I’ve always wanted those buttery-smooth FPV drone shots you see in travel reels. You know the ones, where the camera dives through a canyon or rockets over a coastline. The catch? Drones are pricey, tricky to fly, and banned in half the cool spots. So when I came across a post from an AI professional who fakes the whole thing with no drone at all, I had to share it.
The original poster lays out a wild idea: draw a flight path on an image, then ask AI to generate a high-speed FPV shot that follows that exact path. No propellers, no crash landings, no permits. Just a sketch and a prompt.
But here’s why I really liked this creator’s take. Instead of selling you the dream, the expert is honest about where it breaks, then hands you a fix that actually works. That’s the kind of content worth breaking down.
The myths people keep repeating
This trick has been floating around social media for a while, and a lot of folks share it like it’s magic. The person who posted it cuts through the hype. Let’s walk through the popular misconceptions, then the truth behind each one.
Myth 1: You need a real drone for cinematic FPV shots. Not anymore. The author shows you can fly anywhere virtually. You take a still image, draw the route you want the camera to travel, and let a video model do the flying. The result mimics that fast, swooping FPV style without a single piece of hardware.
Myth 2: One prompt gives you a clean, finished video. This is the big one. The original poster is blunt here: when you actually try it, the output often disappoints. Whether you use Google’s Gemini Omni or Seedance 2.0, the AI tends to bake your annotation right into the video. That means your flight path and arrows show up as ugly red lines drawn across the footage. The very thing you used to guide the camera ends up ruining the shot.
Myth 3: If it looks bad, you just re-roll until it’s perfect. Plenty of people treat these models like a slot machine. Generate, hate it, generate again, repeat. The expert points out this can take many iterations, and sometimes you never get a clean version at all. Rolling the dice ten times burns time and tokens with no guarantee.
Myth 4: Generating two videos always costs more than one. Sounds logical, but the creator flips it. Their workflow produces two videos on purpose, and it still ends up cheaper than gambling on a single perfect take.
The fix that changes everything
So how does this savvy professional solve the red-line problem? With one extra step: Gemini Omni video editing.
Instead of trying to roll a flawless video from scratch, the author embraces an imperfect one and edits the flaw out. The process looks like this:
- Take your image and draw the flight path you want the camera to follow
- Generate the FPV video with Gemini Omni or Seedance 2.0, even if it comes out with red lines and arrows
- Feed that imperfect clip into Gemini Omni’s video editing and ask it to clean up the annotations
And the prompt the creator uses is refreshingly simple. According to the post, you just tell it:
“Remove the red line and arrows” – it works.
That’s it. No fancy masking, no manual rotoscoping, no jumping into pro editing software. You let one AI fix what another AI got wrong.
Why this is smarter than re-rolling
Here’s the part that made me rethink how I use these tools. You’d assume making two videos doubles your cost. The original poster explains why it doesn’t. When you re-roll a single generation over and over hoping for a clean result, each failed attempt still eats tokens. Stack up ten misfires and you’ve spent far more than two clean steps.
By generating one imperfect video and running one quick edit, the expert keeps the total token count low and the success rate high. Two intentional steps beat ten random ones. I think that’s a genuinely useful mindset shift for anyone working with generative video.
The bigger lesson
The truth readers should walk away with is the one the creator ends on: stop chasing the perfect first try. Generative video models still slip up, and fighting that with brute force just drains your budget.
Embrace imperfection, because video editing models are catching up.
That last line stuck with me. We’re moving into a stage where you don’t need a clean generation, you need a clean correction. The editing models are getting good enough that fixing beats re-rolling. As they improve, this two-step approach is only going to get faster and cheaper.
How you can try it
- Pick a striking still image, a landscape, a city street, a mountain ridge
- Sketch the camera path you want, arrows and all
- Generate the FPV clip and don’t panic if red lines appear
- Run a quick Gemini Omni edit to wipe the annotations
- Compare your token spend against your old re-roll habit and watch the savings
I love finds like this because they take a hyped trick and make it actually usable. Huge credit to the original poster for being honest about the flaws and sharing a real fix instead of just the highlight reel. Go check out the full LinkedIn post for the finer details and see this workflow in action.