Kling V2.6

Video generationUnavailable
by Kuaishou (Kling)Model ID: kling-v2-6

Kling 2.6 Pro: Top-tier image-to-video with cinematic visuals, fluid motion, and native audio generation

Status
Unavailable
Aspect ratios
16:9, 9:16, 1:1
Duration
5 or 10 s
Input → output
Text + Image → Video
Developer
Kuaishou (Kling)
Updated
September 24, 2026

Kling V2.6 is currently unavailable

Currently unavailable: this model has been deactivated.

You can still read the details on this page. Pick one of the available alternatives below to run a comparable model right away.

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01

Comparable models

All in this category
  • Google Veo 2Google DeepMind

    Google's state-of-the-art video generation model. Simulates real-world physics with various visual styles.

    $0.60/s

  • Google's Veo 3 served via Replicate. Text-to-video with native synchronized audio generation. High-fidelity motion and scene coherence in short clips.

    $0.48/s

  • Google Veo 3.1Google DeepMind

    Latest Veo with image-to-video and context-aware audio

    $0.48/s

02

Playground

Try Kling V2.6

Input & output

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Currently unavailable: this model has been deactivated.

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Try Kling V2.6
Output
Your video appears here.

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03

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.
  • Prompt

    A cinematic, low-angle tracking shot follows a cyclist from behind as they weave through busy New York City traffic. The camera then smoothly orbits around to the front, capturing the cyclist's determined expression. The cyclist is a young man with a mustache, wearing a white t-shirt, black shorts, white socks, and a blue baseball cap. He is riding a sleek black fixed-gear bicycle. The city streets are filled with iconic yellow taxis and various modern cars, with towering skyscrapers lining the background. Bright, natural sunlight creates sharp contrasts and highlights, enhancing the fast-paced, urban atmosphere. The motion is fluid and dynamic, emphasizing the speed and agility of the cyclist amidst the metropolitan chaos.

    Length: 0:05

    Settings

    aspect_ratio
    16:9
    duration
    5
  • Prompt

    A woman walks down a rain-slicked neon street at night, camera slowly tracking behind her. She stops and turns to face the camera, saying "Let's begin." Ambient sound of rain on pavement, distant traffic, soft footsteps

    Length: 0:05

    Settings

    aspect_ratio
    16:9
    duration
    5
  • Prompt

    A high-octane cinematic action sequence featuring a man in a black suit desperately fleeing through a series of opulent, classically designed hallways. The camera follows closely behind him in a shaky, first-person-style chase perspective, heightening the tension. As he runs, bullets impact the ornate walls and furniture around him, sending splinters of wood and plaster flying into the air. The man navigates through arched doorways and past large, dark-wood dressers, eventually entering a grand, circular ballroom with a polished marble floor and large windows revealing a twilight blue sky. Without hesitation, he sprints towards a set of double glass doors, crashing through them in a flurry of shattered glass as he leaps out into the open air. The final shot is a dramatic view from below as he sails through the dim evening sky, framed against the silhouettes of distant trees

    Length: 0:05

    Settings

    aspect_ratio
    16:9
    duration
    5
04

About Kling V2.6

TL;DRAs of September 24, 2026

Kling V2.6 is a model by Kuaishou (Kling) in the Video generation category. Kling V2.6 is currently not available on Railwail. Supported aspect ratios: 16:9, 9:16, and 1:1. Possible lengths: 5 or 10 s.

05

Pricing

Currently unavailable: this model has been deactivated. There is no price for this model at the moment, so it cannot be run.

06

API

Call Kling V2.6 with your Railwail API key. Use this model ID in the request:

Currently unavailable

The model has no verified price or is deactivated; API calls are refused.

07

Specifications

Model ID
kling-v2-6
Input
Text, Image
Output
Video
Aspect ratios
16:9, 9:16, 1:1
Duration
5 or 10 s
Catalog entry updated
September 24, 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

  • promptrequired
    Type: Text
    Default: –
    Allowed values: –
  • duration
    Type: Choice
    Default: 5
    Allowed values: 5 or 10
  • start_image
    Type: Image
    Default: –
    Allowed values: –
  • aspect_ratio
    Type: Choice
    Default: –
    Allowed values: 16:9, 9:16, or 1:1

Tags

  • replicate
  • kwaivgi
  • text-to-video
08

Use cases

09

Frequently asked questions

What is Kling V2.6?

Kling V2.6 is a model by Kuaishou (Kling) in the Video generation category. It is listed on Railwail but cannot be run at the moment.

How much does Kling V2.6 cost on Railwail?

Kling V2.6 cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

Which settings does Kling V2.6 support?

According to its input schema, Kling V2.6 knows these parameters: prompt, duration (5 or 10), start_image, and aspect_ratio (16:9, 9:16, or 1:1).

How fast is Kling V2.6?

There are not enough measured runs of Kling V2.6 on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is Kling V2.6 better than Google Veo 3.1?

That depends on the task. Kling V2.6 (Kuaishou (Kling)) and Google Veo 3.1 (Google DeepMind) are both models in the Video generation category. The comparison page shows their prices and specifications side by side.

Compare Kling V2.6 and Google Veo 3.1

Can Kling V2.6 use an image as input?

Yes. Send the image in the start_image parameter.

Can I use Kling V2.6 right now?

Currently unavailable: this model has been deactivated. The page stays online; available alternatives from the same category are listed further down.

All models through one API

One API key for every model on Railwail. Usage is charged from prepaid credits, 1 credit = $0.01.