MODEL IDklingai:kling-video@2.6-standard
live

Kling VIDEO 2.6 Standard

Kling AI
by Kling AI

Kling VIDEO 2.6 Standard is a high-quality AI video generation model focused on producing visually coherent short clips with stable motion, expressive camera movement, and strong prompt adherence. It generates video from text prompts or an optional input image, making it suitable for cinematic previews, social content, and creative prototyping where audio is not required.

Kling VIDEO 2.6 Standard
text-to-video

Wine Fraud Docuseries Title Teaser

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:kling-video@2.6-standard',
  positivePrompt: 'Create a cinematic title teaser for a premium investigative docuseries titled “BOTTLED LIES,” set inside a secure wine-authentication laboratory after hours. Begin with an extreme macro view of an antique bottle’s cracked burgundy wax seal, illuminated by a narrow amber examination lamp against deep black. The camera glides slowly over dust, embossed glass and tiny wax fragments with tactile photorealistic detail. A conservator’s black nitrile-gloved hand enters frame and rotates the bottle beneath ultraviolet light; the warm scene shifts to cold cyan as invisible alterations emerge across the aged paper label. Follow the tip of a fine steel sampling needle as it pierces the cork and draws up one dark ruby droplet. Track the droplet into a clear laboratory vial, then transition through its curved reflection to long rows of shadowy bottles in a locked underground archive. Parallax movement reveals repeating necks and labels disappearing into darkness, suggesting a vast concealed trade. Finish as a razor-thin beam of light sweeps across the archive and reveals the centered title BOTTLED LIES in restrained, elegant ivory serif lettering, with subtle red refraction moving inside the letters before everything falls to black. Controlled slow camera motion, precise rack focus, realistic hand movement and fluid behavior, anamorphic highlights, fine 35mm grain, rich oxblood, tobacco amber, ivory and ultraviolet cyan palette, high-end investigative thriller tone, practical lighting, ominous and sophisticated rather than sensational. Maintain spatial continuity and stable object geometry. No logos, no other readable text, no interface graphics.'
})
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:kling-video@2.6-standard",
            "positivePrompt": "Create a cinematic title teaser for a premium investigative docuseries titled “BOTTLED LIES,” set inside a secure wine-authentication laboratory after hours. Begin with an extreme macro view of an antique bottle’s cracked burgundy wax seal, illuminated by a narrow amber examination lamp against deep black. The camera glides slowly over dust, embossed glass and tiny wax fragments with tactile photorealistic detail. A conservator’s black nitrile-gloved hand enters frame and rotates the bottle beneath ultraviolet light; the warm scene shifts to cold cyan as invisible alterations emerge across the aged paper label. Follow the tip of a fine steel sampling needle as it pierces the cork and draws up one dark ruby droplet. Track the droplet into a clear laboratory vial, then transition through its curved reflection to long rows of shadowy bottles in a locked underground archive. Parallax movement reveals repeating necks and labels disappearing into darkness, suggesting a vast concealed trade. Finish as a razor-thin beam of light sweeps across the archive and reveals the centered title BOTTLED LIES in restrained, elegant ivory serif lettering, with subtle red refraction moving inside the letters before everything falls to black. Controlled slow camera motion, precise rack focus, realistic hand movement and fluid behavior, anamorphic highlights, fine 35mm grain, rich oxblood, tobacco amber, ivory and ultraviolet cyan palette, high-end investigative thriller tone, practical lighting, ominous and sophisticated rather than sensational. Maintain spatial continuity and stable object geometry. No logos, no other readable text, no interface graphics."
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "a26fe7ec-ae9d-4349-9ec4-554e15d94ac7",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "Create a cinematic title teaser for a premium investigative docuseries titled “BOTTLED LIES,” set inside a secure wine-authentication laboratory after hours. Begin with an extreme macro view of an antique bottle’s cracked burgundy wax seal, illuminated by a narrow amber examination lamp against deep black. The camera glides slowly over dust, embossed glass and tiny wax fragments with tactile photorealistic detail. A conservator’s black nitrile-gloved hand enters frame and rotates the bottle beneath ultraviolet light; the warm scene shifts to cold cyan as invisible alterations emerge across the aged paper label. Follow the tip of a fine steel sampling needle as it pierces the cork and draws up one dark ruby droplet. Track the droplet into a clear laboratory vial, then transition through its curved reflection to long rows of shadowy bottles in a locked underground archive. Parallax movement reveals repeating necks and labels disappearing into darkness, suggesting a vast concealed trade. Finish as a razor-thin beam of light sweeps across the archive and reveals the centered title BOTTLED LIES in restrained, elegant ivory serif lettering, with subtle red refraction moving inside the letters before everything falls to black. Controlled slow camera motion, precise rack focus, realistic hand movement and fluid behavior, anamorphic highlights, fine 35mm grain, rich oxblood, tobacco amber, ivory and ultraviolet cyan palette, high-end investigative thriller tone, practical lighting, ominous and sophisticated rather than sensational. Maintain spatial continuity and stable object geometry. No logos, no other readable text, no interface graphics."
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="Create a cinematic title teaser for a premium investigative docuseries titled “BOTTLED LIES,” set inside a secure wine-authentication laboratory after hours. Begin with an extreme macro view of an antique bottle’s cracked burgundy wax seal, illuminated by a narrow amber examination lamp against deep black. The camera glides slowly over dust, embossed glass and tiny wax fragments with tactile photorealistic detail. A conservator’s black nitrile-gloved hand enters frame and rotates the bottle beneath ultraviolet light; the warm scene shifts to cold cyan as invisible alterations emerge across the aged paper label. Follow the tip of a fine steel sampling needle as it pierces the cork and draws up one dark ruby droplet. Track the droplet into a clear laboratory vial, then transition through its curved reflection to long rows of shadowy bottles in a locked underground archive. Parallax movement reveals repeating necks and labels disappearing into darkness, suggesting a vast concealed trade. Finish as a razor-thin beam of light sweeps across the archive and reveals the centered title BOTTLED LIES in restrained, elegant ivory serif lettering, with subtle red refraction moving inside the letters before everything falls to black. Controlled slow camera motion, precise rack focus, realistic hand movement and fluid behavior, anamorphic highlights, fine 35mm grain, rich oxblood, tobacco amber, ivory and ultraviolet cyan palette, high-end investigative thriller tone, practical lighting, ominous and sophisticated rather than sensational. Maintain spatial continuity and stable object geometry. No logos, no other readable text, no interface graphics."
{
  "taskType": "videoInference",
  "taskUUID": "a26fe7ec-ae9d-4349-9ec4-554e15d94ac7",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "Create a cinematic title teaser for a premium investigative docuseries titled “BOTTLED LIES,” set inside a secure wine-authentication laboratory after hours. Begin with an extreme macro view of an antique bottle’s cracked burgundy wax seal, illuminated by a narrow amber examination lamp against deep black. The camera glides slowly over dust, embossed glass and tiny wax fragments with tactile photorealistic detail. A conservator’s black nitrile-gloved hand enters frame and rotates the bottle beneath ultraviolet light; the warm scene shifts to cold cyan as invisible alterations emerge across the aged paper label. Follow the tip of a fine steel sampling needle as it pierces the cork and draws up one dark ruby droplet. Track the droplet into a clear laboratory vial, then transition through its curved reflection to long rows of shadowy bottles in a locked underground archive. Parallax movement reveals repeating necks and labels disappearing into darkness, suggesting a vast concealed trade. Finish as a razor-thin beam of light sweeps across the archive and reveals the centered title BOTTLED LIES in restrained, elegant ivory serif lettering, with subtle red refraction moving inside the letters before everything falls to black. Controlled slow camera motion, precise rack focus, realistic hand movement and fluid behavior, anamorphic highlights, fine 35mm grain, rich oxblood, tobacco amber, ivory and ultraviolet cyan palette, high-end investigative thriller tone, practical lighting, ominous and sophisticated rather than sensational. Maintain spatial continuity and stable object geometry. No logos, no other readable text, no interface graphics."
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "a26fe7ec-ae9d-4349-9ec4-554e15d94ac7",
  "videoUUID": "32822e7c-050c-4c1a-b695-cf9dccb51c52",
  "videoURL": "https://vm.runware.ai/video/os/a07dlim3/ws/5/vi/32822e7c-050c-4c1a-b695-cf9dccb51c52.mp4",
  "cost": 0.7
}
text-to-video

