Ride

‘Ride’ (2025); An AI Film by Syedway

Technique & Process

The project blends AI-generated video, digital compositing, and orchestral sound design to build one continuous cinematic montage.

Each scene was created through text-to-video generation using Kling AI Vide0 2.5 Turbo, designed to capture a hyper-realistic side-tracking shot of a rider and their vehicle or creature moving from left to right across the frame. The side profile was critical, it kept the rhythm consistent and made each story feel like a frame in the same film.

Prompts were refined repeatedly to control lighting, perspective, and motion realism. Once the base clips were generated, they were composited and color-graded in Adobe After Effects. Transitions were built from atmospheric elements like lightning, dust, fog, and neon flare, natural visual bridges between scenes.

For the soundtrack, a custom orchestral score was created using Suno AI v4.5. The composition builds from quiet strings and tension into sweeping brass and percussion, evoking mythic energy and speed.

This workflow (AI generation combined with human control, color scripting, and cinematic pacing) allowed Ride to live between myth and modern cinema. Every frame feels familiar yet impossible, ancient yet alive.

Issues & Major Findings

Making Ride was as much about problem-solving as creation. The biggest technical hurdle was consistency, getting AI models to hold a fixed camera position, coherent motion, and proportional scale across wildly different settings. Generators often defaulted to close-ups or front angles, so maintaining that left-to-right tracking shot took dozens of controlled iterations per scene.

The other major challenge was aesthetic unity. Each rider came from a completely different visual world, fantasy, history, sci-fi, but they needed to belong to the same film. Careful color mapping, rhythmic editing, and transitional lighting helped merge them into a single flow.

The most interesting discovery came later: no matter the era or medium, every rider expressed the same thing, tension between control and surrender. Whether gripping a lion’s mane or a steering wheel, the gesture was the same. That small detail made the entire project click. Ride became less about specific figures and more about that shared human moment, the need to move forward, to feel motion under your control, even for a second.

Concept / Artistic Intention

Ride is a cinematic AI video project about the timeless human impulse to move, to chase, to escape, to feel alive.

Each scene follows a different figure, drawn from mythology, history, and modern pop culture, locked in motion with their chosen ride. A witch fighting through a storm, a goddess charging through a mangrove forest, a dragon rider cutting through fire, a lone biker tearing down a neon-lit highway, every one of them caught in that same pulse of momentum.

The camera never shows full faces or full bodies. It rides alongside, tracking each motion from the side. That perspective turns every figure into an archetype, not a person, but a symbol of movement itself. Ride is less about destination and more about the drive. It’s about how power, faith, and freedom have always been tied to the act of motion, from ancient myth to machine speed.

At its core, Ride asks a simple question: if every era has its riders, what are we chasing now?


Credits

Title: Ride
Artist: Syed Ayaz Fatmi
Concept, Direction, and Production: Syed Ayaz Fatmi
Video Generation: Kling AI video 2.5 Turbo
Compositing and Color: Adobe After Effects
Sound Design & Score: Suno AI v4.5
Runtime: Approx. 2 minute
Format: 16:9 Cinematic Montage
Year: 2025