AI video generation has become much easier to experiment with. A few years ago, creating a short cinematic video usually required a camera, actors, editing software, and plenty of time. Today, you can start with a simple idea and turn it into a short video using AI.
One workflow I've been experimenting with is using MiniMax H3 for short AI-generated videos. It can work with text prompts as well as visual references, which makes it useful when you want more control over the final result.
In this article, I'll walk through a simple workflow for creating an AI video, from coming up with an idea to refining the final generation.
1. Start With a Simple Video Idea
The first step is actually the easiest: decide what you want to create.
You don't need to come up with an entire movie. Short scenes usually work better when you're experimenting with an AI video generator.
For example, you could create:
- A futuristic city at night
- A product advertisement
- A character walking through a forest
- A cinematic travel scene
- A short science-fiction scene
- An animal doing something funny
Let's use a simple example:
A robot walking through a futuristic city during heavy rain.
That's enough to get started, but the result will usually be much better if you add more information.
2. Make the Prompt More Detailed
AI video models need to understand more than just the subject.
Think about the scene as if you were explaining it to a cinematographer.
Instead of:
A robot walking through a futuristic city.
Try:
A humanoid robot slowly walking through a futuristic city at night during heavy rain. Neon signs reflect across the wet streets. The camera follows the robot from behind with a slow cinematic tracking shot. Steam rises from the street, while distant flying vehicles move between skyscrapers. The scene has realistic lighting and a dark science-fiction atmosphere.
The second prompt gives the model much more information.
It describes the subject, environment, weather, camera movement, lighting, and overall mood.
3. Think About Camera Movement
One thing that can make an AI-generated video feel more cinematic is describing how the camera should move.
You can experiment with phrases such as:
- Slow tracking shot
- Close-up shot
- Wide establishing shot
- Low-angle shot
- Camera slowly zooms in
- Camera follows the subject
- Camera moves around the character
- Static camera
- Handheld camera movement
For example:
The camera slowly moves toward the character while maintaining a medium shot.
This is usually more useful than simply saying:
Make it cinematic.
"Cinematic" is a broad instruction. Describing the actual camera movement gives the model something more concrete to work with.
4. Use an Image as a Reference
Text prompts aren't always enough when you need a specific visual appearance.
For example, imagine you're creating a video for a product. You already have a product image, but you want to turn that static image into a short promotional clip.
An image reference can help establish what the product should look like.
This is one reason multimodal video generation is interesting. Instead of relying only on text, you can combine text instructions with visual references.
For example:
Use the uploaded product image as the main subject. Place the product on a modern kitchen counter. The camera slowly moves from left to right while natural sunlight enters through the window.
The image provides the visual information, while the prompt describes what should happen.
For developers who want to experiment with this type of workflow programmatically, the MiniMax H3 API provides access to multimodal video generation capabilities.
5. Keep the First Video Simple
One mistake I've noticed when experimenting with AI video generation is trying to put too much into a single prompt.
For example, you might ask for:
A character running through a city, jumping onto a motorcycle, fighting three robots, entering a spaceship, flying into space, landing on another planet, and meeting an alien.
That's a lot of actions for a very short video.
The model has to handle multiple characters, locations, actions, and transitions at once.
A simpler scene is usually easier to control.
Instead, create separate clips:
Scene 1: Character walking through the city.
Scene 2: Character gets on the motorcycle.
Scene 3: Motorcycle drives through the city.
Scene 4: Character arrives at the spaceship.
You can then combine the clips during editing.
This approach also gives you more flexibility if one scene doesn't turn out well.
6. Experiment With Different Prompts
Don't expect the first generation to be perfect.
AI video generation is often an iterative process.
A useful workflow is:
Write → Generate → Review → Adjust → Generate Again
For example, your first prompt might produce a camera movement that is too fast.
Instead of completely changing the prompt, modify that specific part:
The camera slowly follows the character from behind with smooth, stable movement.
If the lighting isn't right, add more specific lighting instructions.
If the character isn't consistent, simplify the scene and provide a stronger reference image.
Small changes can sometimes produce surprisingly different results.
7. Pay Attention to Motion
A good-looking image doesn't necessarily produce a good-looking video.
Video introduces another variable: movement.
When reviewing a generated clip, look at:
- How the character moves
- Whether objects move naturally
- Whether the camera movement makes sense
- Whether the background changes unexpectedly
- Whether the subject remains consistent
- Whether transitions between actions look natural
For example, a product video might have a beautiful first frame but strange movement once the product starts rotating.
In that case, simplifying the requested motion may produce a better result.
8. Try Different Video Styles
Once you understand the basic workflow, you can experiment with different visual styles.
For example:
Cinematic
Cinematic lighting, shallow depth of field, realistic camera movement, dramatic atmosphere.
Commercial
Clean studio lighting, premium product presentation, smooth camera movement, polished advertising style.
Anime
Detailed anime-inspired environment, expressive character movement, vibrant visual style.
Documentary
Natural lighting, realistic handheld camera movement, documentary photography style.
The same basic scene can look completely different depending on how you describe the visual direction.
9. Consider Audio When Creating a Scene
Video isn't only about visuals.
Sound can make a short clip feel much more complete.
For example, a rainy city scene could include:
- Rain
- Distant traffic
- Footsteps
- Wind
- Neon signs buzzing
- Background city noise
Instead of adding audio later, you can describe the desired sound as part of your creative instructions when the generation workflow supports it.
This is particularly useful for short cinematic scenes where atmosphere matters as much as the visuals.
10. Use AI Video for Small Creative Projects
You don't necessarily need a huge project to benefit from AI video generation.
Some of the most practical uses are actually quite small.
For example, you could create a 10-second product teaser for social media, animate a concept illustration, turn a travel photo into a short clip, or create a visual introduction for a presentation.
The important thing is to start with a manageable idea.
Once you understand how prompts, references, camera movement, and motion affect the result, you can gradually build more complicated workflows.
Final Thoughts
AI video generation is still evolving quickly, but the basic creative workflow is becoming easier to understand.
Start with a simple idea, write a detailed prompt, add a reference image when necessary, generate a short clip, and then refine the result based on what you see.
You don't need to create an entire film in one generation.
In many cases, creating several short clips and combining them during editing gives you much more control over the final video.
For developers, multimodal APIs such as the MiniMax H3 API also make it possible to move beyond manually creating individual videos and experiment with automated AI video workflows.
The technology is changing quickly, so the best way to understand what it can actually do is still pretty simple: pick an idea, write a prompt, generate a clip, and start experimenting.
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