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Kling v2.5 Turbo Text-to-Video

klingai/kling-v2.5-turbo-t2v

Kling v2.5 Turbo Text-to-Video generates up to 1080p video directly from text prompts at turbo generation speed, optimized for prompt-to-video iteration and high-volume creative content pipelines.

text-to-videoaudio-generation
index.ts
import { experimental_generateVideo as generateVideo } from 'ai';


const result = await generateVideo({
  model: 'klingai/kling-v2.5-turbo-t2v',
  prompt: 'A serene mountain lake at sunrise.'
});

What To Consider When Choosing a Provider

  • Zero Data Retention

    AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.

    Authentication

    AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

Video generation is in beta for Pro and Enterprise plans and paid AI Gateway users. Confirm your plan before you ship.

When to Use Kling v2.5 Turbo Text-to-Video

Best For

  • High-volume prompt testing:

    Exploring many textual interpretations of a creative concept before selecting finalists for higher-quality rendering

  • Social short-form content:

    Generating social media content from written creative briefs where turbo speed keeps the pipeline responsive

  • Concept visualization:

    Storyboarding and exploration where fast turnaround matters more than final-quality rendering

  • UI prototype assets:

    Prototype video assets for app or web UI mockups before production filming

Consider Alternatives When

  • Image-anchored visuals:

    A reference image must anchor the visual subject or style, so use the i2v variant

  • Multi-shot narratives:

    You need multi-shot narrative video with distinct scene changes, which V2.6 t2v supports

  • Integrated audio:

    You require audio narration or sound effects, which V2.6 t2v includes natively

Conclusion

Kling v2.5 Turbo Text-to-Video is the fastest prompt-to-video path in the v2.5 generation. It suits creative workflows where testing many text descriptions improves your final picks. If you iterate on prompts before you lock final renders, turbo speed matches that cadence.

FAQ

Turbo applies fewer refinement passes than standard or Pro paths, so runs finish sooner and cost less per second of video. You don't get every refinement pass from higher tiers. For iteration-heavy or social workloads, that speed usually matters more.

Specify subject, environment, motion, and visual atmosphere in your scene descriptions. Including motion cues (panning, close-up, slow motion) and atmosphere descriptors (lighting, color palette, mood) helps the model render your intent rather than making compositional choices by default.

Outputs are available at five or 10 seconds. Supported aspect ratios include 9:16 vertical, 16:9 widescreen, and 1:1 square.

V2.5 reads motion language in prompts more reliably than older Kling text-to-video tiers. Explicit camera parameters (pan, push, pull) show up in later Kling versions; lean on prompt wording here.

V2.5 Turbo is faster and cheaper when you don't need audio output or multi-shot storytelling. V2.6 t2v adds native audio generation and multi-shot narrative capability. Choose v2.6 when those features are part of your required output.

Video generation is in beta for Pro and Enterprise plans and paid AI Gateway users.