Muhammad Kamran
AI Video Creator | Prompt Engineer | Visual Storyteller
Ready for work
Muhammad is ready for their next project!
Title:
DB STREET — Mysterious Streetwear Teaser
Description:
Created a 15-second cinematic teaser for DB STREET by Diamond Brand, built around mystery, kinetic typography, dynamic sound design, and a high-impact logo reveal.
The goal was to create curiosity around a new streetwear direction without revealing the collection upfront. The teaser gradually builds tension through aggressive text animation and finishes with a flashy DB STREET — COMING SOON logo reveal.
What I created:
• Kinetic typography animation
• Cinematic motion graphics
• Voice-over synchronization
• Sound effects & impact design
• Mystery-driven visual storytelling
• Flashy logo reveal
• Streetwear-focused art direction
Tools: AI-generated visuals + motion design + video editing + sound design
Client: Diamond Brand
Brand: DB STREET
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23
Cinematic Product Ad — Bacteriostatic Water
A premium cinematic product advertisement created for Domestic Med Supply, focused on presenting bacteriostatic water with a clean, high-end pharmaceutical aesthetic.
The video combines realistic product visuals, cinematic lighting, smooth camera movement, and elegant kinetic typography to create a polished social-media-ready commercial.
0
41
Prompt Engineering for 3D Art
Turning one visual reference into a reusable AI prompt system.
For this project, I analyzed the structure behind a cute furry 3D typography style and converted it into a flexible prompt framework. The prompt uses one controlled variable section to generate completely different words, letter colors, fuzzy characters, and interactions while preserving the same visual language.
The goal was not simply to generate one image—it was to build a repeatable creative system that can produce an entire consistent collection.
Focus:
Prompt Engineering · AI Image Generation · Prompt Structuring · Style Consistency · Creative Direction · Visual Analysis
0
64
Prompt Engineering for Typography
A study in turning a visual reference into a reusable AI prompt system.
For this project, I analyzed how typography can construct an entire human portrait—not simply overlay text on an image. I structured the prompt so hundreds of words and letters form the facial features, hair, neck, and silhouette while maintaining the same monochrome editorial aesthetic.
The key was creating one controlled variable section that allows the person, expression, and themed vocabulary to change while preserving the core visual language.
One prompt. Multiple characters. Consistent style.
Focus
Prompt Engineering · AI Image Generation · Prompt Structuring · Style Consistency · Typography · Visual Analysis
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78