Cryogenic Seed Vault B-Roll

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:kling-video@2.6-standard',
  positivePrompt: 'A polished documentary b-roll shot inside a real cryogenic seed bank: a gloved conservation technician in a white insulated laboratory coat methodically slides a stainless-steel rack of labeled seed sample vials into an open vapor-phase liquid nitrogen storage tank. Dense cold mist spills gently over the rim and curls across the floor while tiny ice crystals glint on the metal fittings. Rows of cylindrical storage tanks recede into a spotless secure archive, with exposed utility pipes and soft indicator lights in the background. Begin close on the technician’s blue cryogenic gloves guiding the rack, then make a slow, stable lateral dolly move that reveals the frosted tank and the repeating vault architecture. Natural, precise hand movement; physically believable vapor; restrained industrial atmosphere. Cool cyan and silver palette with subtle warm amber practical lights, crisp highlights, soft volumetric haze, realistic documentary cinematography, shallow depth of field, fine material detail, gentle film grain, calm and purposeful mood. One continuous shot suitable as premium editorial stock footage, no logos, no readable labels, no captions, no interface graphics.'
})
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:kling-video@2.6-standard",
            "positivePrompt": "A polished documentary b-roll shot inside a real cryogenic seed bank: a gloved conservation technician in a white insulated laboratory coat methodically slides a stainless-steel rack of labeled seed sample vials into an open vapor-phase liquid nitrogen storage tank. Dense cold mist spills gently over the rim and curls across the floor while tiny ice crystals glint on the metal fittings. Rows of cylindrical storage tanks recede into a spotless secure archive, with exposed utility pipes and soft indicator lights in the background. Begin close on the technician’s blue cryogenic gloves guiding the rack, then make a slow, stable lateral dolly move that reveals the frosted tank and the repeating vault architecture. Natural, precise hand movement; physically believable vapor; restrained industrial atmosphere. Cool cyan and silver palette with subtle warm amber practical lights, crisp highlights, soft volumetric haze, realistic documentary cinematography, shallow depth of field, fine material detail, gentle film grain, calm and purposeful mood. One continuous shot suitable as premium editorial stock footage, no logos, no readable labels, no captions, no interface graphics."
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "ecdb3c40-f20f-4753-ae15-030c336d9851",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "A polished documentary b-roll shot inside a real cryogenic seed bank: a gloved conservation technician in a white insulated laboratory coat methodically slides a stainless-steel rack of labeled seed sample vials into an open vapor-phase liquid nitrogen storage tank. Dense cold mist spills gently over the rim and curls across the floor while tiny ice crystals glint on the metal fittings. Rows of cylindrical storage tanks recede into a spotless secure archive, with exposed utility pipes and soft indicator lights in the background. Begin close on the technician’s blue cryogenic gloves guiding the rack, then make a slow, stable lateral dolly move that reveals the frosted tank and the repeating vault architecture. Natural, precise hand movement; physically believable vapor; restrained industrial atmosphere. Cool cyan and silver palette with subtle warm amber practical lights, crisp highlights, soft volumetric haze, realistic documentary cinematography, shallow depth of field, fine material detail, gentle film grain, calm and purposeful mood. One continuous shot suitable as premium editorial stock footage, no logos, no readable labels, no captions, no interface graphics."
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="A polished documentary b-roll shot inside a real cryogenic seed bank: a gloved conservation technician in a white insulated laboratory coat methodically slides a stainless-steel rack of labeled seed sample vials into an open vapor-phase liquid nitrogen storage tank. Dense cold mist spills gently over the rim and curls across the floor while tiny ice crystals glint on the metal fittings. Rows of cylindrical storage tanks recede into a spotless secure archive, with exposed utility pipes and soft indicator lights in the background. Begin close on the technician’s blue cryogenic gloves guiding the rack, then make a slow, stable lateral dolly move that reveals the frosted tank and the repeating vault architecture. Natural, precise hand movement; physically believable vapor; restrained industrial atmosphere. Cool cyan and silver palette with subtle warm amber practical lights, crisp highlights, soft volumetric haze, realistic documentary cinematography, shallow depth of field, fine material detail, gentle film grain, calm and purposeful mood. One continuous shot suitable as premium editorial stock footage, no logos, no readable labels, no captions, no interface graphics."
{
  "taskType": "videoInference",
  "taskUUID": "ecdb3c40-f20f-4753-ae15-030c336d9851",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A polished documentary b-roll shot inside a real cryogenic seed bank: a gloved conservation technician in a white insulated laboratory coat methodically slides a stainless-steel rack of labeled seed sample vials into an open vapor-phase liquid nitrogen storage tank. Dense cold mist spills gently over the rim and curls across the floor while tiny ice crystals glint on the metal fittings. Rows of cylindrical storage tanks recede into a spotless secure archive, with exposed utility pipes and soft indicator lights in the background. Begin close on the technician’s blue cryogenic gloves guiding the rack, then make a slow, stable lateral dolly move that reveals the frosted tank and the repeating vault architecture. Natural, precise hand movement; physically believable vapor; restrained industrial atmosphere. Cool cyan and silver palette with subtle warm amber practical lights, crisp highlights, soft volumetric haze, realistic documentary cinematography, shallow depth of field, fine material detail, gentle film grain, calm and purposeful mood. One continuous shot suitable as premium editorial stock footage, no logos, no readable labels, no captions, no interface graphics."
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "ecdb3c40-f20f-4753-ae15-030c336d9851",
  "videoUUID": "23424ea2-1d3a-4119-bea1-3d26264f61c7",
  "videoURL": "https://vm.runware.ai/video/os/a10dlim3/ws/5/vi/23424ea2-1d3a-4119-bea1-3d26264f61c7.mp4",
  "cost": 0.7
}
reference-to-video

