---
title: Kling VIDEO O3 Standard | Runware Docs
url: https://runware.ai/docs/models/klingai-video-o3-standard
description: Cost-efficient multimodal video generation with native audio and editing
---
# 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.

- **ID**: `klingai:kling-video@o3-standard`
- **Status**: live
- **Creator**: Kling AI
- **Release Date**: February 5, 2026
- **Capabilities**: Text to Video, Image to Video

## Pricing

- **720p · 1s · (no input + no audio)**: `$0.084`
- **720p · 1s · (video input + no audio)**: `$0.126`
- **720p · 1s · (audio + no input)**: `$0.112`

## Compatibility & Validation

Provide exactly one of: `inputs.frameImages` or `width/height`.

---

When `inputs.referenceVideos` is provided, `providerSettings` is required.

---

When `inputs.video` or `inputs.referenceVideos` is provided, `providerSettings` cannot be used.

---

When `inputs.video` is provided, `inputs.elements` cannot be used.

---

When `inputs.video` or `inputs.referenceVideos` is provided, `inputs.referenceImages` is limited to 4 items.

---

When `providerSettings` is provided, `inputs.video` or `inputs.referenceVideos` is required.

---

When `providerSettings` is provided, `inputs.referenceImages` is required.

---

`width` and `height` must be used together.

---

The following dimension combinations are supported:

| Configuration | Dimensions |
| --- | --- |
| `720p (16:9)` | `1280x720` |
| `960p (1:1)` | `960x960` |
| `720p (9:16)` | `720x1280` |

## Request Parameters

**API Options**

Platform-level options for task execution and delivery.

### [taskType](https://runware.ai/docs/models/klingai-video-o3-standard#request-tasktype)

- **Type**: `string`
- **Required**: true
- **Value**: `videoInference`

Identifier for the type of task being performed

### [taskUUID](https://runware.ai/docs/models/klingai-video-o3-standard#request-taskuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

### [outputType](https://runware.ai/docs/models/klingai-video-o3-standard#request-outputtype)

- **Type**: `string`
- **Default**: `URL`

Video output type.

**Allowed values**: `URL`

### [outputFormat](https://runware.ai/docs/models/klingai-video-o3-standard#request-outputformat)

- **Type**: `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**: `MP4` `WEBM` `MOV`

### [outputQuality](https://runware.ai/docs/models/klingai-video-o3-standard#request-outputquality)

- **Type**: `integer`
- **Min**: `20`
- **Max**: `99`
- **Default**: `95`

Compression quality of the output. Higher values preserve quality but increase file size.

### [webhookURL](https://runware.ai/docs/models/klingai-video-o3-standard#request-webhookurl)

- **Type**: `string`
- **Format**: `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](https://runware.ai/docs/platform/webhooks) (platform)

### [deliveryMethod](https://runware.ai/docs/models/klingai-video-o3-standard#request-deliverymethod)

- **Type**: `string`
- **Default**: `async`

Determines how the API delivers task results.

**Allowed values**:

- `async` 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](https://runware.ai/docs/platform/task-polling) (platform)

### [uploadEndpoint](https://runware.ai/docs/models/klingai-video-o3-standard#request-uploadendpoint)

- **Type**: `string`
- **Format**: `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.

```text
// 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.jpg
```

The content data will be sent as the request body to the specified URL when generation is complete.

### [safety](https://runware.ai/docs/models/klingai-video-o3-standard#request-safety)

- **Path**: `safety.checkContent`
- **Type**: `object (2 properties)`

Content safety checking configuration for video generation.

#### [checkContent](https://runware.ai/docs/models/klingai-video-o3-standard#request-safety-checkcontent)

- **Path**: `safety.checkContent`
- **Type**: `boolean`
- **Default**: `false`

Enable or disable content safety checking. When enabled, defaults to `fast` mode.

#### [mode](https://runware.ai/docs/models/klingai-video-o3-standard#request-safety-mode)

- **Path**: `safety.mode`
- **Type**: `string`
- **Default**: `none`

Safety checking mode for video generation.

