Kling 3.0 Standard Text-to-Video

Stunning 1080p cinematic videos from simple text prompts.

~175.88s
$0.504 - $8.40 per generation

Inputs

Describe the video content. Be detailed about actions, camera movements, lighting.

Length of the output video in seconds.

Aspect ratio of the generated video.

Generate synchronized audio. Supports Chinese and English.

Examples

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Kling 3.0: Text-to-Video Model (1080p Cinematic)

What is Kling 3.0?

Kling 3.0 is a generative AI video model built for cinematic 1080p text-to-video creation. It’s optimized for multi-shot, story-driven clips with realistic motion/physics, strong visual coherence, and optional native audio generation. Developers can use Kling 3.0 to turn a single prompt into a polished video sequence suitable for product storytelling, social content, and prototyping.

Kling ships in two variants: Kling V3 for prompt-driven cinematic output (including multilingual audio and multi-character scenes) and Kling O3 (Omni) for reference-heavy workflows, adding element referencing (multi-image/video input), voice control, and improved character consistency.

Key Features

  • 1080p cinematic generation with strong scene composition and motion realism
  • Multi-shot storytelling for narrative clips (not just single static shots)
  • Optional audio generation (sound effects / ambient audio) via generate_audio
  • Flexible duration (3–15s) for short-form ads, trailers, and social loops
  • Aspect ratios for delivery: 16:9, 9:16, 1:1
  • Prompt adherence controls with cfg_scale (0–1)

Best Use Cases

  • Marketing and growth: short promos, teasers, app/store visuals
  • Film and media: pre-visualization, storyboards, concept trailers
  • Games and entertainment: cinematic vignettes, character beats, mood reels
  • Education: quick explainers with scene-based narration (when paired with audio)
  • Product teams: rapid prototyping of story-driven video concepts

Prompt Tips and Output Quality

  • Write prompts like a shot list: subject + action + setting + camera + lighting + mood.
    Example: “A panda gliding through clear waters, close-up tracking shot, sun rays, gentle ripples, cinematic color grade.”
  • Use negative_prompt to prevent artifacts: start with blur, distort, low quality, then add specifics like “text, watermark, extra limbs.”
  • Increase cfg_scale (e.g., 0.7–0.9) for tighter prompt fidelity; lower it for more creative variation.
  • Pick aspect_ratio intentionally: 9:16 for Reels/TikTok, 16:9 for YouTube, 1:1 for feeds.
  • Use longer duration (12–15s) when you need clearer story progression.

FAQs

Is Kling 3.0 open-source?
Kling 3.0 is provided as an API-accessed generative video model; it’s not described as open-source here.

How is Kling V3 different from Kling O3 (Omni)?
V3 is optimized for prompt-first cinematic generation; O3 adds element referencing (image/video inputs), voice control, and stronger character consistency.

What parameters matter most for quality?
Start with prompt, then tune negative_prompt, cfg_scale, duration, and aspect_ratio.

Does it support audio?
Yes—set generate_audio: true to generate sound effects/ambient audio.

What video lengths can I generate?
Set duration from 3 to 15 seconds depending on your storytelling needs.