Lanta AI LogoLanta AI
AI video prompting guide

How to Write Better Prompts for AI Video Generation

A beginner-friendly guide to finding prompt ideas, structuring motion, camera, style, and audio details, and adapting your prompts for different AI video generation models.

Lanta AI Editorial Team
June 3, 2026
11 min read
Blog cover for How to Write Better Prompts for AI Video Generation, showing a minimal AI video prompt interface and cinematic video preview.

A strong video prompt describes not only what appears on screen, but also what moves, how the camera behaves, what style the shot should follow, and what atmosphere the model should preserve.

Learning how to write better prompts for AI video generation can make a big difference in your final results. A well-written AI video prompt helps the model understand the subject, motion, scene, camera angle, visual style, and atmosphere. Whether you are creating text-to-video clips, animating an image, or testing different AI video models, this guide will help you write clearer prompts and get more consistent video outputs.

What If You Have No Prompt Ideas?

At the beginning of AI video generation, many people do not know what to write. This is normal. Many times, you are not struggling because you do not know how to write an AI video prompt. You are struggling because you do not know where to start.

A good AI video idea often begins with a strong visual image. Once you have a picture, screenshot, or video frame as your reference, it becomes much easier to turn that visual idea into a clear prompt.

A better way is to start with an image you like and build your prompt from there.

Build Your Prompt from an Image You Like

You can take a screenshot from a YouTube video, a movie scene, a music video, a product ad, or any creative image you find. Then you can use ChatGPT or Gemini to help describe the image and extract a useful prompt from it. Use it as a base and make small changes. You can change the character, pose, outfit, pet, or background.

For example, you may see a creative video idea where a box shakes and jiggles, and then a little robot suddenly breaks out of the box. Instead of using the same robot, you can replace it with a chubby orange cat. The new prompt could become:

A cardboard box shakes on the floor, then a chubby orange cat suddenly jumps out, looking surprised and playful.

Original scene structure

A small robot breaks out of a shaking cardboard box.

Revised prompt idea

The same scene structure becomes a playful orange cat jumping out of the box.

This way, you are not copying the original idea directly. You are borrowing the structure of the scene and turning it into something new.

Once you have a revised prompt, generate a key image first. Choose the image that best matches your idea, then use it as the starting frame for your AI video.

Use AI Prompt Communities for Inspiration

AI prompt communities and showcase pages can also be a good place to find ideas. Many creators browse platforms such as Midjourney Explore, PromptHero, Lexica, OpenArt, Civitai, or the official galleries from tools like Runway, Kling, Luma, and Pika.

  • cinematic + storm + wide shot
  • sports car + snow + drone view
  • skateboarder + mountain road + motion blur
  • urban street + magical portal + handheld camera

The goal is not to copy someone else's prompt exactly. Instead, look at the visual combinations people often use. Once you find a style or scene structure you like, replace the subject, location, action, or camera movement with your own idea.

For example, if you see a prompt about a sports car drifting through snow in a drone shot, you can change it into a motorcycle racing through a desert road, a robot running through a frozen city, or a girl skating across an icy lake. The structure gives you inspiration, but the final video idea becomes your own.

General Prompt Structure for AI Video Generation

Before writing advanced prompts for different AI video models, it helps to understand the basic structure of a good video prompt. A simple formula is:

Subject->Action->Setting->Camera Movement->Visual Style->Audio

The first two parts, subject and action, are the foundation of the prompt. They tell the model who or what should appear in the video and what should happen. For example, "a woman dancing," "a robot walking through the desert," or "a dog running across a beach."

The next parts, setting and visual style, help define the look and mood of the video. You can describe the location, lighting, weather, color tone, or artistic style. For example, "on a rooftop at golden hour," "inside a neon-lit cyberpunk street," or "with soft cinematic lighting and realistic film texture."

Then you can add camera movement and audio to make the video feel more complete. Camera details such as "slow dolly-in," "handheld tracking shot," or "360-degree orbit shot" help guide the motion of the scene. Audio details such as "soft wind," "distant traffic," or "dramatic background music" can also make the result feel more immersive, especially for models that support audio generation.

