klingai-upgrade-migration

Kling AI Upgrade & Migration

Overview

Guide for migrating between Kling AI model versions. Covers breaking changes, parameter differences, feature availability, and parallel testing strategies.

Version History

Migration: v1.x to v2.x

# v1.x requestbody = {    "model_name": "kling-v1-6",    "prompt": "A sunset over mountains",    "duration": "5",    "mode": "standard",}# v2.x -- only model_name changesbody["model_name"] = "kling-v2-master"

Breaking changes:

• kling-v2-1 is I2V-only (no text-to-video support)
• Camera control intensities produce different results at same values
• Generation times differ (v2.x generally slower, higher quality)

Migration: v2.x to v2.6 with Audio

body["model_name"] = "kling-v2-6"body["motion_has_audio"] = True  # NEW: synchronized audio# Cost impact: audio multiplies credits 5x# 5s standard: 10 -> 50 credits

Feature Availability Matrix

Parallel A/B Comparison

def compare_models(prompt, models):    """Generate same prompt across models for comparison."""    results = {}    for model in models:        r = requests.post(f"{BASE}/videos/text2video", headers=get_headers(), json={            "model_name": model, "prompt": prompt, "duration": "5", "mode": "standard",        }).json()        results[model] = {"task_id": r["data"]["task_id"], "start": time.time()}    # Poll all    while any("url" not in r for r in results.values()):        for model, info in results.items():            if "url" in info or "error" in info:                continue            r = requests.get(                f"{BASE}/videos/text2video/{info['task_id']}", headers=get_headers()            ).json()            if r["data"]["task_status"] == "succeed":                info["url"] = r["data"]["task_result"]["videos"][0]["url"]                info["time"] = round(time.time() - info["start"])            elif r["data"]["task_status"] == "failed":                info["error"] = r["data"].get("task_status_msg")        time.sleep(10)    for model, info in results.items():        print(f"{model}: {info.get('url', info.get('error'))} ({info.get('time', '?')}s)")    return results

Rollback Strategy

# Feature flag for instant rollbackKLING_MODEL = os.environ.get("KLING_MODEL_VERSION", "kling-v2-master")body["model_name"] = KLING_MODEL# To rollback: export KLING_MODEL_VERSION=kling-v1-6

Resources

• Model Documentation
• Developer Portal