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Kling v2.5 Turbo Image-to-Video

Kling v2.5 Turbo Image-to-Video animates reference images into 1080p video at turbo generation speed, with first/last frame anchoring for controlled transition sequences.

image-to-videoaudio-generation
index.ts
import { experimental_generateVideo as generateVideo } from 'ai';
const result = await generateVideo({
model: 'klingai/kling-v2.5-turbo-i2v',
prompt: 'A serene mountain lake at sunrise.'
});

Playground

Try out Kling v2.5 Turbo Image-to-Video by Kling AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

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Prompt(required)
Describe the video you want the model to generate.
Need inspiration?
Start frame(required)
The first frame of your video.
Duration5s
5s10s
Resolution
Aspect ratio
Videos to generate
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Your generated video will appear here.

Providers

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Latency
Throughput
Input
Output
Cache
Web Search
Per Query
Capabilities
ZDR
No Training
Release Date
Kling AI
——
09/23/2025

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Throughput
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Cache
Web Search
Per Query
Capabilities
Providers
ZDR
No Training
Release Date
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03/04/2026
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09/23/2025

About Kling v2.5 Turbo Image-to-Video

Kling v2.5 Turbo Image-to-Video animates a still image into a video clip. It uses the visual content of the reference image and an optional text prompt describing motion or scene atmosphere. The turbo speed tier applies fewer refinement passes than standard or Pro modes, so it reaches results faster at lower per-second cost. Choose this tradeoff when you're testing many animation variants from the same source imagery, or when time-to-first-result is a design constraint.

The image input anchors the visual identity of the output. Unlike text-to-video, where visual content generates entirely from a description, image-to-video starts from an existing visual state (a product, a character, a scene) and animates it forward. V2.5 Turbo i2v fits e-commerce product animation, social media content from brand photography, and any application where the visual subject is already defined.

First-frame and last-frame anchoring extend this control further. You can define both the opening and closing visual states of the clip, and the model generates the motion path connecting them. This fits predictable transition sequences (product reveals, character entrances, or state changes) where you've defined the start and end frames in advance.

The model supports durations of five or 10 seconds and three aspect ratios at up to 1080p when you use Pro mode on the provider, covering standard web and mobile delivery formats without upscaling.

What To Consider When Choosing a Provider

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

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

Best For

  • Rapid iteration: Testing multiple motion interpretations of the same reference image before committing to a final version
  • E-commerce product animation: Animating still photography at volume, where turbo speed reduces per-asset generation time
  • Social short-form video: Producing social media clips from existing brand or product imagery
  • Defined-endpoint transitions: Sequences where first/last frame anchoring gives predictable control over start and end visual states

Consider Alternatives When

  • Maximum refinement needed: You prefer peak quality over speed, so standard or Pro tiers that apply more passes fit better
  • Native audio required: You need audio output alongside video, which is a v2.6 feature
  • Text-driven visuals: The visual content should come from a text description rather than an existing image, so use the t2v variant

Conclusion

Kling v2.5 Turbo Image-to-Video provides the fastest path from reference image to animated video clip in the v2.5 generation. First/last frame control enables predictable transitions. Turbo speed supports the iteration pace that volume-oriented image animation workflows need.