# Kling v2.6 Image-to-Video

Kling v2.6 Image-to-Video combines image animation and audio synthesis. It accepts a reference image and produces animated video with synchronized speech, sound effects, and environmental audio in one request. No separate audio pipeline is needed.

- **Model ID:** `klingai/kling-v2.6-i2v`
- **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-i2v

## Supported parameters

- **Parameters:** `aspectRatio`, `resolution`, `duration`, `fps`
- **Operations:** `image-to-video`
- **Input modalities:** `text`, `image`
- **Output modalities:** `video`
- **Aspect ratios:** `16:9`, `9:16`, `1:1`
- **Resolutions:** `720p`, `1080p`
- **Durations:** `5s`, `10s`
- **Frame rates:** `30 fps`
- **Maximum outputs per request:** Not reported
- **Maximum input images:** 2
- **Input image formats:** `jpg`, `jpeg`, `png`
- **Maximum input image size:** 10 MB

## Example

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

const result = await generateVideo({
  model: 'klingai/kling-v2.6-i2v',
  prompt: 'A serene mountain lake at sunrise.'
});
```

## About

Kling v2.6 Image-to-Video is the first Kling image-to-video release with native audio generation. It eliminates the post-production step of aligning a separately rendered audio track to a silent clip. The audio layer covers three categories: natural speech in Chinese and English, action-synchronized sound effects, and environmental ambience. All audio renders in the same inference pass that produces the video frames.

The reference image grounds the visual output. The model animates the scene depicted in the provided image rather than generating visual content from scratch. First-frame and last-frame anchoring carry forward from prior versions. You can define both the opening and closing visual states, and the model fills in the motion path between those anchors. This works well for product reveals, character entrances, or controlled transitions where you've defined the start and end configurations photographically.

For content teams working on social media clips, product demos, or localized marketing materials, audio-video unification in v2.6 reduces pipeline stages per finished asset. A reference product photograph plus a text description produces a complete video with visuals and sound. No separate text-to-speech (TTS) or sound effects (SFX) processing step is needed.

The v2.6 generation also improves visual quality over v2.5, with better temporal consistency across frames and sharper rendering of complex scenes.

## What to consider

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

## When to use

### Best For
- Brand and product videos where a reference image anchors the visual content and synchronized audio narration or ambient sound is required
- Localized short-form video using Chinese or English speech synthesis tied to existing photography
- Controlled transition animation between two defined visual states with audio accompaniment
- Social media and advertising clips where audio-video sync is expected and a reference image defines the visual subject

### Consider Alternatives When
- You don't need audio output and prefer the lower cost of a silent tier. V2.5 Turbo i2v is faster and cheaper for silent animation
- You need multi-shot narrative sequences with distinct scene changes. Later Kling versions support multi-shot storytelling
- A text description rather than a reference image should drive visual content. Use the t2v variant

## Best for

- **Brand and product videos:** Reference imagery anchors visuals and synchronized audio narration or ambient sound is required
- **Localized short-form video:** Chinese or English speech synthesis tied to existing photography
- **Controlled transitions with audio:** Animation between two defined visual states with audio accompaniment
- **Advertising clips:** Social media and ad content where audio-video sync is expected and a reference image defines the visual subject

## Consider alternatives

- **Silent video preferred:** You don't need audio output and prefer the lower cost of a silent tier, so V2.5 Turbo i2v is faster and cheaper
- **Multi-shot sequences:** You need narrative sequences with distinct scene changes, which later Kling versions support
- **Text-driven visuals:** A text description rather than a reference image should drive visual content, so use the t2v variant

## Frequently asked questions

### How does first/last frame anchoring work in Kling v2.6 Image-to-Video?

You supply images defining the opening frame, the closing frame, or both. The model generates motion and scene evolution between those endpoints. This suits controlled product reveals or transition sequences where you know the visual start and end states in advance.

### What audio categories does v2.6 i2v generate?

Three types: natural speech synthesis in Chinese and English, action-relevant sound effects timed to on-screen events, and environmental ambient sound reinforcing the scene atmosphere. All three synchronize to the video output.

### Is the audio produced in a separate processing step?

No. Audio generates in the same inference request as video. There's no separate TTS or SFX pipeline to coordinate. The finished output includes both video and audio.

### What is the maximum video duration for Kling v2.6 Image-to-Video?

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

### How does v2.6 i2v differ from v2.5 Turbo i2v?

V2.6 adds native audio generation. V2.5 Turbo produces silent video and prioritizes fast generation at lower cost. V2.6 also includes visual quality improvements over the v2.5 generation.

### Does the model require a text prompt in addition to the reference image?

A text prompt is optional but recommended. It guides the model's animation direction and audio synthesis toward your intended output.

## Links

- [Model page](https://vercel.com/ai-gateway/models/kling-v2.6-i2v)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://app.klingai.com/global/dev/document-api/apiReference/model/motionControl)
- [Provider pricing](https://klingai.com/global/dev/pricing?scrollTo=video)


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