**Allowed values**:

- `none` Disables checking.
- `fast` Checks key frames.
- `full` Checks all frames.

### [ttl](https://runware.ai/docs/models/klingai-video-o3-standard#request-ttl)

- **Type**: `integer`
- **Min**: `60`

Time-to-live (TTL) in seconds for generated content. Only applies when `outputType` is `URL`.

### [includeCost](https://runware.ai/docs/models/klingai-video-o3-standard#request-includecost)

- **Type**: `boolean`
- **Default**: `false`

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/klingai-video-o3-standard#request-numberresults)

- **Type**: `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.

### [referenceImages](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-referenceimages)

- **Path**: `inputs.referenceImages`
- **Type**: `array of strings`

List of reference images (UUID, URL, Data URI, or Base64).

### [frameImages](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-frameimages)

- **Path**: `inputs.frameImages`
- **Type**: `array of strings or objects`

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 `frameImages` parameter allows you to constrain specific frames within the video sequence, ensuring that particular visual content appears at designated points. This is different from `referenceImages`, which provide overall visual guidance without constraining specific timeline positions.

When the `frame` parameter is omitted, automatic distribution rules apply:

- **1 image**: Used as the first frame.
- **2 images**: First and last frames.

**Examples**:

**Shorthand format:** When you don't need to specify a frame position, you can pass a plain image input directly.

```json
"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402"
]
```

**Object format:** When you need to specify a frame position, use an object with `image` and `frame`.

```json
"frameImages": [
  {
    "image": "aac49721-1964-481a-ae78-8a4e29b91402",
    "frame": "first"
  }
]
```

**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.

```json
"frameImages": [
  "aac49721-1964-481a-ae78-8a4e29b91402",
  {
    "image": "3ad204c3-a9de-4963-8a1a-c3911e3afafe",
    "frame": "last"
  }
]
```

**Format 1: string[]**:

- **Type**: `string`

Image input (UUID, URL, Data URI, or Base64).

**Format 2: object[]**:

#### [image](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-frameimages-format-2-image)

- **Path**: `inputs.frameImages.image`
- **Type**: `string`
- **Required**: true

Image input (UUID, URL, Data URI, or Base64).

#### [frame](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-frameimages-format-2-frame)

- **Path**: `inputs.frameImages.frame`
- **Type**: `object`

Target frame position for the image. Supports first and last frame.

**Allowed values**:

- `first` First frame of the video.
- `last` Last frame of the video.
- `0` Frame index 0 (first frame).
- `-1` Frame index -1 (last frame).

### [video](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-video)

- **Path**: `inputs.video`
- **Type**: `string`

Source video for prompt-based editing. Dimensions and duration match the input video (UUID or URL).

### [referenceVideos](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-referencevideos)

- **Path**: `inputs.referenceVideos`
- **Type**: `array of strings`

List of reference videos (UUID, URL).

### [elements](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements)

- **Path**: `inputs.elements`
- **Type**: `array of objects (7 properties)`

Elements allow you to include reusable assets (images, videos, or voices) in your video generation. Each element is identified by an `id` and can be referenced in the prompt using `<<<element_1>>>`, `<<<element_2>>>`, etc. in order of appearance.

An element can contain:

- **Images** via `frontalImage` and optionally `images` (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**:

