How to Make AI Videos: Complete Step-by-Step Guide

Introduction

Learning how to make AI videos no longer means simply typing a sentence into an AI video generator and hoping for a good result. The technology has evolved into a complete production workflow that can cover scripting, image generation, text-to-video, image-to-video, character consistency, voiceovers, lip sync, editing, captions, music, and even YouTube publishing.

The good news is that you do not need a camera, expensive production equipment, actors, or a traditional studio to get started.

The challenge is knowing which steps actually matter, which AI tools to use at each stage, and how to connect them into a workflow that produces something better than a collection of random AI-generated clips.

This guide explains how to make AI videos from beginning to end, whether you want to create YouTube videos, Shorts, cinematic scenes, faceless content, marketing videos, product demonstrations, educational content, or social media videos.

You will learn how to choose the right format, write the script, create AI video prompts, generate visuals, maintain consistent characters, add AI voiceovers, edit the final video, and publish it.

By the end of this guide, you will know exactly how to make AI videos from the first idea to the final published video.

How to Make AI Videos: The Complete Workflow

Before opening an AI video generator, it helps to understand the entire process.

A professional AI video workflow usually looks like this:

Idea → Script → Storyboard → Visuals → AI Video Generation → Voiceover → Music & Sound → Editing → Captions → Thumbnail → Publishing

You do not necessarily need a different tool for every step. Modern platforms increasingly combine several of these functions.

For example, Kling AI combines image and video generation with tools such as Motion Control and other creative workflows. HeyGen is particularly useful when the video requires an AI avatar or presenter. InVideo focuses heavily on turning ideas and scripts into complete videos, while Synthesia is particularly useful for presenter-led, educational, business, and training content.

The key is not finding one tool that does absolutely everything. It is building a workflow where each tool is used for what it does best.

The basic AI video workflow

Stage	What you create	Typical AI tools
Idea	Topic and concept	ChatGPT, research tools
Script	Narration and scenes	AI writing tools
Storyboard	Shot-by-shot plan	AI storyboard tools
Images	Characters, backgrounds, products	AI image generators
Video	Animated scenes	Kling AI, Runway and others
Avatar	Talking presenter	HeyGen, Synthesia
Voice	Narration	AI voice tools
Editing	Final sequence	AI video editors
Captions	Subtitles	AI caption tools
Thumbnail	YouTube thumbnail	AI image tools
Publishing	Final video	YouTube, TikTok, Instagram

The rest of this guide explains how to execute each stage properly.

This step-by-step process makes it much easier to learn how to make AI videos without wasting time on unnecessary tools or complicated workflows.

1. Decide What Kind of AI Video You Want to Make

The first step in how to make AI videos is deciding what you are actually producing.

Different video formats require completely different workflows.

That is why the best way to learn how to make AI videos is to choose the final video format before selecting your tools.

Common AI video types

Faceless YouTube videos

These usually combine a script, narration, stock footage or AI-generated visuals, B-roll, music, captions, and editing.

Cinematic AI videos

These depend more heavily on AI-generated images, text-to-video, image-to-video, camera movement, visual consistency, and detailed prompting.

AI avatar videos

These use a digital presenter who reads your script. Platforms such as HeyGen and Synthesia are particularly useful for this format.

AI Shorts

Short-form videos require a stronger hook, faster pacing, fewer scenes, and highly visual storytelling.

Product videos

These combine product images, AI-generated environments, camera movement, voiceovers, and promotional messaging.

Educational videos

These often work well with AI avatars, screen recordings, diagrams, narration, captions, and supporting visuals.

Choose the format before choosing the tool

This is an important rule.

Do not start by asking:

“Which AI video generator is the best?”

Instead ask:

“What kind of video am I trying to make?”

A cinematic storytelling video and a corporate training video have completely different requirements.

2. Start With a Strong Video Idea

AI can generate visuals extremely quickly, but it cannot compensate for a weak idea.

Before generating anything, define:

• Who is the video for?
• What problem does it solve?
• What should the viewer learn?
• What should the viewer feel?
• What action should the viewer take?
• Why should someone watch this instead of another video?

For YouTube, a useful concept can be expressed in one sentence:

This video helps [audience] achieve [result] without [major obstacle].

For example:

This video shows beginner creators how to make cinematic AI videos without filming themselves.

