---
title: Kling VIDEO O1 Standard | Runware Docs
url: https://runware.ai/docs/models/klingai-video-o1-standard
description: Unified multimodal video generation and editing model
---
# Kling VIDEO O1 Standard

Kling VIDEO O1 Standard is a unified multimodal video model for controllable generation and instruction-based editing. It supports text prompts, image references, and video input to enable precise control over motion, transitions, object changes, and visual adjustments within short-form video workflows.

- **ID**: `klingai:kling@o1-standard`
- **Status**: api-only
- **Creator**: Kling AI
- **Release Date**: December 1, 2025
- **Capabilities**: Text to Video, Image to Video, Video to Video

## Pricing

- **720p · T2V · 1s**: `$0.084`
- **720p · I2V · 1s**: `$0.084`
- **720p · R2V · 1s**: `$0.126`

## Compatibility & Validation

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

---

When `inputs.frameImages` is provided, `duration` is limited to `5`, `10`.

---

When `inputs.referenceImages` or `inputs.referenceVideos` is provided, `inputs.referenceImages` is limited to 7 items and `duration` must be between `3` and `10`.

---

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

---

`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-o1-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-o1-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-o1-standard#request-outputtype)

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

Video output type.

**Allowed values**: `URL`

### [outputFormat](https://runware.ai/docs/models/klingai-video-o1-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-o1-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-o1-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-o1-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-o1-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-o1-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-o1-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-o1-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-o1-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-o1-standard#request-includecost)

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

Include task cost in the response.

### [numberResults](https://runware.ai/docs/models/klingai-video-o1-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-o1-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-o1-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-o1-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-o1-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-o1-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-o1-standard#request-inputs-referencevideos)

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

List of reference videos (UUID, URL).

**Generation Parameters**

Core parameters for controlling the generated content.

### [model](https://runware.ai/docs/models/klingai-video-o1-standard#request-model)

- **Type**: `string`
- **Required**: true
- **Value**: `klingai:kling@o1-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-o1-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-o1-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-o1-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-o1-standard#request-duration)

- **Type**: `integer`
- **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.

### [keepOriginalSound](https://runware.ai/docs/models/klingai-video-o1-standard#request-providersettings-klingai-keeporiginalsound)

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

Maintain the original sound from the reference video.

## Response Parameters

### [taskType](https://runware.ai/docs/models/klingai-video-o1-standard#response-tasktype)

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

Type of the task.

### [taskUUID](https://runware.ai/docs/models/klingai-video-o1-standard#response-taskuuid)

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

UUID of the task.

### [videoUUID](https://runware.ai/docs/models/klingai-video-o1-standard#response-videouuid)

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

UUID of the output video.

### [videoURL](https://runware.ai/docs/models/klingai-video-o1-standard#response-videourl)

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

URL of the output video.

### [videoBase64Data](https://runware.ai/docs/models/klingai-video-o1-standard#response-videobase64data)

- **Type**: `string`

Base64-encoded video data.

### [videoDataURI](https://runware.ai/docs/models/klingai-video-o1-standard#response-videodatauri)

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

Data URI of the output video.

### [seed](https://runware.ai/docs/models/klingai-video-o1-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-o1-standard#response-nsfwcontent)

- **Type**: `boolean`

Flag indicating if NSFW content was detected.

