Kling VIDEO O3 Standard
Kling VIDEO O3 Standard is a cost-efficient version of the O3 generation that produces HD video from text or images with native audio. It balances quality with speed and price, and it supports reference-based generation plus prompt-based video edits that preserve temporal stability across the clip.
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 min items: 1max items: 7 -
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»videovideo
string -
Source video for prompt-based editing. Dimensions and duration match the input video (UUID or URL).
-
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@o3-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
-
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»soundsound
boolean default: false -
Enable native audio generation.
Velvet Ballroom Metamorphosis
{
"taskType": "videoInference",
"taskUUID": "93c0c444-6fda-4264-9703-408495e9cdf5",
"model": "klingai:kling-video@o3-standard",
"positivePrompt": "A cinematic surreal ballroom transformation sequence. Begin from the provided first frame and evolve naturally toward the provided last frame. The camera glides low across the reflective floor, then rises into a graceful arc around the central dancer. Fabric sways with weight and realism, feathers stir and spiral upward, crystal strands fracture into hovering facets, lighting shifts from warm amber to deep indigo and magenta. Emphasize elegant motion, temporal consistency, rich textures, volumetric atmosphere, polished reflections, expressive choreography, and believable environmental transition. Native audio: distant orchestral swell, soft shoe steps, sparkling glass-like chimes, a resonant hall ambience.",
"duration": 8,
"providerSettings": {
"klingai": {
"sound": true
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/d47c604f-d704-4c4f-9469-00453abd692d.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/89829612-af84-4b1d-afa5-35be9a1955e0.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "93c0c444-6fda-4264-9703-408495e9cdf5",
"videoUUID": "8aaef6a4-80cd-4ee3-80da-f1ecef5526e3",
"videoURL": "https://vm.runware.ai/video/os/a03d21/ws/5/vi/8aaef6a4-80cd-4ee3-80da-f1ecef5526e3.mp4",
"cost": 0.896
}Moonlit Icebound Harbor Ritual
{
"taskType": "videoInference",
"taskUUID": "44fe4289-8287-45b8-ae11-543ac3143ee9",
"model": "klingai:kling-video@o3-standard",
"positivePrompt": "Transform the source video into a mystical frozen harbor gathering under a huge pale moon. Keep the original dock layout, boat positions, camera movement, and human blocking, but restyle the scene as a poetic winter rite. Thin ice drifts between the pilings, ropes creak, frost glitters on wood, and the townspeople wear layered wool capes and carved bone masks. One elder traces glowing chalk symbols on the dock planks while others stand in a semicircle, their reflections trembling in the black water. Distant mountain silhouettes and low cloud bands frame the bay. Cinematic realism, richly textured cold atmosphere, subtle breath vapor, natural body motion, coherent reflections, detailed water physics, soft moon haze, restrained color palette of silver, charcoal, and faint blue. Native ambient harbor audio mood with creaking timber, gentle water slaps, muffled footsteps, and low communal humming.",
"inputs": {
"video": "https://assets.runware.ai/assets/inputs/afb88a85-70f2-4598-814c-8ed3c62e735a.mp4"
}
}{
"taskType": "videoInference",
"taskUUID": "44fe4289-8287-45b8-ae11-543ac3143ee9",
"videoUUID": "e0e701e4-1d58-42ba-93cc-75160f7c1c40",
"videoURL": "https://vm.runware.ai/video/os/a11d13/ws/5/vi/e0e701e4-1d58-42ba-93cc-75160f7c1c40.mp4",
"cost": 0.756
}Windblown Carnival Wheatfield Procession
{
"taskType": "videoInference",
"taskUUID": "e25c9720-bd25-4a44-b051-c0cb66333afa",
"model": "klingai:kling-video@o3-standard",
"positivePrompt": "A surreal traveling procession crossing a vast golden wheatfield at late afternoon, led by a towering handmade parade puppet shaped like a heron with patchwork canvas wings and painted wooden joints. Around it, performers in mismatched vintage fair costumes walk on stilts, pull ribboned carts, and spin oversized pinwheels that catch the wind. The camera begins low among the wheat heads, then rises into a smooth cinematic tracking shot beside the procession, revealing rolling farmland, distant windmills, and a pale turquoise sky streaked with warm clouds. Strong gusts ripple through the grain in waves, fabrics snap and flutter, dust lifts from the dirt path, and the giant puppet sways with believable weight. Naturalistic motion, dynamic depth, highly detailed textures, expressive faces, whimsical handcrafted design, lively but grounded atmosphere, crisp HD realism with a storybook edge, immersive ambient sound of wind, creaking wood, rustling wheat, footsteps, soft cheers, and spinning pinwheels.",
"width": 1280,
"height": 720,
"duration": 8,
"providerSettings": {
"klingai": {
