Kling VIDEO 3.0 Standard
Kling VIDEO 3.0 Standard generates synchronized video and audio from text and images with a balance of quality, speed, and cost. It supports reference-based generation and prompt-driven edits while maintaining temporal stability and clear motion. Native audio output includes dialogue and ambient sound that aligns with the visual content.
API Options
Platform-level options for task execution and delivery.
-
taskType
string required value: videoInference -
Identifier for the type of task being performed
-
taskUUID
string required UUID v4 -
UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
-
outputType
string default: URL -
Video output type.
Allowed values 1 value
-
outputFormat
string default: MP4 -
Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `MP4`: Widely supported video container (H.264), recommended for general use.
- `WEBM`: Optimized for web delivery.
- `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values 3 values
-
outputQuality
integer min: 20 max: 99 default: 95 -
Compression quality of the output. Higher values preserve quality but increase file size.
-
webhookURL
string URI -
Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more 1 resource
- Webhooks PLATFORM
- Webhooks
-
deliveryMethod
string default: async -
Determines how the API delivers task results.
Allowed values 1 value
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more 1 resource
- Task Polling PLATFORM
-
uploadEndpoint
string URI -
Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
-
safety
object -
Content safety checking configuration for video generation.
Properties 2 properties
-
safety»checkContentcheckContent
boolean default: false -
Enable or disable content safety checking. When enabled, defaults to
fastmode.
-
safety»modemode
string default: none -
Safety checking mode for video generation.
Allowed values 3 values
- Disables checking.
- Checks key frames.
- Checks all frames.
-
-
ttl
integer min: 60 -
Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
-
includeCost
boolean default: false -
Include task cost in the response.
-
numberResults
integer min: 1 max: 4 default: 1 -
Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.-
inputs»referenceImagesreferenceImages
array of strings items: 1 -
List of reference images (UUID, URL, Data URI, or Base64).
-
inputs»frameImagesframeImages
array of strings or objects min items: 1max items: 2 -
An array of frame-specific image inputs to guide video generation. Each item can be either a plain image input (UUID, URL, Data URI, or Base64) or an object that pairs an image with a target frame position.
The
frameImagesparameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. This is different fromreferenceImages, which provide overall visual guidance without constraining specific timeline positions.When the
frameparameter is omitted, automatic distribution rules apply:- 1 image: Used as the first frame.
- 2 images: First and last frames.
Examples 3 examples
Shorthand format: When you don't need to specify a frame position, you can pass a plain image input directly.
"frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402" ]Object format: When you need to specify a frame position, use an object with
imageandframe.First and last frames: With two images, they automatically become the first and last frames of the video sequence. You can mix shorthand and object formats."frameImages": [ { "image": "aac49721-1964-481a-ae78-8a4e29b91402", "frame": "first" } ]"frameImages": [ "aac49721-1964-481a-ae78-8a4e29b91402", { "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe", "frame": "last" } ]Format 1: string[]
-
Image input (UUID, URL, Data URI, or Base64).
Format 2: object[] 2 properties
-
inputs»frameImages»imageimage
string required -
Image input (UUID, URL, Data URI, or Base64).
-
inputs»frameImages»frameframe
object -
Target frame position for the image. Supports first and last frame.
Allowed values 4 values
- First frame of the video.
- Last frame of the video.
- Frame index 0 (first frame).
- Frame index -1 (last frame).
-
inputs»referenceVideosreferenceVideos
array of strings items: 1 -
List of reference videos (UUID, URL).
-
inputs»elementselements
array of objects min items: 1max items: 3 -
Elements allow you to include reusable assets (images, videos, or voices) in your video generation. Each element is identified by an
idand can be referenced in the prompt using<<<element_1>>>,<<<element_2>>>, etc. in order of appearance.An element can contain:
- Images via
frontalImageand optionallyimages(up to 3 additional angles). - Videos via
videos(cannot be combined with images). - Voices via
voices(can only be combined with images, not videos).
Examples 2 examples
Create a new element with an image:
"positivePrompt": "A video of <<<element_1>>> walking through a futuristic city", "inputs": { "elements": [ { "id": "my-character-id", "description": "A young woman with red hair", "frontalImage": "c64351d5-4c59-42f7-95e1-eace013eddab", "tags": ["Character"] } ] }Reuse a previously created element by ID:
"positivePrompt": "A video of <<<element_1>>> sitting in a coffee shop, reading a book", "inputs": { "elements": [ { "id": "my-character-id" } ] }Properties 7 properties
-
inputs»elements»idid
string required -
Unique identifier for this element. Use to create a new element or reference a previously created one.
