AI Video Prompt Guide: Write Better Prompts (2026)

This guide provides a complete, model-tested framework for writing AI video prompts that produce professional results on the first try. It covers a 5-part prompt structure (subject, action, camera, environment, style), model-specific tuning for Kling v3, Veo 3.1, Runway Gen-4, Seedance 2.0, Minimax Hailuo, and Sora 2, the optimal prompt length of 40–120 words, seven common mistakes with fixes, advanced techniques like multi-shot prompting and reference-based workflows, and six ready-to-use templates. All guidance is drawn from official model documentation, verified April 2026.

Our analysis of 10,000+ AI-generated videos across the VidScore benchmark suite shows that 87% of failed outputs could have succeeded with better prompt engineering(methodology: we classified outputs as “failed” when they scored below 4/10 on our automated quality rubric, then had three prompt engineers independently re-prompt the same scene — 87% produced a 7+/10 result). Your prompt is the single biggest factor in output quality — more than which model you pick, more than the resolution you choose, more than how much you spend per second. A well-structured prompt saves 3–5x in generation costs by eliminating failed attempts and reducing the iteration cycle from dozens of tries to 2–3.

We extracted prompt guidance from the official documentation of every major AI video model — Kling v3, Veo 3.1, Runway Gen-4, Seedance 2.0, Sora 2, and Minimax Hailuo — and distilled it into one universal framework that works across all of them. This guide covers the framework, real examples, model-specific differences, common mistakes, advanced techniques, and ready-to-use templates.

Last updated: April 2026. Model prompt guides verified: April 2026.

The 5-Part Prompt Framework

Every effective AI video prompt contains five elements. Think of your prompt as briefing a cinematographer who has never seen your project — they need to know what to film, how to film it, and what it should feel like. This framework works across Kling v3, Veo 3.1, Runway Gen-4, Seedance 2.0, and every other model on the VidScore leaderboard.

1. Subject

Who or what is the focus of the video? Describe the subject with enough detail that there is no ambiguity. Include appearance, clothing, distinguishing features, and emotional state.

• Weak: “A woman”
• Strong: “A young woman in a vintage red dress, dark hair pinned up, confident expression”

For multi-character scenes, anchor each character with a consistent label at the start of the prompt. According to Kling v3’s official prompt guide, structured naming like [Character A: Black-suited Agent] maintains identity across multi-shot sequences.

2. Action

What is the subject doing? This is the core of your prompt and what makes it a video prompt rather than an image prompt. Use strong, specific action verbs that describe motion over time.

• Weak: “The car drives fast”
• Strong: “The sports car aggressively accelerates, careening around the corner, tires screeching on wet asphalt”

According to Minimax Hailuo’s official prompt guide, strong action verbs produce “far better motion” than generic descriptions. Describe how things move, not just that they move.

3. Camera

How should the shot be framed and how should the camera move? This is the single biggest differentiator between amateur and professional-looking output. According to Seedance 2.0’s official prompt guide, separating camera movement from subject movement is “the most common mistake” users make.

• Weak: “Camera moves closer”
• Strong: “Slow dolly-in from medium shot to close-up, shallow depth of field, camera at eye level”

Use standard cinematographic vocabulary — dolly, pan, tracking shot, crane, rack focus, POV, Dutch angle, bird’s eye — because every major model has been trained on these terms. Runway Gen-4 is the exception: it uses a dedicated camera control panel for path, zoom, rotation, and intensity rather than relying on text-based camera descriptions.

4. Environment

Where does the action take place? Include location, time of day, weather, and atmospheric details. Multiple model guides emphasize that lighting descriptions have the single biggest impact on output quality.

• Weak: “Outdoors”
• Strong: “A rain-soaked Tokyo street at midnight, neon signs reflecting on wet asphalt, steam rising from a manhole”

Seedance 2.0’sguide calls lighting descriptions “the biggest single impact on quality — if you can only add one element to improve output, add a lighting description.” Terms like golden hour backlighting, overcast diffused light, warm tungsten, and neon glow all produce dramatically different results.

5. Style

What is the overall aesthetic, mood, and technical look? This includes visual style, color palette, genre references, and audio direction for models that support it.

• Weak: “Cinematic”
• Strong: “Cinematic color grading with warm amber tones, shallow depth of field, film grain, Wes Anderson symmetry”

For models with native audio (Kling v3, Veo 3.1, Seedance 2.0, Sora 2), include audio direction as part of your style description: ambient sounds, music style, dialogue, and sound effects.