Apiary Biosecurity Presenter Bulletin

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:kling-video@2.6-standard',
  positivePrompt: 'Create a polished agricultural extension talking-head bulletin using the woman in the reference image as the presenter, preserving her facial identity, clothing, front-facing orientation and composed professional demeanor. Place her beside rows of working wooden beehives at a cool, misty dawn. Medium close-up framing from mid-torso upward, direct eye contact, softly blurred apiary background, muted sage green, honey yellow and weathered cedar palette, natural side light and credible documentary realism. Follow the reference video’s exact performance timing and motion: calm delivery, natural blinks and subtle head movement, one small open-hand gesture when the speaker mentions “three percent,” hand lowering afterward, and a reassuring nod at the end. Match mouth movement closely to the reference video’s spoken audio and preserve that original sound intact, including the clean voice and subtle outdoor apiary ambience. Stable camera with only a very gentle documentary drift. Realistic skin, hands, veil fabric and jacket texture. No captions, graphics, logos, labels or on-screen text.',
  providerSettings: {
    klingai: {
      characterOrientation: 'image',
      keepOriginalSound: true
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/cf1193fd-5d13-45df-b2dd-9f83b0328192.jpg'
    ],
    referenceVideos: [
      'https://assets.runware.ai/assets/inputs/420888df-b86f-4a7b-aad5-d72c8baa8b9e.mp4'
    ]
  }
})
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:kling-video@2.6-standard",
            "positivePrompt": "Create a polished agricultural extension talking-head bulletin using the woman in the reference image as the presenter, preserving her facial identity, clothing, front-facing orientation and composed professional demeanor. Place her beside rows of working wooden beehives at a cool, misty dawn. Medium close-up framing from mid-torso upward, direct eye contact, softly blurred apiary background, muted sage green, honey yellow and weathered cedar palette, natural side light and credible documentary realism. Follow the reference video’s exact performance timing and motion: calm delivery, natural blinks and subtle head movement, one small open-hand gesture when the speaker mentions “three percent,” hand lowering afterward, and a reassuring nod at the end. Match mouth movement closely to the reference video’s spoken audio and preserve that original sound intact, including the clean voice and subtle outdoor apiary ambience. Stable camera with only a very gentle documentary drift. Realistic skin, hands, veil fabric and jacket texture. No captions, graphics, logos, labels or on-screen text.",
            "providerSettings": {
                "klingai": {
                    "characterOrientation": "image",
                    "keepOriginalSound": True
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/cf1193fd-5d13-45df-b2dd-9f83b0328192.jpg"
                ],
                "referenceVideos": [
                    "https://assets.runware.ai/assets/inputs/420888df-b86f-4a7b-aad5-d72c8baa8b9e.mp4"
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "01f59408-33e1-482a-b07a-f58ebb9ebe3c",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "Create a polished agricultural extension talking-head bulletin using the woman in the reference image as the presenter, preserving her facial identity, clothing, front-facing orientation and composed professional demeanor. Place her beside rows of working wooden beehives at a cool, misty dawn. Medium close-up framing from mid-torso upward, direct eye contact, softly blurred apiary background, muted sage green, honey yellow and weathered cedar palette, natural side light and credible documentary realism. Follow the reference video’s exact performance timing and motion: calm delivery, natural blinks and subtle head movement, one small open-hand gesture when the speaker mentions “three percent,” hand lowering afterward, and a reassuring nod at the end. Match mouth movement closely to the reference video’s spoken audio and preserve that original sound intact, including the clean voice and subtle outdoor apiary ambience. Stable camera with only a very gentle documentary drift. Realistic skin, hands, veil fabric and jacket texture. No captions, graphics, logos, labels or on-screen text.",
      "providerSettings": {
        "klingai": {
          "characterOrientation": "image",
          "keepOriginalSound": true
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/cf1193fd-5d13-45df-b2dd-9f83b0328192.jpg"
        ],
        "referenceVideos": [
          "https://assets.runware.ai/assets/inputs/420888df-b86f-4a7b-aad5-d72c8baa8b9e.mp4"
        ]
      }
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="Create a polished agricultural extension talking-head bulletin using the woman in the reference image as the presenter, preserving her facial identity, clothing, front-facing orientation and composed professional demeanor. Place her beside rows of working wooden beehives at a cool, misty dawn. Medium close-up framing from mid-torso upward, direct eye contact, softly blurred apiary background, muted sage green, honey yellow and weathered cedar palette, natural side light and credible documentary realism. Follow the reference video’s exact performance timing and motion: calm delivery, natural blinks and subtle head movement, one small open-hand gesture when the speaker mentions “three percent,” hand lowering afterward, and a reassuring nod at the end. Match mouth movement closely to the reference video’s spoken audio and preserve that original sound intact, including the clean voice and subtle outdoor apiary ambience. Stable camera with only a very gentle documentary drift. Realistic skin, hands, veil fabric and jacket texture. No captions, graphics, logos, labels or on-screen text." \
  providerSettings.klingai.characterOrientation=image \
  providerSettings.klingai.keepOriginalSound=true \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/cf1193fd-5d13-45df-b2dd-9f83b0328192.jpg \
  inputs.referenceVideos.0=https://assets.runware.ai/assets/inputs/420888df-b86f-4a7b-aad5-d72c8baa8b9e.mp4
{
  "taskType": "videoInference",
  "taskUUID": "01f59408-33e1-482a-b07a-f58ebb9ebe3c",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "Create a polished agricultural extension talking-head bulletin using the woman in the reference image as the presenter, preserving her facial identity, clothing, front-facing orientation and composed professional demeanor. Place her beside rows of working wooden beehives at a cool, misty dawn. Medium close-up framing from mid-torso upward, direct eye contact, softly blurred apiary background, muted sage green, honey yellow and weathered cedar palette, natural side light and credible documentary realism. Follow the reference video’s exact performance timing and motion: calm delivery, natural blinks and subtle head movement, one small open-hand gesture when the speaker mentions “three percent,” hand lowering afterward, and a reassuring nod at the end. Match mouth movement closely to the reference video’s spoken audio and preserve that original sound intact, including the clean voice and subtle outdoor apiary ambience. Stable camera with only a very gentle documentary drift. Realistic skin, hands, veil fabric and jacket texture. No captions, graphics, logos, labels or on-screen text.",
  "providerSettings": {
    "klingai": {
      "characterOrientation": "image",
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/cf1193fd-5d13-45df-b2dd-9f83b0328192.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/420888df-b86f-4a7b-aad5-d72c8baa8b9e.mp4"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "01f59408-33e1-482a-b07a-f58ebb9ebe3c",
  "videoUUID": "f1b8bae7-a9b2-4ded-ac5e-d72964f44c73",
  "videoURL": "https://vm.runware.ai/video/os/a09dlim3/ws/5/vi/f1b8bae7-a9b2-4ded-ac5e-d72964f44c73.mp4",
  "cost": 0.33
}
reference-to-video

