kling-v2.6-pro-image-to-video

POST

/openapi/v2/kling-v2.6-pro/image-to-video

Kling 2.6 Audio Image-to-Video elevates static frames into immersive cinematic clips through joint audio-video co-generation. By using an input image as the anchor, it synthesizes realistic motion alongside synchronized soundscapes—including character voices, ambient noise, and SFX—in a single pass. This model ensures perfect alignment between on-screen movements and auditory timing, providing a streamlined, all-in-one solution for creators seeking high-fidelity storytelling, product explainers, and professional-grade social media content.

Request

Authorization

Header Params

Body Params application/jsonRequired

Example

{
    "prompt": "Based on the source image, the character begins playing the wooden cello with rhythmic, fluid bowing movements. The camera performs a slow, cinematic zoom-in on the character's face. Audio: A deep, resonant cello melody that perfectly matches the bowing speed. Ambient sounds of a quiet, echoing concert hall and the subtle creaking of the wooden chair. Near the end, the character looks at the camera and says clearly, \"The harmony is complete,\" with precise lip-sync and a calm, professional tone.",
    "imageUrl": "https://www.runninghub.cn/view?filename=5d515bc447214c23370cba03423e2aca8a331622abfdaac3c3d26b9f540b3c72.jpg&type=input&subfolder=&Rh-Comfy-Auth=eyJ1c2VySWQiOiIzZjY1MTNlNWEwNjY1N2I4OGYyNjU5NTEzYmU3ZDM0YyIsInNpZ25FeHBpcmUiOjE3Njk0MDE0MDU0NjYsInRzIjoxNzY4Nzk2NjA1NDY2LCJzaWduIjoiMDdmMzllYjI5ODQ1ODM3MDA0Yjk4MTM5MDI0MGEyM2MifQ==&Rh-Identify=3f6513e5a06657b88f2659513be7d34c&rand=0.9452073327357562",
    "sound": "true",
    "duration": "5"
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://www.runninghub.ai/openapi/v2/kling-v2.6-pro/image-to-video' \
--header 'Authorization: Bearer [Your API KEY]' \
--header 'Authorization: Bearer [Your API KEY]' \
--header 'Content-Type: application/json' \
--data-raw '{
    "prompt": "Based on the source image, the character begins playing the wooden cello with rhythmic, fluid bowing movements. The camera performs a slow, cinematic zoom-in on the character'\''s face. Audio: A deep, resonant cello melody that perfectly matches the bowing speed. Ambient sounds of a quiet, echoing concert hall and the subtle creaking of the wooden chair. Near the end, the character looks at the camera and says clearly, \"The harmony is complete,\" with precise lip-sync and a calm, professional tone.",
    "imageUrl": "https://www.runninghub.cn/view?filename=5d515bc447214c23370cba03423e2aca8a331622abfdaac3c3d26b9f540b3c72.jpg&type=input&subfolder=&Rh-Comfy-Auth=eyJ1c2VySWQiOiIzZjY1MTNlNWEwNjY1N2I4OGYyNjU5NTEzYmU3ZDM0YyIsInNpZ25FeHBpcmUiOjE3Njk0MDE0MDU0NjYsInRzIjoxNzY4Nzk2NjA1NDY2LCJzaWduIjoiMDdmMzllYjI5ODQ1ODM3MDA0Yjk4MTM5MDI0MGEyM2MifQ==&Rh-Identify=3f6513e5a06657b88f2659513be7d34c&rand=0.9452073327357562",
    "sound": "true",
    "duration": "5"
}'

Responses

🟢200成功

application/json

Task result query endpoint: /openapi/v2/query

Body

Examples

Submit response exampleTask success response example

{
    "taskId": "2013508786110730241",
    "status": "RUNNING",
    "errorCode": "",
    "errorMessage": "",
    "results": null,
    "clientId": "f828b9af25161bc066ef152db7b29ccc",
    "promptTips": "{\"result\": true, \"error\": null, \"outputs_to_execute\": [\"4\"], \"node_errors\": {}}"
}

Modified at 2026-03-24 12:00:02

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