Putting It Together

Here is the full formula: Subject + Action + Camera + Environment + Style. In practice, these elements blend into natural sentences rather than rigid sections:

“Medium shot of a young chef in a bustling restaurant kitchen [subject]. She wipes her brow, then turns to the camera [action]. Handheld camera, slight sway [camera]. Warm tungsten lighting, steam rising from pots [environment]. Cinematic color grading, ambient clatter of pans and sizzling [style].”

Example adapted from the Veo 3.1 official prompt guide.

Good vs. Bad Prompt Examples

The difference between a prompt that wastes your money and one that nails it on the first try comes down to specificity. Here are real examples drawn from official model documentation, showing the exact same concept prompted two different ways.

Example 1: Product Shot

The bad prompt has no camera direction, no lighting, no motion, and no style. The model will pick defaults for everything — and those defaults rarely match what you want. The good prompt (from the Kling v3 guide) specifies framing, depth of field, audio, and lighting in 40 words.

Example 2: Cinematic Scene

The good prompt (from the Sora 2 guide) has all five framework elements: subject (woman in trench coat), action (walks, pauses, glances), camera (medium close-up, holds), environment (Tokyo, midnight, rain, neon), and style (ambient audio cues).

Example 3: Nature / Landscape

The good prompt (from the Kling v3 guide) adds camera movement (aerial, descending, tracking forward), temporal progression (mist parts, light breaks through), and audio (birds, water). The bad prompt would produce a static, lifeless shot.

Model-Specific Prompt Differences

The 5-part framework is universal, but each model has unique strengths and quirks. Here is what to adjust when switching between models. For help picking the right model for your use case, see our guide to choosing an AI video model. For full pricing and feature comparisons, see the VidScore leaderboard.

Kling v3: Think in Shots

Kling v3is the only major model with native multi-shot generation (up to 6 shots per output, 3–15 seconds total). Structure your prompt as a sequence of labeled shots with framing, subject, and motion for each:

“A dimly lit jazz club. [Shot 1] Wide shot: A female singer in a red dress steps up to the microphone, spotlight slowly brightening. [Shot 2] Close-up: Her face, eyes closed, begins singing. [Singer, warm smoky voice]: ‘The night is young, and so are we.’ Soft piano accompaniment fills the room.”

Use consistent character labels across shots to maintain identity. Include tone labels for voice control: [Agent, raspy deep voice]. See the full Kling v3 prompt guide for more examples.

Veo 3.1: Lean Into Audio

Veo 3.1has the best lip-sync in the market. It responds strongly to audio cues in prompts — dialogue in quotation marks, explicit sound effects, and ambient sound descriptions:

“Close-up of an old man’s weathered hands turning the pages of a leather-bound book in a candlelit study. His voice narrates softly: ‘It began with a letter.’ Pages rustle, candle flame flickers. Warm amber tones, shallow depth of field, static camera.”

Keep dialogue short enough that it can be spoken naturally within the 8-second clip duration. Too much dialogue causes characters to speak unnaturally fast.

Runway Gen-4: Use the Controls, Simplify the Text

Runway Gen-4 is unique because camera direction comes from its dedicated camera control panel (path, zoom, rotation, intensity), not from text prompts. Keep your text prompt focused on subject and action, and use the visual tools for everything else:

“The subject slowly turns toward the camera, sunlight catching the edges of her hair. A gentle breeze moves the grass in the background.”

For image-to-video, use general terms like “the subject” rather than re-describing the character — the model should focus on motion, not reinterpreting the reference image. Avoid negative prompts entirely; according to Runway’s official Gen-4 prompt guide, they produce the opposite effect.

Seedance 2.0: Director Mode with References

Seedance 2.0 accepts up to 9 reference images, 3 reference videos, and 3 audio files simultaneously. Write prompts like a film director giving instructions, and let reference materials carry the visual specifics:

“[Shot 1] Wide establishing shot: A dimly lit underground boxing gym, heavy bags swaying. [Shot 2] Medium shot: A boxer wraps her hands methodically, breathing visible in the cold air. [Shot 3] Close-up: Her eyes, intense focus, before she throws the first punch. Deep bass soundtrack, rhythmic and building tension.”

For audio-synchronized video, upload a music track — Seedance 2.0 will match cuts and motion to the beat automatically.

Common Mistakes (and How to Fix Them)

These are the prompt errors we see most often, drawn from official model documentation and community feedback. Each one is fixable in under 30 seconds.

1. Vague, Static Descriptions

The most common mistake. Prompts that describe a scene without any motion, camera direction, or temporal progression produce flat, lifeless video that looks like a slideshow.

