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AI Video Prompt Generator: Prompt Builder for Text-to-Video

AI video prompt generator online: create professional prompts for popular text-to-video models with scene, camera, and lighting controls.

Updated 2026-08-16

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Features

  • Platform-specific optimization for Kling 3.0, Google Veo 3.1, Runway Gen-4.5, Luma Ray 3, Pika 2.5, Seedance 2.0
  • 4-layer prompt structure: Subject/Action → Camera Behavior → Lighting/Atmosphere → Technical Specs
  • Cinematic camera language with 13 professional movements (dolly, tracking, rack focus, steadicam, etc.)
  • Professional lighting design with 13 styles (volumetric, three-point, practical, mixed temperature, etc.)
  • Film stock references (Kodak Vision3 500T, Fujifilm Eterna, RED Monstro) and director styles
  • Temporal timeline control (beginning → middle → end) for coherent motion and narrative
  • Platform-specific adaptation: Kling storyboard script, Veo cinematic language, Runway precise motion descriptors
  • Negative prompt engineering to exclude AI artifacts (distortion, flickering, morphing)
  • Multi-language support with English and Chinese prompt generation
  • Template-based generation for narrative, commercial, action, and emotional scenes

How to Use

  1. 1Select your target platform based on your needs: Kling 3.0 for 4K cinematic, Veo 3.1 for audio-visual sync, Runway Gen-4.5 for production control
  2. 2Choose a prompt template: narrative for stories, commercial for products, action for dynamic scenes, emotional for close-ups
  3. 3Describe your scene with physical details: subject appearance, action, environment, time of day
  4. 4Add temporal timeline (beginning → middle → end) for coherent motion and narrative evolution
  5. 5Select camera movement and shot type from 13 professional cinematography options
  6. 6Choose lighting style and atmosphere to enhance mood and visual impact
  7. 7Optionally select art style (film stock, director reference) for specific aesthetic
  8. 8Click generate to get a professionally structured prompt optimized for your platform
  9. 9Copy the prompt to your AI video platform and generate your video
  10. 10Iterate and refine based on results, adjusting camera, lighting, or timeline as needed

Frequently Asked Questions

What is the 4-layer prompt structure and why does it matter?

The 4-layer structure is the professional standard for AI video prompting: Layer 1 (Subject/Action) defines what happens, Layer 2 (Camera Behavior) controls how it's filmed, Layer 3 (Lighting/Atmosphere) sets the mood, Layer 4 (Technical Specs) applies the style. Each layer reduces the model's decision space, leading to more predictable, higher-quality output. Missing any layer degrades results noticeably.

How do different platforms differ in prompt requirements?

Kling 3.0 excels at storyboard scripts with Chinese support, supporting 180s multi-shot. Veo 3.1 requires cinematic language with temporal structure for audio-visual sync. Runway Gen-4.5 needs precise motion descriptors (2-3 rule) for production-grade control. Luma Ray 3 uses camera choreography for fast iteration. Pika 2.5 favors command-style for rapid prototyping. Seedance 2.0 handles multilingual lip-sync.

What is the 2-3 rule for motion descriptors?

The 2-3 rule is critical for Runway and similar platforms: use only 2-3 precise technical motion descriptors per prompt (e.g., 'slow dolly in, tilt up'). Complex instructions like 'camera moves around while zooming in' confuse the model's temporal layers, causing fragmented motion. Technical exactness allows the engine to prioritize physics over interpretation.

How to achieve temporal coherence across shots?

Use temporal timeline control (beginning → middle → end) to describe action evolution. For multi-shot sequences, use Image-to-Video (I2V) foundation with consistent reference images to lock lighting and character features. Plan 3-5 variations per shot due to stochastic nature of diffusion models. Maintain consistent lighting conditions across reference images to prevent temporal flickering.

What lighting terms produce the strongest results?

Key light direction ('hard key light from upper left at 45°'), practical lights ('warm tungsten lamp on desk'), color temperature ('5600K daylight vs 3200K tungsten'), volumetric elements ('thin haze catching backlight'), and time of day ('civil twilight' not just 'sunset'). Lighting is the most underused lever in video prompting.