Museum Pest Training Presenter Clip

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:kling-video@2.6-standard',
  positivePrompt: 'Create a polished museum staff-training presenter clip using the reference image for the conservator’s exact appearance, wardrobe, facial features, and camera-facing orientation. Place her in a compact historic-building conservation workshop, framed chest-up beside a softly out-of-focus oak beam with small beetle exit holes. Behind her are shallow specimen drawers, archival tags, and a brass task lamp, with no readable labels. Warm amber practical light mixes with cool daylight for a restrained mustard, slate-blue, oak, and charcoal palette. She addresses the viewer with calm authority. Follow the reference video’s performance, timing, eye contact, lip movement, index-finger emphasis, and small open-hand gesture precisely while preserving its original spoken audio. Keep her identity, glasses, hair, clothing, proportions, and facial details stable throughout. Natural blinking and subtle breathing, realistic documentary lighting, shallow depth of field, locked professional camera with an almost imperceptible slow push-in. Single uninterrupted shot, credible heritage-conservation workplace, no captions, logos, graphics, or on-screen text.',
  providerSettings: {
    klingai: {
      characterOrientation: 'image',
      keepOriginalSound: true
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/73a73e00-fc15-4c39-9bff-8f8839c2ac74.jpg'
    ],
    referenceVideos: [
      'https://assets.runware.ai/assets/inputs/0aa8019e-0b67-4e6a-ba25-af2807f9c9ce.mp4'
    ]
  }
})
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:kling-video@2.6-standard",
            "positivePrompt": "Create a polished museum staff-training presenter clip using the reference image for the conservator’s exact appearance, wardrobe, facial features, and camera-facing orientation. Place her in a compact historic-building conservation workshop, framed chest-up beside a softly out-of-focus oak beam with small beetle exit holes. Behind her are shallow specimen drawers, archival tags, and a brass task lamp, with no readable labels. Warm amber practical light mixes with cool daylight for a restrained mustard, slate-blue, oak, and charcoal palette. She addresses the viewer with calm authority. Follow the reference video’s performance, timing, eye contact, lip movement, index-finger emphasis, and small open-hand gesture precisely while preserving its original spoken audio. Keep her identity, glasses, hair, clothing, proportions, and facial details stable throughout. Natural blinking and subtle breathing, realistic documentary lighting, shallow depth of field, locked professional camera with an almost imperceptible slow push-in. Single uninterrupted shot, credible heritage-conservation workplace, no captions, logos, graphics, or on-screen text.",
            "providerSettings": {
                "klingai": {
                    "characterOrientation": "image",
                    "keepOriginalSound": True
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/73a73e00-fc15-4c39-9bff-8f8839c2ac74.jpg"
                ],
                "referenceVideos": [
                    "https://assets.runware.ai/assets/inputs/0aa8019e-0b67-4e6a-ba25-af2807f9c9ce.mp4"
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "c7f4e752-941f-44cb-b37b-c99b386d62d2",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "Create a polished museum staff-training presenter clip using the reference image for the conservator’s exact appearance, wardrobe, facial features, and camera-facing orientation. Place her in a compact historic-building conservation workshop, framed chest-up beside a softly out-of-focus oak beam with small beetle exit holes. Behind her are shallow specimen drawers, archival tags, and a brass task lamp, with no readable labels. Warm amber practical light mixes with cool daylight for a restrained mustard, slate-blue, oak, and charcoal palette. She addresses the viewer with calm authority. Follow the reference video’s performance, timing, eye contact, lip movement, index-finger emphasis, and small open-hand gesture precisely while preserving its original spoken audio. Keep her identity, glasses, hair, clothing, proportions, and facial details stable throughout. Natural blinking and subtle breathing, realistic documentary lighting, shallow depth of field, locked professional camera with an almost imperceptible slow push-in. Single uninterrupted shot, credible heritage-conservation workplace, no captions, logos, graphics, or on-screen text.",
      "providerSettings": {
        "klingai": {
          "characterOrientation": "image",
          "keepOriginalSound": true
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/73a73e00-fc15-4c39-9bff-8f8839c2ac74.jpg"
        ],
        "referenceVideos": [
          "https://assets.runware.ai/assets/inputs/0aa8019e-0b67-4e6a-ba25-af2807f9c9ce.mp4"
        ]
      }
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="Create a polished museum staff-training presenter clip using the reference image for the conservator’s exact appearance, wardrobe, facial features, and camera-facing orientation. Place her in a compact historic-building conservation workshop, framed chest-up beside a softly out-of-focus oak beam with small beetle exit holes. Behind her are shallow specimen drawers, archival tags, and a brass task lamp, with no readable labels. Warm amber practical light mixes with cool daylight for a restrained mustard, slate-blue, oak, and charcoal palette. She addresses the viewer with calm authority. Follow the reference video’s performance, timing, eye contact, lip movement, index-finger emphasis, and small open-hand gesture precisely while preserving its original spoken audio. Keep her identity, glasses, hair, clothing, proportions, and facial details stable throughout. Natural blinking and subtle breathing, realistic documentary lighting, shallow depth of field, locked professional camera with an almost imperceptible slow push-in. Single uninterrupted shot, credible heritage-conservation workplace, no captions, logos, graphics, or on-screen text." \
  providerSettings.klingai.characterOrientation=image \
  providerSettings.klingai.keepOriginalSound=true \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/73a73e00-fc15-4c39-9bff-8f8839c2ac74.jpg \
  inputs.referenceVideos.0=https://assets.runware.ai/assets/inputs/0aa8019e-0b67-4e6a-ba25-af2807f9c9ce.mp4
{
  "taskType": "videoInference",
  "taskUUID": "c7f4e752-941f-44cb-b37b-c99b386d62d2",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "Create a polished museum staff-training presenter clip using the reference image for the conservator’s exact appearance, wardrobe, facial features, and camera-facing orientation. Place her in a compact historic-building conservation workshop, framed chest-up beside a softly out-of-focus oak beam with small beetle exit holes. Behind her are shallow specimen drawers, archival tags, and a brass task lamp, with no readable labels. Warm amber practical light mixes with cool daylight for a restrained mustard, slate-blue, oak, and charcoal palette. She addresses the viewer with calm authority. Follow the reference video’s performance, timing, eye contact, lip movement, index-finger emphasis, and small open-hand gesture precisely while preserving its original spoken audio. Keep her identity, glasses, hair, clothing, proportions, and facial details stable throughout. Natural blinking and subtle breathing, realistic documentary lighting, shallow depth of field, locked professional camera with an almost imperceptible slow push-in. Single uninterrupted shot, credible heritage-conservation workplace, no captions, logos, graphics, or on-screen text.",
  "providerSettings": {
    "klingai": {
      "characterOrientation": "image",
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/73a73e00-fc15-4c39-9bff-8f8839c2ac74.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/0aa8019e-0b67-4e6a-ba25-af2807f9c9ce.mp4"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "c7f4e752-941f-44cb-b37b-c99b386d62d2",
  "videoUUID": "7c147b53-b817-4520-ad31-afc42391cd5c",
  "videoURL": "https://vm.runware.ai/video/os/a07dlim3/ws/5/vi/7c147b53-b817-4520-ad31-afc42391cd5c.mp4",
  "cost": 0.33
}
Image to Video