**Create a new element with an image:**

```json
"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:**

```json
"positivePrompt": "A video of <<<element_1>>> sitting in a coffee shop, reading a book",
"inputs": {
  "elements": [
    {
      "id": "my-character-id"
    }
  ]
}
```

#### [id](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-id)

- **Path**: `inputs.elements.id`
- **Type**: `string`
- **Required**: true

Unique identifier for this element. Use to create a new element or reference a previously created one.

#### [description](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-description)

- **Path**: `inputs.elements.description`
- **Type**: `string`

Description of the element.

#### [frontalImage](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-frontalimage)

- **Path**: `inputs.elements.frontalImage`
- **Type**: `string`

Frontal reference image for the element. Required when using image-based elements.

#### [images](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-images)

- **Path**: `inputs.elements.images`
- **Type**: `array of strings`

Reference images for the element. Up to 3 images. Requires frontalImage.

#### [videos](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-videos)

- **Path**: `inputs.elements.videos`
- **Type**: `array of strings`

Reference video for the element. Cannot be combined with images or voices.

#### [voices](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-voices)

- **Path**: `inputs.elements.voices`
- **Type**: `array of strings`

Voice audio for the element. Can only be combined with images, not videos.

#### [tags](https://runware.ai/docs/models/klingai-video-o3-standard#request-inputs-elements-tags)

- **Path**: `inputs.elements.tags`
- **Type**: `array of strings`

Classification tags for the element.

**Generation Parameters**

Core parameters for controlling the generated content.

### [model](https://runware.ai/docs/models/klingai-video-o3-standard#request-model)

- **Type**: `string`
- **Required**: true
- **Value**: `klingai:kling-video@o3-standard`

Identifier of the model to use for generation.

**Learn more** (3 resources):

- [Text To Image: Model Selection The Foundation Of Generation](https://runware.ai/docs/guides/text-to-image#model-selection-the-foundation-of-generation) (guide)
- [Image Inpainting: Model Specialized Inpainting Models](https://runware.ai/docs/guides/image-inpainting#model-specialized-inpainting-models) (guide)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/guides/image-outpainting#other-critical-parameters) (guide)

### [positivePrompt](https://runware.ai/docs/models/klingai-video-o3-standard#request-positiveprompt)

- **Type**: `string`
- **Required**: true
- **Min**: `2`
- **Max**: `2500`

Text prompt describing elements to include in the generated output.

**Learn more** (2 resources):

- [Text To Image: Prompts Guiding The Generation](https://runware.ai/docs/guides/text-to-image#prompts-guiding-the-generation) (guide)
- [Image Outpainting: Other Critical Parameters](https://runware.ai/docs/guides/image-outpainting#other-critical-parameters) (guide)

### [width](https://runware.ai/docs/models/klingai-video-o3-standard#request-width)

- **Type**: `integer`
- **Required**: true
- **Paired with**: height

Width of the generated media in pixels.

**Learn more** (2 resources):

- [Image To Image: Dimensions Changing Aspect Ratio](https://runware.ai/docs/guides/image-to-image#dimensions-changing-aspect-ratio) (guide)
- [Image Outpainting: Dimensions Critical For Outpainting](https://runware.ai/docs/guides/image-outpainting#dimensions-critical-for-outpainting) (guide)

### [height](https://runware.ai/docs/models/klingai-video-o3-standard#request-height)

- **Type**: `integer`
- **Required**: true
- **Paired with**: width

Height of the generated media in pixels.

**Learn more** (2 resources):

- [Image To Image: Dimensions Changing Aspect Ratio](https://runware.ai/docs/guides/image-to-image#dimensions-changing-aspect-ratio) (guide)
- [Image Outpainting: Dimensions Critical For Outpainting](https://runware.ai/docs/guides/image-outpainting#dimensions-critical-for-outpainting) (guide)

### [duration](https://runware.ai/docs/models/klingai-video-o3-standard#request-duration)

- **Type**: `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.

### [characterOrientation](https://runware.ai/docs/models/klingai-video-o3-standard#request-providersettings-klingai-characterorientation)

- **Path**: `providerSettings.klingai.characterOrientation`
- **Type**: `string`

Source for character orientation reference.

**Allowed values**:

- `image` Match orientation from the reference image.
- `video` Match orientation from the reference video.

