Migrate between Kling AI model versions safely. Use when upgrading from v1.x to v2.x or adopting new features. Trigger with phrases like 'klingai upgrade', 'kling ai migrate', 'klingai version update', 'upgrade kling model'.
Guide for migrating between Kling AI model versions. Covers breaking changes, parameter differences, feature availability, and parallel testing strategies.
| Version | Release | Key Changes |
|---|---|---|
| v1.0 | 2024-06 | Initial T2V + I2V |
| v1.5 | 2024-09 | 1080p, motion brush, I2V-only model |
| v1.6 | 2024-11 | Lip sync, camera paths, effects API |
| v2.0 | 2025-03 | Quality leap, kling-v2-master |
| v2.1 | 2025-06 | Optimized I2V, kling-v2-1-master for T2V |
| v2.5 Turbo | 2025-09 | 40% faster, best speed/quality ratio |
| v2.6 | 2025-12 | Native audio, 30-48 FPS, highest quality |
# v1.x request
body = {
"model_name": "kling-v1-6",
"prompt": "A sunset over mountains",
"duration": "5",
"mode": "standard",
}
# v2.x -- only model_name changes
body["model_name"] = "kling-v2-master"
Breaking changes:
kling-v2-1 is I2V-only (no text-to-video support)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 | v1.0 | v1.5 | v1.6 | v2.0 | v2.1 | v2.5T | v2.6 |
|---|---|---|---|---|---|---|---|
| Text-to-video | Y | Y | Y | Y | I2V only | Y | Y |
| Image-to-video | Y | Y | Y | Y | Y | Y | Y |
| Camera control | - | - | Y | Y | Y | Y | Y |
| Motion brush | - | Y | Y | Y | Y | Y | Y |
| Lip sync | - | - | Y | Y | Y | Y | Y |
| Effects | - | - | Y | Y | Y | Y | Y |
| Native audio | - | - | - | - | - | - | Y |
| 1080p | - | Y | Y | Y | Y | Y | Y |
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
# Feature flag for instant rollback
KLING_MODEL = os.environ.get("KLING_MODEL_VERSION", "kling-v2-master")
body["model_name"] = KLING_MODEL
# To rollback: export KLING_MODEL_VERSION=kling-v1-6