-
inputs»elements»descriptiondescription
string -
Description of the element.
-
inputs»elements»frontalImagefrontalImage
string -
Frontal reference image for the element. Required when using image-based elements.
-
inputs»elements»imagesimages
array of strings min items: 1max items: 3 -
Reference images for the element. Up to 3 images. Requires frontalImage.
-
inputs»elements»videosvideos
array of strings items: 1 -
Reference video for the element. Cannot be combined with images or voices.
-
inputs»elements»voicesvoices
array of strings items: 1 -
Voice audio for the element. Can only be combined with images, not videos.
-
inputs»elements»tagstags
array of strings min items: 1 -
Classification tags for the element.
- Images via
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: klingai:kling-video@3-standard -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string required min: 2 max: 2500 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
negativePrompt
string min: 2 max: 2500 -
Prompt to guide what to exclude from generation. Ignored when guidance is disabled (CFGScale ≤ 1).
Learn more 1 resource
-
Width of the generated media in pixels.
Learn more 2 resources
-
Height of the generated media in pixels.
Learn more 2 resources
-
duration
integer min: 3 max: 15 step: 1 default: 5 -
Length of the generated video in seconds. The total number of frames produced is determined by duration multiplied by the model's frame rate (fps).
Provider Settings
Parameters specific to this model provider. These must be nested inside the providerSettings.klingai object.
providerSettings.klingai object.-
providerSettings»klingai»characterOrientationcharacterOrientation
string -
Source for character orientation reference.
Allowed values 2 values
- Match orientation from the reference image.
- Match orientation from the reference video.
-
providerSettings»klingai»keepOriginalSoundkeepOriginalSound
boolean default: false -
Maintain the original sound from the reference video.
-
providerSettings»klingai»multiPromptmultiPrompt
array of objects max items: 6 -
Sequential prompt segments for multi-shot generation. The sum of all segment durations must equal the root-level duration.
-
providerSettings»klingai»shotTypeshotType
string value: intelligence -
The type of shot to generate.
-
providerSettings»klingai»soundsound
boolean default: false -
Enable native audio generation.
Deserted Funfair Dawn Glide
{
"taskType": "videoInference",
"taskUUID": "236ba4b9-e789-4ff4-8fa9-7ca57ab56210",
"model": "klingai:kling-video@3-standard",
"positivePrompt": "Begin at the deserted entrance of a worn traveling funfair at daybreak and move forward through the grounds toward the central plaza. Paper tickets skitter across the dirt, tent flaps ripple in a light breeze, loose bulbs sway on hanging cables, dust drifts through slanting sunlight, and the Ferris wheel ahead gradually starts turning. Maintain strong continuity between the first and last frame images, with a smooth dolly-like camera move, natural object motion, grounded realism, cinematic atmosphere, and synchronized ambient sound such as creaking metal, fluttering canvas, distant ride machinery, and soft wind.",
"negativePrompt": "crowds, performers, horror creatures, fantasy elements, extreme motion blur, warped geometry, duplicated objects, text overlays, logos, watermarks",
"duration": 5,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/d95b9905-2228-44b4-9576-9fc523234d31.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/39667ae2-9b5a-432e-8022-fdb220eddcc9.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "236ba4b9-e789-4ff4-8fa9-7ca57ab56210",
"videoUUID": "3bb8018c-a5d6-4c42-aa78-451941d3109a",
"videoURL": "https://vm.runware.ai/video/os/a20d05/ws/5/vi/3bb8018c-a5d6-4c42-aa78-451941d3109a.mp4",
"cost": 0.42
}Wind-Carved Desert Relay
{
"taskType": "videoInference",
"taskUUID": "c118b804-25df-4918-bce2-10324dd723b5",
"model": "klingai:kling-video@3-standard",
"positivePrompt": "Transform the provided first-frame image into a cinematic desert chase across white gypsum dunes. The lone courier rides diagonally through towering wind-shaped ridges while the camera begins low and slightly behind, then arcs outward into a sweeping side track. Hooves kick up pale dust, the scarf snaps sharply in the gusts, the satchel bounces against the saddle, and tiny avalanches of sand slide down the ridge faces. Add realistic environmental audio: rushing wind over open terrain, rhythmic hoofbeats, leather creaks, distant shifting grit, no music. Maintain the subject identity and overall composition from the input image while adding strong forward motion, believable physics, temporal stability, and rich landscape depth.",
