KlingAI 1.5 Standard

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',
  positivePrompt: 'Continue naturally from the supplied deep-ocean title frame. The camera makes an extremely slow, controlled push toward the severed communications cable with subtle cinematic parallax. A weak underwater current carries fine marine snow laterally across the frame and gently stirs a trace of sediment around the cable. Cold cyan light pulses once through the exposed glass fibers, traveling along individual strands before fading; tiny reflections skim across the copper shielding. The surrounding abyss remains nearly black and ominously still. Keep the title lettering “BENEATH THE SIGNAL” perfectly legible, stable, centered, and free from warping while a restrained cyan edge light gradually strengthens behind it. Photorealistic prestige investigative-documentary title sequence, measured suspense, sharp material detail, smooth temporal consistency, no cuts, no sudden camera movement, no new objects or additional text.',
  width: 1280,
  height: 720,
  duration: 5,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/adbdaedc-d590-43c5-a0a7-da1962a45b88.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",
            "positivePrompt": "Continue naturally from the supplied deep-ocean title frame. The camera makes an extremely slow, controlled push toward the severed communications cable with subtle cinematic parallax. A weak underwater current carries fine marine snow laterally across the frame and gently stirs a trace of sediment around the cable. Cold cyan light pulses once through the exposed glass fibers, traveling along individual strands before fading; tiny reflections skim across the copper shielding. The surrounding abyss remains nearly black and ominously still. Keep the title lettering “BENEATH THE SIGNAL” perfectly legible, stable, centered, and free from warping while a restrained cyan edge light gradually strengthens behind it. Photorealistic prestige investigative-documentary title sequence, measured suspense, sharp material detail, smooth temporal consistency, no cuts, no sudden camera movement, no new objects or additional text.",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/adbdaedc-d590-43c5-a0a7-da1962a45b88.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": "85cb2651-bb84-4ac6-8986-44a8b8c032d3",
      "model": "klingai:2@1",
      "positivePrompt": "Continue naturally from the supplied deep-ocean title frame. The camera makes an extremely slow, controlled push toward the severed communications cable with subtle cinematic parallax. A weak underwater current carries fine marine snow laterally across the frame and gently stirs a trace of sediment around the cable. Cold cyan light pulses once through the exposed glass fibers, traveling along individual strands before fading; tiny reflections skim across the copper shielding. The surrounding abyss remains nearly black and ominously still. Keep the title lettering “BENEATH THE SIGNAL” perfectly legible, stable, centered, and free from warping while a restrained cyan edge light gradually strengthens behind it. Photorealistic prestige investigative-documentary title sequence, measured suspense, sharp material detail, smooth temporal consistency, no cuts, no sudden camera movement, no new objects or additional text.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/adbdaedc-d590-43c5-a0a7-da1962a45b88.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run klingai:2@1 \
  positivePrompt="Continue naturally from the supplied deep-ocean title frame. The camera makes an extremely slow, controlled push toward the severed communications cable with subtle cinematic parallax. A weak underwater current carries fine marine snow laterally across the frame and gently stirs a trace of sediment around the cable. Cold cyan light pulses once through the exposed glass fibers, traveling along individual strands before fading; tiny reflections skim across the copper shielding. The surrounding abyss remains nearly black and ominously still. Keep the title lettering “BENEATH THE SIGNAL” perfectly legible, stable, centered, and free from warping while a restrained cyan edge light gradually strengthens behind it. Photorealistic prestige investigative-documentary title sequence, measured suspense, sharp material detail, smooth temporal consistency, no cuts, no sudden camera movement, no new objects or additional text." \
  width=1280 \
  height=720 \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/adbdaedc-d590-43c5-a0a7-da1962a45b88.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "85cb2651-bb84-4ac6-8986-44a8b8c032d3",
  "model": "klingai:2@1",
