KlingAI 2.5 Turbo Pro
KlingAI 2.5 Turbo Pro is a high performance video generation model for cinematic work. It converts prompts or stills into smooth 1080p clips with strong motion, precise camera control and tight prompt adherence. Ideal for creative tools, ads, trailers and sports scenes.
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»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).
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: klingai:6@1 -
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
integer paired with height -
Width of the generated media in pixels.
Learn more 2 resources
-
height
integer paired with width -
Height of the generated media in pixels.
Learn more 2 resources
-
duration
float 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).
Allowed values 2 values
-
CFGScale
float min: 0 max: 1 step: 0.01 default: 0.5 -
Guidance scale representing how closely the output will resemble the prompt. Higher values produce results more aligned with the prompt.
Learn more 1 resource
Abandoned Hyperloop Terminal Chase
{
"taskType": "videoInference",
"taskUUID": "1bbab86a-244b-4f2a-a16b-867238f56065",
"model": "klingai:6@1",
"positivePrompt": "A tense cinematic pursuit through an abandoned hyperloop terminal reclaimed by wild greenery and drifting paper debris. A courier in a copper emergency suit sprints across cracked boarding platforms while two compact security drones weave between hanging direction signs. The camera begins with a low tracking shot behind the runner, then arcs sideways as the courier vaults a broken turnstile, slides under a fallen display panel, and leaps onto a dormant train carriage. Dust motes swirl through shafts of harsh afternoon light from fractured skylights. In the background, giant route maps flicker erratically, escalators twitch, and vines wrap around sleek old transit architecture. Emphasize smooth realistic body motion, convincing momentum, subtle lens breathing, parallax from pillars rushing past, and a dramatic final push-in as the courier reaches the edge of the platform and the drones close in. High-detail cinematic sci-fi, grounded realism, crisp textures, controlled motion blur, polished trailer-like composition.",
"negativePrompt": "low detail, jittery motion, flickering faces, warped anatomy, extra limbs, duplicate character, blurry background, cartoon style, text artifacts, watermark, logo, oversaturated colors, shaky camera, poor lighting, deformed drones",
"width": 1280,
"height": 720,
"duration": 5,
"CFGScale": 0.72
}{
"taskType": "videoInference",
"taskUUID": "1bbab86a-244b-4f2a-a16b-867238f56065",
"videoUUID": "cb8cfd0e-ec4f-4d62-b4e4-86b787d0b5a0",
"videoURL": "https://vm.runware.ai/video/os/a10d08/ws/5/vi/cb8cfd0e-ec4f-4d62-b4e4-86b787d0b5a0.mp4",
"seed": 923927480,
"cost": 0.35
}Glacial Basilica Transformation Sequence
{
"taskType": "videoInference",
"taskUUID": "ed9a939c-1d77-4767-a24e-66a5be049ed0",
"model": "klingai:6@1",
"positivePrompt": "A sweeping cinematic transition through a monumental ice-carved basilica as winter gives way to radiant crystalline renewal. Start in brittle frozen stillness with fine snow dust and hanging frost splinters, then introduce subtle cracking textures, curling vapor, trickling meltwater along the aisle, refracted light growing warmer and brighter, crystal surfaces blooming from the ice, shimmering reflections across the floor, tiny drifting particles catching the light. Camera performs a slow forward glide with slight parallax from pillars and arches, maintaining the grand central composition and the lone white-cloaked figure as visual anchor. Motion is elegant, realistic, and continuous, with strong environmental transformation, rich depth, and polished cinematic lighting.",
"negativePrompt": "text, watermark, logo, low detail, blurry, jittery camera, flicker, duplicate figure, deformed architecture, abrupt morphing, inconsistent layout, extra people, oversaturated colors, flat lighting, noisy image, warped perspective",