That single sentence gives you a direction for the script, visuals, and title.

When you know what you want to achieve, learning how to make AI videos becomes a much more structured process.

3. Write the Script Before Generating the Video

One of the biggest mistakes beginners make when learning how to make AI videos is generating visuals first and trying to invent a story afterward.

Reverse the process.

Write the script first.

If you are learning how to make AI videos for YouTube, this step also gives you a clear foundation for every scene that follows.

A simple YouTube structure is:

Hook

Grab attention immediately.

Problem

Explain what is difficult or frustrating.

Solution

Show the workflow or method.

Demonstration

Show examples or results.

Takeaway

Give the viewer a useful conclusion.

CTA

Tell the viewer what to do next.

For a short video, the script may only contain a few sentences.

For a long-form YouTube video, the script may contain several sections and dozens of individual shots.

Script-to-video tools

If you want the AI to handle more of the process automatically, platforms such as InVideo can turn a script or idea into a more complete video workflow.

You can learn more about the platform in the InVideo AI Review.

The advantage of this approach is speed.

The disadvantage is that fully automated workflows may give you less control over individual shots.

For maximum creative control, generate and manage your scenes separately.

4. Turn the Script Into a Shot List

A script tells you what is being said.

A shot list tells you what the viewer sees.

For example:

Scene	Narration	Visual
1	“Most creators are using AI video generators incorrectly.”	Creator looking at multiple AI tools
2	“The problem isn’t the tool. It’s the workflow.”	Chaotic workflow
3	“Start with the script.”	Script appearing on screen
4	“Then create your reference image.”	Character image generated
5	“Finally, animate it.”	Image becoming video
6	“Now you have a repeatable process.”	Finished cinematic scene

This step is extremely important for longer videos because it prevents you from generating unnecessary clips.

It also makes it easier to maintain visual continuity.

This is especially important when you want to learn how to make AI videos with multiple characters, locations, and scenes.

How to Make AI Videos With Consistent Characters

Character consistency is one of the hardest problems in AI video creation.

If you generate every scene independently, the same character may suddenly have:

• Different facial features
• Different clothing
• Different hairstyle
• Different age
• Different body proportions
• Different colors
• Different visual style

This can make an otherwise good video look artificial.

The solution: create a character reference first

Before generating your scenes, establish:

• Character appearance
• Age
• Clothing
• Hair
• Body type
• Facial characteristics
• Color palette
• Art style
• Environment
• Camera style

Then use the resulting reference image whenever possible.

For more advanced workflows, image-to-video and reference-based generation can help preserve the visual identity of the character.

Kling AI is particularly relevant here because its ecosystem includes image generation, image-to-video workflows, Motion Control, and other tools designed for more controlled AI video creation. Its current Canvas workflow also focuses on organizing larger projects and multiple scenes.

For a complete overview, read the Kling AI Review.

Try Kling AI:
If you want more control over cinematic scenes, image-to-video generation, and character-driven workflows, Try Kling AI and test the workflow with your own reference image.

How to Make AI Videos From Text

Text-to-video is one of the easiest ways to start creating AI videos, For beginners, it is one of the simplest ways to understand how to make AI videos from a written description.

The process is straightforward:

1. Write a scene description.
2. Choose a video model.
3. Enter the prompt.
4. Select the desired duration and settings.
5. Generate the video.
6. Review the result.
7. Improve the prompt or regenerate.

But the quality of the result depends heavily on how you describe the scene.

A weak prompt might be:

A man walking in a city.

A more useful prompt could specify:

A cinematic medium shot of a young man in a dark jacket walking through a rainy downtown street at night, neon reflections on wet pavement, realistic facial details, shallow depth of field, slow tracking camera movement, natural body motion, dramatic cinematic lighting.

The second prompt gives the model considerably more information about:

• Subject
• Environment
• Time
• Lighting
• Camera
• Movement
• Visual style
• Realism

How to Write Better AI Video Prompts

A useful AI video prompt can be structured around seven elements:

1. Subject

Who or what is in the scene?

2. Action

What is happening?

3. Environment

Where does the action take place?

4. Camera

How should the camera move?

5. Lighting

What kind of lighting should be used?

6. Style

Should the scene look cinematic, documentary, realistic, animated, commercial, or something else?

7. Motion

How should the subject and environment move?