### [cost](https://runware.ai/docs/models/klingai-video-o1-standard#response-cost)

- **Type**: `float`

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

## Examples

### Kinetic Brass Diver Tableau (Video to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/2606ff22-e06b-4e60-83e4-f224bd602248.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "a0ef9c47-2117-4749-863d-426e7732faf1",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Transform the reference performance into a surreal cinematic underwater opera scene: a vintage copper diving suit performer moves with the same choreography and orientation as the source video, carrying a gleaming brass tuba that catches shafts of teal light. The stage becomes a flooded grand hall with drifting velvet banners, cracked marble columns, suspended air bubbles, tiny silver fish circling in rhythm, and a distant audience of empty gilded seats fading into blue haze. Preserve the timing, body direction, and motion flow from the reference video. Emphasize elegant cloth and bubble dynamics, metallic reflections, volumetric light, rich texture, and smooth camera coherence. Dreamlike, majestic, strange, high-detail, premium cinematic grading.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "providerSettings": {
    "klingai": {
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/77ac92dc-d935-4f57-bbeb-9f36873d2eee.mp4"
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "a0ef9c47-2117-4749-863d-426e7732faf1",
  "videoUUID": "76290230-9f26-4aa2-adeb-bd5a88e5ddc0",
  "videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/76290230-9f26-4aa2-adeb-bd5a88e5ddc0.mp4",
  "cost": 0.63
}
```

---

### Amber Tram Through Canyons (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/ccee6069-6974-46e1-bde7-da8863bd720e.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "00bee739-4833-4cb3-bf7e-cf86db863d4a",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A vintage amber tram glides across a narrow bridge suspended between vast red sandstone canyons in late afternoon light. The camera begins close to the tram and slowly pulls back and rises, revealing layered canyon depth, drifting dust, fluttering birds, and sunlight grazing the rock faces. Subtle wheel vibration, gentle cable sway, and realistic environmental motion. Rich cinematic texture, natural colors, grand scale, smooth movement, coherent geometry, immersive atmosphere.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/f113e8c4-7788-4be3-b450-1ebd0a01fff1.jpg",
        "frame": "first"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "00bee739-4833-4cb3-bf7e-cf86db863d4a",
  "videoUUID": "6d48e371-0ff2-402a-8c46-85449a7ef51c",
  "videoURL": "https://vm.runware.ai/video/os/a03d21/ws/5/vi/6d48e371-0ff2-402a-8c46-85449a7ef51c.mp4",
  "cost": 0.42
}
```

---

### Sunken Library Whale Passage (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/60e24754-34e0-471d-8753-ae4c19e88fb0.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "05695f4b-8b42-4fe5-b698-771eec530d38",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A cinematic underwater sequence inside a vast ruined library where a giant whale glides between towering shelves and floating ladders. Loose pages spiral softly around it, rays of green-gold light descend from shattered ceiling panels, and the camera moves slowly forward with gentle parallax. Emphasize majestic scale, drifting debris, rich atmospheric depth, realistic fluid motion, delicate cloth and paper movement, and a poetic dreamlike tone. Blend realistic animal movement with painterly color styling, ending on a wide awe-filled composition.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/4340f0f2-91d6-464b-a06a-c8774ddb67c3.jpg",
      "https://assets.runware.ai/assets/inputs/72f8431b-e7b5-44e7-9f6d-9709561d15f6.jpg",
      "https://assets.runware.ai/assets/inputs/b151154a-9271-42f1-9b33-ff8c70c22f3f.jpg"
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "05695f4b-8b42-4fe5-b698-771eec530d38",
  "videoUUID": "35080935-656d-4ac5-8015-3938f74a840c",
  "videoURL": "https://vm.runware.ai/video/os/a25d05/ws/5/vi/35080935-656d-4ac5-8015-3938f74a840c.mp4",
  "cost": 0.42
}
```

---

### Antique Tram Snowglobe Metamorphosis (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/a86aa12f-8487-4581-ac34-50b3725cc198.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "5762e0a4-1587-4239-83b5-e6be8f1a9a38",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Create a cinematic transformation shot that begins matching the first frame exactly: an antique red tram resting on cobblestones in a quiet old European street at dawn. The camera glides forward slowly at street level as tiny hints of unreality emerge: frost tracing elegant patterns on the tram windows, drifting flakes gathering in circular motion, reflections bending softly in the glass. Midway through the shot, the environment transitions into wonder as a transparent spherical structure forms around the tram, streetlights brighten, pedestrians pause and turn, and the swirling snow intensifies inside the sphere. End by matching the last frame exactly: the tram fully enclosed within a giant snowglobe in the middle of the square. Preserve consistent architecture, tram design, and composition across the transition. Highly detailed, atmospheric, seamless motion, realistic lighting, magical but grounded tone.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/0a989d1f-4f06-46d3-918a-2f29eac0d476.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/a6ba4d13-154f-4c9c-a625-d6c22bf0323a.jpg",
        "frame": "last"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "5762e0a4-1587-4239-83b5-e6be8f1a9a38",
  "videoUUID": "9781e0fc-3cb8-425a-874e-4ce5310084e0",
  "videoURL": "https://vm.runware.ai/video/os/a25d05/ws/5/vi/9781e0fc-3cb8-425a-874e-4ce5310084e0.mp4",
  "cost": 0.42
}
```

