How to create AI videos using Syntx.ai storyboards
Imagine: you upload a single character, describe your idea in two sentences, and within minutes you get a finished storyboard for a series, commercial, or animated film. Then, with one click, you bring the entire story to life. Sounds like something that hasn't been invented yet? Actually, it's already working in Syntx.ai. Let's explore how to create AI video using familiar tools like Nano Banana and SeeDance through a storyboard, and why this approach is currently considered one of the most convenient for content makers.
Before we begin, it's important to understand one simple thing. The quality of the final video depends largely not on the video generation itself, but on how well the source materials are prepared. That's why the workflow is built in three stages: character creation, storyboard creation, and only then animation.
Creating a Character Map: First Stage – Working with a Character Generation Neural Network
Most users make the same mistake. They try to generate video immediately, without preparing the character in advance. As a result, the hero looks different in every scene: facial shape, clothing, hairstyle, age, and even mood change. That's why professional AI content production almost always starts with a character map.
To do this, go to the "Text" section and select Claude or ChatGPT. Paste the instruction for creating the map. We've created it for you and uploaded it here – just copy it.
Then describe the character. The more details you include in this initial description, the easier it will be for the neural network to maintain their appearance throughout the entire story.
You can describe age, build, facial features, clothing, mannerisms, and even personality traits.
If you already have an image of the character, be sure to upload it to the chat. Even a single photo helps the model understand much more precisely what result is required.
Copy the prompt generated by Claude, and go to the "Design" section. Here, select Nano Banana – one of the most powerful models for character work. Many users know it as a tool that can preserve a character's appearance with maximum accuracy across generations.
Upload the character photo, paste your prompt, and run the generation.
In a few minutes, you get a finished character map: a special collage showing the character from several angles at once. This document will be used at all subsequent stages.
Essentially, this map becomes your character's passport. Thanks to it, the system understands exactly how the hero should look, regardless of what's happening in the scene.
For series, educational videos, and long narrative projects, this stage is mandatory. If you skip it, even the most advanced character generation neural network will eventually start producing visual inconsistencies.
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Creating a Storyboard: How to Generate a Description and Storyboard for Your Future Story
After the character is ready, you can move on to the next stage. This is actually where the quality of the future video is born.
Many beginners try to generate AI video immediately, limiting themselves to one short prompt like "guy walking down the street" or "girl traveling through Europe." The problem is that such prompts produce random results. The video might look beautiful, but it usually lacks a story. A storyboard solves this problem. Essentially, a storyboard is a visual script for the future video. It breaks the story down into individual key scenes and allows you to see the narrative logic in advance.
Go back to the Claude chat. At this stage, you no longer need to describe every frame in detail. It's enough to tell the core idea of the future video.
For example: "A robot travels across Mars and discovers signs of an ancient civilization." Or: "A young entrepreneur launches a startup and goes from the first idea to an international company."
Be sure to attach the character map to the request. This way, the system will take the character's appearance into account when building all the scenes.
After generation, you get a detailed prompt and go to the "Design" section.
Here, select GPT Image. We recommend using the second version of the model, 16:9 format for horizontal video, and 2K resolution. This combination gives a good balance between generation speed and image quality. Paste the prompt you got earlier, upload the character map, and start the process. Next, upload the storyboard creation instruction from the same document we prepared for you.
In a few minutes, the system creates a full-fledged storyboard. Essentially, we get a ready-made story in pictures. Each frame shows a separate stage of the plot, and all images are connected by a common logic.
If any frame looks unsuccessful, you don't need to redo the entire project. Just go back to Claude and ask for targeted changes to that specific scene.
This is one of the reasons why modern video aggregators are becoming more and more popular. They allow you to quickly refine the project at any stage without starting over from scratch.
Additionally, a good storyboard helps you spot problems with composition, pacing, and visual storytelling in advance. Fixing such errors at the image stage is significantly easier and cheaper than after generating the full video.
Bringing the Storyboard to Life: How to Generate AI Video in Syntx
Now we move on to the most exciting stage. We already have a character. We have a finished story. All that's left is to turn it all into a full-fledged video. To do this, open the "Video" section and select SeeDance version 2.0.
Today, this model is considered one of the most convenient for working with storyboards, as it can read a sequence of frames and turn them into a cohesive animation.
Choose a resolution, e.g., 1080p, activate Pro mode, set the aspect ratio to 16:9 and duration up to 15 seconds. Then attach two files: the character map and the finished storyboard.
As the prompt, use the short instruction from our document. Additional detailed description of what's happening is no longer required at this stage.
This is one of the main advantages of working through a storyboard. Instead of long requests, the system receives a ready-made visual structure of the story and independently understands how to connect the scenes together.
Pay special attention to image tags. After uploading files, the system automatically assigns them special identifiers. For example, like ours: Image1 and Image2. They need to be correctly linked to the corresponding objects in the text. Look at our screenshot and simply repeat it. The logic is pretty straightforward.
At first glance, this might seem like a small detail, but it's precisely the correct tag linking that helps the model understand which character should appear in which scene.
After checking the parameters, run the generation and after some time you'll get the final video.
This is exactly how the modern approach to AI content creation works. Instead of generating individual scenes manually and then assembling them in an editor, we build the project structure in advance and let the system automatically handle most of the technical work.
That's why the Syntx aggregator is used today not only by beginners but also by experienced content makers. The platform allows you to combine the work of text models, graphic generators, and video neural networks within a single project.
Essentially, the Syntx AI neural network turns into a full-fledged creative studio, where you can first generate a description, then generate an image, create a storyboard, and only then generate AI video while preserving the logic of the plot and the appearance of the characters. This approach allows you to produce videos that don't look like a random collection of frames, but like real stories. And that's exactly what most authors come to the world of AI content for today.
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