Why does my character's face keep changing between shots?

Use consistent physical descriptions in every prompt (same hair color, clothing, build). Use the character consistency features when available: lock character appearance with facial features and clothing descriptions. For multi-shot sequences, use Image-to-Video with a consistent reference image. Keep lighting conditions similar across shots to prevent visual inconsistency.

What is the best prompt structure for a 60-second commercial?

Structure: Establish setting (5s wide shot) → Product introduction (15s mid shot with dolly) → Feature highlights (25s close-ups with rack focus) → Lifestyle usage (10s tracking shot) → Call to action (5s tight close-up). Each segment needs its own 4-layer prompt. Maintain consistent lighting and color grading throughout. Use temporal transitions between segments for smooth flow.

Why does my AI video still contain artifacts after using a negative prompt?

Common artifacts: morphing (objects changing shape), flickering (inconsistent lighting between frames), texture crawling (surface details shifting), and limb disconnection. Counter-strategies: specify 'stable, consistent textures' in negative prompts, use lower motion settings, maintain consistent camera distance, and add 'no morphing, no flickering, smooth motion' to negative prompt space.

What resolution and aspect ratio should I use for different platforms?

Kling 3.0 supports 4K (3840×2160), 16:9 for YouTube, 9:16 for TikTok/Reels. Veo 3.1 outputs 1080p, 16:9 recommended. Runway Gen-4.5 supports up to 1080p, various aspect ratios. For social media: TikTok/Reels/Shorts use 9:16 (1080×1920). YouTube uses 16:9 (1920×1080). Cinematic uses 2.39:1 or 1.85:1. Check each platform's specs before generating.

Why is my video's audio out of sync with the visuals?

For platforms with audio generation (Veo 3.1, Kling 3.0): specify audio type (dialogue, music, SFX, ambient), style (intense, soft, tense, dramatic), and tempo (fast, normal, slow). For dialogue generation, include speaker descriptions and line content in the prompt. Veo 3.1 supports auto audio-visual sync; use temporal structure for lip-sync accuracy.

What are the key differences between AI video platforms in 2026?

Kling 3.0 leads in 4K quality and native Chinese support with 180s multi-shot. Veo 3.1 excels at audio-visual sync and dialogue generation with Google ecosystem integration. Runway Gen-4.5 offers the most production control with motion brush and multi-model support. Luma Ray 3 enables fastest iteration with keyframe control. Pika 2.5 specializes in viral social media content with templates. Seedance 2.0 handles multilingual lip-sync uniquely well.

How do I price and scope an AI video production project?

Cost factors: platform API costs (Kling ~$0.50/4K video, Runway ~$0.10/s), resolution (4K costs more than 1080p), duration (longer = more tokens), iterations (plan 3-5 per shot), and post-production (editing, color grading). A typical 30s commercial shot: $5-15 in API costs + 2-4 hours editing. Always build iteration costs into your project budget.

Why can't I control every frame like with image generation?

Video generation is probabilistic: the model produces a plausible sequence from your prompt, and it has no concept of a specific frame you want. Prompts control style, motion, composition, and consistency at a coarse level; the 4-layer structure and character-consistency techniques in this tool push results in the right direction, but you cannot pin an exact frame. For frame-level control you need keyframe tools, image-to-video with a reference frame, or frame interpolation workflows. This is a fundamental limit of current text-to-video models, not of the prompt tool.

Why shouldn't I just ask ChatGPT to write my video prompt?

You can, but a general chatbot does not know each platform's prompt conventions: the 2-3 rule for Runway, Kling's storyboard format, Veo's temporal structure, or the negative-prompt terms that suppress morphing and flickering. This AI video prompt generator bakes those conventions in and structures the output into the 4-layer format (subject/action, camera behavior, lighting/atmosphere, technical specs). With ChatGPT you would have to restate the platform and style details and iterate on every generation; the generator does that in one click and formats the result for copy-paste.