age-transformation

Transforms digital images of people to appear older or younger.

28|5|Updated Feb 9, 2026

Search Tags:#photo editing #visual effects #ai art #age transformation #face aging #de-aging

Ready to run

npx skills add https://github.com/eachlabs/skills --skill age-transformation

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: age-transformation
Source: https://github.com/eachlabs/skills/tree/main/skills/age-transformation
Command: npx skills add https://github.com/eachlabs/skills --skill age-transformation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows users to realistically alter the apparent age of faces in images, enabling applications from creative visual effects to forensic aging.

Core Features & Use Cases

Age Progression: Make subjects appear older (e.g., 10, 20, 40+ years).
Age Regression: De-age subjects to look younger.
Specific Age Targets: Transform to baby, teenage, middle-aged, or senior appearances.
Use Case: A filmmaker can use this to show a character aging throughout a movie, or a parent can visualize how their child might look as an adult.

Quick Start

Use the age-transformation skill to make this person look 70 years old.

Frequently Asked Questions about age-transformation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I make a face look older or younger in a photo?▼

To make a face look older or younger, you apply age transformation using AI models that alter perceived age while maintaining identity. This technique supports both age progression and regression for visual effects.

Can I target a specific age like making someone look 70 years old?▼

Yes, age transformation allows targeting specific age spectrums like baby, teenage, middle-aged, or senior. You can instruct the model to make a subject appear exactly 70 years old while preserving facial identity.

What is AI face aging used for in entertainment and forensic science?▼

AI face aging generates age progressions and regressions for visual effects and forensic science. Filmmakers use it to show characters aging, while forensic applications visualize age-altered appearances.

How does deep learning maintain identity when transforming facial age?▼

Advanced deep learning techniques maintain identity by mapping facial features across age spectrums. The AI alters perceived age while preserving the unique characteristics that define the subject's identity.

Does age regression work well for de-aging adult faces to childhood?▼

Age regression de-ages subjects to look younger by transforming adult faces to baby or teenage appearances. The AI models apply age transformations that target specific younger age spectrums.

What are the limitations of AI age progression for long-term visualization?▼

AI age progression limitations depend on the quality of the input facial image. While models maintain identity, long-term visualizations are predictive estimates rather than exact representations of future appearance.