• Problem: “A beautiful sunset over the ocean”
• Fix: “Aerial drone shot tracking forward over a calm ocean at sunset. Golden light reflects on gentle waves as the camera slowly descends toward the water. Seagulls glide across the frame. Warm amber color grading.”

2. Keyword Lists Instead of Sentences

Midjourney-style comma-separated keyword prompts work for image generation but produce flat, generic video output. Minimax Hailuo’sdocumentation explicitly warns that “comma-separated keyword prompts produce flat, generic results — always write in narrative sentences.”

• Problem: “cyberpunk, samurai, rain, neon, tracking shot, cinematic, 4K”
• Fix: “A cyberpunk samurai sprints through a rainy Neo-Tokyo market, knocking over stalls as neon lights reflect off the wet pavement. Camera tracks behind at waist height, shallow depth of field.”

3. Mixing Camera and Subject Movement

Seedance 2.0’sguide identifies this as “the most common mistake”: describing camera movement and subject movement as one combined action. This produces shaky, uncontrollable output.

• Problem: “Everything moves quickly through the scene”
• Fix: Describe them separately: “The boxer throws a right hook [subject movement]. Camera holds steady in a medium close-up [camera movement].”

4. Too Much Action in One Shot

Every model struggles when you pack multiple scene changes, camera movements, and subject actions into a single generation. Sora 2’s guide recommends “one camera movement and one subject action per shot.”

• Problem: “She walks in, sits down, opens a laptop, starts typing, then gets a phone call and stands up to leave”
• Fix: Break it into separate generations or use a multi-shot model like Kling v3 with labeled shots.

5. Contradictory Instructions

Prompting for “fast-paced action with a slow, contemplative mood” or “bright sunny day with dramatic moody shadows” forces the model to choose one interpretation, often producing confused output.

• Problem: “Fast camera movement + fast cuts + busy scene”
• Fix: Pick a dominant mood. Seedance 2.0 specifically warns: “Avoid the keyword ‘Fast’ — combining fast camera movement + fast cuts + busy scenes almost guarantees jitter and artifacts.”

6. Overloading Dialogue

For models with native audio ( Veo 3.1, Kling v3, Seedance 2.0, Sora 2), packing too much dialogue into a short clip forces characters to speak unnaturally fast. Veo 3.1’sguide recommends keeping dialogue “short — something that can be said in about 8 seconds.”

• Problem: A 5-second clip with a 30-word monologue
• Fix: Limit dialogue to 1–2 short sentences per clip. Use narration or ambient sound to carry the rest.

7. Ignoring Audio Direction

Many users write detailed visual prompts but skip audio entirely. For models that generate audio, this produces generic background noise or silence instead of purposeful sound design.

• Problem: No audio cues in the prompt
• Fix: Add explicit audio: “Sound of rain pattering on leaves, distant thunder, soft piano underscore”

Advanced Techniques

Once you have the 5-part framework down, these techniques push your output from good to professional-grade.

Camera Movement Vocabulary

Every major model recognizes standard cinematographic terms. Using the right term produces dramatically different results:

Temporal Descriptions

Video is fundamentally about change over time. The best prompts describe a clear progression from beginning to end, even in short clips:

• “The mist parts as golden light breaks through” — describes a transformation
• “She pauses, glances over her shoulder, then continues walking” — three beats of action
• “Spotlight slowly brightening” — gradual change that creates narrative arc

According to Veo 3.1’s official prompt guide, composers should write “a full narrative with a clear beginning, middle, and end — even simple objects become compelling when given purpose and progression.”

Multi-Shot Prompting

For models that support multi-shot generation ( Kling v3, Seedance 2.0), structure your prompt as a shot list with progressive tightening:

1. Wide establishing shot — set the scene and environment
2. Medium shot — introduce the subject and action
3. Close-up — emotional detail, the key moment

This wide-medium-close pattern mimics professional film editing and produces the most natural-looking multi-shot sequences.

Iterative Refinement Workflow

Professional creators do not write one prompt and expect perfection. Use a phased workflow to minimize cost:

1. Explore — Generate 3–5 variants at the lowest cost tier (e.g., Runway Gen-4 Turbo at $0.05/sec or Veo 3.1 Fast at $0.10/sec)
2. Refine — Keep what works, adjust one variable at a time (camera, lighting, timing)
3. Finalize — Re-generate the winning prompt at full quality and resolution

Sora 2’sguide confirms this approach: “two 4-second clips stitched together often produce better results than a single 8-second generation.” Use the VidScore cost calculator to estimate costs for your specific workflow, or see our AI video pricing guide for a full cost breakdown across all providers.

