MODEL IDklingai:3@2
live

KlingAI 1.6 Pro

Kling AI
by Kling AI

KlingAI 1.6 Pro converts still images into smooth high detail 1080p video. It improves motion, facial expressions, lighting, and scene detail. Creators gain precise control over first and last frames. Ideal for short cinematic sequences and visual storytelling.

KlingAI 1.6 Pro

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: videoInference

Identifier for the type of task being performed

taskUUID

stringrequiredUUID v4

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

outputType

stringdefault: URL

Video output type.

Allowed values1 value

outputFormat

stringdefault: 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 values3 values

outputQuality

integermin: 20max: 99default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

stringURI

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 more1 resource

deliveryMethod

stringdefault: async

Determines how the API delivers task results.

Allowed values1 value
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more1 resource

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.

Properties2 properties
safety » checkContent

Enable or disable content safety checking.

safety » mode

mode

stringdefault: none

Safety checking mode for video generation.

Allowed values3 values
Disables checking.
Checks key frames.
Checks all frames.

ttl

integermin: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

Include task cost in the response.

numberResults

integermin: 1max: 4default: 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 » frameImages

frameImages

array of strings or objectsmin items: 1max items: 2

An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target position in the video.

The frameImages parameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. Position can be specified using frame (named positions or frame indices) or timestamp (seconds), depending on model support. This is different from referenceImages, which provide overall visual guidance without constraining specific timeline positions.

When the frame parameter is omitted, automatic distribution rules apply:

  • 1 image: Used as the first frame.
  • 2 images: First and last frames.
Examples3 examples

Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.

"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402"
]

Object format: When you need to specify a position, use an object with image and either frame or timestamp (model-dependent).

"frameImages": [
  {
    "image": "aac49721-1964-481a-ae78-8a4e29b91402",
    "frame": "first"
  }
]
First and last frames: With two images, they automatically become the first and last frames of the video sequence. You can mix shorthand and object formats.
"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402",
  {
    "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe",
    "frame": "last"
  }
]
Format 1: string[]
string

Image input (UUID, URL, Data URI, or Base64).

Format 2: object[]2 properties
inputs » frameImages » image

image

stringrequired

Image input (UUID, URL, Data URI, or Base64).

inputs » frameImages » frame

frame

object

Target frame position for the image. Supports first and last frame.

Allowed values4 values
First frame of the video.
Last frame of the video.
Frame index 0 (first frame).
Frame index -1 (last frame).

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: klingai:3@2

Identifier of the model to use for generation.

Learn more3 resources

positivePrompt

stringrequiredmin: 2max: 2500

Text prompt describing elements to include in the generated output.

Learn more1 resource

width

integerrequired*paired with height

Width of the generated media in pixels.

Learn more2 resources

height

integerrequired*paired with width

Height of the generated media in pixels.

Learn more2 resources

duration

floatdefault: 5

Length of the generated video in seconds. The total number of frames produced is determined by duration multiplied by the model's frame rate (fps).

Allowed values2 values

CFGScale

floatmin: 0max: 1step: 0.01default: 0.5

Guidance scale representing how closely the output will resemble the prompt. Higher values produce results more aligned with the prompt.

Learn more1 resource