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Kuaishou

Kling 2.5

kling-2.5-turbo/text-to-video

An image-to-video model launched by Kuaishou, standing out for its smooth motion and character consistency, with support for negative prompts and CFG adjustment, making it suitable for generating short clips with highly dynamic camera work

Try kling-2.5-turbo/text-to-video

Input

Output

video
Fill in the parameters and run — results show up here.

Pricing

kling-2.5-turbo/text-to-video per second

Unit Price $0.060

Positioning Overview

The text-to-video pipeline of Kling 2.5 Turbo is designed for developers who need to generate short videos directly from text. Simply input a prompt to produce cinematic clips of up to 10 seconds in landscape, portrait, or square aspect ratios, with support for negative prompts and CFG adjustment to control the visual direction. It is well suited for rapid content production of advertising shorts, film and television previews, and social media, and performs well in scenes with highly dynamic action and camera movement.

Key Highlights

  • Quantifiable adjustment of prompt adherence — cfg_scale adjusts how closely the video follows the text description between 0 and 1, making it easy to balance creative freedom and precise reproduction.
  • Negative prompts to exclude interfering elements — supports negative_prompt of up to 2500 characters to explicitly describe unwanted content and reduce wasteful regenerations.
  • Three aspect ratios for multiple publishing channels — aspect_ratio offers 16:9, 9:16, and 1:1, so a single integration covers landscape, portrait, and square content.
  • Two duration options: 5 and 10 seconds — duration can be set to 5 or 10 seconds, controlling clip length according to the needs of the final cut, suitable for short films and storyboard-level assets.

Capabilities

Direct text-to-video generation: Generate video by providing a prompt that describes the subject, action, scene, and camera movement, up to 2500 characters, suitable for batch production of shot assets using natural language.

Negative prompting and CFG control: Use negative_prompt to exclude unwanted elements and cfg_scale to adjust the strength of prompt adherence, reducing repeated attempts and improving the usability rate of single generations.

Selectable aspect ratio and duration: Choose 16:9, 9:16, or 1:1 aspect ratios according to the publishing channel, and specify a 5- or 10-second duration, so the output directly matches the specification requirements of the distribution channel.

Use Cases

  • Advertising and brand teams: turning product selling-point copy into short videos — Input product descriptions and camera movement prompts to produce 5- or 10-second brand short video assets for feed advertising and social media publishing.
  • Film and television pre-production teams: generating previews of script segments — Convert scene descriptions into dynamic concept clips to serve as storyboards and visual previews, helping directors and cinematographers confirm shot rhythm.
  • Social media operations: batch production of vertical short videos — Choose the 9:16 aspect ratio and short durations to batch-generate vertical assets based on topic copy for daily content updates on short video platforms.
  • Action and sports content creators: generating highly dynamic shots — Use prompts to describe complex actions such as sports and dance, and generate clips with smooth motion for sports or dance content production.

Limitations and Selection Advice

The maximum duration per generation is 10 seconds, so it is not suitable for directly producing long videos and requires post-production splicing or segmented generation. Output quality depends heavily on prompt writing and tuning parameters such as cfg_scale and negative prompts; for first-time use, it is recommended to run a small batch of trials to determine the parameters. This pipeline accepts only text input; if you already have reference images and want to maintain visual consistency, you should choose the image-to-video pipeline in the same family. For projects involving long-shot narratives or strict storyboard continuity, the cost of connecting segmented generations should be evaluated.

  • New model Added kling-2.5-turbo/text-to-video docs
  • New model New video model docs

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