Prompt formula

[Subject] + [Action] + [Environment] + [Camera] + [Lighting] + [Style] + [Motion]

For example:

A professional chef preparing pasta in a modern restaurant kitchen, carefully tossing the pasta in a pan, warm practical lighting, cinematic close-up, slow handheld camera movement, realistic food textures, natural movement, commercial food photography style.

The goal is not to write the longest possible prompt.

The goal is to provide the right information.

Once you understand this structure, you can apply the same principles to almost any workflow for how to make AI videos.

How to Make AI Videos From Images

Image-to-video is often one of the most reliable ways to create controlled AI scenes.

Instead of asking the AI to invent both the image and movement simultaneously, you first create a strong still image and then animate it.

The workflow is:

Concept → Reference Image → Animation Prompt → Video

This gives you more control over:

• Character appearance
• Clothing
• Composition
• Environment
• Product placement
• Lighting
• Visual style

It is particularly useful when you need a character or product to remain visually consistent.

Example

First create:

A realistic young woman standing in a futuristic Tokyo street at night.

Then animate it with:

She slowly walks toward the camera while the camera tracks backward, neon signs flicker naturally in the background, light rain falls, realistic hair movement, cinematic depth of field.

This separates visual design from motion design.

For creators who want more control over how to make AI videos, separating these two stages can make the entire workflow more predictable.

Text-to-Video vs Image-to-Video

Feature	Text-to-Video	Image-to-Video
Starting point	Text prompt	Existing image
Creative freedom	Very high	High
Character control	Moderate	Better
Composition control	Moderate	High
Consistency	Can vary	Usually easier
Best for	New scenes	Controlled scenes
Difficulty	Beginner-friendly	Beginner to intermediate

Neither method is universally better.

Use text-to-video when you want the model to create the entire scene.

Use image-to-video when you already know exactly what the scene should look like.

How to Make AI Videos More Realistic

Realism does not come from simply adding “4K” or “ultra realistic” to every prompt.

Realistic AI video depends on several factors:

Natural movement

Avoid impossible or exaggerated body movements.

Realistic lighting

Specify believable light sources.

Camera behavior

Real cameras have physical movement, depth, focus changes, and limitations.

Environmental interaction

Clothing should react to wind. Water should behave like water. Shadows should respond to light.

Physics

Objects should interact naturally.

Facial expressions

Avoid asking for excessive or unnatural expressions unless the scene requires them.

Specific details

Describe meaningful visual details rather than filling the prompt with generic quality terms.

How to Control Camera Movement in AI Video

Camera movement can completely change the feeling of a scene.

Common camera movements include:

Camera movement	Best use
Slow push-in	Emotional moments
Pull-back	Revealing a larger environment
Tracking shot	Following a character
Pan	Showing a wider environment
Tilt	Revealing height
Orbit	Product or character showcase
Handheld	Documentary realism
Static shot	Dialogue or controlled composition
Crane movement	Cinematic establishing shots

If your AI generator supports dedicated motion controls, use them instead of relying entirely on vague language.

For example, Kling AI’s Motion Control is designed for more controlled animation and movement workflows.

You can also explore the Kling AI Motion Control guide for a deeper workflow.

How to Make AI Videos With Multiple Scenes

Longer AI videos should rarely be generated as one enormous prompt.

Instead, divide the project into individual shots.

For example:

Scene 1

Establish the location.

Scene 2

Introduce the character.

Scene 3

Show the character performing an action.

Scene 4

Move to a close-up.

Scene 5

Show the result.

Scene 6

Return to the wider environment.

This gives you far greater control over pacing and editing.

Keep these elements consistent

Across every scene, maintain:

• Character description
• Clothing
• Time of day
• Location
• Lighting style
• Color palette
• Camera style
• Visual style

This is especially important for storytelling videos.

For larger projects, a project-based workspace such as Kling Canvas can help organize prompts, assets, storyboards, and multiple creative elements in one place.

How to Add AI Voiceovers to Videos

Once the visuals are ready, you need narration if your video requires it.

A good AI voiceover should match:

• Audience
• Video style
• Age of narrator
• Tone
• Pace
• Emotion

For example:

Educational video: clear, calm, authoritative.

YouTube documentary: conversational and engaging.

Advertisement: energetic and persuasive.

Corporate training: professional and measured.