"negativePrompt": "crowd, city, buildings, water, vegetation, extra riders, futuristic machinery, text, subtitles, logos, jitter, warped anatomy, duplicated limbs, deformed horse, flicker, low detail, oversaturated colors",
"duration": 6,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/76a43503-71a6-49d1-b117-f43124e4f215.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "c118b804-25df-4918-bce2-10324dd723b5",
"videoUUID": "714c4ed1-d5f8-4fb8-8458-76600cafd14a",
"videoURL": "https://vm.runware.ai/video/os/a14d18/ws/5/vi/714c4ed1-d5f8-4fb8-8458-76600cafd14a.mp4",
"cost": 0.504
}Rainy Neon Alley Pursuit
{
"taskType": "videoInference",
"taskUUID": "4042c650-df67-4267-9bbb-97be76f1481c",
"model": "klingai:kling-video@3-standard",
"positivePrompt": "A tense futuristic alley in heavy rain at night, glossy pavement reflecting vivid neon signage, steam bursting from wall vents, hanging cables swaying overhead. A nimble courier in a weathered cobalt jacket sprints through the narrow lane clutching a glowing data capsule while two compact security drones weave behind, scanning with red beams. The camera begins low near puddles, then tracks alongside the runner, splashes flying toward the lens, passing stacked crates, flickering kanji signs, and shuttered food stalls. Midway, the courier vaults over a barrier, slides under a half-closed gate, and emerges into a brighter cross-lane filled with mist and electric reflections. Dynamic cinematic lighting, crisp motion, realistic rain interaction, detailed urban textures, dramatic depth, coherent anatomy, stable scene continuity. Native audio: pounding footsteps through water, drone rotor whine, distant sirens, buzzing signs, rain hitting metal, breathless exertion, no music.",
"negativePrompt": "blurry subject, warped limbs, extra arms, duplicate character, broken drone shapes, jittery motion, low detail, washed out lighting, text overlays, watermark, logo, frozen action, camera shake overload, crowd clutter, daylight, sunny weather",
"width": 1280,
"height": 720,
"duration": 8
}{
"taskType": "videoInference",
"taskUUID": "4042c650-df67-4267-9bbb-97be76f1481c",
"videoUUID": "a18f6723-89c2-4416-b73c-87c590e5d591",
"videoURL": "https://vm.runware.ai/video/os/a21d05/ws/5/vi/a18f6723-89c2-4416-b73c-87c590e5d591.mp4",
"cost": 0.672
}Abandoned Ice Rink Reverie
{
"taskType": "videoInference",
"taskUUID": "469312a4-782f-442c-aaa7-7b0625ea6cb0",
"model": "klingai:kling-video@3-standard",
"positivePrompt": "Using the provided first-frame image as the opening shot, create a graceful cinematic sequence in a neglected frozen arena overtaken by winter and creeping greenery. The lone skater slowly pushes forward from stillness, carving elegant arcs across the ice while loose frost skims behind the blades. Camera begins in a wide steady view, then glides closer in a gentle curved tracking move. Dusty sunbeams shift through cracked overhead glass, faint mist curls near the surface, suspended vines sway slightly, tiny ice crystals sparkle, old banners tremble in the draft. The skater performs one smooth spin and a controlled stop, breathing visible in the cold air. Emphasize realistic body mechanics, temporal consistency, subtle environmental motion, and rich synchronized audio: blade scrapes, soft echoing arena ambience, distant creaks, light wind through broken panes, no music, no dialogue.",
"negativePrompt": "low detail, jittery motion, warped anatomy, extra limbs, duplicated person, crowd, modern busy venue, flashy neon lighting, cartoon style, oversaturated colors, abrupt cuts, heavy motion blur, text, watermark, logo",
"duration": 8,
"providerSettings": {
"klingai": {}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/3b620576-72c0-4501-809a-81ae94c257ae.jpg"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "469312a4-782f-442c-aaa7-7b0625ea6cb0",
"videoUUID": "5c8f03af-7867-4fe3-8787-207af8ecda8c",
"videoURL": "https://vm.runware.ai/video/os/a20d05/ws/5/vi/5c8f03af-7867-4fe3-8787-207af8ecda8c.mp4",
"cost": 0.672
}