Writing prompts for AI video generation is fundamentally different from prompting for images. A video prompt must describe not just what appears in the frame, but how the scene evolves over time, how the camera moves, how lighting shifts, and how elements interact across multiple seconds. Most people write prompts that are too short or too static, resulting in videos that feel flat or disconnected. This guide teaches you the specific language and structure that produces cinematic, coherent AI video output.
The Core Difference Between Image and Video Prompts
An image prompt captures a single moment. A video prompt captures a sequence of moments with a beginning, middle, and end. The most common mistake beginners make is treating video prompts like image prompts by just adding "in motion" at the end. That approach rarely works well because the AI has no guidance on how the motion should unfold.
Effective video prompts include three layers of information: the scene setup (what is in the frame at the start), the action (what happens during the video), and the camera work (how the viewer sees it). Each layer requires specific vocabulary and structure.
The Three-Part Prompt Structure
Every strong video prompt follows this structure. Master it and your results will improve dramatically.
Part 1: Scene Foundation
Describe the environment, subjects, lighting, and mood as you would for an image. This grounds the AI in a consistent visual world. Be specific about colors, textures, and spatial relationships. Instead of "a kitchen," write "a bright Scandinavian-style kitchen with white cabinetry, a marble island, fresh herbs on the windowsill, and warm afternoon sunlight streaming through a large window."
Part 2: Temporal Action
Describe what happens and in what order. Use sequence words: "first," "then," "gradually," "as," "while." Specify the timing of actions. Instead of "pouring coffee," write "a person slowly pours steaming coffee from a glass carafe into a white ceramic mug, the dark liquid swirling as the cup fills, then sets the carafe down."
Part 3: Camera Direction
Tell the AI how to shoot the scene. This is the layer people most often skip, and it is the one that separates amateur-looking videos from professional ones. Camera direction vocabulary includes motion types, angles, focal lengths, and framing.
Essential Camera Direction Vocabulary
Use these terms in your prompts to control the visual feel of your video. The AI interprets them as cinematic directions, not literal camera instructions.
- Slow push-in: The camera slowly moves toward the subject. Creates intimacy and focus. Good for revealing details.
- Pull back: The camera moves away from the subject. Reveals context and environment. Ideal for establishing shots.
- Tracking shot: The camera moves parallel to a moving subject. Creates a sense of journey or progression.
- Orbit: The camera circles around the subject. Showcases a product or character from all angles.
- Rack focus: The focus shifts from one subject to another in the background or foreground. Directs attention.
- Dutch angle: A tilted camera angle. Creates tension or unease. Use sparingly.
- Low angle looking up: Makes subjects appear powerful or imposing.
- High angle looking down: Makes subjects appear vulnerable or small.
- Handheld: Slight natural shakiness. Adds documentary realism or energy.
- Steadicam: Smooth, floating movement. Feels polished and professional.
- Whip pan: Fast horizontal rotation. Creates energy between scenes or reveals a surprise.
Lighting Vocabulary for Mood Control
Lighting direction and quality dramatically affect how a video feels. Include lighting terms in your scene foundation.
- Golden hour: Warm, low-angle sunlight. Flattering for portraits and landscapes.
- Hard lighting: Strong shadows with sharp edges. Dramatic and high-contrast.
- Soft diffused lighting: Gentle shadows, even illumination. Flattering for products and people.
- Backlighting: Light source behind the subject. Creates silhouettes or rim light effects.
- Practical lights: Visible light sources within the scene like lamps, candles, or neon signs. Adds realism and atmosphere.
- Volumetric lighting: Visible light beams through fog, dust, or smoke. Creates cinematic depth.
Example Prompt Transformations
Let us look at how a weak prompt becomes a strong one using these techniques.
Weak prompt: "A woman walking down a street in the rain."
This produces a generic video with no clear visual direction. The result will be mediocre at best.
Strong prompt: "Slow push-in on a woman in her 30s wearing a camel coat, walking along a cobblestone street in Paris at dusk. Soft rain falls, reflecting neon shop lights on the wet pavement. She pauses, looks up at a glowing bistro sign, and smiles slightly. Handheld camera style, volumetric lighting from street lamps, shallow depth of field with bokeh in the background. Cinematic color grading with teal shadows and warm highlights."
The strong prompt gives the AI a complete visual blueprint. Every element contributes to a specific mood and cinematic style.
Controlling Motion Quality
One of the hardest things to get right in AI video is natural motion. Artifacts like warping, flickering, or subjects that morph into something else are common. These techniques help produce smoother results.
- Limit motion scope: Describe motion that is contained within a reasonable area. Wild, rapid movement across the entire frame is harder for AI to render cleanly.
- Use "slow" and "gentle": Adding "slow" or "gentle" before motion words reduces artifacts. "A gentle breeze moves the curtains" will look better than "wind blasts through the window."
- Anchor the background: Describe the background as stable. "Static background with a single subject moving" helps the AI keep the environment consistent while only changing the subject.
- Avoid extreme close-ups on faces: AI models still struggle with consistent facial features across frames. Medium and wide shots produce more reliable results.
- Keep scenes short: For complex scenes, generate 5-8 second clips rather than longer ones. Short clips have fewer cumulative artifacts.
Advanced Techniques for Specific Results
Creating Product Rotation Videos
Prompt template: "Orbit shot of [product] on a [surface]. Slow 360-degree rotation, [lighting type], shallow depth of field, product photography style. The surface is [material] with [color] reflections."
Generating Cinematic Landscapes
Prompt template: "Slow pull-back reveal of [landscape]. Golden hour lighting, volumetric haze, cinematic wide shot, anamorphic lens flare, rich colors, [time of day] atmosphere. Foreground elements include [details], background has [details]."
Creating Before-and-After Transitions
Prompt template: "Split screen or wipe transition. Left side shows [before state], right side shows [after state]. The camera slowly pans from left to right. Clean, professional presentation style."
Testing and Iterating
No prompt is perfect on the first try. Build a testing workflow. Start with the scene foundation and generate a few frames or a short preview. Adjust the description until the visual matches what you imagined. Then add the action layer and test again. Finally, add camera direction. Each iteration gives you more control. Keep a prompt library of your best working prompts organized by category product shots, cinematic scenes, explainers, etc. Over time, you will develop an intuition for what language produces which results.
Prompt engineering for AI video is a skill like any other. The more you practice with structured vocabulary and deliberate testing, the better your outputs become. Start with the three-part structure, build your camera vocabulary, and iterate until every video you generate looks intentional.