  "positivePrompt": "Continue naturally from the supplied deep-ocean title frame. The camera makes an extremely slow, controlled push toward the severed communications cable with subtle cinematic parallax. A weak underwater current carries fine marine snow laterally across the frame and gently stirs a trace of sediment around the cable. Cold cyan light pulses once through the exposed glass fibers, traveling along individual strands before fading; tiny reflections skim across the copper shielding. The surrounding abyss remains nearly black and ominously still. Keep the title lettering “BENEATH THE SIGNAL” perfectly legible, stable, centered, and free from warping while a restrained cyan edge light gradually strengthens behind it. Photorealistic prestige investigative-documentary title sequence, measured suspense, sharp material detail, smooth temporal consistency, no cuts, no sudden camera movement, no new objects or additional text.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/adbdaedc-d590-43c5-a0a7-da1962a45b88.jpg",
        "frame": "first"
      }
    ]
  }
}

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',
  positivePrompt: 'Continue naturally from the supplied campaign photograph as a polished five-second technical-fashion showcase shot. The beekeeper calmly lowers the hand resting on her veil, turns her shoulders slightly toward camera, and takes one measured step forward, allowing the structured ivory suit, articulated panels, utility pockets, and pale yellow gloves to move naturally. A soft greenhouse draft produces subtle motion in the mesh veil and loose fabric without obscuring the garment. A small, believable cluster of bees drifts through the sunbeam behind her while nearby plant leaves stir gently. The camera performs a slow, stable dolly inward with slight lateral parallax, preserving her full silhouette before settling into a three-quarter view that emphasizes tailoring and material detail. Maintain the exact model, clothing design, glasshouse apiary, hive boxes, graphic sunlight, crisp shadows, and restrained ivory, green, sulfur-yellow, and terracotta palette from the first frame. Premium specialist workwear launch reel, photorealistic motion, consistent anatomy, sharp textile detail, controlled editorial confidence, no cuts, no text, no logos.',
  width: 1280,
  height: 720,
  duration: 5,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/f9cced7b-65e3-444a-9250-32e7cca6f467.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",
            "positivePrompt": "Continue naturally from the supplied campaign photograph as a polished five-second technical-fashion showcase shot. The beekeeper calmly lowers the hand resting on her veil, turns her shoulders slightly toward camera, and takes one measured step forward, allowing the structured ivory suit, articulated panels, utility pockets, and pale yellow gloves to move naturally. A soft greenhouse draft produces subtle motion in the mesh veil and loose fabric without obscuring the garment. A small, believable cluster of bees drifts through the sunbeam behind her while nearby plant leaves stir gently. The camera performs a slow, stable dolly inward with slight lateral parallax, preserving her full silhouette before settling into a three-quarter view that emphasizes tailoring and material detail. Maintain the exact model, clothing design, glasshouse apiary, hive boxes, graphic sunlight, crisp shadows, and restrained ivory, green, sulfur-yellow, and terracotta palette from the first frame. Premium specialist workwear launch reel, photorealistic motion, consistent anatomy, sharp textile detail, controlled editorial confidence, no cuts, no text, no logos.",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/f9cced7b-65e3-444a-9250-32e7cca6f467.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": "8840a3b9-320f-4929-8cab-c379843d1d18",
      "model": "klingai:2@1",
      "positivePrompt": "Continue naturally from the supplied campaign photograph as a polished five-second technical-fashion showcase shot. The beekeeper calmly lowers the hand resting on her veil, turns her shoulders slightly toward camera, and takes one measured step forward, allowing the structured ivory suit, articulated panels, utility pockets, and pale yellow gloves to move naturally. A soft greenhouse draft produces subtle motion in the mesh veil and loose fabric without obscuring the garment. A small, believable cluster of bees drifts through the sunbeam behind her while nearby plant leaves stir gently. The camera performs a slow, stable dolly inward with slight lateral parallax, preserving her full silhouette before settling into a three-quarter view that emphasizes tailoring and material detail. Maintain the exact model, clothing design, glasshouse apiary, hive boxes, graphic sunlight, crisp shadows, and restrained ivory, green, sulfur-yellow, and terracotta palette from the first frame. Premium specialist workwear launch reel, photorealistic motion, consistent anatomy, sharp textile detail, controlled editorial confidence, no cuts, no text, no logos.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/f9cced7b-65e3-444a-9250-32e7cca6f467.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run klingai:2@1 \
