Kling v2.6 Text-to-Video
Kling v2.6 Text-to-Video generates video with native audio from text prompts alone. It supports multi-shot narrative storytelling with synchronized speech, sound effects, and ambient audio at up to 1080p in a single request.
import { experimental_generateVideo as generateVideo } from 'ai';
const result = await generateVideo({ model: 'klingai/kling-v2.6-t2v', prompt: 'A serene mountain lake at sunrise.'});Playground
Try out Kling v2.6 Text-to-Video by Kling AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Kling v2.6 Text-to-Video
Your generated video will appear here.
Providers
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About Kling v2.6 Text-to-Video
Kling v2.6 Text-to-Video introduces multi-shot storytelling as a core capability. Earlier Kling text-to-video generations produced a single continuous scene. V2.6 interprets a prompt describing sequential events and generates distinct scene cuts within the output duration. This suits narrative content: an advertisement with a product reveal followed by a lifestyle shot, an educational clip moving through two or three steps, or a social post telling a mini-story.
Native audio generation accompanies this multi-shot capability. Speech synthesis in Chinese and English, sound effects synchronized to on-screen action, and environmental ambient audio all produce in the same inference pass as the video frames. The result is a finished audio-visual asset from a text prompt, with no post-processing alignment needed.
V2.6 also sharpens visual detail rendering compared to v2.5, with improved temporal consistency across scene cuts. This matters for multi-shot content where abrupt or inconsistent transitions degrade the viewing experience.
For developers building content generation pipelines (social media automation, creative brief to video, marketing content at scale), multi-shot storytelling and integrated audio remove two previously required pipeline stages: separate audio processing and manual scene composition.
What To Consider When Choosing a Provider
- Configuration: Audio synthesis supports Chinese and English speech. If you need other languages, confirm support before you ship.
- Zero Data Retention: AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Kling v2.6 Text-to-Video
Best for
- Narrative short-form content: A sequence of events or scenes in a single prompt for advertisements, educational clips, and social posts with story structure
- Marketing video generation: A text creative brief produces a complete audio-visual result without additional production steps
- Audio-visual content pipelines: Pipelines that require both visual and audio output from descriptive text at scale
- Concept prototyping: Rapid multi-scene video ideation before committing to production
Consider alternatives when
- Image-grounded visuals: A reference image must ground the visual appearance of the output, so use the i2v variant
- Silent speed priority: Generation speed and cost efficiency matter most and audio is not needed, so V2.5 Turbo t2v is faster and cheaper
- Fine-grained scene control: You need precise control over specific scene transitions or camera moves, so evaluate later Kling versions with structured scene control
Conclusion
Kling v2.6 Text-to-Video pairs multi-shot narrative output with native audio from one text prompt. One descriptive prompt can yield several scene cuts with sound in one pass. If your pipeline used to split silent video and audio work, v2.6 merges those steps.