A woman dances on a rooftop.
A young woman in a flowing red dress dances barefoot on a city rooftop at golden hour. The camera slowly orbits around her from a low angle. Warm sunset light reflects from the buildings, with soft wind and distant city traffic in the background.

This version gives the AI video model a clearer creative direction. The more clearly these elements work together, the more likely the model is to generate a video that matches your idea.

Use Camera Movement

A good AI video prompt should not only describe what appears in the scene. It should also describe how the camera moves.

Camera movement helps the AI understand the rhythm, focus, and emotion of the shot. Instead of writing:

A man stands in a city at night.

Write:

A cinematic medium shot of a man standing on a neon-lit city street at night. The camera slowly pushes in toward his face as rain falls around him. Soft reflections glow on the wet pavement, creating a dramatic and emotional mood.

Here are some useful camera movements for AI video prompts:

Camera DirectionBest ForExample Prompt Detail
Slow push-inEmotion, drama, product focusThe camera slowly pushes in toward the subject
Tracking shotRunning, racing, action scenesThe camera follows beside the car as it speeds forward
Orbit shotProduct, character, hero shotsThe camera smoothly circles around the subject
Low-angle shotPower, hero feeling, impactShot from below to make the character look strong
Wide shotScene setup, environmentA wide shot reveals the full snowy mountain road
Close-upFace, detail, textureA close-up of the singer's face as she performs
Handheld cameraRealistic, tense, documentary styleSlight handheld camera movement adds realism

For better results, use one main camera movement per shot. If you add too many camera directions in one prompt, the video may look unstable or confusing.

Describe the Action Clearly

AI video is built around movement, so the action needs to be specific. A prompt should explain what the subject is doing, how fast the action happens, and what details move in the scene.

Avoid vague prompts like:

A woman in a beautiful forest.

This describes the image, but it does not give the AI enough motion information.

A stronger prompt would be:

A young woman walks slowly through a misty forest, gently brushing her hand across the tall grass. Her hair moves softly in the wind as the camera tracks beside her. Sunlight filters through the trees, creating a calm and dreamy atmosphere.

When writing action prompts, use specific verbs such as:

Simple VerbMore Specific Version
moveslowly turns, slides, rushes forward
walkwalks carefully, walks confidently, walks through mist
runsprints, races, rushes across the scene
lookturns toward the camera, glances upward, looks over her shoulder
drivespeeds forward, drifts around a curve, accelerates through snow
dancespins gracefully, steps in rhythm, moves with the beat

The more clearly you describe the movement, the easier it is for the AI model to generate a video that feels intentional, natural, and cinematic.

Different Video Models Need Different Prompt Styles

One important thing to understand about AI video prompting is that the same idea may need to be written differently for different video models. A prompt that works well in one model may feel too loose, too detailed, or too unstructured in another.

For example, imagine you want to create a simple scene: a woman in a red dress dancing on a rooftop.

For Seedance 2.0, the prompt works better when it includes clear cinematic and visual details:

A young woman in a flowing red silk dress dances barefoot on a rooftop at golden hour. Slow 360-degree orbit shot, low angle. Warm tungsten bounce light from city lights below. 35mm film grain.

This style gives the model specific information about the subject, motion, camera angle, lighting, lens feeling, and visual texture.

For Kling 3.0, a more structured, scene-based format often works better:

Scene: A brick tenement rooftop at golden hour, fairy bulbs strung overhead. Character: A young woman in a flowing red silk dress, barefoot, curls catching sunlight. Action: She spins; the dress flares; she pauses, smiles, and looks toward the city. Camera: Slow dolly-in, then a 270-degree orbit from a low angle.

This prompt feels more like a short video script. It separates the scene, character, action, and camera movement, which helps the model understand the shot step by step.

For HappyHorse 1.0, a shorter and more compact prompt can work better:

A young woman in a flowing red silk dress dancing on a city rooftop at golden hour, slow circular tracking shot, warm side light, hair and dress flowing, with soft wind and distant traffic audible.

This version keeps the key information but avoids making the prompt too long. It focuses on the subject, setting, movement, camera style, lighting, and audio atmosphere in one clean sentence.

The point is not that one prompt style is right and the others are wrong. The key is to match your prompt style to the model you are using.

