UFOZoo

AI Video Prompt Generator — Free Kling, Veo, Runway

Generate professional AI video prompts for Kling, Veo, Runway, Luma, and Pika. Features cinematic camera language, lighting, audio, and platform optimization.

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?

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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?

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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?

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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?

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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?

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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.

How do I maintain character consistency across multiple shots?

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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?

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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.

How do I avoid common AI video artifacts?

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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?

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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.

How do I create a video with specific audio requirements?

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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?

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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?

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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.

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