Retro Arcade Aisle Standoff

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:kling-video@2.6-standard',
  positivePrompt: 'Use the reference image as the main subject and the reference video as the motion guide. A nostalgic late-night arcade packed with towering game cabinets, animated score screens, chrome edges, haze from old ventilation, saturated cyan and magenta highlights. The featured pinball mechanic stands centered in the aisle as the camera pushes forward, then subtly arcs around them. Their jacket catches shifting monitor glow, hair and clothing react naturally to movement, expression focused and cool. Surrounding machines pulse with scrolling pixels, reflected light streaks across the polished floor, tiny dust motes drift through the beams, cinematic depth, coherent body motion, strong subject consistency, stylish 1980s-inspired color grade, crisp details, high-end commercial music-video feel.',
  providerSettings: {
    klingai: {
      characterOrientation: 'image',
      keepOriginalSound: false
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/bb5f61d4-2374-46c5-bcb0-c9d5d07f1669.jpg'
    ],
    referenceVideos: [
      'https://assets.runware.ai/assets/inputs/635c30b6-5efd-4915-8595-018aff559b95.mp4'
    ]
  }
})
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:kling-video@2.6-standard",
            "positivePrompt": "Use the reference image as the main subject and the reference video as the motion guide. A nostalgic late-night arcade packed with towering game cabinets, animated score screens, chrome edges, haze from old ventilation, saturated cyan and magenta highlights. The featured pinball mechanic stands centered in the aisle as the camera pushes forward, then subtly arcs around them. Their jacket catches shifting monitor glow, hair and clothing react naturally to movement, expression focused and cool. Surrounding machines pulse with scrolling pixels, reflected light streaks across the polished floor, tiny dust motes drift through the beams, cinematic depth, coherent body motion, strong subject consistency, stylish 1980s-inspired color grade, crisp details, high-end commercial music-video feel.",
            "providerSettings": {
                "klingai": {
                    "characterOrientation": "image",
                    "keepOriginalSound": False
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/bb5f61d4-2374-46c5-bcb0-c9d5d07f1669.jpg"
                ],
                "referenceVideos": [
                    "https://assets.runware.ai/assets/inputs/635c30b6-5efd-4915-8595-018aff559b95.mp4"
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "59d07ed7-12eb-415a-96ed-178d1b54fa80",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "Use the reference image as the main subject and the reference video as the motion guide. A nostalgic late-night arcade packed with towering game cabinets, animated score screens, chrome edges, haze from old ventilation, saturated cyan and magenta highlights. The featured pinball mechanic stands centered in the aisle as the camera pushes forward, then subtly arcs around them. Their jacket catches shifting monitor glow, hair and clothing react naturally to movement, expression focused and cool. Surrounding machines pulse with scrolling pixels, reflected light streaks across the polished floor, tiny dust motes drift through the beams, cinematic depth, coherent body motion, strong subject consistency, stylish 1980s-inspired color grade, crisp details, high-end commercial music-video feel.",
      "providerSettings": {
        "klingai": {
          "characterOrientation": "image",
          "keepOriginalSound": false
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/bb5f61d4-2374-46c5-bcb0-c9d5d07f1669.jpg"
        ],
        "referenceVideos": [
          "https://assets.runware.ai/assets/inputs/635c30b6-5efd-4915-8595-018aff559b95.mp4"
        ]
      }
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="Use the reference image as the main subject and the reference video as the motion guide. A nostalgic late-night arcade packed with towering game cabinets, animated score screens, chrome edges, haze from old ventilation, saturated cyan and magenta highlights. The featured pinball mechanic stands centered in the aisle as the camera pushes forward, then subtly arcs around them. Their jacket catches shifting monitor glow, hair and clothing react naturally to movement, expression focused and cool. Surrounding machines pulse with scrolling pixels, reflected light streaks across the polished floor, tiny dust motes drift through the beams, cinematic depth, coherent body motion, strong subject consistency, stylish 1980s-inspired color grade, crisp details, high-end commercial music-video feel." \
  providerSettings.klingai.characterOrientation=image \
  providerSettings.klingai.keepOriginalSound=false \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/bb5f61d4-2374-46c5-bcb0-c9d5d07f1669.jpg \
  inputs.referenceVideos.0=https://assets.runware.ai/assets/inputs/635c30b6-5efd-4915-8595-018aff559b95.mp4
{
  "taskType": "videoInference",
  "taskUUID": "59d07ed7-12eb-415a-96ed-178d1b54fa80",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "Use the reference image as the main subject and the reference video as the motion guide. A nostalgic late-night arcade packed with towering game cabinets, animated score screens, chrome edges, haze from old ventilation, saturated cyan and magenta highlights. The featured pinball mechanic stands centered in the aisle as the camera pushes forward, then subtly arcs around them. Their jacket catches shifting monitor glow, hair and clothing react naturally to movement, expression focused and cool. Surrounding machines pulse with scrolling pixels, reflected light streaks across the polished floor, tiny dust motes drift through the beams, cinematic depth, coherent body motion, strong subject consistency, stylish 1980s-inspired color grade, crisp details, high-end commercial music-video feel.",
  "providerSettings": {
    "klingai": {
      "characterOrientation": "image",
      "keepOriginalSound": false
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/bb5f61d4-2374-46c5-bcb0-c9d5d07f1669.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/635c30b6-5efd-4915-8595-018aff559b95.mp4"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "59d07ed7-12eb-415a-96ed-178d1b54fa80",
  "videoUUID": "619aeb49-8a0d-4620-9187-9cbefbdbf62e",
  "videoURL": "https://vm.runware.ai/video/os/a05d22/ws/5/vi/619aeb49-8a0d-4620-9187-9cbefbdbf62e.mp4",
  "cost": 0.33
}
Image to Video