Reference-Based Prompting

For models that accept reference inputs, let reference materials carry visual specifics while your text prompt focuses on motion and narrative:

• Seedance 2.0 — Up to 9 reference images for composition/lighting, 3 reference videos for camera motion, 3 audio files for rhythm
• Runway Gen-4 — Upload a character reference once and reuse across generations for consistent appearance
• Kling v3 — For image-to-video, focus the prompt on how the scene evolves FROM the image, not describing what is already visible

Prompt Templates

Copy and customize these templates for common scenarios. Each follows the 5-part framework and works across all major models. Adjust the camera and audio sections based on your model’s capabilities.

Template 1: Product / Commercial Shot

Close-up of [PRODUCT] on [SURFACE]. [ACTION: e.g., steam rising, liquid pouring, hand reaching in]. Camera: [MOVEMENT: static/slow dolly-in/overhead], shallow depth of field, [LENS: macro/50mm]. [LIGHTING: warm desk lamp/soft diffused/dramatic side light]. [AUDIO: ambient sound of the environment, subtle foley]. [STYLE: clean modern aesthetic/vintage warmth/high-end commercial].

Best models: Runway Gen-4 ($0.05/sec Turbo), Kling v3 ($0.112/sec)

Template 2: Talking Head / Dialogue Scene

Medium shot of [CHARACTER DESCRIPTION] in [LOCATION]. [Character] turns to the camera and says: “[DIALOGUE — keep under 15 words].” [EMOTION/DELIVERY: confident, hesitant, excited]. Camera: [static/slight handheld sway], eye level. [LIGHTING: warm tungsten/natural window light/studio softbox]. Ambient [BACKGROUND SOUNDS].

Best models: Veo 3.1 (best lip-sync, $0.40/sec Standard), Kling v3 (voice control, $0.196/sec)

Template 3: Nature / Landscape

[AERIAL/WIDE] shot of [LANDSCAPE] at [TIME OF DAY]. Camera [MOVEMENT: slowly descending/tracking forward/panning right], revealing [REVEAL ELEMENT]. [WEATHER: mist, clear, overcast]. [LIGHT: golden hour backlighting/blue hour cool tones/harsh midday sun]. [AUDIO: birdsong, water, wind, silence]. [COLOR: warm amber/cool blue/ desaturated].

Best models: Kling v3 (4K, 15s, $0.112/sec), Veo 3.1 (4K, $0.10/sec Fast)

Template 4: Action / Sports

[SHOT TYPE: tracking/POV/Dutch angle] of [SUBJECT] [INTENSE ACTION VERB: sprints, leaps, collides, accelerates]. Camera [MOVEMENT: tracks alongside at matching speed/holds steady as subject passes]. [ENVIRONMENT: stadium, street, gym]. [LIGHTING: dramatic side light/overhead fluorescent/golden hour]. [PHYSICS: sweat droplets, dust particles, cloth rippling]. [STYLE: slow motion/real-time/ hyper-real].

Best models: Seedance 2.0 (physics, multi-shot, $0.303/sec), Runway Gen-4 (Motion Brush, $0.05/sec Turbo)

Template 5: Music Video / Beat-Synced

[SHOT 1] [WIDE/MEDIUM/CLOSE] of [PERFORMER/SUBJECT] in [SETTING]. [ACTION synchronized to beat]. [SHOT 2] Cut to [CONTRASTING ANGLE/LOCATION]. [ACTION]. [SHOT 3] [CLIMACTIC MOMENT]. Camera: [MOVEMENT matching energy of music — slow for verse, dynamic for chorus]. [LIGHTING: strobes, neon, colored gels, concert lighting]. [AUDIO: upload reference track for beat sync, or describe tempo and genre].

Best models: Seedance 2.0 (audio reference input, beat sync, $0.303/sec), Kling v3 (multi-shot, native audio, $0.168/sec)

Template 6: Documentary / Interview Style

[CLOSE-UP/MEDIUM] of [SUBJECT DESCRIPTION: weathered hands, focused eyes, expressive face]. [SUBTLE ACTION: turns pages, shapes clay, adjusts instrument]. Camera: static, [DEPTH: shallow/deep] depth of field. [NATURAL LIGHTING: afternoon window light, overcast diffused, candlelight]. [AUDIO: ambient room tone, quiet background activity, narration]. [MOOD: intimate, contemplative, warm].

Best models: Veo 3.1 (narration + lip-sync, $0.10/sec Fast), Minimax Hailuo (budget option, $0.045/sec)

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