Do not generate the entire voiceover before checking the final script.

A small script change can affect timing throughout the entire video.

AI Avatars: When Should You Use Them?

Not every AI video needs an avatar.

Use an AI avatar when the presenter is part of the value.

Good examples include:

• Tutorials
• Training videos
• Corporate communication
• Educational content
• Product demonstrations
• Marketing presentations

HeyGen specializes in AI avatars, voice cloning, multilingual video creation, and presenter-led workflows.

You can explore the complete HeyGen Review before choosing it for this type of project.

Try HeyGen:
If your video needs a realistic AI presenter instead of cinematic generated scenes, Try HeyGen and create a test video from the same script.

When Should You Use Synthesia?

Synthesia is another strong option when the goal is presenter-led content rather than cinematic storytelling.

It can be particularly useful for:

• Employee training
• Educational content
• Business presentations
• Internal communications
• Product explainers
• Professional instructional videos

The important distinction is workflow.

If your objective is:

“Create a cinematic scene of a character walking through a futuristic city.”

A generative video platform is more appropriate.

If your objective is:

“Create a professional presenter explaining five steps.”

An avatar-focused platform may be more efficient.

You can explore the Synthesia Review for a deeper look at its capabilities.

Try Synthesia:
For professional presenter-based videos, Try Synthesia and test the same script with an AI presenter.

How to Edit AI-Generated Video

AI generation is not the final step.

Even excellent AI clips usually benefit from editing.

The editing stage should focus on:

• Removing weak generations
• Cutting unnecessary pauses
• Matching clips to narration
• Adjusting timing
• Adding transitions
• Adding music
• Adding sound effects
• Correcting audio levels
• Adding captions
• Improving pacing

Do not keep a bad AI clip simply because it took credits to generate.

The viewer does not care how many credits you spent.

They only see the final video.

AI Video Editors vs AI Video Generators

These terms are often confused.

AI video generator

Primarily creates new video content.

Examples include workflows based on text-to-video and image-to-video generation.

AI video editor

Primarily helps you assemble, modify, enhance, and finish existing footage.

Some platforms combine both functions.

For a broader comparison, see Videmint’s Best AI Video Editors guide.

How to Make AI Videos for YouTube

YouTube videos require more than visual quality.

You also need:

• A strong topic
• Search intent
• A compelling title
• An engaging opening
• Good pacing
• Clear narration
• Useful visuals
• Captions where appropriate
• A strong thumbnail
• A clear reason to continue watching

For faceless channels, the workflow can look like this:

Topic → Research → Script → Voice → Visuals → AI Video → Editing → Thumbnail → Upload

If you are building a faceless channel specifically, continue with the How to Make a Faceless YouTube Channel guide.

How to Make AI Videos for YouTube Shorts

Shorts require a different approach.

You have very little time to establish:

1. What is happening?
2. Why should the viewer care?
3. What makes the video interesting?

A useful structure is:

0–2 seconds

Strong visual hook.

2–5 seconds

Introduce the problem or curiosity.

5–20 seconds

Deliver the main information.

Final seconds

Reveal, payoff, or CTA.

Avoid wasting the first few seconds with long introductions.

Instead of:

“Hi everyone, welcome back to the channel…”

Start with:

“You’re probably using AI video generators wrong.”

Then immediately demonstrate why.

How to Make AI Videos for Free

You can learn how to make AI videos for free, but “free” usually comes with limitations.

Free plans may restrict:

• Credits
• Video duration
• Resolution
• Watermark removal
• Generation speed
• Commercial usage
• Premium models
• Export options

The best approach is not to search for a completely free workflow at any cost.

Instead, use free credits to test your workflow before paying.

A practical free workflow

1. Write the script with an AI writing tool.
2. Generate a small number of reference images.
3. Test several video generations.
4. Compare results.
5. Keep the best workflow.
6. Upgrade only when the project requires more capacity.

This prevents wasting money on subscriptions you do not actually need.

Which AI Video Generator Should You Use?

There is no universal winner.

Your choice should depend on what you are creating.

Goal	Suitable type of tool
Cinematic AI scenes	Kling AI / Runway-style generators
AI avatars	HeyGen / Synthesia
Script-to-video workflow	InVideo-style platforms
Faceless YouTube	Combination of several tools
Product videos	Image + video generation workflow
Training videos	AI avatar platforms
Creative storytelling	Generative video platforms
Professional editing	AI-assisted video editors

For example, Kling AI is especially relevant when you need cinematic generation, image-to-video workflows, and motion control. Runway combines generation with broader creative and editing workflows.

