What is Kling 2.5 Turbo Pro Image to Video API?
Kling 2.5 Turbo Pro generates high-quality videos from images with improved motion quality and faster processing.
Technical Specifications
- Supported inputs: Image
- Output: Video
Performance Benchmarks
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Kling 2.5 Turbo Pro Image to Video API Pricing
- Pricing on request
Where to Use Kling 2.5 Turbo Pro Image to Video
Short-form video generation
Create clips for social, ads, and product demos from text or image prompts.
Previsualization and storyboards
Rapidly prototype motion concepts before committing to production.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Creating dynamic product showcase videos for marketing and advertising. The model is documented as suitable for turning still product images into promotional motion content, and this use case is explicitly listed in the results for this exact model.
Generating cinematic short clips for social media, film pre-visualization, or storyboarding. The model is described as ideal for short cinematic clips, including social posts and early visual planning for films.
Animating static character portraits or concept art for games and digital media. The documented use cases include bringing character art and concept art to life as moving video content.
Producing visually rich explainer videos or educational content with animated diagrams. The results specifically list explainer-style and educational motion content among the model’s suited applications.
import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "klingai/v2.5-turbo/pro/image-to-video", "prompt": "A serene timelapse of clouds over a mountain range" }, ).json() gid = job["id"] while True: res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json() if res.get("status") in ("completed", "error"): break time.sleep(5) print(res["video"]["url"])
const headers = { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "klingai/v2.5-turbo/pro/image-to-video", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json(); } while (!["completed", "error"].includes(res.status)); console.log(res.video.url);
# submit the generation — the response contains the job "id" curl -X POST https://api.aimlapi.com/v2/video/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"klingai/v2.5-turbo/pro/image-to-video","prompt":"A serene timelapse of clouds over a mountain range"}' # then poll until status is "completed" — video.url holds the result curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Kling 2.5 Turbo Pro Image to Video This page | Video generation |
Kling 2.5 Turbo Pro Image to Video takes image as input and returns video.
Kling 2.5 Turbo Pro Image to Video is priced at $0.091 / sec (variable).
Kling 2.5 Turbo Pro Image to Video is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Kling 2.5 Turbo Pro Image to Video accepts image input as well as a text prompt.
Kling 2.5 Turbo Pro Image to Video was built by Kling AI.
Use klingai/v2.5-turbo/pro/image-to-video as the model id on AI/ML API.
Yes. Kling 2.5 Turbo Pro Image to Video is served through AI/ML API, so the same key and endpoint format used for other models applies.
No. This model requires an image as input and generates video from it; it does not support text-only generation.
It generates high-quality videos from images with improved motion quality and faster processing compared to prior versions.