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The Kling AI Prompting Formula

What actually works, distilled from hundreds of community generations.

Updated March 2026 Β· Community-verified, Reddit r/KlingAI, r/aivideo, Discord communities, fal.ai prompting guide, veed.io

++Emphasis++ Syntax

Wrap any word or phrase in double-plus marks to tell Kling to prioritize it. Undocumented in official docs but community-proven across thousands of generations.

++Sleek red convertible++ drives along coastal highway, camera tracks alongside, vibrant color grading, shallow depth of field.

Generate video from a text prompt. The 4-part formula at 30–60 words consistently outperforms longer or vaguer prompts.

🟒 High confidence

The 4-Part Kling T2V Formula

Kling responds to concise, sensory-specific language structured in four layers. The sweet spot is 30–60 words. Under 30 is too vague. Over 100 and the model struggles to prioritize.

01
Subject
Sleek red convertible with chrome accents

πŸ’‘ Specify materials, marble, raw concrete, brushed steel all carry implicit lighting and texture info the model uses.

02
Action
drives along coastal highway at moderate speed

πŸ’‘ Use precise motion verbs, not "moves quickly" but "accelerates sharply, tires grip wet asphalt".

03
Scene
golden hour cliffs, ocean spray catching the light

πŸ’‘ 3–5 scene elements max for standard tiers, up to 7 for Kling's Pro models.

04
Style
camera tracks alongside then pulls back, vibrant color grading, shallow depth of field

πŸ’‘ Camera movement is the biggest single lever, always specify position + movement + framing explicitly.

Example prompt

Sleek red convertible drives along coastal highway at moderate speed, camera tracks alongside then pulls back to reveal expansive coastline, vibrant color grading, shallow depth of field.

What works

  • Material descriptions carry implicit lighting, "white quartz countertop with subtle veining" beats "kitchen counter"
  • ++double-plus emphasis++ syntax on key subjects increases model focus
  • Explicit camera phrasing: position + movement + framing (e.g. "low-angle tracking shot forward")
  • Chaining: use the final frame of one clip as the start image for the next to extend sequences
  • For glass and liquids: state where the light source is and what it's hitting

What fails

  • Vague prompts with no subject or action
  • Prompts over 100 words, processing distorts or loses focus
  • "Cinematic movement" is too vague, be literal: "slow push in", "orbit right to left"
  • Real people or text overlays

Pro tips

  • Negative prompt: "No text overlays, no distortion, no blur, no static shots"
  • For product ads: environment β†’ lighting β†’ camera movement β†’ product behavior is the proven order
  • Condensation on glass, steam rising, fabric in breeze, micro-moments make shots feel alive

Example output

Generated on ApeFX
"Sleek red convertible drives along coastal highway at moderate speed, camera tracks alongside then pulls back to reveal expansive coastline, vibrant color grading, shallow depth of field."

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