"width": 1280,
"height": 720,
"duration": 10,
"CFGScale": 0.7,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/7a723eb1-3e53-4876-b27a-770592d51b81.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/1cb85824-9e46-4851-8f69-394c0c7a2e49.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "ed9a939c-1d77-4767-a24e-66a5be049ed0",
"videoUUID": "67a2c53c-0913-4129-ad27-969aed015a4e",
"videoURL": "https://vm.runware.ai/video/os/a08d21/ws/5/vi/67a2c53c-0913-4129-ad27-969aed015a4e.mp4",
"seed": 1635167960,
"cost": 0.7
}Wind-Torn Cliffside Sprint
{
"taskType": "videoInference",
"taskUUID": "9045b2eb-9a14-4a96-b5c0-1ba0e2c3e896",
"model": "klingai:6@1",
"positivePrompt": "Starting from the provided first frame, create a cinematic chase sequence on a rugged seaside cliff. The courier runs hard along the edge while the camera tracks low and slightly ahead, then arcs sideways to reveal the vast ocean below. Strong wind whips the coat, grass, ribbons, and hair. Pebbles scatter underfoot, gulls burst into the air, and waves crash against dark rocks far beneath. Keep the glowing brass capsule satchel clearly visible as the hero element. Naturalistic motion, dramatic storm-break lighting, realistic textures, high detail, smooth camera movement, tense adventurous mood, premium trailer-style cinematography.",
"negativePrompt": "cartoon, anime, low detail, blurry, shaky camera, warped anatomy, duplicate person, extra limbs, distorted face, flicker, jitter, oversaturated colors, text, watermark, logo",
"width": 1280,
"height": 720,
"duration": 5,
"CFGScale": 0.5,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/0f72e039-c4d6-479e-b9c0-fb0e65702f6c.jpg",
"frame": "first"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "9045b2eb-9a14-4a96-b5c0-1ba0e2c3e896",
"videoUUID": "73c5a86d-dffe-4806-94f2-05d6bbb58576",
"videoURL": "https://vm.runware.ai/video/os/a24d12/ws/5/vi/73c5a86d-dffe-4806-94f2-05d6bbb58576.mp4",
"seed": 2057933519,
"cost": 0.35
}Abandoned Arcade Metamorphosis Sequence
{
"taskType": "videoInference",
"taskUUID": "d4565600-0a76-47ed-a976-8db699ad02ea",
"model": "klingai:6@1",
"positivePrompt": "Create a smooth cinematic transition through a forgotten arcade hall as time and imagination reshape the space. Begin with a dusty abandoned gaming hall with silent cabinets, broken ceiling panels, floating dust and long shafts of afternoon light. The camera performs a slow forward dolly down the central aisle with subtle handheld realism, passing close to cabinet edges for parallax. As the shot progresses, wires sway, paper tickets lift into the air, screens flicker awake one by one, reflections spread across the floor, vines rapidly curl around machines, and the room transforms into a strange lush wonderland. End on the reclaimed version of the same composition with shallow water, vivid greenery, luminous monitor glow, and a bright opening overhead. Strong motion continuity, precise object correspondence, atmospheric depth, cinematic lighting, realistic textures, polished trailer quality.",
"negativePrompt": "low resolution, jittery camera, warped geometry, duplicated cabinets, extra objects, text overlays, logos, people, animals, heavy blur, flicker, abrupt cuts, oversaturated skin tones, cartoon style, inconsistent layout",
"width": 1280,
"height": 720,
"duration": 10,
"CFGScale": 0.68,
"inputs": {
"frameImages": [
{
"image": "https://assets.runware.ai/assets/inputs/199020ef-498a-4e7e-b135-4bc52127274d.jpg",
"frame": "first"
},
{
"image": "https://assets.runware.ai/assets/inputs/0895080f-f727-43af-aa42-1e04927cc25c.jpg",
"frame": "last"
}
]
}
}{
"taskType": "videoInference",
"taskUUID": "d4565600-0a76-47ed-a976-8db699ad02ea",
"videoUUID": "5163979c-cb42-4e6f-8e94-e8eeaecc1423",
"videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/5163979c-cb42-4e6f-8e94-e8eeaecc1423.mp4",
"seed": 235056159,
"cost": 0.7
}