# Kling v2.6 Text-to-Video

Kling v2.6 Text-to-Video is a text-to-video model built for multi-shot narrative storytelling. It generates multi-scene video sequences with synchronized native audio from a single descriptive prompt. No reference image or separate audio pipeline is needed.

- **Model ID:** `klingai/kling-v2.6-t2v`
- **Type:** video
- **Providers:** klingai
- **Context window:** Not applicable
- **Maximum output tokens:** 0
- **Pricing:** See the provider details below
- **Canonical page:** https://vercel.com/ai-gateway/models/kling-v2.6-t2v

## Supported parameters

- **Parameters:** `aspectRatio`, `resolution`, `duration`, `fps`
- **Operations:** `text-to-video`
- **Input modalities:** `text`
- **Output modalities:** `video`
- **Aspect ratios:** `16:9`, `9:16`, `1:1`, `4:3`
- **Resolutions:** `720p`, `1080p`
- **Durations:** `5s`, `10s`
- **Frame rates:** `30 fps`
- **Maximum outputs per request:** Not reported

## Example

```ts
import { experimental_generateVideo as generateVideo } from 'ai';

const result = await generateVideo({
  model: 'klingai/kling-v2.6-t2v',
  prompt: 'A serene mountain lake at sunrise.'
});
```

## About

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

Audio synthesis supports Chinese and English speech. If you need other languages, confirm support before you ship.

## When to use

### Best For
- Narrative short-form content describing a sequence of events or scenes in a single prompt: advertisements, educational clips, social posts with story structure
- Marketing video generation where a text creative brief should produce a complete audio-visual result without additional production steps
- Content pipelines that require both visual and audio output from descriptive text at scale
- Rapid concept prototyping for multi-scene video ideas before you lock production

### Consider Alternatives When
- A reference image must ground the visual appearance of the output. Use the i2v variant
- Generation speed and cost efficiency matter most and you don't need audio output. V2.5 Turbo t2v is faster and cheaper
- You need fine-grained control over specific scene transitions or camera moves. Evaluate later Kling versions with structured scene control

## 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

- **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

## Frequently asked questions

### What does multi-shot storytelling mean in Kling v2.6 Text-to-Video?

The model interprets a prompt describing sequential events and generates distinct scene cuts within the output, rather than a single continuous shot. A prompt structured as a brief narrative (scene A, then scene B) produces a video that transitions between those scenes.

### How should I write prompts to take advantage of multi-shot storytelling?

Describe sequential events or scene changes within the prompt. For example, a prompt that describes an action followed by its result, or a product shown then used, tends to trigger multi-shot composition.

### What audio types does Kling v2.6 Text-to-Video generate?

Natural speech in Chinese and English, action-synchronized sound effects, and environmental ambient audio. All produce in the same inference request as the video, with no separate TTS or SFX pipeline.

### Can v2.6 t2v produce video without audio if audio is not needed?

Audio generation is built into v2.6. If you prefer silent video at lower cost, use v2.5 Turbo t2v instead.

### How does v2.6 t2v differ from v2.5 Turbo t2v?

V2.6 adds native audio generation and multi-shot storytelling. V2.5 Turbo is faster and produces silent video. Choose v2.5 Turbo when speed and cost efficiency outweigh the need for audio or narrative scene structure.

### What output durations and resolutions are available?

Outputs are available at five or 10 seconds, at up to 1080p resolution, in 16:9, 9:16, and 1:1 aspect ratios.

## Links

- [Model page](https://vercel.com/ai-gateway/models/kling-v2.6-t2v)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://app.klingai.com/global/release-notes/c605hp1tzd?type=dialog)
- [Provider pricing](https://klingai.com/global/dev/pricing)


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