## Basic model info - Model name: kling/kling kling-v2.6-pro - Model description: Kling 2.6 Pro: Top-tier text-to-video with cinematic visuals, fluid motion, and native audio generation. - Endpoint name: image-to-video ## Model schema The model schema is defined in the OpenAPI schema: [OpenAPI Schema](https://oapi.sunra.ai/main/kling/kling-v2.6-pro/latest.json) ### Model input schema The model input schema is: ```json { "description": "Input model for image-to-video generation.", "properties": { "prompt": { "description": "Text prompt for video generation. Reference voices with <<>> and <<>>.", "maxLength": 2500, "title": "Prompt", "type": "string", "x-sr-order": 201 }, "negative_prompt": { "anyOf": [ { "maxLength": 2500, "type": "string" }, { "type": "null" } ], "default": "blur, distort, and low quality", "description": "Negative prompt to specify what you do not want in the generated video", "title": "Negative Prompt", "x-sr-order": 203 }, "duration": { "default": "5", "description": "Duration of the video in seconds", "enum": [ "5", "10" ], "title": "Duration", "type": "string", "x-sr-order": 402 }, "end_image_url": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "description": "URL of the end frame image. Max 10MB, min 300x300px, aspect ratio 0.40-2.50", "title": "End Image Url", "x-sr-order": 302 }, "generate_audio": { "default": true, "description": "Whether to generate native audio for the video", "title": "Generate Audio", "type": "boolean", "x-sr-order": 403 }, "start_image_url": { "description": "URL of the start image. Max 10MB, min 300x300px, aspect ratio 0.40-2.50", "title": "Start Image Url", "type": "string", "x-sr-order": 301 }, "voice_ids": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "description": "Voice IDs for audio generation (max 2). Reference in prompt with <<>> and <<>>.", "title": "Voice Ids", "x-sr-order": 404 } }, "required": [ "prompt", "start_image_url" ], "title": "ImageToVideoInput", "type": "object" } ``` ### Model output schema The model output schema is: ```json { "properties": { "video": { "properties": { "content_type": { "description": "The mime type of the file.", "title": "Content Type", "type": "string" }, "file_name": { "description": "The name of the file. It will be auto-generated if not provided.", "title": "File Name", "type": "string" }, "file_size": { "description": "The size of the file in bytes.", "title": "File Size", "type": "integer" }, "url": { "description": "The URL where the file can be downloaded from.", "title": "Url", "type": "string" } }, "required": [ "content_type", "file_name", "file_size", "url" ], "title": "SunraFile", "type": "object" } }, "required": [ "video" ], "title": "VideoOutput", "type": "object" } ``` ## Example inputs and outputs Use the following example inputs and outputs to understand the model. ### Input example ```json { "prompt": "", "negative_prompt": "blur, distort, and low quality", "duration": "5", "end_image_url": null, "generate_audio": true, "start_image_url": "", "voice_ids": null } ``` ### Output example ```json { } ``` ## Model code examples ### JavaScript ```javascript import { sunra } from "@sunra/client"; const result = await sunra.subscribe("kling/kling-v2.6-pro/image-to-video", { input: { prompt: '', start_image_url: '', end_image_url: null, negative_prompt: 'blur, distort, and low quality', duration: '5', generate_audio: true, voice_ids: null }, logs: true, onQueueUpdate: (update) => { console.log(`Status Update: ${update.status}, Request ID: ${update.request_id}`); }, }); console.log(result.data); console.log(result.requestId); ``` ### Python ```python import sunra_client result = sunra_client.subscribe( "kling/kling-v2.6-pro/image-to-video", arguments={ "prompt": "", "start_image_url": "", "end_image_url": None, "negative_prompt": "blur, distort, and low quality", "duration": "5", "generate_audio": True, "voice_ids": None }, with_logs=True, on_enqueue=print, on_queue_update=print, ) print(result) ``` ### Java ```java import ai.sunra.client.*; import java.util.Map; import com.google.gson.JsonObject; var client = SunraClient.withEnvCredentials(); var response = client.subscribe( "kling/kling-v2.6-pro/image-to-video", SubscribeOptions.builder() .input(Map.of( "prompt", "", "start_image_url", "", "end_image_url", null, "negative_prompt", "blur, distort, and low quality", "duration", "5", "generate_audio", true, "voice_ids", null)) .resultType(JsonObject.class) .onQueueUpdate(update -> System.out.printf( "\nStatus Update: %s, Request ID: %s%n", update.getStatus(), update.getRequestId() )) .logs(true) .build() ); System.out.println("Completed!"); System.out.println(response.getData()); ``` ### Kotlin ```kotlin import ai.sunra.client.kt.* import com.google.gson.JsonObject val client = createSunraClient() val response = client.subscribe( endpointId = "kling/kling-v2.6-pro/image-to-video", input = mapOf( "prompt" to "", "start_image_url" to "", "end_image_url" to null, "negative_prompt" to "blur, distort, and low quality", "duration" to "5", "generate_audio" to true, "voice_ids" to null), options = ai.sunra.client.kt.SubscribeOptions(logs = true), onUpdate = { update -> println("\nStatus Update: ${update.status}, Request ID: ${update.requestId}") } ) println("Completed!") println(response.data) ``` ### Curl ```bash curl --request POST \ --url https://api.sunra.ai/v1/queue/kling/kling-v2.6-pro/image-to-video \ --header "Authorization: Key $SUNRA_KEY" \ --header "Content-Type: application/json" \ --data '{"prompt":"","start_image_url":"","end_image_url":null,"negative_prompt":"blur, distort, and low quality","duration":"5","generate_audio":true,"voice_ids":null}' ``` ## Model readme >