The Kling 3.0 series models API is now fully available
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Overview
Quick Start
Changelog
API Reference
General Info
Rate Limits
Callback Schema
Video Generation
Models
Video Omni
Text to Video
Image to Video
Reference to Video
Motion Control
Multi-elements to video
Extend Video
Lip Sync
Avatar
Text to Audio
Video to Audio
Text to Speech
Voice Clone
Image Recognize
Element
Effects
Effect Templates
NEW
Video Effects
Image Generation
Models
Image Omni
Image Generation
Reference to Image
Extend Image
AI Multi-Shot
Virtual Try-On
Others
Query user info
Pricing
Billing Info
Prepaid Resource Packs
Protocols
Privacy Policy of API Service
Terms of API Service
API Service Level Agreement
Callback Protocol

As for the Async task（image generation / video generation / virtual try-on），if you actively set the callback_url when you Create Task, the server will actively notify you when the task status changes, and the protocol is as follows:

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{
  "task_id": "string",               // Task ID, generated by the system
  "task_status": "string",           // Task status, Enum values: submitted, processing, succeed, failed
  "task_status_msg": "string",       // Task status information, displaying the failure reason when the task fails (such as triggering the content risk control of the platform, etc.)
  "created_at": 1722769557708,       // Task creation time, Unix timestamp, unit ms
  "updated_at": 1722769557708,       // Task update time, Unix timestamp, unit ms
  "final_unit_deduction": "string",   // The deduction units of task
  "task_info": {                     // Task creation parameters. Detailed information provided by the user during task creation.
    "parent_video": {
      "id": "string",                // Generated video ID; globally unique
      "url": "string",               // URL for generating images (To ensure information security, generated images/videos will be cleared after 30 days. Please make sure to save them promptly.)
      "duration": "string"           // Total duration of the video before continuation, in s
    },
    "external_task_id": "string"     // Customer-defined task ID
  },
  "task_result": {
    "images": [                      // The result of image-related tasks
      {
        "index": int,                // Image Number
        "url": "string"              // URL for generating images, such as: https://h1.inkwai.com/bs2/upload-ylab-stunt/xxx.png (To ensure information security, generated images/videos will be cleared after 30 days. Please make sure to save them promptly.)
      }
    ],
    "videos": [                      // The result of video-related tasks
      {
        "id": "string",              // Generated video ID; globally unique
        "url": "string",             // URL for generating videos (To ensure information security, generated images/videos will be cleared after 30 days. Please make sure to save them promptly.)
        "duration": "string"         // Total video duration, unit: s (seconds)
      }
    ]
  }
}
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The Kling 3.0 Series Models API is Now Fully Available
– All in One, One for All！

Models Available in This Release

Kling 3.0 Motion Control, Kling Video 3.0, Kling Video 3.0 Omni, Kling Image 3.0, Kling Image 3.0 Omni

Refer to <Kling AI Series 3.0 Model API Specification>

Key Highlights of the Models

3.0 All-in-One: A unified model for multi-modal input and output.

Most powerful consistency across the universe: Subject consistency (supports cameo, subject with voice control, i2v + subject) and text consistency.
Narrative control at your fingertips: More freedom, precision, and control—up to 15 seconds long, video scene cuts, ultra-high-definition storyboards/images, custom seconds.
Upgraded native audio-visual output: Supports multiple speakers and languages (with accents).

Kling 3.0 Motion Control

Consistent Facial Identity from any angle
Complex Emotions faithfully reproduced
High fidelity Restoration, Even with Face Occlusions
Consistent Facial Clarity Across Dynamic Framing

User Guide ->

Kling Video 3.0

Compared to 2.6, expected improvements:

Supports subject upload in I2V scenarios for enhanced consistency
Significant improvement in multi-character referencing, especially for three-person scenarios
Supports Japanese, Korean, and Spanish in addition to Chinese and English
Capable of generating certain dialects and accents
Better distinction and control over different types of audio (speech, sound effects, BGM)
Improved text retention in I2V scenarios
Supports scene transitions, with up to 6 shots and customizable storyboarding

User Guide ->

Kling Video 3.0 Omni

Compared to O1, expected improvements:

Native audio-visual synchronization
Supports video subject creation
Further improved consistency in reference-based tasks, especially for characters and products
Combined capabilities of reference + storyboarding + audio-visual sync significantly enhance usability
Supports scene transitions, with up to 6 shots
Extended generation duration up to 15 seconds

User Guide ->

Kling Image 3.0

Highly consistent feature retention
Precise response to detail modifications
Accurate control over style and tone
Rich imaginative capabilities

User Guide ->

Kling Image 3.0 Omni

Enhanced narrative sense
New storyboard image set generation, retaining reference image features with scene relevance
Direct output of 2K/4K ultra-high-definition images
Further improved detail consistency

User Guide ->

Thank you for your support and understanding!

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