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

Kling 2.6 Std Image-to-Video turns a single reference image into a dynamic video clip with natural motion and optional synchronized sound. It supports prompt guidance, negative prompts, duration control, and audio generation while preserving the key visual identity of the input frame. Compared with pro mode, std mode is optimized for faster, cost-effective production workflows such as social content, concept previews, and batch creative generation.

Request

Authorization

Header Params

Body Params application/jsonRequired

Example

{
    "prompt": "Bring the tiny orange kitten race car scene to life. Keep a low-angle macro tracking shot as the kitten, wearing aviator goggles and a red scarf, drives a micro race car made of carrots and bamboo leaves, racing across a kitchen countertop in the warm morning sunlight. The wheels spin rapidly, kicking up fine flour dust, while sunlight passing through a glass creates shimmering rainbow flares.  The kitten skillfully drifts around a rolling blueberry ahead, the car sliding slightly sideways as its scarf and whiskers flutter in the wind. Then the race car uses the open cookbook as a ramp and launches into the air. The shot briefly enters slow motion, showing the kitten’s surprised yet excited expression, the wheels spinning midair, and tiny flour particles floating in the light. After landing, the car rushes into a small puddle of honey; the tires briefly skid and fling golden honey droplets before quickly regaining control. Finally, it stops steadily in front of a pancake. The kitten proudly takes off its goggles and winks at the camera.  Keep the character, race car, kitchen countertop, blueberry, honey, cookbook, and pancake consistent with the reference image. Emphasize realistic physics, smooth camera movement, subtle facial expressions, rich material textures, dynamic lighting and shadows, and a cinematic feel. Warm and bright visual style, shallow depth of field, lively and playful pacing.",
    "negativePrompt": "Do not change the main character’s identity, do not add extra characters, no flickering, no severe deformation, no text or watermark, no low resolution, no sudden scene changes.",
    "imageUrl": "https://www.runninghub.cn/view?filename=4a6e6373434a5c70126858acd64fb69344b663853527e0915051d44ab2e4f692.png&type=input&subfolder=&Rh-Comfy-Auth=eyJ1c2VySWQiOiI0YTQ5NDlkMGI2MGExODBlYjgwZGNhZWZmYmJlNzUwZSIsInNpZ25FeHBpcmUiOjE3ODI2OTM4MTI0NDAsInRzIjoxNzgyMDg5MDEyNDQwLCJzaWduIjoiNGI0ODM2ZTJmMDMzNTI4YTgxYWI1OGNiMDNjMTc4NzYifQ==&Rh-Identify=4a4949d0b60a180eb80dcaeffbbe750e&rand=0.010422554197496159",
    "duration": "5"
}

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location 'https://www.runninghub.ai/openapi/v2/kling-v2.6-std/image-to-video' \
--header 'Authorization: Bearer [Your API KEY]' \
--header 'Content-Type: application/json' \
--data '{
    "prompt": "Bring the tiny orange kitten race car scene to life. Keep a low-angle macro tracking shot as the kitten, wearing aviator goggles and a red scarf, drives a micro race car made of carrots and bamboo leaves, racing across a kitchen countertop in the warm morning sunlight. The wheels spin rapidly, kicking up fine flour dust, while sunlight passing through a glass creates shimmering rainbow flares.  The kitten skillfully drifts around a rolling blueberry ahead, the car sliding slightly sideways as its scarf and whiskers flutter in the wind. Then the race car uses the open cookbook as a ramp and launches into the air. The shot briefly enters slow motion, showing the kitten’s surprised yet excited expression, the wheels spinning midair, and tiny flour particles floating in the light. After landing, the car rushes into a small puddle of honey; the tires briefly skid and fling golden honey droplets before quickly regaining control. Finally, it stops steadily in front of a pancake. The kitten proudly takes off its goggles and winks at the camera.  Keep the character, race car, kitchen countertop, blueberry, honey, cookbook, and pancake consistent with the reference image. Emphasize realistic physics, smooth camera movement, subtle facial expressions, rich material textures, dynamic lighting and shadows, and a cinematic feel. Warm and bright visual style, shallow depth of field, lively and playful pacing.",
    "negativePrompt": "Do not change the main character’s identity, do not add extra characters, no flickering, no severe deformation, no text or watermark, no low resolution, no sudden scene changes.",
    "imageUrl": "https://www.runninghub.cn/view?filename=4a6e6373434a5c70126858acd64fb69344b663853527e0915051d44ab2e4f692.png&type=input&subfolder=&Rh-Comfy-Auth=eyJ1c2VySWQiOiI0YTQ5NDlkMGI2MGExODBlYjgwZGNhZWZmYmJlNzUwZSIsInNpZ25FeHBpcmUiOjE3ODI2OTM4MTI0NDAsInRzIjoxNzgyMDg5MDEyNDQwLCJzaWduIjoiNGI0ODM2ZTJmMDMzNTI4YTgxYWI1OGNiMDNjMTc4NzYifQ==&Rh-Identify=4a4949d0b60a180eb80dcaeffbbe750e&rand=0.010422554197496159",
    "duration": "5"
}'

Responses

🟢200成功

application/json

Task result query endpoint: /openapi/v2/query

Bodyapplication/json

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\": {}}"
}