### [keepOriginalSound](https://runware.ai/docs/models/klingai-video-o3-standard#request-providersettings-klingai-keeporiginalsound)

- **Path**: `providerSettings.klingai.keepOriginalSound`
- **Type**: `boolean`
- **Default**: `false`

Maintain the original sound from the reference video.

### [multiPrompt](https://runware.ai/docs/models/klingai-video-o3-standard#request-providersettings-klingai-multiprompt)

- **Path**: `providerSettings.klingai.multiPrompt`
- **Type**: `array of objects (2 properties)`

Sequential prompt segments for multi-shot generation. The sum of all segment durations must equal the root-level duration.

#### [prompt](https://runware.ai/docs/models/klingai-video-o3-standard#request-providersettings-klingai-multiprompt-prompt)

- **Path**: `providerSettings.klingai.multiPrompt.prompt`
- **Type**: `string`
- **Required**: true
- **Min**: `2`
- **Max**: `2500`

Text prompt describing the content for this segment.

#### [duration](https://runware.ai/docs/models/klingai-video-o3-standard#request-providersettings-klingai-multiprompt-duration)

- **Path**: `providerSettings.klingai.multiPrompt.duration`
- **Type**: `integer`
- **Required**: true
- **Min**: `1`

Duration in seconds for this segment.

### [sound](https://runware.ai/docs/models/klingai-video-o3-standard#request-providersettings-klingai-sound)

- **Path**: `providerSettings.klingai.sound`
- **Type**: `boolean`
- **Default**: `false`

Enable native audio generation.

## Response Parameters

### [taskType](https://runware.ai/docs/models/klingai-video-o3-standard#response-tasktype)

- **Type**: `string`
- **Required**: true
- **Value**: `videoInference`

Type of the task.

### [taskUUID](https://runware.ai/docs/models/klingai-video-o3-standard#response-taskuuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID of the task.

### [videoUUID](https://runware.ai/docs/models/klingai-video-o3-standard#response-videouuid)

- **Type**: `string`
- **Required**: true
- **Format**: `UUID v4`

UUID of the output video.

### [videoURL](https://runware.ai/docs/models/klingai-video-o3-standard#response-videourl)

- **Type**: `string`
- **Format**: `URI`

URL of the output video.

### [videoBase64Data](https://runware.ai/docs/models/klingai-video-o3-standard#response-videobase64data)

- **Type**: `string`

Base64-encoded video data.

### [videoDataURI](https://runware.ai/docs/models/klingai-video-o3-standard#response-videodatauri)

- **Type**: `string`
- **Format**: `URI`

Data URI of the output video.

### [seed](https://runware.ai/docs/models/klingai-video-o3-standard#response-seed)

- **Type**: `integer`

The seed used for generation. If none was provided, shows the randomly generated seed.

### [NSFWContent](https://runware.ai/docs/models/klingai-video-o3-standard#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

### [cost](https://runware.ai/docs/models/klingai-video-o3-standard#response-cost)

- **Type**: `float`

Task cost in USD. Present when `includeCost` is set to `true` in the request.

## Examples

### Velvet Ballroom Metamorphosis (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o3-standard/010c9296-7edd-45d3-84ca-55c7fefe312d.mp4)

**Request**:

```json
{
  "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"
      }
    ]
  }
}
```

**Response**:

```json
{
  "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 (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o3-standard/391c6a89-5899-403e-a724-c670162b7a82.mp4)

**Request**:

```json
{
  "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"
  }
}
```

**Response**:

```json
{
  "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 (Text to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o3-standard/c627de4c-2843-4384-b75a-b7a62004202e.mp4)

**Request**:

```json
{
  "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
    }
  }
}
```

**Response**:

```json
{
  "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 (Text to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o3-standard/964a0988-6ed3-4030-803d-b0b21fab261b.mp4)

**Request**:

```json
{
  "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
        }
      ]
    }
  }
}
```

**Response**:

```json
{
  "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 (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o3-standard/84d45bb1-c841-4aa6-9d6b-9abb8c316594.mp4)

**Request**:

```json
{
  "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"
      }
    ]
  }
}
```

**Response**:

```json
{
  "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 (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o3-standard/45e62cf1-d662-4fe4-992f-31b8cb2f0e77.mp4)

**Request**:

```json
{
  "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"
    ]
  }
}
```

**Response**:

```json
{
  "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
}
```