If you want to compare Kling with other platforms, see the Kling AI Alternatives guide.

What Is the Best AI Video Workflow?

For most creators, the best workflow is hybrid rather than fully automated.

For example:

Workflow A — Cinematic YouTube

ChatGPT → Kling AI → AI voice → Video editor → YouTube

Workflow B — Faceless YouTube

Research → Script → InVideo → AI voice → Editing → Thumbnail → YouTube

Workflow C — AI Presenter

Script → HeyGen/Synthesia → Editing → Captions → YouTube

Workflow D — Advanced Production

Script → Storyboard → AI images → Kling/Runway → Voice → Editing → Sound design → Thumbnail

The more control you need, the more manual the workflow becomes.

The more speed you need, the more automation becomes valuable.

Common Mistakes When Making AI Videos

1. Using one huge prompt

More words do not automatically produce better results.

Use structured information that actually affects the shot.

2. Generating everything at once

Long videos are easier to control when divided into scenes.

3. Ignoring character consistency

Create references before generating multiple scenes.

4. Overusing cinematic keywords

Adding “cinematic, 8K, masterpiece, ultra realistic” repeatedly does not fix poor scene direction.

5. Keeping bad generations

Regenerate weak shots instead of forcing them into the final edit.

6. Ignoring audio

Good visuals with poor narration or sound design can still feel amateur.

7. Making every shot move

Not every scene needs dramatic camera movement.

A static shot can sometimes feel more professional.

8. Choosing tools before defining the workflow

The best AI video generator is the one that solves the specific production problem.

How to Make AI Videos More Efficient

The biggest productivity improvement comes from creating reusable systems.

Build templates for:

• Script structure
• Character descriptions
• Prompt structure
• Shot lists
• Voice settings
• Caption styles
• Thumbnail layouts
• Video intros
• Outro sections

For example, create a reusable character profile:

Character: 30-year-old male journalist
Appearance: short dark hair, brown eyes, light beard
Clothing: dark blue jacket, gray shirt
Style: photorealistic cinematic
Lighting: natural soft lighting
Camera: realistic documentary photography

Then reuse the same description throughout the project.

This is much more reliable than trying to reinvent the character every time.

How Much Does It Cost to Make an AI Video?

The answer depends on the workflow.

A simple video may require:

• AI writing
• AI voice
• AI video generation
• Editing

A cinematic project may additionally require:

• Multiple image generations
• Multiple video generations
• Regenerations
• Upscaling
• Music
• Sound effects
• Advanced editing

The hidden cost is often failed generations.

If a platform charges credits per generation, poor prompting can become expensive quickly.

That is why a good workflow should minimize unnecessary generations.

Think in terms of cost per finished minute

Do not only ask:

“How much does this AI tool cost per month?”

Ask:

“How many usable minutes can I realistically produce with that subscription?”

That gives you a much more meaningful comparison.

For pricing-focused research, Videmint’s individual pricing guides can help you compare plans before committing to a subscription.

Can AI Make a Complete Video Automatically?

Yes, some platforms can automate a large portion of the process.

But automation does not mean perfection.

An automated system can potentially handle:

• Script generation
• Scene selection
• Visual generation
• Voiceover
• Music
• Captions
• Basic editing

However, human review is still valuable for:

• Accuracy
• Storytelling
• Pacing
• Visual quality
• Brand consistency
• Factual errors
• Copyright considerations
• Final editing

The best workflow is usually AI-assisted rather than completely hands-off.

Frequently Asked Questions About How to Make AI Videos

How to Make AI Videos for Free?

Start with platforms that provide free credits or limited free plans. Use those credits to test your script, prompts, and visual workflow before paying for larger production capacity.

How do I make AI videos?

Start with an idea, write the script, divide it into scenes, create your visual assets, generate the video clips, add narration and sound, edit everything together, add captions, and export the final video.

How do you make an AI video from text?

Write a detailed scene description and enter it into a text-to-video model. Specify the subject, action, environment, camera movement, lighting, and visual style. Generate several versions and select the strongest result.

How do you make AI videos from images?