"sound": true
}
}
}{
"taskType": "videoInference",
"taskUUID": "e25c9720-bd25-4a44-b051-c0cb66333afa",
"videoUUID": "f1bf7711-48ab-4d73-8069-9f4189d75fac",
"videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/f1bf7711-48ab-4d73-8069-9f4189d75fac.mp4",
"cost": 0.896
}Tidal Station Glass Concourse
{
"taskType": "videoInference",
"taskUUID": "b3bd5742-049a-43ab-b9ed-69804f0d6675",
"model": "klingai:kling-video@o3-standard",
"width": 1280,
"height": 720,
"duration": 9,
"providerSettings": {
"klingai": {
"sound": true,
"multiPrompt": [
{
"prompt": "A vast glass-roofed transit concourse built inside a tidal power station, dawn haze filtering through curved panes, shallow seawater channels flowing beneath transparent walkways, commuters in sculptural waterproof fashion, reflective floors, cinematic realism, slow forward dolly, crisp environmental detail, soft echoing footsteps and distant turbine hum",
"duration": 3
},
{
"prompt": "The camera glides closer as a maintenance drone skims low over the water channels, sending ripples of reflected light across steel ribs and traveler faces, a child pauses to watch silver fish in the current below the glass, subtle spray in the air, richly textured materials, immersive natural motion, layered station ambience",
"duration": 3
},
{
"prompt": "A tide surge passes through the station's energy gates beyond the windows, casting shifting bands of light across the concourse as departure signals glow and the crowd resumes motion in elegant streams, wide cinematic finish, atmospheric realism, resonant machinery, water rush, footsteps, murmured voices",
"duration": 3
}
]
}
}
}{
"taskType": "videoInference",
"taskUUID": "b3bd5742-049a-43ab-b9ed-69804f0d6675",
"videoUUID": "3743d598-dac4-4495-90ee-8fe4ff0038f4",
"videoURL": "https://vm.runware.ai/video/os/a07d11/ws/5/vi/3743d598-dac4-4495-90ee-8fe4ff0038f4.mp4",
"cost": 1.008
}Orbital Greenhouse Tea Ceremony
{
"taskType": "videoInference",
"taskUUID": "fbbc6bf0-5260-46ae-b5ae-29e84af4a22e",
"model": "klingai:kling-video@o3-standard",
"positivePrompt": "Using the provided first frame as the opening composition, create a tranquil cinematic scene in an orbital greenhouse above a blue planet. The host gently pours tea into small cups while leaves sway subtly in circulating air, tiny droplets shimmer on nearby foliage, and sunlight slowly glides across the curved glass dome. Preserve the design, character identity, and layout from the input image. Add delicate steam from the cup, soft fabric movement, faint reflections moving across metal beams, and a slow elegant camera drift that enhances depth without changing the setting. Natural ambient audio: low ventilation hum, soft ceramic clinks, light leaf rustle, distant structural creaks, and a peaceful atmospheric tone. Ultra-detailed, realistic lighting, stable motion, refined cinematic texture.",
"duration": 5,
"providerSettings": {
"klingai": {
"sound": true
}
},
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/4a3714d4-0583-49de-ac37-3cd14e112623.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "fbbc6bf0-5260-46ae-b5ae-29e84af4a22e",
"videoUUID": "4cda311c-98eb-476a-ae64-7a3f1bffb15c",
"videoURL": "https://vm.runware.ai/video/os/a09d21/ws/5/vi/4cda311c-98eb-476a-ae64-7a3f1bffb15c.mp4",
"cost": 0.56
}Sunlit Desert Fossil Cathedral
{
"taskType": "videoInference",
"taskUUID": "74293221-49b4-432d-9d97-fcdbc7510c6f",
"model": "klingai:kling-video@o3-standard",
"positivePrompt": "Epic cinematic expedition crossing an ancient desert shaped by gigantic fossil skeletons rising like cathedral vaults from the sand. Blend the environment from the first reference image with the travelers and pack animal from the second reference image. The camera begins low near fractured ground and scattered bones, then glides forward beneath immense vertebrae arches as dust swirls in shafts of sunlight. The caravan advances steadily, fabric banners fluttering, hooves pressing into powdery sand, tiny avalanches slipping from fossil ridges. Heat shimmer softens the horizon while distant birds circle overhead. Realistic textures, grand scale, rich depth, dramatic natural lighting, immersive atmosphere, coherent motion, cinematic composition, subtle airborne grit, high detail, majestic adventurous mood, natural environmental sound with footsteps, harness creaks, cloth movement, desert wind, and faint calls of circling birds.",
"width": 1280,
"height": 720,
"duration": 8,
"providerSettings": {
"klingai": {
"sound": true
}
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/05f4a15e-886b-4971-af9a-c226dd99f98c.jpg",
"https://assets.runware.ai/assets/inputs/27ca19ec-ce95-47c6-8192-4fd7e97f4e7d.jpg"
]
}
}{
"taskType": "videoInference",
"taskUUID": "74293221-49b4-432d-9d97-fcdbc7510c6f",
"videoUUID": "c56563bc-1551-43f8-8c3e-e816938ad86d",
"videoURL": "https://vm.runware.ai/video/os/a19d05/ws/5/vi/c56563bc-1551-43f8-8c3e-e816938ad86d.mp4",
"cost": 0.896
}