Flooded Metro Tunnel Ballet

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:kling-video@2.6-standard',
  positivePrompt: 'A lone contemporary dancer performs in an abandoned metro tunnel partially covered by shallow water, reflections rippling under overhead maintenance lights. The performer matches the reference image appearance and uses the reference video motion language and scene flow. Graceful spins, sliding footwork, controlled leaps, water splashes in arcs, drifting steam, glossy concrete walls, distant signal lights, cinematic depth, dramatic contrast, highly coherent body motion, smooth tracking camera, realistic fabric movement, refined details, atmospheric urban surrealism',
  providerSettings: {
    klingai: {
      characterOrientation: 'image',
      keepOriginalSound: false
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/d870d89d-6d8d-4d27-a56c-075f0c8bbd74.jpg'
    ],
    referenceVideos: [
      'https://assets.runware.ai/assets/inputs/8149db4d-fa6e-433a-9537-1ea6c35e4bbe.mp4'
    ]
  }
})
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:kling-video@2.6-standard",
            "positivePrompt": "A lone contemporary dancer performs in an abandoned metro tunnel partially covered by shallow water, reflections rippling under overhead maintenance lights. The performer matches the reference image appearance and uses the reference video motion language and scene flow. Graceful spins, sliding footwork, controlled leaps, water splashes in arcs, drifting steam, glossy concrete walls, distant signal lights, cinematic depth, dramatic contrast, highly coherent body motion, smooth tracking camera, realistic fabric movement, refined details, atmospheric urban surrealism",
            "providerSettings": {
                "klingai": {
                    "characterOrientation": "image",
                    "keepOriginalSound": False
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/d870d89d-6d8d-4d27-a56c-075f0c8bbd74.jpg"
                ],
                "referenceVideos": [
                    "https://assets.runware.ai/assets/inputs/8149db4d-fa6e-433a-9537-1ea6c35e4bbe.mp4"
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "3bdba0d3-e60e-4a0a-b82e-1a092ca07810",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "A lone contemporary dancer performs in an abandoned metro tunnel partially covered by shallow water, reflections rippling under overhead maintenance lights. The performer matches the reference image appearance and uses the reference video motion language and scene flow. Graceful spins, sliding footwork, controlled leaps, water splashes in arcs, drifting steam, glossy concrete walls, distant signal lights, cinematic depth, dramatic contrast, highly coherent body motion, smooth tracking camera, realistic fabric movement, refined details, atmospheric urban surrealism",
      "providerSettings": {
        "klingai": {
          "characterOrientation": "image",
          "keepOriginalSound": false
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/d870d89d-6d8d-4d27-a56c-075f0c8bbd74.jpg"
        ],
        "referenceVideos": [
          "https://assets.runware.ai/assets/inputs/8149db4d-fa6e-433a-9537-1ea6c35e4bbe.mp4"
        ]
      }
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="A lone contemporary dancer performs in an abandoned metro tunnel partially covered by shallow water, reflections rippling under overhead maintenance lights. The performer matches the reference image appearance and uses the reference video motion language and scene flow. Graceful spins, sliding footwork, controlled leaps, water splashes in arcs, drifting steam, glossy concrete walls, distant signal lights, cinematic depth, dramatic contrast, highly coherent body motion, smooth tracking camera, realistic fabric movement, refined details, atmospheric urban surrealism" \
  providerSettings.klingai.characterOrientation=image \
  providerSettings.klingai.keepOriginalSound=false \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/d870d89d-6d8d-4d27-a56c-075f0c8bbd74.jpg \
  inputs.referenceVideos.0=https://assets.runware.ai/assets/inputs/8149db4d-fa6e-433a-9537-1ea6c35e4bbe.mp4
{
  "taskType": "videoInference",
  "taskUUID": "3bdba0d3-e60e-4a0a-b82e-1a092ca07810",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A lone contemporary dancer performs in an abandoned metro tunnel partially covered by shallow water, reflections rippling under overhead maintenance lights. The performer matches the reference image appearance and uses the reference video motion language and scene flow. Graceful spins, sliding footwork, controlled leaps, water splashes in arcs, drifting steam, glossy concrete walls, distant signal lights, cinematic depth, dramatic contrast, highly coherent body motion, smooth tracking camera, realistic fabric movement, refined details, atmospheric urban surrealism",
  "providerSettings": {
    "klingai": {
      "characterOrientation": "image",
      "keepOriginalSound": false