Text-to-Video and Image-to-Video Prompts Are Different

Text-to-video and image-to-video prompts should not be written in exactly the same way. The reason is simple: text-to-video starts from nothing, while image-to-video already has a visual reference.

Text-to-Video Prompts

For text-to-video, your prompt needs to describe what the video looks like and what happens. The model does not know what the scene looks like yet, so you need to explain the subject, setting, action, camera movement, lighting, mood, and style.

A cinematic wide shot of a red sports car racing through a snowy mountain road at night. The car drifts around a sharp curve, throwing snow into the air. The camera follows from a low angle beside the car, creating a fast and intense feeling. Bright headlights cut through the falling snow, with blue northern lights in the sky. Realistic physics, dramatic motion blur, high-detail cinematic style.

This type of prompt works well when you want to generate a complete video scene from scratch.

Image-to-Video Prompts

Image-to-video prompts should describe how the existing image moves. The first frame already gives the model a lot of visual information. You do not need to repeat every static detail in the image.

Animate the image into a cinematic 5-second video. The sports car accelerates forward and drifts slightly to the left, throwing snow behind the rear wheels. The camera tracks beside the car with a low-angle perspective. Add natural snow particles, realistic tire movement, headlight glow, and subtle motion blur. Keep the car design, color, and background consistent with the original image.

This style is best when you already have a strong first frame and want to bring it to life. The key is to guide the motion without changing the original image too much.

How to Write Prompts for Long AI Videos

When creating a longer AI video, do not try to generate the whole video with one single prompt. Most AI video models are still better at generating short clips, usually around 4-5 seconds or 5-10 seconds. If you ask the model to create a full long video at once, the result may lose consistency, skip important actions, or look visually messy.

A better workflow is:

Write a script->Break it into shots->Generate keyframes or first frames->Create each shot separately->Edit the clips into one complete video

For example, if you want to create a 15-second video, you can break it down like this:

TimeShot ContentPurpose
0-3sEstablish the scene and show the environmentLet viewers understand where the story happens
3-6sThe main subject begins the actionBuild the rhythm
6-10sThe most exciting action happensCreate the visual highlight
10-13sAdd a close-up detail shotMake the video feel richer
13-15sEnd with a final frame, brand moment, or emotional closeLeave a clear memory point

For example, instead of writing one long prompt for a snowy racing video, you can divide it into five short shots:

TimeShot
0-3sA drone shot shows a snowy mountain road as a red sports car enters the frame.
3-6sA low-angle tracking shot follows the car as it speeds past the camera, throwing snow into the air.
6-10sThe car drifts around a sharp curve while the camera orbits around the body of the car.
10-13sA close-up shot of the wheels spinning through the snow, with ice and powder flying outward.
13-15sThe car races toward the distance under glowing northern lights, ending with a cinematic wide shot.

This method gives you more control over the final video. Each shot has a clear purpose, camera angle, action, and mood. It also makes the video easier to edit because every clip is designed to connect with the next one.

Final Thoughts

A strong prompt should describe the subject, action, camera movement, visual style, lighting, and mood. The more clearly you explain what should move and how the camera should capture it, the easier it is for AI to generate a video that feels natural, cinematic, and intentional.

Ready to turn your ideas into videos? Try Lanta AI Video Generator to create AI videos from text prompts or images. Whether you want to make social media clips, product videos, music videos, story scenes, or creative short films, Lanta AI helps you generate smooth, cinematic videos in just a few steps.

FAQ

Do I need a long prompt for every AI video?

No. A prompt should be long enough to clarify the shot, but not so long that the model receives conflicting directions. For one short clip, focus on one subject, one action, one setting, one camera movement, and one visual style.

What should I do if I have no AI video prompt ideas?

Start from a strong reference image, screenshot, or frame. Describe what you like about it, then change the subject, action, background, or camera movement to make the idea your own.

Should I include audio in an AI video prompt?

Include audio details when the model supports audio generation or when the sound atmosphere matters. Short cues such as soft wind, distant traffic, footsteps, or dramatic music can help define the mood.

How do I prompt a longer AI video?

Break the video into short shots. Write a separate prompt for each clip, generate keyframes or first frames when needed, then edit the finished clips together.