MODEL IDklingai:2@1
live

KlingAI 1.5 Standard

Kling AI
by Kling AI

KlingAI 1.5 Standard converts reference images into short HD video clips. It targets fast generation with improved temporal consistency and sharper details. Ideal for developers who need cost effective image to video rendering in automated content or creative tools.

KlingAI 1.5 Standard
Image to Video

Windmill Lighthouse on Basalt

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'klingai:2@1',
  width: 1280,
  height: 720,
  duration: 5,
  CFGScale: 0.64,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/52d0ccaf-3bc3-49aa-92eb-680a0caabb06.jpg',
        frame: 'first'
      }
    ]
  }
})
import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "klingai:2@1",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "CFGScale": 0.64,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/52d0ccaf-3bc3-49aa-92eb-680a0caabb06.jpg",
                        "frame": "first"
                    }
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "47085cda-c166-4f41-981a-f59ade9cf578",
      "model": "klingai:2@1",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "CFGScale": 0.64,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/52d0ccaf-3bc3-49aa-92eb-680a0caabb06.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:2@1 \
  width=1280 \
  height=720 \
  duration=5 \
  CFGScale=0.64 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/52d0ccaf-3bc3-49aa-92eb-680a0caabb06.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "47085cda-c166-4f41-981a-f59ade9cf578",
  "model": "klingai:2@1",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "CFGScale": 0.64,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/52d0ccaf-3bc3-49aa-92eb-680a0caabb06.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "47085cda-c166-4f41-981a-f59ade9cf578",
  "videoUUID": "9719745e-0f81-4905-b8b4-96698f2bc605",
  "videoURL": "https://vm.runware.ai/video/os/a21d05/ws/5/vi/9719745e-0f81-4905-b8b4-96698f2bc605.mp4",
  "seed": 1988852260,
  "cost": 0.1848
}
Image to Video

Lantern Harbor Fog Regatta

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'klingai:2@1',
  width: 1280,
  height: 720,
  duration: 5,
  CFGScale: 0.67,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/25fe832d-67b6-48d7-8e82-9eb9d61e3627.jpg',
        frame: 'first'
      }
    ]
  }
})
import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "klingai:2@1",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "CFGScale": 0.67,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/25fe832d-67b6-48d7-8e82-9eb9d61e3627.jpg",
                        "frame": "first"
                    }
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "791090c3-cb2a-491c-b701-f11b5fc38f1b",
      "model": "klingai:2@1",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "CFGScale": 0.67,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/25fe832d-67b6-48d7-8e82-9eb9d61e3627.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:2@1 \
  width=1280 \
  height=720 \
  duration=5 \
  CFGScale=0.67 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/25fe832d-67b6-48d7-8e82-9eb9d61e3627.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "791090c3-cb2a-491c-b701-f11b5fc38f1b",
  "model": "klingai:2@1",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "CFGScale": 0.67,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/25fe832d-67b6-48d7-8e82-9eb9d61e3627.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "791090c3-cb2a-491c-b701-f11b5fc38f1b",
  "videoUUID": "0c9c5214-43fa-48c6-9f80-022bd1c3910f",
  "videoURL": "https://vm.runware.ai/video/os/a23d05/ws/5/vi/0c9c5214-43fa-48c6-9f80-022bd1c3910f.mp4",
  "seed": 1290207221,
  "cost": 0.1848
}
Image to Video

Grand Station Clock Atrium

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'klingai:2@1',
  width: 1280,
  height: 720,
  duration: 5,
  CFGScale: 0.64,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/1b8e3b63-48c7-4ff1-ab76-e866eaa913e2.jpg',
        frame: 'first'
      }
    ]
  }
})
import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "klingai:2@1",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "CFGScale": 0.64,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/1b8e3b63-48c7-4ff1-ab76-e866eaa913e2.jpg",
                        "frame": "first"
                    }
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "10611efb-4150-42fc-b7b1-44c4d2404952",
      "model": "klingai:2@1",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "CFGScale": 0.64,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/1b8e3b63-48c7-4ff1-ab76-e866eaa913e2.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:2@1 \
  width=1280 \
  height=720 \
  duration=5 \
  CFGScale=0.64 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/1b8e3b63-48c7-4ff1-ab76-e866eaa913e2.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "10611efb-4150-42fc-b7b1-44c4d2404952",
  "model": "klingai:2@1",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "CFGScale": 0.64,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/1b8e3b63-48c7-4ff1-ab76-e866eaa913e2.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "10611efb-4150-42fc-b7b1-44c4d2404952",
  "videoUUID": "ee352011-eea4-4752-8866-07696687fd9a",
  "videoURL": "https://vm.runware.ai/video/os/a21d05/ws/5/vi/ee352011-eea4-4752-8866-07696687fd9a.mp4",
  "seed": 1400715894,
  "cost": 0.1848
}
Image to Video

Windblown Carnival Rooftop Chase

import { createClient } from '@runware/sdk'

const client = await createClient({ apiKey: process.env.RUNWARE_API_KEY })
await client.connect()

const [result] = await client.run({
  model: 'klingai:2@1',
  width: 1280,
  height: 720,
  duration: 5,
  CFGScale: 0.7,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/7fa3c1b1-388e-45f6-89eb-8d538b8ff5fc.jpg',
        frame: 'first'
      }
    ]
  }
})
import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "klingai:2@1",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "CFGScale": 0.7,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/7fa3c1b1-388e-45f6-89eb-8d538b8ff5fc.jpg",
                        "frame": "first"
                    }
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "457b2a41-5735-4f30-85a5-b424f505f050",
      "model": "klingai:2@1",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "CFGScale": 0.7,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/7fa3c1b1-388e-45f6-89eb-8d538b8ff5fc.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:2@1 \
  width=1280 \
  height=720 \
  duration=5 \
  CFGScale=0.7 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/7fa3c1b1-388e-45f6-89eb-8d538b8ff5fc.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "457b2a41-5735-4f30-85a5-b424f505f050",
  "model": "klingai:2@1",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "CFGScale": 0.7,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/7fa3c1b1-388e-45f6-89eb-8d538b8ff5fc.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "457b2a41-5735-4f30-85a5-b424f505f050",
  "videoUUID": "f23cd7ba-242c-4c45-8de9-53db69229081",
  "videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/f23cd7ba-242c-4c45-8de9-53db69229081.mp4",
  "seed": 2009708151,
  "cost": 0.1848
}