WE BEGAN FROM ONE SIMPLE BELIEF: TODAY’S LUXURY LIVES IN FLEETING GLIMPSES—THOSE QUICK, ELECTRIC MOMENTS WHEN LIGHT, FABRIC, AND ATTITUDE ALIGN FOR A SPLIT SECOND ON CAMERA.
Client
Gaston
DELIVERABLES
EDITORIAL VISUALS BRANDING
Year
2025
Role
Creative Direction
Tools
MIDJOURNEY, HIGGSFIELD AI, SEEDREAM, KLING AI, VEO3.1, ADOBE SUITE
Kinetic Luxury
Kinetic Luxury captures high fashion as a series of sharp, fast frames rather than static poses. Close-crop portraits, blurred gestures, and off-axis angles turn the model into a moving contour—hands cutting across the lens, coats snapping mid-stride, silhouettes drifting in and out of focus. Each scene sits on a different point of the spectrum of luxury: intimate, almost fragile closeness; stoic, sculptural stillness; and bold, runway-level impact. Together, they build a vibrant, pulse-like narrative where luxury feels alive, directional, and always slightly ahead of you.
All imagery was created with generative AI tools—primarily Midjourney, Higgsfield AI, Seedream, Kling AI, and VEO3.1. I iterated through dozens of prompts to control leather texture, motion blur, and portrait cropping, pushing the models into elongated limbs, obscured faces, and dynamic mid-movement poses. By refining color, contrast, and angle, I built a consistent visual language of cool metallics against deep blacks and saturated reds. The result is a modular editorial system that can expand into new looks and formats while staying anchored in one idea: luxury as a fast, kinetic sequence of high-fashion moments.
Process: Generative Workflow System
Notion AI TOOLS & Workflow REsearch ARCHIVING
I. Transformation Pipeline
From static image to motion sequence
This workflow explores how generative AI can be directed as a multi-step transformation system rather than a single output tool.Starting from a base image,
I iteratively modify structure, environment, and motion through chained prompts and models.
Workflow
• Outfit transformation using prompt-based image editing
• Background reconstruction while preserving subject identity
• Motion generation through video models (Kling)
• Final sequencing into continuous movement
AI Tools
Tools: Midjourney · Seedream · Kling · Figmaweave
Focus: Transformation / Motion / Iterative control
Insight
This process reframes AI as a system for controlling transitions across states, not just generating isolated images.
II. Visual System
Camera, framing, and consistency
This exploration focuses on how AI can maintain visual coherence across different camera perspectives and framing conditions.
By systematically testing shot types, I establish a controlled visual language across outputs.
Exploration
Eye-level and high-angle framing
Tight close-ups vs full-body compositions
Side profiles and three-quarter views
Consistency of lighting, styling, and identity across shots
Insight
Rather than generating individual images, this approach builds a repeatable visual system that can scale across campaigns, lookbooks, and motion.