how i steal viral videos with ai - branded dropshipping
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,…
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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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