AI Portrait Relight: Enhance & Restore Natural Skin Tones

AI Portrait Relight: Enhance & Restore Natural Skin Tones

AI Portrait Relight is an AI agent skill designed to relight existing portrait images while maintaining the subject's identity. This tool supports the reconstruction of clean photographic skin response without altering fundamental features of the person in the image.

What this skill does

• Relights portraits in formats including JPG, JPEG, PNG, and WebP.
• Preserves facial identity, geometry, and expressions by utilizing a physically coherent key light.
• Replicates various lighting scenarios such as natural fill, backlight correction, and studio soft light while enhancing skin tone realism.
• Ensures that illumination and material responses are visible at normal viewing sizes, preserving necessary detail in lighting contrasts.
• Works seamlessly within a host image editor, leveraging native image-editing capabilities for execution.

Who it is for

• Developers and AI engineers deploying AI coding agents like Claude Code, Cursor, and Codex to enhance image capabilities.
• Photography studios and digital artists seeking to improve portrait lighting while maintaining authenticity in image corrections.
• Image editing teams requiring precise control over lighting adjustments without altering the portrait’s fundamentals.

Use cases

• Enhancing portraits with realistic skin tones for portfolio or professional presentations.
• Performing natural light corrections in photos taken in challenging lighting conditions, such as harsh sunlight or low-light environments.
• Restoring old portraits where lighting has faded, ensuring the images maintain their original look.

Technical details

• Utilizes the xxg-portrait-rebuild-light tool for achieving realistic skin reconstruction.
• Compatible with image-editing capabilities available in AI coding agents like Claude Code, Cursor, and Codex.
• Employs native image-generation calls from the host tool registry, specifically leveraging tools such as `image_gen__imagegen` in Codex.

Source & Licence

This package is built on open-source work published by moskoo (moskoo/xxg-portrait-rebuild-light) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.