The Kling 3.0 series models API is now fully available Learn More Get Started 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 Virtual Try-On Create Task POST /v1/images/kolors-virtual-try-on cURL Copy Collapse curl --request POST \ --url https://api-singapore.klingai.com/v1/images/kolors-virtual-try-on \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' \ --data '{ "model_name": "kolors-virtual-try-on-v1-5", "human_image": "https://p1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/tryon-human.webp", "cloth_image": "https://p1-kling.klingai.com/kcdn/cdn-kcdn112452/kling-qa-test/suite.webp", "callback_url": "", "external_task_id": "" }' 200 Copy Collapse { "code": 0, // Error codes; specific definitions see Error codes "message": "string", // Error information "request_id": "string", // Request ID, generated by the system, for tracking and troubleshooting "data": { "task_id": "string", // Task ID, generated by the system "task_status": "string", // Task status: submitted, processing, succeed, failed "created_at": 1722769557708, // Task creation time, Unix timestamp, ms "updated_at": 1722769557708 // Task update time, Unix timestamp, ms } } Request Header Content-Type string Required Default to application/json Data Exchange Format Authorization string Required Authentication information, refer to API authentication Request Body model_name string Optional Default to kolors-virtual-try-on-v1 Model Name Enum values： kolors-virtual-try-on-v1 kolors-virtual-try-on-v1-5 human_image string Required Reference human Image Supports inputting image Base64 encoding or image URL (ensure accessibility) Important: When using Base64, do NOT add any prefix like data:image/png;base64,. Submit only the raw Base64 string. Correct Base64 format: iVBORw0KGgoAAAANSUhEUgAAAAUA... Incorrect Base64 format (with data: prefix): data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUA... Supported image formats: .jpg / .jpeg / .png The image file size cannot exceed 10MB, and the width and height dimensions of the image shall not be less than 300px cloth_image string Required Reference clothing image Support uploading clothing product images or clothing image with white background; Supports single clothing (upper, lower, and dress) try-on Supports inputting image Base64 encoding or image URL (ensure accessibility) Base64 Encoding Note: Please note, if you use the Base64 method, make sure all image data parameters you pass are in Base64 encoding format. When using Base64, do NOT add any prefix like data:image/png;base64,. Only provide the Base64-encoded string. Correct: iVBORw0KGgoAAAANSUhEUgAAAAUA... Incorrect: data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAUA... Supported image formats: .jpg / .jpeg / .png File size: ≤10MB, dimensions: min 300px The kolors-virtual-try-on-v1-5 model not only supports single clothing input, but also supports "upper + lower" combination input: Input a single clothing image (upper, lower, or dress) → Generate a try-on image of the single item Input a combination clothing image (merge multiple items into one image with white background): "upper + lower" → Success "upper + upper" → Fails "lower + lower" → Fails "dress + dress" → Fails "upper + dress" → Fails "lower + dress" → Fails callback_url string Optional The callback notification address for the result of this task. If configured, the server will actively notify when the task status changes. For the specific message schema, see Callback Protocol external_task_id string Optional Customized Task ID Will not overwrite system-generated task ID, but supports querying task by this ID Please note that the customized task ID must be unique within a single user account. Query Task (Single) GET /v1/images/kolors-virtual-try-on/{id} cURL Copy Collapse curl --request GET \ --url https://api-singapore.klingai.com/v1/images/kolors-virtual-try-on/{id} \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' 200 Copy Collapse { "code": 0, // Error codes; specific definitions see Error codes "message": "string", // Error information "request_id": "string", // Request ID, generated by the system, for tracking and troubleshooting "data": { "task_id": "string", // Task ID, generated by the system "task_status": "string", // Task status: submitted, processing, succeed, failed "task_status_msg": "string", // Task status information, displaying the failure reason when the task fails (e.g. content risk control) "final_unit_deduction": "string", // The deduction units of task "created_at": 1722769557708, // Task creation time, Unix timestamp, ms "updated_at": 1722769557708, // Task update time, Unix timestamp, ms "task_info": { // Task creation parameters "external_task_id": "string" // Customer-defined task ID }, "task_result": { "images": [ { "index": 0, // Image Number "url": "string" // URL for generating images (To ensure information security, generated images/videos will be cleared after 30 days. Please save them promptly.) } ] } } } Request Header Content-Type string Required Default to application/json Data Exchange Format Authorization string Required Authentication information, refer to API authentication Path Parameters id string Required Task ID for virtual try-on. Request path parameter, directly fill the value in the request path. external_task_id string Optional Customized Task ID for audio generation The external_task_id filled in when creating the task. You can choose to query by external_task_id or task_id When creating a task, you can choose to query by external_task_id or task_id. Query Task (List) GET /v1/images/kolors-virtual-try-on cURL Copy Collapse curl --request GET \ --url 'https://api-singapore.klingai.com/v1/images/kolors-virtual-try-on?pageNum=1&pageSize=30' \ --header 'Authorization: Bearer ' \ --header 'Content-Type: application/json' 200 Copy Collapse { "code": 0, // Error codes; specific definitions see Error codes "message": "string", // Error information "request_id": "string", // Request ID, generated by the system, for tracking and troubleshooting "data": [ { "task_id": "string", // Task ID, generated by the system "task_status": "string", // Task status: submitted, processing, succeed, failed "task_status_msg": "string", // Task status information, displaying the failure reason when the task fails (e.g. content risk control) "final_unit_deduction": "string", // The deduction units of task "created_at": 1722769557708, // Task creation time, Unix timestamp, ms "updated_at": 1722769557708, // Task update time, Unix timestamp, ms "task_info": { // Task creation parameters "external_task_id": "string" // Customer-defined task ID }, "task_result": { "images": [ { "index": 0, // Image Number "url": "string" // URL for generating images (To ensure information security, generated images/videos will be cleared after 30 days. Please save them promptly.) } ] } } ] } Request Header Content-Type string Required Default to application/json Data Exchange Format Authorization string Required Authentication information, refer to API authentication Query Parameters pageNum int Optional Default to 1 Page number Value range: [1, 1000] pageSize int Optional Default to 30 Data volume per page Value range: [1, 500] Previous chapter：AI Multi-Shot Next chapter：Query user info Create Task Query Task (Single) Query Task (List) 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 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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