GENERATIVE AI STUDIO

GENERATIVE AI STUDIO

Two stylish young women walking toward the camera at a crowded soccer stadium during a match, with the field and spectators in the background.

I’M MATT GIORDANO — A CREATIVE TECHNOLOGIST BUILDING UNIFIED GENERATIVE SYSTEMS ACROSS FASHION, MOTION, AND AI/ML. MY PRACTICE PRIORITIZES CONTROL, CONSISTENCY, AND AUTHORSHIP THROUGH CUSTOM ARCHITECTED WORKFLOWS.

I TRAIN CUSTOM LORA MODELS USING HEADLESS PYTHON AND PYTORCH, BYPASSING STANDARD INTERFACES TO DIRECTLY MANIPULATE THE TRAINING LOOP. BY SOURCING DATA FROM BRAND ARCHIVES, I DEPLOY MODELS ON PRIVATE GPU INFRASTRUCTURE AND RUNPOD CLUSTERS TO ENSURE SILHOUETTE AND MATERIAL STABILITY WITHOUT STYLISTIC DRIFT.

PRODUCTION OUTPUT IS DRIVEN BY ADVANCED COMFYUI PIPELINES AND PURE PYTORCH INFERENCE. I UTILIZE CUSTOM AUTOMATION SCRIPTING TO ACCELERATE PRODUCTION VELOCITY AND REDUCE WORK-TIME LATENCY, LEVERAGING PROGRAMMATIC CONDITIONING TO ENSURE EVERY FRAME ADHERES TO A UNIFIED VISUAL LANGUAGE.

MOTION AND AUDIO ARE HANDLED VIA KIVE.AI AND UDIO, UTILIZING DATA-DRIVEN SYNCING TO ALIGN THE VISUAL PULSE AND SOUND DESIGN INTO TIGHTLY INTEGRATED MULTISENSORY OUTPUTS. THE RESULT IS A SCALABLE PIPELINE — FROM CONCEPT TO PRODUCTION-GRADE DELIVERY — WITH FULL TECHNICAL CONTROL.

Creative Director · Visual Storytelling · Fashion · Image-Making · Campaigns · Creative Technologist · Generative Systems · Editorial · Culture

Creative Director · Visual Storytelling · Fashion · Image-Making · Campaigns · Creative Technologist · Generative Systems · Editorial · Culture

GENERATIVE AI WORK=))))

GENERATIVE AI WORK=))))

CASE STUDY: SPATIAL & BRAND PERSISTENCE
THIS SERIES DEMONSTRATES A LOCKED GENERATIVE ENVIRONMENT WHERE RETAIL ARCHITECTURE—INCLUDING SPECIFIC SIGNAGE LIKE HOT TOPIC AND SEARS—REMAINS SPATIALLY CONSISTENT ACROSS VARIABLE CAMERA ANGLES.
CUSTOM-TRAINED LORAS STABILIZE DENIM PATCHWORK TEXTURES AND SILHOUETTES, ENSURING THE CHARACTER’S WARDROBE "ANCHORS" TO THE 3D SPACE RATHER THAN DRIFTING STYLISTICALLY BETWEEN FRAMES.
SYSTEM ANALYSIS: MULTIMODAL A/V SYNTHESIS
THIS WORKFLOW UTILIZES LOCALLY TRAINED LORAS DEPLOYED ON PRIVATE GPU CLUSTERS TO RENDER HIGH-FIDELITY ASSETS WITHIN COMFYUI. THE VISUAL STACK IS PROCESSED THROUGH KIVE.AI TO ENSURE MOTION CONSISTENCY.
THE AUDIO IDENTITY IS AN ORIGINAL SCORE GENERATED VIA UDIO, ENGINEERED TO MATCH THE METRIC RHYTHM OF THE VIDEO. THIS DEMONSTRATES A FULL-STACK PIPELINE WHERE SOUND AND VISUALS ARE SYNCHRONIZED.

Real-time visual systems for generative AI

Real-time visual systems for generative AI

cables.gl / real-time interaction

An AI-generated image reconstructed as a real-time system rather than a static asset.

We treated the original imagery as source material and rebuilt it inside cables.gl, introducing a GPU-driven deformation layer that turns the image into a responsive surface.

Cursor movement applies localized displacement across the image plane, producing a controlled wave response with natural falloff. The result feels physical, continuous, and deliberate — more material than effect.

The focus is restraint: minimal input, maximum clarity. AI generates the image, but the value emerges through behavior, system design, and interaction.

Matthew Giordano is AN creative technologist working in large-scale media production. He spent several years as a staff editor in broadcast post-production at Viacom, supporting network-level content across MTV, Nickelodeon, Comedy Central, and BET.

In high-volume production environments, his work centered on pacing, consistency, and delivery at scale. He was also an early participant in Instagram’s Spark AR platform, creating custom filters that reached millions of users.

Today, through DSKR Creative, he designs and builds generative AI systems for production — developing repeatable image pipelines and translating editorial intent into controllable, reliable outputs. His work is grounded in consistency, iteration, and real-world delivery.

VIACOM CBS

VIACOM CBS

CONTACT:
mg@dskrcreative.com

MG@DSKRCREATIVE.Com

MG@DSKRCREATIVE.Com