizable where possible.
Keep identity and expression recognizable where possible · Keep product shape, color, packaging, and marks recognizable where possible · Preserve the selected composition and destination fit where possible · Avoid changing areas unrelated to the named problem
Decide whether the image is ready or needs one tighter follow-up
Review the result against the original image and brief, check for drift, and choose at most one focused next improvement.
Confirm the priority defect actually improved · Check identity, product, text, composition, and background for drift · Verify the delivered dimensions fit the destination · Recommend one focused follow-up only when it is worthwhile
Natural-looking images for real publishing needs
Naturalize AI portraits
Reduce plastic-looking skin, repair hands and facial details, and keep the person's accepted appearance recognizable where possible.
Refine product and e-commerce images
Correct reflections, material texture, shadows, and background repetition while keeping product shape, color, packaging, and brand marks recognizable where possible.
Polish marketing and ad visuals
Fix distracting artifacts and inconsistent light while keeping the selected message, layout, and key visual recognizable where possible.
Clean up social covers
Make feed and cover images feel less templated while keeping the crop, safe areas, subject, and text layout recognizable where possible.
Inputs and outputs
Input · Image — AI-generated image you want to keep
- Formats
- JPG, PNG, WEBP
Output · Image — Retouched image with the original composition
- Formats
- PNG
- Specifications
- 1 image per request; 2K
| Input or output | Type | Formats | Specifications |
|---|---|---|---|
| Input | Image — AI-generated image you want to keep | JPG, PNG, WEBP | — |
| Output | Image — Retouched image with the original composition | PNG | 1 image per request; 2K |
Specifications last checked · Sources: Model catalog · Documentation · Terms of Service
Install tested in Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Grok CLI, and Antigravity CLI. All results
Questions
What kinds of AI image problems can it repair?
Visible artifacts such as plastic-looking skin, distorted hands and faces, repeated textures, inconsistent lighting, and formulaic backgrounds.
How does it choose between a local fix and a whole-image refinement?
It matches the edit to the visible problem: focused local repair for a specific defect, whole-image refinement for texture or lighting, and a new composition when you want a broader reinterpretation.
How are faces and branding handled?
The retouch is made on your own image and touches only the flaws you name, such as skin texture, a hand, or the light.
Can it fix hands, faces, text, and logos?
Yes. Distorted hands and faces, broken text, and warped logo shapes are repaired in place, as a local edit of the area you name.
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