Kling Transitions — Resumen

Arm to Blue Liquid generado

→

→

the person's arm and hand gradually transform into flowing blue liquid,
skin morphs into smooth glossy electric blue liquid with water-like
ripples, droplets and surface highlights, photorealistic, same lighting,
same tiled floor background, same camera angle and framing,
only the arm changes, fluid dynamics, cinematic, 8K hyperrealistic

Arm to Intense Fire generado

→

→

the person's arm and hand gradually transform into intense
hyperrealistic fire, the blue liquid skin ignites and turns into
bright orange and yellow flames with a white-hot core, glowing
embers, heat distortion, sparks flying, smoke rising,
photorealistic, same lighting, same tiled floor background,
same camera angle and framing, only the arm changes, cinematic,
8K hyperrealistic fire physics

Arm Fire to Normal generado

→

→

the intense fire engulfing the person's arm and hand gradually
extinguishes hyperrealistically, flames shrink and die out,
embers cooling and fading, smoke dissipating, the burning arm
slowly reveals normal human skin underneath, the hand rotates
and opens from a closed fist to a relaxed open hand,
photorealistic, same lighting, same tiled floor background,
same camera angle and framing, cinematic, 8K hyperrealistic

Código: Normal a Líquido

import os
import time
import base64
import subprocess
import requests
import jwt  # pip install PyJWT

ACCESS_KEY = os.getenv("KLING_ACCESS_KEY")
SECRET_KEY = os.getenv("KLING_SECRET_KEY")
BASE_URL = "https://api.klingai.com"

START_IMAGE = "inicio.jpeg"
END_IMAGE = "paso2 - agua.png"
OUTPUT_DIR = os.path.expanduser("~/Movies/arm-liquid-transition")

TARGET_DURATION = 3.5  # segundos, recorte final con ffmpeg


def get_token() -> str:
    payload = {
        "iss": ACCESS_KEY,
        "exp": int(time.time()) + 1800,
        "nbf": int(time.time()) - 5,
    }
    return jwt.encode(payload, SECRET_KEY, algorithm="HS256")


def to_base64(path: str) -> str:
    with open(path, "rb") as f:
        return base64.b64encode(f.read()).decode()


def submit(start: str, end: str, prompt: str) -> str:
    headers = {
        "Authorization": f"Bearer {get_token()}",
        "Content-Type": "application/json",
    }
    payload = {
        "model_name": "kling-v1-6",
        "image": to_base64(start),
        "image_tail": to_base64(end),
        "prompt": prompt,
        "negative_prompt": (
            "blurry, low quality, artifacts, unnatural, body distortion outside "
            "the arm, face changes, background changes, camera movement"
        ),
        "cfg_scale": 0.8,
        "mode": "pro",
        "duration": "5",
    }
    resp = requests.post(f"{BASE_URL}/v1/videos/image2video", json=payload, headers=headers)
    resp.raise_for_status()
    task_id = resp.json()["data"]["task_id"]
    print(f"Task: {task_id}")
    return task_id


def poll(task_id: str, timeout: int = 300) -> str:
    headers = {"Authorization": f"Bearer {get_token()}"}
    deadline = time.time() + timeout
    while time.time() < deadline:
        resp = requests.get(
            f"{BASE_URL}/v1/videos/image2video/{task_id}",
            headers=headers,
        )
        resp.raise_for_status()
        result = resp.json()["data"]
        status = result["task_status"]
        print(f"  {status}...")
        if status == "succeed":
            return result["task_result"]["videos"][0]["url"]
        if status == "failed":
            raise RuntimeError(f"Failed: {result}")
        time.sleep(10)
    raise TimeoutError("Timed out")


def download(url: str, path: str):
    r = requests.get(url, stream=True)
    r.raise_for_status()
    with open(path, "wb") as f:
        for chunk in r.iter_content(8192):
            f.write(chunk)
    print(f"Saved: {path}")


def trim(input_path: str, output_path: str, duration: float):
    subprocess.run(
        [
            "ffmpeg", "-y", "-i", input_path,
            "-t", str(duration),
            "-c:v", "libx264", "-c:a", "aac",
            output_path,
        ],
        check=True,
    )
    print(f"Trimmed: {output_path}")


if __name__ == "__main__":
    os.makedirs(OUTPUT_DIR, exist_ok=True)

    prompt = (
        "the person's arm and hand gradually transform into flowing blue liquid, "
        "skin morphs into smooth glossy electric blue liquid with water-like "
        "ripples, droplets and surface highlights, photorealistic, same lighting, "
        "same tiled floor background, same camera angle and framing, "
        "only the arm changes, fluid dynamics, cinematic, 8K hyperrealistic"
    )

    task_id = submit(START_IMAGE, END_IMAGE, prompt)
    video_url = poll(task_id)

    full_output = os.path.join(OUTPUT_DIR, "arm_to_liquid_full.mp4")
    download(video_url, full_output)

    trimmed_output = os.path.join(OUTPUT_DIR, "arm_to_liquid.mp4")
    trim(full_output, trimmed_output, TARGET_DURATION)

    print(f"\nDone: {trimmed_output}")