---

### Salt-Flat Caravan Mirage (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/72943f8f-4162-4a63-8967-3e18a59a95a7.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "79c5196e-e2ac-425d-a258-13d80b4c4f35",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A solitary traveler guides a whimsical caravan wagon across a vast reflective salt flat during late afternoon. The scene feels expansive and otherworldly yet grounded in realism: shimmering heat haze, rippling reflections under the wheels, cloth wraps fluttering in dry wind, tiny glass charms swaying from the wagon canopy, drifting dust trails, and slow cinematic camera movement that begins wide and eases closer. Emphasize coherent fusion of the three references into one world: the traveler, the salt-flat environment, and the handcrafted caravan design. Natural lighting, mirage distortions on the horizon, subtle lens compression, elegant motion, high-detail textures, immersive atmospheric depth, poetic travel mood, realistic cinematography.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/075a4bab-01fe-4fb4-9dc0-20e1b34629a8.jpg",
      "https://assets.runware.ai/assets/inputs/09ce2d52-1486-488c-880d-e997d7ad8e4e.jpg",
      "https://assets.runware.ai/assets/inputs/2c4e6dbb-161d-4864-8615-38eb8a3adf94.jpg"
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "79c5196e-e2ac-425d-a258-13d80b4c4f35",
  "videoUUID": "c97e6090-5840-4fa2-8ec0-7833072ff9cb",
  "videoURL": "https://vm.runware.ai/video/os/a08d21/ws/5/vi/c97e6090-5840-4fa2-8ec0-7833072ff9cb.mp4",
  "cost": 0.42
}
```

---

### Abandoned Planetarium Dust Spiral (Image to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/0654ad59-99f2-4fba-b2cf-e3ea589fca04.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "81f701b5-98e6-4c36-939b-ec5b9c440f4a",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Animate from the provided first frame into a moody cinematic shot inside a neglected planetarium. The camera slowly glides forward and slightly arcs around the central star projector as loose paper charts lift and circle in a gentle vortex. Dust thickens in the light beams, tiny metal rings tremble, hanging mechanisms sway subtly, and the atmosphere feels hushed and immense. Emphasize realistic motion, layered depth, rich textures, soft particulate movement, and elegant transitions that preserve the structure and styling of the input image.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/654658af-f409-4e3f-b7d1-404cb7b2c879.jpg",
        "frame": "first"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "81f701b5-98e6-4c36-939b-ec5b9c440f4a",
  "videoUUID": "b240f0e1-be22-4a6d-aa66-debdd5ec8362",
  "videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/b240f0e1-be22-4a6d-aa66-debdd5ec8362.mp4",
  "cost": 0.42
}
```

