Name: Kling 3.0 Standard Turbo Image to Video API
Brand: Kling AI

Overview

What is Kling 3.0 Standard Turbo Image to Video API?

Kling 3.0 Turbo Standard image-to-video animates first and last frame reference images into fast, cost-efficient 720p videos with native audio.

Technical Specifications
- Supported inputs: Image
- Output: Video

Performance Benchmarks
[embed]

Kling 3.0 Standard Turbo Image to Video API Pricing
- Pricing on request

Where to Use Kling 3.0 Standard Turbo 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.

Use cases

This model turns a reference image into a video, so it fits use cases such as animating product shots into short promotional clips for ecommerce or ads. It can also be used to bring character art or concept art to life as motion previews for games, films, or creative pitches.

It is also suitable for creating social media content from a single still image, such as animated posts, story clips, or teaser visuals. Another direct use is making quick visual mockups from static images for internal review before committing to full video production.

How to use Kling 3.0 Standard Turbo Image to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to klingai/video-v3-standard-turbo-image-to-video.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "klingai/video-v3-standard-turbo-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/video-v3-standard-turbo-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/video-v3-standard-turbo-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.