
video-v2-6
Kling V2.6 video generation with native sound and voice control. Supports text-to-video and image-to-video with start/end frames, synchronized audio generation, and voice-driven character animation.
api reference
about
kling v2.6 video generation with native sound and voice control. supports text-to-video and image-to-video with start/end frames, synchronized audio generation, and voice-driven character animation.
1. calling the api
install the client
the client provides a convenient way to interact with the api.
1pip install inferenceshsetup your api key
set INFERENCE_API_KEY as an environment variable. get your key from settings → api keys.
1export INFERENCE_API_KEY="inf_your_key"run and get result
submit a request and wait for the final result. best for batch processing or when you don't need progress updates.
1from inferencesh import inference23client = inference()456result = client.run({7 "app": "klingai/video-v2-6",8 "input": {}9 })1011print(result["output"])stream live updates
get real-time progress updates as the task runs. ideal for showing progress bars, partial results, or long-running tasks.
1from inferencesh import inference23client = inference()456# stream=True yields updates as they arrive7for update in client.run({8 "app": "klingai/video-v2-6",9 "input": {}10 }, stream=True):11 if update.get("progress"):12 print(f"progress: {update['progress']}%")13 if update.get("output"):14 print(f"output: {update['output']}")2. authentication
the api uses api keys for authentication. see the authentication docs for detailed setup instructions.
3. files
file inputs are automatically handled by the sdk. you can pass local paths, urls, or base64 data.
automatic upload
the python sdk automatically detects local file paths and uploads them. urls are passed through as-is.
1# local file paths are automatically uploaded2result = client.run({3 "app": "klingai/video-v2-6",4 "input": {5 "image": "/path/to/local/image.png", # detected & uploaded6 "audio": "https://example.com/audio.mp3", # url passed through7 }8})4. webhooks
get notified when a task completes by providing a webhook url. when the task reaches a terminal state (completed, failed, or cancelled), a POST request is sent to your url with the task result.
1result = client.run({2 "app": "klingai/video-v2-6",3 "input": {},4 "webhook": "https://your-server.com/webhook"5}, wait=False)webhook payload
your endpoint receives a JSON POST with the task result:
1{2 "id": "task_abc123",3 "status": 9,4 "output": { ... },5 "error": "",6 "session_id": null,7 "created_at": "2024-01-15T10:30:00Z",8 "updated_at": "2024-01-15T10:30:05Z"9}5. schema
input
text prompt describing the video content. for voice control, include <<<voice_1>>> where the character speaks. max 2500 chars.
start frame image for image-to-video. formats: jpg, jpeg, png. max 10mb, min 300px.
end frame image (pro mode only, disables audio). requires image to be set.
voice id for voice-driven animation (pro mode only). use <<<voice_1>>> in prompt to mark speech.
generation mode. 'pro' for higher quality + sound/voice support, 'std' for faster/cheaper (no audio in std).
generate synchronized audio. only works in pro mode. disabled when using start/end frames.
video aspect ratio.
video duration: 5 or 10 seconds.
what to avoid in the video. max 2500 chars. note: not supported on v2.x models.
ready to run video-v2-6?
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