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Youthful Rebel Photography

Clean the Sky - Positive Eco Trends & Breakthroughs

The James Male Model Scene Exclusive is Retro-Infused

— October 2, 2013 — Fashion
Starring James Phillips at London Mgt Group, the 'James' Male Model Scene editorial exclusive embodies a youthfully rebellious air. The long-haired model is captured by photographer Pat Supsiri while posing in a set of moody portraits.

The Australian model exudes an effortlessly cool surfer vibe thanks to styling with pieces from The Stables. Whether sporting leather motorcycle jackets, grungy plaid shirts or fun graphic tees, the young model shows off his edgy look and proves he is a future face to watch.

The 'James' Male Model Scene editorial is inspired by an aesthetic of retro rebellion and features a rocker-chic wardrobe of youthful menswear staples. Worn by model James Phillips, these pieces are accentuated with long, blond locks that are courtesy of stylist Luke Nicholson for Evo Hair.
Trend Themes
1. Retro Rebellion Fashion - Disruptive innovation opportunities in this trend include incorporating vintage-inspired designs and styles into mainstream menswear collections.
2. Youthful Male Models - Disruptive innovation opportunities in this trend include exploring diverse and unconventional beauty standards in male modeling.
3. Moody Portraiture Photography - Disruptive innovation opportunities in this trend include experimenting with alternative lighting techniques and composition styles to create visually striking portraits.
Industry Implications
1. Fashion - Disruptive innovation opportunities in this industry include developing sustainable and ethical fashion brands that cater to the retro rebellion trend.
2. Modeling and Talent Management - Disruptive innovation opportunities in this industry include embracing inclusivity and representing a diverse range of models in terms of age, appearance, and style.
3. Photography - Disruptive innovation opportunities in this industry include incorporating advanced AI and computational photography techniques to automate and enhance the process of capturing moody portraits.
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