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What looks like a simple cartoon character on a screen can become a complete animated story.
This video takes us behind the scenes of the creative process
from the initial storyboard and rough sketches, to clean coloring, texturing, compositing, and the final animated scene.
The character starts as a simple drawing, then gradually comes to life with personality, movement, expressions, and a complete 3D environment.
It shows that great animation is not just about the final result. It is about the creative journey behind it.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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I built a simple workflow for creating consistent AI characters while saving time, money, and generations.
Watch the finished video:
View the final video
I start by creating a character in Midjourney, then refine it in Nano Banana and create a character sheet with different poses and angles.
The key step is using that character sheet together with the visual style and environment from my original Midjourney image. Instead of generating each shot individually, I ask Nano Banana to build a 3x3 grid containing nine different shots of the same character within the same environment. With a detailed prompt, I can define the framing, composition, and action for all nine shots in a single generation.
I can then extract the individual frames from the grid simply by asking Nano Banana to separate them. Finally, I use the most suitable frames as starting frames in tools like Kling or Veo to animate the shots and build the final sequence.
The idea is simple: instead of generating 150 images and throwing most of them away, I create a visual system first and generate multiple usable shots at once. It saves generations, reduces costs, and gives me much more consistency and control over the final video.
I used to think the secret to better AI video was writing longer prompts.
This project changed how I approach prompting.
I took one of my actual Seedance 2.5 prompts and broke it apart. What looked like one detailed prompt was actually several different shots, camera movements, actions, and cinematic directions competing for the model's attention.
So I started treating AI video prompts more like shot direction:
SHOT → SUBJECT → ACTION → ENVIRONMENT → CAMERA → MOTION → LOOK → CONSTRAINTS
In this walkthrough, I show the real process, including how I structure the prompt, generate the scene, identify what isn't working, and refine the instructions.
The lesson is simple:
Don't make the prompt longer. Make the instructions clearer.
Think like a director, not a novelist.
https://share.descript.com/view/iYh2ZNB0bt1
https://web.descript.com/3c176614-948b-4aad-81d8-392fd2c09c2d
This is Great! Can I DM you if I need help pls?
I will build a short educational video that uses AI-generated visuals, narration, and storytelling to explain an everyday subject in a simple and engaging way. My goal is to turn a basic topic into something visually interesting and easy to understand.
I chose this project because I believe learning becomes more powerful when information is presented through a combination of visuals, voice, and storytelling. I also want to explore how Descript and AI tools can transform a simple idea into a complete piece of content from concept to final video.