Kling v3.0 Text-to-Video is Kling's v3.0 text-to-video model with multi-shot narrative generation, physics-aware motion, native multilingual audio, and up to 15-second output from a single prompt.
import { experimental_generateVideo as generateVideo } from 'ai';
const result = await generateVideo({ model: 'klingai/kling-v3.0-t2v', prompt: 'A serene mountain lake at sunrise.'});Kling v3.0 Text-to-Video introduces multi-shot generation as its signature feature. A single prompt can describe a multi-scene narrative. The model produces up to five coherent shots in one generation pass, each with its own visual composition and action. Total video duration runs up to 15 seconds across these shots, edited together as a continuous sequence. This eliminates the manual workflow of generating and stitching individual clips for multi-scene narratives.
The v3 generation tier improves visual quality in several areas. More realistic physics simulation governs object interactions, environmental elements, and secondary motion. Temporal consistency across frames is stronger. Native audio generation (multilingual speech in English, Chinese, Japanese, Korean, Spanish, and others, plus action sound effects and ambient audio) integrates into the same inference call.
For narrative-driven content production, advertising, and creative storytelling, v3.0 t2v reduces the number of sequential generation calls needed for a multi-scene video. Directing multiple shots from a single descriptive prompt also makes it well suited to AI-assisted storyboarding and pre-visualization workflows.