| name | klingai-upgrade-migration |
| description | 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'.
|
| allowed-tools | Read, Write, Edit, Bash(npm:*), Grep |
| version | 1.18.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","kling-ai","migration","upgrade"] |
| compatibility | Designed for Claude Code |
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
| 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
body = {
"model_name": "kling-v1-6",
"prompt": "A sunset over mountains",
"duration": "5",
"mode": "standard",
}
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)
Migration: v2.x to v2.6 with Audio
body["model_name"] = "kling-v2-6"
body["motion_has_audio"] = True
Feature Availability Matrix
| 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 |
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()}
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.time() - info[])
r[][] == :
info[] = r[].get()
time.sleep()
model, info results.items():
()
results
Rollback Strategy
KLING_MODEL = os.environ.get("KLING_MODEL_VERSION", "kling-v2-master")
body["model_name"] = KLING_MODEL
Resources
