> For the complete documentation index, see [llms.txt](https://docs.pletor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pletor.ai/models/video-models/kling-2.6.md).

# Kling 2.6

## Overview

First-ever Kling video model with native audio generation, creating complete audio-visual experiences.

Creates synchronized voice, dialogue, sound effects, and ambient audio alongside video content. Best for product showcases, lifestyle vlogs, and any content requiring built-in narration or dialogue without separate audio production.

### Strengths

* **Native audio-visual synchronization**: Generates perfectly matched dialogue, sound effects, and ambient sounds with video - eliminates need for separate audio production
* **Image-to-audio-visual**: Transform static product images into dynamic videos with synchronized voice and sound
* **Superior prompt understanding**: Accurately interprets complex creative briefs for coherent audio-visual output

### Ideal use cases

* Product demonstrations with professional narration from static images
* E-commerce product videos with voice descriptions and ambient sound
* Social media content with built-in audio for Instagram, TikTok, YouTube
* News-style announcements or updates with broadcast-quality narration
* Music videos with synchronized singing or rap performances
* Short fake UGC content: lifestyle vlogs, testimonials, unboxing videos with natural dialogue

### Weaknesses

* Limited to Chinese and English voice output (other languages auto-translate to English for voice, visuals remain accurate)
* Does not support separate start/end frames (single reference image only)
* 10-second maximum duration
* Video quality heavily dependent on input image resolution for image-to-video

***

## How to use effectively

#### Principles

Kling 2.6 follows similar prompting principles as [Kling 2.5](/models/video-models/kling-2.5.md), with adaptations required for sound and audio:

* For English speech: use lowercase for normal words, UPPERCASE for acronyms (NASA, CEO) or brand names you want emphasized
* Specify voice characteristics before dialogue: "\[Young Caucasian male, sunny voice]" or "\[African-American female host, cheerful voice]"
* Add ambient sound instructions: "Background: Soft beauty BGM playing" or "accompanied by the gentle sound of vacuuming"
* For music content, describe both the musical style and vocal delivery

#### Examples

<details>

<summary>Product showcases</summary>

In your prompt, describe both the product and the narrative:&#x20;

> *"In a beauty live-streaming room, warm yellow lighting illuminates the table, with lipstick samples displayed on either side. \[Caucasian beauty influencer] raises a matte dusty rose lipstick. \[Caucasian beauty influencer, sweet and fresh voice] says: 'Perfect for yellow undertones! Brightens the complexion without drying, and the finish looks beautifully soft all day.' Background: Soft beauty BGM playing."*

</details>

<details>

<summary>L<strong>ifestyle vlogs</strong></summary>

Describe the complete scene including environment, character actions, and emotional tone. Specify camera style explicitly:

> &#x20;*"The camera is in vlog close-up style" or "selfie perspective with natural hand movement." For dialogue, write exactly what should be said in quotes within your prompt - the model will generate natural delivery with appropriate pacing and emotion.*

</details>

<details>

<summary><strong>Multi-character dialogue</strong></summary>

Structure your prompt to clearly distinguish speakers. Use character descriptions before each line of dialogue.&#x20;

For Interview or conversation formats: "\[Character 1 description] says: '\[dialogue].' \[Character 2 description] responds: '\[dialogue].' The camera \[movement description]."

The model handles turn-taking naturally when you provide clear speaker attribution.

</details>