Execute migrate and upgrade Kling AI SDK versions safely. Use when updating dependencies or migrating
configurations. Trigger with phrases like 'klingai upgrade', 'kling ai migration',
'update klingai', 'klingai breaking changes'.
Guide for migrating between Kling AI model versions. Covers breaking changes, parameter differences, feature availability, and parallel testing strategies.
Version History
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
Migration: v1.x to v2.x
# 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)
Camera control intensities produce different results at same values
Generation times differ (v2.x generally slower, higher quality)
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 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