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.'});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.