The last time I shared a Veo3 fast video using JSON Prompt, some of you asked me about this technique and how you can use it.
Lately, I started learning and experimenting with JSON Prompting after seeing so many amazing video results on X using it.
Here’s everything you need to know + a GIFT 🧵
JSON stands for JavaScript Object Notation, but don’t let the name scare you.
It’s just a way to organize information clearly so computers and AI models can understand things like how the camera moves, what the colors should look like, what the sound feels like, and who the subject is and what they’re doing.
Think of it like this:
Instead of writing:
> A child sits and grows old.
You write it like a checklist:
{
"subject": "child",
"action": "grows old",
"location": "porch"
}
```
Each part is labeled. That makes it easier for the AI to know what’s happening and how to build your video, especially when you want cinematic control like camera angles, lighting, or sound.
To get cinematic-quality video, we need to include a few essential parameters.
Here's a breakdown of what matters:
Shot
➤ Composition, lens, frame rate, camera movement.
Subject
➤ Who’s in the scene, what they wear, what they carry.
Scene
➤ Location, time of day, environment.
Visual Details
➤ Actions, special effects (FX), hair/clothing motion.
I turned a static image into a full animation without leaving Leonardo.
Used Lucid to create it, refined with Omni Editing, then brought it to life with Motion 2.0, all in one smooth flow.
Here’s exactly how I did it 👇🏻
Step 1: Create your image
Start by generating your base image.
You can choose from:
• GPT-Image-1: perfect for creative control
• FLUX – great for contextual, editable outputs
• Lucid Realism: ideal for photorealistic quality, or any model you wish to use
I chose Lucid, Leonardo’s powerful realism model,
and used this prompt to create my images 👇🏻
stunning woman with porcelain skin, subtle rosy cheeks, sitting cross-legged on sleek dark hardwood floor, fitted black leather jacket with soft sheen, high-neck crisp white blouse, high-waisted dark blue stretch jeans, polished black loafers with slender heel, raven-black messy updo with loose strands framing heart-shaped face, piercing green eyes locked on camera, subtle enigmatic smile, creamy neutral background gradating warm beige to pale gray, soft diffused studio lighting, sharp facial features, athletic build, clean minimal aesthetic, intense editorial focus on subject
Step 2: Edit directly with Omni Editing
Click on your image and use the inline prompt bar to make changes instantly. Add objects, adjust lighting, change backgrounds, or modify styling, all without leaving the viewer.
Use FLUX Kontext for fast, detailed edits that preserve your subject.
Or switch to GPT-Image-1 for multi-reference and concept variations.
Once you're happy with the result, simply click on the image and select Upscale to enhance the quality and resolution.
But no one’s telling you how to make one.
So I’ll do it
7 wild videos + prompts, you can steal it.
Bookmark this for later
1. A handheld tracking shot follows a young afro-american male street reporter in his late 20s, energetically approaching pedestrians on a sunny downtown sidewalk. He stops a confused elderly man and asks, “Sir, do you think dogs should vote?” The man pauses, then replies, “Only if they pay taxes!” Passersby chuckles in the background. The scene captures candid laughter, framed with a shallow depth of field, warm natural lighting, and a touch of lens flare as sunlight peeks past city buildings.
2. A full handheld shot captures a drenched male reporter in a bright yellow raincoat, clutching his microphone as he braces against howling wind and driving sheets of rain. The frame trembles with urgency, water splashing violently around his knees as he shouts into the storm. “The flooding has reached critical levels..... wait..... is that... a whale?!” he exclaims, wide-eyed. The camera pans shakily to the side, struggling to stabilize, revealing the colossal, ghostly form of a blue whale gliding past, its immense body eerily graceful as it cuts through the floodwaters, just meters away from the stunned reporter.
I get this question all the time:
"Can you make a library to track all your prompts?"
Honestly, I’ve been meaning to, but I’m not a developer.
Then I stumbled on Emergent, and it looked super simple. So I reached out to their team, and they were incredibly helpful. Walked me through everything.
And somehow… 10 minutes later, I had my first working app:
A Midjourney / ChatGPT prompt tracker live and real. 😍🔥
Here’s exactly how I did it, step by step 👇🏻
@EmergentLabsHQ is the world’s first agentic vibecoding platform, turning raw ideas into full-stack apps in minutes.
Just describe what you want, and AI agents instantly generate production-ready apps with sleek UIs and real Python backends.
- Head to
- Log in with Google or email
- Type your idea into the prompt box
- Let Emergent generate your full-stack app
- Click “Preview” to view a live preview
- Hit “Deploy” to take it live in production
Simple as that, no code, no setup, just type and buildemergent.sh