First create or upload a reference image, then use an image-to-video model to describe the movement you want. This approach gives you greater control over composition and character appearance.

Can AI create a complete YouTube video?

Yes. Some AI platforms can automate scripting, visuals, narration, and basic editing. However, reviewing and editing the output usually produces a much better final video.

Can I make AI videos without showing my face?

Absolutely. Faceless videos can use AI-generated visuals, screen recordings, stock footage, animations, AI voiceovers, or AI-generated characters instead of a real presenter.

What is the best AI video generator?

There is no single best option for every project. Cinematic generation, AI avatars, script-to-video automation, and professional editing require different capabilities.

How do I make AI videos look realistic?

Use realistic prompts, believable lighting, natural movement, appropriate camera behavior, consistent characters, and physically plausible environments. Good source images can also significantly improve image-to-video results.

How do I keep the same character in every AI video?

Create a detailed character reference and reuse the same reference image and character description across scenes. Avoid changing unnecessary details between generations.

How long should an AI video be?

There is no universal ideal length. The video should be long enough to satisfy the viewer’s intent without adding unnecessary scenes. Shorts may need only seconds, while educational or documentary videos may require much longer runtimes.

Do I need multiple AI video tools?

Not necessarily. A single platform may handle your entire workflow. However, combining specialized tools can provide better results when one platform is particularly strong at a specific task.

How to Make AI Videos: The Best Beginner Workflow

If everything above feels overwhelming, start with this simple workflow:

Step 1

Choose one clear video idea.

Step 2

Write a short script.

Step 3

Divide the script into scenes.

Step 4

Create one reference image for important characters.

Step 5

Generate your scenes using text-to-video or image-to-video.

Step 6

Create the voiceover.

Step 7

Put the clips and narration together.

Step 8

Add music and sound effects.

Step 9

Add captions.

Step 10

Create the thumbnail.

Step 11

Watch the complete video before publishing.

Step 12

Remove anything boring, repetitive, confusing, or visually weak.

That final step is often what separates an AI-generated video from a good video made with AI.

Final Verdict

Learning how to make AI videos is no longer about finding one magical AI generator.

The real advantage comes from understanding the complete production workflow.

Start with a strong idea. Write the script before generating visuals. Break the story into manageable scenes. Use reference images when consistency matters. Write prompts that describe the subject, action, environment, camera, lighting, and movement. Choose text-to-video when you want the model to create the scene and image-to-video when you need greater visual control.

Then add the human elements that make the result feel intentional: narration, pacing, editing, sound design, captions, and a strong thumbnail.

For cinematic projects, tools such as Kling AI and Runway can provide powerful generative workflows. For AI presenters, HeyGen and Synthesia are strong options. For automated script-to-video production, InVideo can simplify the process.

The most effective approach is not necessarily to choose one platform and use it for everything. How to Make AI Videos becomes much easier when you build a repeatable workflow and use each tool where it provides the most value.

Start small.

Create one short video.

Learn which parts of the process take the most time.

Improve the workflow.

Then scale.

That is how AI video creation becomes a repeatable production system rather than a collection of random generations.

Ready to start creating? Choose the workflow that matches your goal, test the tools before committing to a subscription, and build your first complete AI video from idea to final export.

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Continue Learning

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• Kling AI Canvas Review — Learn how to organize multi-scene AI video projects.
• Kling AI Alternatives — Compare Kling AI with other AI video generators.
• Runway AI Review — Explore Runway’s generation, editing, and creative workflow.
• HeyGen Review — Learn more about AI avatars, voice cloning, and presenter-based video creation.
• InVideo AI Review — Explore an automated approach to script-to-video production.
• Synthesia Review — Explore AI presenter and business video workflows.
• Best AI Video Editors — Compare AI-assisted editing platforms for finishing generated videos.
• How to Make a Faceless YouTube Channel — Build a complete faceless YouTube workflow around AI video creation.
• How to Write AI Video Prompts That Actually Work — Learn proven techniques, examples, and templates for creating clearer, more effective AI video prompts.
• How to Create Consistent Characters With AI: AI Video Guide — Learn how to keep AI-generated characters consistent across scenes, shots, and videos.
• How to Make Realistic AI Videos: 7 Proven Tips — Learn simple techniques to create lifelike AI videos with natural motion, lighting, and cinematic results.