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/d870d89d-6d8d-4d27-a56c-075f0c8bbd74.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/8149db4d-fa6e-433a-9537-1ea6c35e4bbe.mp4"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "3bdba0d3-e60e-4a0a-b82e-1a092ca07810",
  "videoUUID": "1caa0e23-d0cf-45bb-84cc-4fb7a909383f",
  "videoURL": "https://vm.runware.ai/video/os/a04d20/ws/5/vi/1caa0e23-d0cf-45bb-84cc-4fb7a909383f.mp4",
  "cost": 0.33
}
Text to Video

Windblown Clifftop Violinist Portrait

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:kling-video@2.6-standard',
  positivePrompt: 'A solitary violinist in a long amber coat stands on a narrow grassy cliff above a cold steel-blue ocean, performing with intense emotion as strong wind whips their coat tails and hair sideways. The camera begins in a medium shot behind wild coastal flowers, then arcs gently around to a close three-quarter view, revealing precise bow movement, subtle facial expression, and rolling white waves crashing far below. Late-afternoon light breaks through layered storm clouds, creating moving bands of gold across the cliff and sea. Realistic cinematic style, natural textures, coherent body motion, elegant camera movement, atmospheric depth, highly detailed environment, dramatic yet grounded mood.',
  providerSettings: {
    klingai: {}
  }
})
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:kling-video@2.6-standard",
            "positivePrompt": "A solitary violinist in a long amber coat stands on a narrow grassy cliff above a cold steel-blue ocean, performing with intense emotion as strong wind whips their coat tails and hair sideways. The camera begins in a medium shot behind wild coastal flowers, then arcs gently around to a close three-quarter view, revealing precise bow movement, subtle facial expression, and rolling white waves crashing far below. Late-afternoon light breaks through layered storm clouds, creating moving bands of gold across the cliff and sea. Realistic cinematic style, natural textures, coherent body motion, elegant camera movement, atmospheric depth, highly detailed environment, dramatic yet grounded mood.",
            "providerSettings": {
                "klingai": {}
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "e927d0ae-fd83-4090-8e94-59d98cd6b44e",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "A solitary violinist in a long amber coat stands on a narrow grassy cliff above a cold steel-blue ocean, performing with intense emotion as strong wind whips their coat tails and hair sideways. The camera begins in a medium shot behind wild coastal flowers, then arcs gently around to a close three-quarter view, revealing precise bow movement, subtle facial expression, and rolling white waves crashing far below. Late-afternoon light breaks through layered storm clouds, creating moving bands of gold across the cliff and sea. Realistic cinematic style, natural textures, coherent body motion, elegant camera movement, atmospheric depth, highly detailed environment, dramatic yet grounded mood.",
      "providerSettings": {
        "klingai": {}
      }
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="A solitary violinist in a long amber coat stands on a narrow grassy cliff above a cold steel-blue ocean, performing with intense emotion as strong wind whips their coat tails and hair sideways. The camera begins in a medium shot behind wild coastal flowers, then arcs gently around to a close three-quarter view, revealing precise bow movement, subtle facial expression, and rolling white waves crashing far below. Late-afternoon light breaks through layered storm clouds, creating moving bands of gold across the cliff and sea. Realistic cinematic style, natural textures, coherent body motion, elegant camera movement, atmospheric depth, highly detailed environment, dramatic yet grounded mood."
{
  "taskType": "videoInference",
  "taskUUID": "e927d0ae-fd83-4090-8e94-59d98cd6b44e",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A solitary violinist in a long amber coat stands on a narrow grassy cliff above a cold steel-blue ocean, performing with intense emotion as strong wind whips their coat tails and hair sideways. The camera begins in a medium shot behind wild coastal flowers, then arcs gently around to a close three-quarter view, revealing precise bow movement, subtle facial expression, and rolling white waves crashing far below. Late-afternoon light breaks through layered storm clouds, creating moving bands of gold across the cliff and sea. Realistic cinematic style, natural textures, coherent body motion, elegant camera movement, atmospheric depth, highly detailed environment, dramatic yet grounded mood.",
  "providerSettings": {
    "klingai": {}
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "e927d0ae-fd83-4090-8e94-59d98cd6b44e",
  "videoUUID": "5c199508-dd9d-4ffb-91ef-72e3b833ce9a",
  "videoURL": "https://vm.runware.ai/video/os/a08dlim3/ws/5/vi/5c199508-dd9d-4ffb-91ef-72e3b833ce9a.mp4",
  "cost": 0.7
}
Text to Video

