MODEL ID klingai:kling-video@2.6-standard

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Kling VIDEO 2.6 Standard

by Kling AI December 11, 2025

Kling VIDEO 2.6 Standard is a high-quality AI video generation model focused on producing visually coherent short clips with stable motion, expressive camera movement, and strong prompt adherence. It generates video from text prompts or an optional input image, making it suitable for cinematic previews, social content, and creative prototyping where audio is not required.

API Options

Platform-level options for task execution and delivery.

taskType string required value: videoInference: Identifier for the type of task being performed

taskUUID string required UUID v4: UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType string default: URL: Video output type.

Allowed values 1 value

outputFormat string default: MP4

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

`MP4`: Widely supported video container (H.264), recommended for general use.
`WEBM`: Optimized for web delivery.
`MOV`: QuickTime format, common in professional workflows (Apple ecosystem).

Allowed values 3 values

outputQuality integer min: 20 max: 99 default: 95: Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL string URI

Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

Learn more 1 resource

Webhooks
PLATFORM

deliveryMethod string default: async

Determines how the API delivers task results.

Allowed values 1 value

: Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.

Learn more 1 resource

Task Polling
PLATFORM

uploadEndpoint string URI

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

Common use cases:

Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
CDN integration: Upload to content delivery networks for immediate distribution.

// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg

The content data will be sent as the request body to the specified URL when generation is complete.

safety object

Content safety checking configuration for video generation.

Properties 2 properties

safety » checkContent checkContent boolean default: false: Enable or disable content safety checking. When enabled, defaults to fast mode.

safety » mode mode string default: none

Safety checking mode for video generation.

Allowed values 3 values

: Disables checking.
: Checks key frames.
: Checks all frames.

ttl integer min: 60: Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost boolean default: false: Include task cost in the response.

numberResults integer min: 1 max: 4 default: 1: Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.

inputs » referenceImages referenceImages array of strings min items: 1: List of reference images (UUID, URL, Data URI, or Base64).

inputs » referenceVideos referenceVideos array of strings items: 1: List of reference videos (UUID, URL).

Generation Parameters

Core parameters for controlling the generated content.

model string required value: klingai:kling-video@2.6-standard

Identifier of the model to use for generation.

Learn more 3 resources

positivePrompt string required min: 2 max: 2500

Text prompt describing elements to include in the generated output.

Learn more 2 resources

Provider Settings

Parameters specific to this model provider. These must be nested inside the providerSettings.klingai object.

providerSettings » klingai » characterOrientation characterOrientation string

Source for character orientation reference.

Allowed values 2 values

: Match orientation from the reference image.
: Match orientation from the reference video.

providerSettings » klingai » keepOriginalSound keepOriginalSound boolean default: false: Maintain the original sound from the reference video.

taskType string required value: videoInference: Type of the task.

taskUUID string required UUID v4: UUID of the task.

videoUUID string required UUID v4: UUID of the output video.

videoURL string URI: URL of the output video.

videoBase64Data string: Base64-encoded video data.

videoDataURI string URI: Data URI of the output video.

seed integer: The seed used for generation. If none was provided, shows the randomly generated seed.

NSFWContent boolean: Flag indicating if NSFW content was detected.

cost float: Task cost in USD. Present when includeCost is set to true in the request.

Image to Video

Flooded Metro Tunnel Ballet

Request

{
  "taskType": "videoInference",
  "taskUUID": "3bdba0d3-e60e-4a0a-b82e-1a092ca07810",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A lone contemporary dancer performs in an abandoned metro tunnel partially covered by shallow water, reflections rippling under overhead maintenance lights. The performer matches the reference image appearance and uses the reference video motion language and scene flow. Graceful spins, sliding footwork, controlled leaps, water splashes in arcs, drifting steam, glossy concrete walls, distant signal lights, cinematic depth, dramatic contrast, highly coherent body motion, smooth tracking camera, realistic fabric movement, refined details, atmospheric urban surrealism",
  "providerSettings": {
    "klingai": {
      "characterOrientation": "image",
      "keepOriginalSound": false
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/d870d89d-6d8d-4d27-a56c-075f0c8bbd74.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/8149db4d-fa6e-433a-9537-1ea6c35e4bbe.mp4"
    ]
  }
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "3bdba0d3-e60e-4a0a-b82e-1a092ca07810",
  "videoUUID": "1caa0e23-d0cf-45bb-84cc-4fb7a909383f",
  "videoURL": "https://vm.runware.ai/video/os/a04d20/ws/5/vi/1caa0e23-d0cf-45bb-84cc-4fb7a909383f.mp4",
  "cost": 0.33
}

