Name: Kling 3.0 Pro Image to Video API
Brand: Kling AI

Overview

What is Kling 3.0 Pro Image to Video API?

Kling 3.0 Pro image-to-video generates premium videos from images with the highest quality in the Kling 3.0 series.

Technical Specifications
- Supported inputs: Image
- Output: Video

Performance Benchmarks
[embed]

Kling 3.0 Pro Image to Video API Pricing
- Pricing on request

Where to Use Kling 3.0 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.

Use cases

Premium production: the model is documented for cinematic scenes that require the highest visual quality, including polished hero spots and other high-fidelity outputs.

Scene transitions: it is documented for smooth cinematic transitions using start and end frames to guide the animation from one shot to another.

Marketing and ads: the model is documented for high-end promotional videos, including ads and product-focused marketing content with professional polish.

Character animation: it is documented for animating portraits and other character-focused visuals with strong motion and detail.

How to use Kling 3.0 Pro Image to Video API

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