  positivePrompt="Continue naturally from the supplied campaign photograph as a polished five-second technical-fashion showcase shot. The beekeeper calmly lowers the hand resting on her veil, turns her shoulders slightly toward camera, and takes one measured step forward, allowing the structured ivory suit, articulated panels, utility pockets, and pale yellow gloves to move naturally. A soft greenhouse draft produces subtle motion in the mesh veil and loose fabric without obscuring the garment. A small, believable cluster of bees drifts through the sunbeam behind her while nearby plant leaves stir gently. The camera performs a slow, stable dolly inward with slight lateral parallax, preserving her full silhouette before settling into a three-quarter view that emphasizes tailoring and material detail. Maintain the exact model, clothing design, glasshouse apiary, hive boxes, graphic sunlight, crisp shadows, and restrained ivory, green, sulfur-yellow, and terracotta palette from the first frame. Premium specialist workwear launch reel, photorealistic motion, consistent anatomy, sharp textile detail, controlled editorial confidence, no cuts, no text, no logos." \
  width=1280 \
  height=720 \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/f9cced7b-65e3-444a-9250-32e7cca6f467.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "8840a3b9-320f-4929-8cab-c379843d1d18",
  "model": "klingai:2@1",
  "positivePrompt": "Continue naturally from the supplied campaign photograph as a polished five-second technical-fashion showcase shot. The beekeeper calmly lowers the hand resting on her veil, turns her shoulders slightly toward camera, and takes one measured step forward, allowing the structured ivory suit, articulated panels, utility pockets, and pale yellow gloves to move naturally. A soft greenhouse draft produces subtle motion in the mesh veil and loose fabric without obscuring the garment. A small, believable cluster of bees drifts through the sunbeam behind her while nearby plant leaves stir gently. The camera performs a slow, stable dolly inward with slight lateral parallax, preserving her full silhouette before settling into a three-quarter view that emphasizes tailoring and material detail. Maintain the exact model, clothing design, glasshouse apiary, hive boxes, graphic sunlight, crisp shadows, and restrained ivory, green, sulfur-yellow, and terracotta palette from the first frame. Premium specialist workwear launch reel, photorealistic motion, consistent anatomy, sharp textile detail, controlled editorial confidence, no cuts, no text, no logos.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/f9cced7b-65e3-444a-9250-32e7cca6f467.jpg",
        "frame": "first"
      }
    ]
  }
}

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',
  positivePrompt: 'Continue naturally from the supplied SILTLINE logo frame as a refined five-second motion ident. Keep the camera locked and preserve the exact wordmark, spelling, typography, colors, proportions, and centered layout throughout. The five bone-white sediment bands inside the circular emblem begin a subtle, fluid lateral drift at slightly different speeds, like layered river currents viewed in cross-section. The fluorescent-coral sonar dot travels smoothly along one band, emits two restrained circular pulses, and causes a gentle localized ripple through the strata before they settle. Motion remains clean, flat, and vector-like with crisp edges and no added objects. The word SILTLINE stays perfectly stable and legible. Finish with every band, pulse, and dot returning to the original first-frame position for a seamless loop. No camera movement, cuts, flicker, warping, extra text, particles, shadows, or background changes.',
  width: 1280,
  height: 720,
  duration: 5,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/0fde4421-697f-434f-bf9c-396ab1cd4794.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",
            "positivePrompt": "Continue naturally from the supplied SILTLINE logo frame as a refined five-second motion ident. Keep the camera locked and preserve the exact wordmark, spelling, typography, colors, proportions, and centered layout throughout. The five bone-white sediment bands inside the circular emblem begin a subtle, fluid lateral drift at slightly different speeds, like layered river currents viewed in cross-section. The fluorescent-coral sonar dot travels smoothly along one band, emits two restrained circular pulses, and causes a gentle localized ripple through the strata before they settle. Motion remains clean, flat, and vector-like with crisp edges and no added objects. The word SILTLINE stays perfectly stable and legible. Finish with every band, pulse, and dot returning to the original first-frame position for a seamless loop. No camera movement, cuts, flicker, warping, extra text, particles, shadows, or background changes.",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/0fde4421-697f-434f-bf9c-396ab1cd4794.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": "6a24b91b-70d3-43f6-8f52-e5915d6c925e",
      "model": "klingai:2@1",
