I’ve been experimenting with the latest text-to-video workflows and decided to put Google Flow and Gemini head-to-head. 🚀 This is a personal concept project I built to explore the current limits of AI for commercial video creation. I wanted to test how these tools handle things like scene consistency and dynamic transitions when pushed. Behind the Scenes: Gemini: Second clip Google Flow: First clip Since this wasn't tied to a specific client deliverable, I had the freedom to get fully experimental. I’d love to hear some thoughts from the community which workflow or output stands out to you? Any feedback is welcome! 👇

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AI Battle: Gemini vs. Google Flow! 🤖🔥 I made two different Nike ad concepts using two different AI workflows. I can't decide which one turned out better, so I’m leaving it to you! Which one are you rocking with? ➡️ Option A: (Google flow) ➡️ Option B: (Gemini) Drop your vote below! 💬 (Note: Just a fun concept project for practice and testing not an actual Nike ad!)

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Luxury Streetwear Drop: AI Fashion Campaign Video The Brief A luxury streetwear label needed a campaign video for their latest drop that hits the sweet spot between high fashion and street culture. The goal: a 15-30s video that builds hype, sells out the drop, and looks like it belongs on a brand's main feed next to campaigns shot by a full creative team. Optimized for Instagram Reels, TikTok, and drop announcement emails. My Process Started with flat-lay and on-model product photos of the collection (hoodies, oversized tees, cargo pants, accessories) to map out the key pieces worth featuring Generated AI video sequences with raw, editorial-style camera movement: handheld energy for street scenes, slow tracking shots for product close-ups, and quick whip pans between looks to keep the pace aggressive Built a visual narrative around the drop culture moment: teaser shots of packaging being opened, garments being styled, models walking through urban environments (concrete, neon, graffiti walls, parking structures) wearing the full collection Used high-contrast, desaturated color grading with selective color pops on the product to make each piece stand out against gritty backdrops Added texture-level close-ups (stitching, embroidery, woven labels, fabric weight) to communicate the quality and justify the price point Finished with bold typographic overlays (drop date, collection name, "limited run" urgency text) and a hard-hitting trap/electronic soundtrack that matches the brand's energy Outcome Delivered a drop-ready campaign video that creates urgency and desire in under 30 seconds. The brand gets a full editorial-quality fashion film produced from product photos alone, no models booked, no location permits, no post-production house, just AI video generation and sharp creative direction.

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Automotive Brand: AI Cinematic Car Ad for Launch The Brief An automotive brand needed a cinematic short-form video ad that captures the presence and performance of their vehicle without a full production shoot. The goal: a 15-30s video that makes the car feel powerful, desirable, and aspirational, optimized for YouTube pre-roll, Instagram Reels, and paid social campaigns. My Process Started with high-resolution photos of the vehicle covering key angles: front three-quarter, side profile, rear stance, interior cockpit, wheel detail, and badge close-up Generated AI video sequences with sweeping, cinematic camera movement that orbits the car, mimicking the tracking shots you see in high-budget car commercials Built a visual narrative in three acts: dramatic reveal (headlights cutting through darkness), dynamic driving sequence (motion blur, road reflections, speed), and hero pose (parked in an aspirational environment with the full silhouette on display) Used dramatic lighting throughout (low-key with sharp highlights tracing the body lines, wet-road reflections, golden-hour backlight) to sculpt the car's shape and make every panel and curve feel intentional Added subtle environmental motion (rain on the hood, dust kicking behind the wheels, light sweeping across the paint) to create atmosphere and tension Finished with a bold, minimal text overlay (model name, tagline, horsepower/torque stat) and a deep, bass-driven soundtrack to match the energy of the vehicle Tools Used AI video generation (photo-to-video with camera orbit, lighting, and environment control), automotive scene composition, CapCut/Premiere for pacing, text overlays, sound design, and final export Outcome Delivered a showroom-quality car ad that rivals the visual impact of a traditional shoot with location scouts, car rigs, and a full film crew. The brand gets a launch-ready campaign asset produced entirely from static vehicle photos at a fraction of the cost and timeline.

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Samuel Olowo

AI Video Ads That Convert | AI UGC | Products and App Demo