Text to Video

Lantern Orchard Fox Chase

Request

{
  "taskType": "videoInference",
  "taskUUID": "de5cec1a-ac2d-4973-996a-e9a24a5e1351",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A nimble red fox darts through an orchard of low twisting fruit trees hung with hundreds of glowing paper lanterns, each lantern painted with tiny constellations and hand-drawn stars. Fireflies swirl in loose spirals above the grass while fallen petals and leaves scatter under the fox's paws. The camera begins with a low tracking shot following behind the fox, then arcs sideways between tree trunks, revealing a small child in a patchwork cape laughing and chasing at a distance with a wooden kite shaped like a comet. Warm amber lantern light mixes with cool blue night haze, creating rich depth and contrast. The fox leaps over a narrow stream reflecting the lanterns, lands smoothly, and pauses on a mossy stone as the camera pushes in for a brief heroic close view before pulling upward to reveal the full orchard glowing like a constellation map. Highly detailed, cinematic, expressive motion, stable anatomy, natural environmental movement, soft atmospheric depth, polished fantasy realism."
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "de5cec1a-ac2d-4973-996a-e9a24a5e1351",
  "videoUUID": "e8d39149-adad-4c70-b65a-8cbfb30c6e39",
  "videoURL": "https://vm.runware.ai/video/os/a07dlim3/ws/5/vi/e8d39149-adad-4c70-b65a-8cbfb30c6e39.mp4",
  "cost": 0.7
}

Text to Video

Windblown Clifftop Violinist Portrait

Request

{
  "taskType": "videoInference",
  "taskUUID": "e927d0ae-fd83-4090-8e94-59d98cd6b44e",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A solitary violinist in a long amber coat stands on a narrow grassy cliff above a cold steel-blue ocean, performing with intense emotion as strong wind whips their coat tails and hair sideways. The camera begins in a medium shot behind wild coastal flowers, then arcs gently around to a close three-quarter view, revealing precise bow movement, subtle facial expression, and rolling white waves crashing far below. Late-afternoon light breaks through layered storm clouds, creating moving bands of gold across the cliff and sea. Realistic cinematic style, natural textures, coherent body motion, elegant camera movement, atmospheric depth, highly detailed environment, dramatic yet grounded mood.",
  "providerSettings": {
    "klingai": {}
  }
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "e927d0ae-fd83-4090-8e94-59d98cd6b44e",
  "videoUUID": "5c199508-dd9d-4ffb-91ef-72e3b833ce9a",
  "videoURL": "https://vm.runware.ai/video/os/a08dlim3/ws/5/vi/5c199508-dd9d-4ffb-91ef-72e3b833ce9a.mp4",
  "cost": 0.7
}

Image to Video

Retro Arcade Aisle Standoff

Request

{
  "taskType": "videoInference",
  "taskUUID": "59d07ed7-12eb-415a-96ed-178d1b54fa80",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "Use the reference image as the main subject and the reference video as the motion guide. A nostalgic late-night arcade packed with towering game cabinets, animated score screens, chrome edges, haze from old ventilation, saturated cyan and magenta highlights. The featured pinball mechanic stands centered in the aisle as the camera pushes forward, then subtly arcs around them. Their jacket catches shifting monitor glow, hair and clothing react naturally to movement, expression focused and cool. Surrounding machines pulse with scrolling pixels, reflected light streaks across the polished floor, tiny dust motes drift through the beams, cinematic depth, coherent body motion, strong subject consistency, stylish 1980s-inspired color grade, crisp details, high-end commercial music-video feel.",
  "providerSettings": {
    "klingai": {
      "characterOrientation": "image",
      "keepOriginalSound": false
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/bb5f61d4-2374-46c5-bcb0-c9d5d07f1669.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/635c30b6-5efd-4915-8595-018aff559b95.mp4"
    ]
  }
}

Response

{
  "taskType": "videoInference",
  "taskUUID": "59d07ed7-12eb-415a-96ed-178d1b54fa80",
  "videoUUID": "619aeb49-8a0d-4620-9187-9cbefbdbf62e",
  "videoURL": "https://vm.runware.ai/video/os/a05d22/ws/5/vi/619aeb49-8a0d-4620-9187-9cbefbdbf62e.mp4",
  "cost": 0.33
}