---

### Abandoned Greenhouse Orbit Drift (Video to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/f94814e9-85d6-49c2-bd4e-d0a78f2ba7bc.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "366d2e00-2941-4163-b7a7-4ec835fed9f9",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Transform the source footage into a cinematic near-future scene inside a forgotten orbital greenhouse adrift in space. Preserve the original camera path and scene layout, but replace the outside view beyond the broken glass with a slow-moving starfield and the curved edge of a distant blue planet. Make leaves, loose soil, droplets of water, seed packets, and small gardening tools drift softly in zero gravity. Add shafts of pale sunlight crossing through fractured panes, subtle floating pollen, and occasional lens glints. Keep the greenhouse structure aged and realistic with oxidized metal frames, tangled roots, and neglected planters, but give the atmosphere a serene scientific wonder. Natural motion, high detail, believable physics, cinematic depth, soft contrast, realistic textures.",
  "providerSettings": {
    "klingai": {
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/104fbb02-e409-40ee-a6f7-e8b901d2955b.mp4"
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "366d2e00-2941-4163-b7a7-4ec835fed9f9",
  "videoUUID": "dd72f6d2-dbbb-4978-bd19-58b05bfcc9bf",
  "videoURL": "https://vm.runware.ai/video/os/a11d13/ws/5/vi/dd72f6d2-dbbb-4978-bd19-58b05bfcc9bf.mp4",
  "cost": 0.756
}
```

---

### Harbor Fog Lantern Passage (Text to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/8f0c4b33-75a5-4ef1-9937-40d2eca035ba.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "2413a352-0531-40a9-851c-48f702291c75",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A smooth cinematic transition between the provided first and last frames. Begin in a cold foggy industrial harbor with still water, dock ropes, cranes and quiet tugboats. The camera glides forward slowly along the waterfront as the scene subtly evolves: fog thins and curls, reflections stretch, dock lights awaken one by one, warehouse facades soften, small wooden boats appear, and hanging lanterns gradually illuminate the passage. End in a richly atmospheric blue-hour canal setting with warm lantern reflections rippling across the water. Natural motion, realistic lighting, detailed textures, gentle parallax, coherent environment continuity, immersive film look.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/85f49f42-e17b-4542-88ff-696286938683.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/949b97d8-7475-4142-9733-ae4ff52b4a1d.jpg",
        "frame": "last"
      }
    ]
  }
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "2413a352-0531-40a9-851c-48f702291c75",
  "videoUUID": "96e584f1-2f05-4f0a-94b8-8235d15bd324",
  "videoURL": "https://vm.runware.ai/video/os/a08d21/ws/5/vi/96e584f1-2f05-4f0a-94b8-8235d15bd324.mp4",
  "cost": 0.42
}
```

---

### Windy Cliffside Violin Solo (Text to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/2805842c-d505-4082-8eb1-60f0c0c0c7d3.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "762dd057-ddbc-4d3f-8afa-b2feb8f078de",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A cinematic wide shot on a rugged green cliff above a stormy northern sea at blue hour. A young violinist in a long charcoal coat stands near the edge on dark wet stone, performing with intense focus while powerful coastal wind whips loose hair and fabric. The camera begins low behind swaying grass, then glides in a smooth arc to reveal crashing waves, white spray, distant sea stacks, and flocks of pale birds turning in the sky. Subtle breath in the cold air, realistic hand and bow movement, natural body balance against gusts, expressive face, dramatic clouds opening to a band of amber light at the horizon. Highly detailed cinematic realism, dynamic environmental motion, layered depth, believable physics, refined lighting, elegant camera movement.",
  "width": 1280,
  "height": 720,
  "duration": 5
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "762dd057-ddbc-4d3f-8afa-b2feb8f078de",
  "videoUUID": "8ed05afc-fd5a-40b4-b6ea-a33e053a0090",
  "videoURL": "https://vm.runware.ai/video/os/a22d05/ws/5/vi/8ed05afc-fd5a-40b4-b6ea-a33e053a0090.mp4",
  "cost": 0.42
}
```

---

### Amber Canopy Tram Ascent (Text to Video)

[Watch video](https://assets.runware.ai/examples/klingai-video-o1-standard/04d00d03-4ffa-4a35-949e-6be959f50b6f.mp4)

**Request**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "44fd6137-67dc-424f-97f2-99566c5252eb",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A cinematic aerial-to-tracking shot of a vintage glass-sided tram suspended on cables, ascending through an immense mountain forest at peak autumn color. Golden and copper leaves swirl across the frame as the camera begins wide above the treetops, then eases closer to follow alongside the tram. Below, layered pines and bright deciduous trees form a rich patchwork canopy; in the distance, narrow waterfalls thread down dark stone ridges and a few rope bridges sway between giant trunks. The tram windows reflect warm sunset light, tiny passengers visible inside. Emphasize natural parallax, graceful cable tension, subtle rocking motion, leaf drift, atmospheric depth, and realistic lighting. Lush, detailed, adventurous, immersive, high-end cinematic realism.",
  "width": 1280,
  "height": 720,
  "duration": 5
}
```

**Response**:

```json
{
  "taskType": "videoInference",
  "taskUUID": "44fd6137-67dc-424f-97f2-99566c5252eb",
  "videoUUID": "5f936a3b-6599-415d-ba9f-021fe41acf9d",
  "videoURL": "https://vm.runware.ai/video/os/a13d12/ws/5/vi/5f936a3b-6599-415d-ba9f-021fe41acf9d.mp4",
  "cost": 0.42
}
```