      "positivePrompt": "Continue naturally from the supplied SILTLINE logo frame as a refined five-second motion ident. Keep the camera locked and preserve the exact wordmark, spelling, typography, colors, proportions, and centered layout throughout. The five bone-white sediment bands inside the circular emblem begin a subtle, fluid lateral drift at slightly different speeds, like layered river currents viewed in cross-section. The fluorescent-coral sonar dot travels smoothly along one band, emits two restrained circular pulses, and causes a gentle localized ripple through the strata before they settle. Motion remains clean, flat, and vector-like with crisp edges and no added objects. The word SILTLINE stays perfectly stable and legible. Finish with every band, pulse, and dot returning to the original first-frame position for a seamless loop. No camera movement, cuts, flicker, warping, extra text, particles, shadows, or background changes.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/0fde4421-697f-434f-bf9c-396ab1cd4794.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run klingai:2@1 \
  positivePrompt="Continue naturally from the supplied SILTLINE logo frame as a refined five-second motion ident. Keep the camera locked and preserve the exact wordmark, spelling, typography, colors, proportions, and centered layout throughout. The five bone-white sediment bands inside the circular emblem begin a subtle, fluid lateral drift at slightly different speeds, like layered river currents viewed in cross-section. The fluorescent-coral sonar dot travels smoothly along one band, emits two restrained circular pulses, and causes a gentle localized ripple through the strata before they settle. Motion remains clean, flat, and vector-like with crisp edges and no added objects. The word SILTLINE stays perfectly stable and legible. Finish with every band, pulse, and dot returning to the original first-frame position for a seamless loop. No camera movement, cuts, flicker, warping, extra text, particles, shadows, or background changes." \
  width=1280 \
  height=720 \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/0fde4421-697f-434f-bf9c-396ab1cd4794.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "6a24b91b-70d3-43f6-8f52-e5915d6c925e",
  "model": "klingai:2@1",
  "positivePrompt": "Continue naturally from the supplied SILTLINE logo frame as a refined five-second motion ident. Keep the camera locked and preserve the exact wordmark, spelling, typography, colors, proportions, and centered layout throughout. The five bone-white sediment bands inside the circular emblem begin a subtle, fluid lateral drift at slightly different speeds, like layered river currents viewed in cross-section. The fluorescent-coral sonar dot travels smoothly along one band, emits two restrained circular pulses, and causes a gentle localized ripple through the strata before they settle. Motion remains clean, flat, and vector-like with crisp edges and no added objects. The word SILTLINE stays perfectly stable and legible. Finish with every band, pulse, and dot returning to the original first-frame position for a seamless loop. No camera movement, cuts, flicker, warping, extra text, particles, shadows, or background changes.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/0fde4421-697f-434f-bf9c-396ab1cd4794.jpg",
        "frame": "first"
      }
    ]
  }
}

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',
  positivePrompt: 'Continue naturally from the supplied product photograph as one polished five-second showcase shot. The circular turntable begins a slow, precise clockwise rotation while the camera performs a restrained arc in the opposite direction, creating elegant parallax and revealing the prosthesis from three-quarter front toward its carbon-fiber rear profile. Keep the entire prosthetic leg rigid, dimensionally consistent, upright, and sharply resolved. A narrow band of hard studio light travels gradually across the aubergine lacquer, then catches the brushed-titanium ankle joint and woven carbon texture; the long geometric floor shadow shifts naturally with the rotation. Add only subtle realistic reflections on the dark satin floor. Smooth luxury product cinematography, controlled mechanical movement, premium industrial-design mood, persimmon, aubergine, black, and cool titanium palette. Finish on a strong side profile with the ankle engineering clearly visible. Single continuous shot, no cuts, no people, no text, no logo, no added objects.',
  width: 1280,
  height: 720,
  duration: 5,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/678a5209-143e-4d8a-a71e-f2835d336f1f.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",