Lantern Orchard Fox 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:kling-video@2.6-standard',
  positivePrompt: 'A nimble red fox darts through an orchard of low twisting fruit trees hung with hundreds of glowing paper lanterns, each lantern painted with tiny constellations and hand-drawn stars. Fireflies swirl in loose spirals above the grass while fallen petals and leaves scatter under the fox\'s paws. The camera begins with a low tracking shot following behind the fox, then arcs sideways between tree trunks, revealing a small child in a patchwork cape laughing and chasing at a distance with a wooden kite shaped like a comet. Warm amber lantern light mixes with cool blue night haze, creating rich depth and contrast. The fox leaps over a narrow stream reflecting the lanterns, lands smoothly, and pauses on a mossy stone as the camera pushes in for a brief heroic close view before pulling upward to reveal the full orchard glowing like a constellation map. Highly detailed, cinematic, expressive motion, stable anatomy, natural environmental movement, soft atmospheric depth, polished fantasy realism.'
})
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:kling-video@2.6-standard",
            "positivePrompt": "A nimble red fox darts through an orchard of low twisting fruit trees hung with hundreds of glowing paper lanterns, each lantern painted with tiny constellations and hand-drawn stars. Fireflies swirl in loose spirals above the grass while fallen petals and leaves scatter under the fox's paws. The camera begins with a low tracking shot following behind the fox, then arcs sideways between tree trunks, revealing a small child in a patchwork cape laughing and chasing at a distance with a wooden kite shaped like a comet. Warm amber lantern light mixes with cool blue night haze, creating rich depth and contrast. The fox leaps over a narrow stream reflecting the lanterns, lands smoothly, and pauses on a mossy stone as the camera pushes in for a brief heroic close view before pulling upward to reveal the full orchard glowing like a constellation map. Highly detailed, cinematic, expressive motion, stable anatomy, natural environmental movement, soft atmospheric depth, polished fantasy realism."
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "de5cec1a-ac2d-4973-996a-e9a24a5e1351",
      "model": "klingai:kling-video@2.6-standard",
      "positivePrompt": "A nimble red fox darts through an orchard of low twisting fruit trees hung with hundreds of glowing paper lanterns, each lantern painted with tiny constellations and hand-drawn stars. Fireflies swirl in loose spirals above the grass while fallen petals and leaves scatter under the fox's paws. The camera begins with a low tracking shot following behind the fox, then arcs sideways between tree trunks, revealing a small child in a patchwork cape laughing and chasing at a distance with a wooden kite shaped like a comet. Warm amber lantern light mixes with cool blue night haze, creating rich depth and contrast. The fox leaps over a narrow stream reflecting the lanterns, lands smoothly, and pauses on a mossy stone as the camera pushes in for a brief heroic close view before pulling upward to reveal the full orchard glowing like a constellation map. Highly detailed, cinematic, expressive motion, stable anatomy, natural environmental movement, soft atmospheric depth, polished fantasy realism."
    }
  ]'
runware run klingai:kling-video@2.6-standard \
  positivePrompt="A nimble red fox darts through an orchard of low twisting fruit trees hung with hundreds of glowing paper lanterns, each lantern painted with tiny constellations and hand-drawn stars. Fireflies swirl in loose spirals above the grass while fallen petals and leaves scatter under the fox's paws. The camera begins with a low tracking shot following behind the fox, then arcs sideways between tree trunks, revealing a small child in a patchwork cape laughing and chasing at a distance with a wooden kite shaped like a comet. Warm amber lantern light mixes with cool blue night haze, creating rich depth and contrast. The fox leaps over a narrow stream reflecting the lanterns, lands smoothly, and pauses on a mossy stone as the camera pushes in for a brief heroic close view before pulling upward to reveal the full orchard glowing like a constellation map. Highly detailed, cinematic, expressive motion, stable anatomy, natural environmental movement, soft atmospheric depth, polished fantasy realism."
{
  "taskType": "videoInference",
  "taskUUID": "de5cec1a-ac2d-4973-996a-e9a24a5e1351",
  "model": "klingai:kling-video@2.6-standard",
  "positivePrompt": "A nimble red fox darts through an orchard of low twisting fruit trees hung with hundreds of glowing paper lanterns, each lantern painted with tiny constellations and hand-drawn stars. Fireflies swirl in loose spirals above the grass while fallen petals and leaves scatter under the fox's paws. The camera begins with a low tracking shot following behind the fox, then arcs sideways between tree trunks, revealing a small child in a patchwork cape laughing and chasing at a distance with a wooden kite shaped like a comet. Warm amber lantern light mixes with cool blue night haze, creating rich depth and contrast. The fox leaps over a narrow stream reflecting the lanterns, lands smoothly, and pauses on a mossy stone as the camera pushes in for a brief heroic close view before pulling upward to reveal the full orchard glowing like a constellation map. Highly detailed, cinematic, expressive motion, stable anatomy, natural environmental movement, soft atmospheric depth, polished fantasy realism."
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "de5cec1a-ac2d-4973-996a-e9a24a5e1351",
  "videoUUID": "e8d39149-adad-4c70-b65a-8cbfb30c6e39",
  "videoURL": "https://vm.runware.ai/video/os/a07dlim3/ws/5/vi/e8d39149-adad-4c70-b65a-8cbfb30c6e39.mp4",
  "cost": 0.7
}