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.
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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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.
Frequently Asked Questions
What is the turbo speed advantage for image-to-video generation?
Turbo applies fewer refinement passes than standard or Pro modes, so runs finish faster and per-second cost stays lower. Higher tiers add refinement you won't get here. For iteration-heavy workflows, speed usually matters more than that gap.
How does providing a reference image differ from text-to-video in practice?
The photograph defines the visual subject, appearance, composition, and context. The model animates what's already there instead of generating from a description. This produces more predictable visual fidelity to a specific subject, making it preferable when exact appearance matters.
Can I provide both a first frame and a last frame simultaneously?
Yes. Kling v2.5 Turbo Image-to-Video supports both first-frame and last-frame anchoring in the same request. You can define the starting image, ending image, or both endpoints of the generated clip.
Does the turbo tier support the same aspect ratios and resolutions as other tiers?
Yes. Outputs reach up to 1080p at 16:9, 9:16, and 1:1, matching the delivery formats in standard and Pro tiers on the provider.
What access tier is required on AI Gateway?
Video generation is in beta for Pro and Enterprise plans and paid AI Gateway users. Confirm your plan before you build production integrations.
Why choose v2.5 Turbo i2v over v2.6 i2v?
V2.5 Turbo i2v is faster and cheaper when you don't need audio output. V2.6 i2v adds native audio generation and visual quality improvements. Choose v2.6 when synchronized audio is part of your required output.