            "positivePrompt": "Continue naturally from the supplied product photograph as one polished five-second showcase shot. The circular turntable begins a slow, precise clockwise rotation while the camera performs a restrained arc in the opposite direction, creating elegant parallax and revealing the prosthesis from three-quarter front toward its carbon-fiber rear profile. Keep the entire prosthetic leg rigid, dimensionally consistent, upright, and sharply resolved. A narrow band of hard studio light travels gradually across the aubergine lacquer, then catches the brushed-titanium ankle joint and woven carbon texture; the long geometric floor shadow shifts naturally with the rotation. Add only subtle realistic reflections on the dark satin floor. Smooth luxury product cinematography, controlled mechanical movement, premium industrial-design mood, persimmon, aubergine, black, and cool titanium palette. Finish on a strong side profile with the ankle engineering clearly visible. Single continuous shot, no cuts, no people, no text, no logo, no added objects.",
            "width": 1280,
            "height": 720,
            "duration": 5,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/678a5209-143e-4d8a-a71e-f2835d336f1f.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": "a77a2beb-457e-4271-95b2-8c03484f6af0",
      "model": "klingai:2@1",
      "positivePrompt": "Continue naturally from the supplied product photograph as one polished five-second showcase shot. The circular turntable begins a slow, precise clockwise rotation while the camera performs a restrained arc in the opposite direction, creating elegant parallax and revealing the prosthesis from three-quarter front toward its carbon-fiber rear profile. Keep the entire prosthetic leg rigid, dimensionally consistent, upright, and sharply resolved. A narrow band of hard studio light travels gradually across the aubergine lacquer, then catches the brushed-titanium ankle joint and woven carbon texture; the long geometric floor shadow shifts naturally with the rotation. Add only subtle realistic reflections on the dark satin floor. Smooth luxury product cinematography, controlled mechanical movement, premium industrial-design mood, persimmon, aubergine, black, and cool titanium palette. Finish on a strong side profile with the ankle engineering clearly visible. Single continuous shot, no cuts, no people, no text, no logo, no added objects.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/678a5209-143e-4d8a-a71e-f2835d336f1f.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run klingai:2@1 \
  positivePrompt="Continue naturally from the supplied product photograph as one polished five-second showcase shot. The circular turntable begins a slow, precise clockwise rotation while the camera performs a restrained arc in the opposite direction, creating elegant parallax and revealing the prosthesis from three-quarter front toward its carbon-fiber rear profile. Keep the entire prosthetic leg rigid, dimensionally consistent, upright, and sharply resolved. A narrow band of hard studio light travels gradually across the aubergine lacquer, then catches the brushed-titanium ankle joint and woven carbon texture; the long geometric floor shadow shifts naturally with the rotation. Add only subtle realistic reflections on the dark satin floor. Smooth luxury product cinematography, controlled mechanical movement, premium industrial-design mood, persimmon, aubergine, black, and cool titanium palette. Finish on a strong side profile with the ankle engineering clearly visible. Single continuous shot, no cuts, no people, no text, no logo, no added objects." \
  width=1280 \
  height=720 \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/678a5209-143e-4d8a-a71e-f2835d336f1f.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "a77a2beb-457e-4271-95b2-8c03484f6af0",
  "model": "klingai:2@1",
  "positivePrompt": "Continue naturally from the supplied product photograph as one polished five-second showcase shot. The circular turntable begins a slow, precise clockwise rotation while the camera performs a restrained arc in the opposite direction, creating elegant parallax and revealing the prosthesis from three-quarter front toward its carbon-fiber rear profile. Keep the entire prosthetic leg rigid, dimensionally consistent, upright, and sharply resolved. A narrow band of hard studio light travels gradually across the aubergine lacquer, then catches the brushed-titanium ankle joint and woven carbon texture; the long geometric floor shadow shifts naturally with the rotation. Add only subtle realistic reflections on the dark satin floor. Smooth luxury product cinematography, controlled mechanical movement, premium industrial-design mood, persimmon, aubergine, black, and cool titanium palette. Finish on a strong side profile with the ankle engineering clearly visible. Single continuous shot, no cuts, no people, no text, no logo, no added objects.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/678a5209-143e-4d8a-a71e-f2835d336f1f.jpg",
        "frame": "first"
      }
    ]
  }
}

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"
      }
    ]
  }
}

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"
      }
    ]
  }
}

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"
      }
    ]
  }
}

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"
      }
    ]
  }
}