how i steal viral videos with ai - branded dropshipping

Alex Djordjevic · Beginner ·🎨 Image & Video AI ·2mo ago
This is the exact workflow I use to identify a viral video, extract its core variables — movement, framing, aesthetic — and recreate it for my own product using AI. No original footage. No film crew. Just a screenshot, prompt, and a few image and video models. By the end you'll know how to clone any viral video for your brand and hand the entire process off to a VA. Tools Used: Analysis & Swipe File: Floh, OpenClaw Agent (floh waitlist: https://app.floh.ai/waitlist) Movement Extraction: Gemini (video → JSON) Image Generation: Freepik, Nano Banana Pro Video Generation: Google Veo 3, Kling 3.0, Sora 2 Pro Timestamps: 00:00 – Intro 00:10 – Finding a viral video and saving it to your swipe file 01:50 – Screenshotting the first frame of each scene 02:33 – Extracting scene movement as JSON using Gemini 04:04 – Setting up your generation workspace in Freepik 05:06 – Removing text and generating the background image (Nano Banana Pro) 07:21 – Running 10 image variations and picking the best 09:50 – Upscaling the winner 2x before video generation 10:12 – Generating video from your image: Veo 3 vs Cling 3.0 vs Sora 2 Pro 14:10 – Comparing outputs and picking the winner 16:02 – Adding text + music overlay — done Key Points - The real unlock is extracting scene movement as JSON — this becomes the brief for video generation so the AI recreates the camera behavior exactly, not just the look. - Generate the background image first without text, then add copy in post — noticeably better output quality. - Run 10 image variations before moving to video. By the time you're at video gen you should already know what you want — 2 variations is enough. - Kling 3.0 produced better motion than Veo 3 at roughly half the credit cost. Don't default to the expensive model without testing. - Sora 2 Pro hallucinated completely on this test — worth knowing before burning credits. The entire workflow is fully VA-executable (and ai agent executable hehe ). Design it once, hand it off, get content
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Chapters (11)

Intro
0:10 Finding a viral video and saving it to your swipe file
1:50 Screenshotting the first frame of each scene
2:33 Extracting scene movement as JSON using Gemini
4:04 Setting up your generation workspace in Freepik
5:06 Removing text and generating the background image (Nano Banana Pro)
7:21 Running 10 image variations and picking the best
9:50 Upscaling the winner 2x before video generation
10:12 Generating video from your image: Veo 3 vs Cling 3.0 vs Sora 2 Pro
14:10 Comparing outputs and picking the winner
16:02 Adding text + music overlay — done
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