MODEL IDklingai:kling@o1-standard
live

Kling VIDEO O1 Standard

Kling AI
by Kling AI

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

Kling VIDEO O1 Standard
text-to-video

Archaeological Site Night-Lighting Study

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@o1-standard',
  positivePrompt: 'Landscape architectural visualization for a heritage-lighting proposal at a coastal Roman bath excavation. A preserved limestone bathing pool, low ruined walls, weathered columns and a narrow timber visitor walkway fill the wide composition, with silver-green coastal scrub beyond. Begin in soft, overcast late-afternoon daylight, every stone clearly legible in neutral natural color. Over five seconds, transition continuously and realistically into deep blue hour: the sky cools to indigo, ambient daylight falls, and discreet conservation-grade lighting activates in sequence. Narrow warm-white grazing lights reveal the wall textures, recessed walkway markers form a restrained line through the ruins, and a subtle underwater glow outlines the empty tiled pool without becoming theatrical. Maintain identical architecture and spatial layout throughout the relight. A very slow stabilized dolly forward creates gentle parallax; grasses move lightly in the sea breeze while the structures remain still. Photorealistic high-end architectural film, natural exposure adaptation, accurate stone texture, controlled highlights, cool blue surroundings balanced with soft ivory illumination, quiet museum-grade atmosphere, no people, no signage, no text, no logos.',
  width: 1280,
  height: 720,
  duration: 5
})
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@o1-standard",
            "positivePrompt": "Landscape architectural visualization for a heritage-lighting proposal at a coastal Roman bath excavation. A preserved limestone bathing pool, low ruined walls, weathered columns and a narrow timber visitor walkway fill the wide composition, with silver-green coastal scrub beyond. Begin in soft, overcast late-afternoon daylight, every stone clearly legible in neutral natural color. Over five seconds, transition continuously and realistically into deep blue hour: the sky cools to indigo, ambient daylight falls, and discreet conservation-grade lighting activates in sequence. Narrow warm-white grazing lights reveal the wall textures, recessed walkway markers form a restrained line through the ruins, and a subtle underwater glow outlines the empty tiled pool without becoming theatrical. Maintain identical architecture and spatial layout throughout the relight. A very slow stabilized dolly forward creates gentle parallax; grasses move lightly in the sea breeze while the structures remain still. Photorealistic high-end architectural film, natural exposure adaptation, accurate stone texture, controlled highlights, cool blue surroundings balanced with soft ivory illumination, quiet museum-grade atmosphere, no people, no signage, no text, no logos.",
            "width": 1280,
            "height": 720,
            "duration": 5
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "a207c154-592c-4fed-a1ad-ed2a54c6058d",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Landscape architectural visualization for a heritage-lighting proposal at a coastal Roman bath excavation. A preserved limestone bathing pool, low ruined walls, weathered columns and a narrow timber visitor walkway fill the wide composition, with silver-green coastal scrub beyond. Begin in soft, overcast late-afternoon daylight, every stone clearly legible in neutral natural color. Over five seconds, transition continuously and realistically into deep blue hour: the sky cools to indigo, ambient daylight falls, and discreet conservation-grade lighting activates in sequence. Narrow warm-white grazing lights reveal the wall textures, recessed walkway markers form a restrained line through the ruins, and a subtle underwater glow outlines the empty tiled pool without becoming theatrical. Maintain identical architecture and spatial layout throughout the relight. A very slow stabilized dolly forward creates gentle parallax; grasses move lightly in the sea breeze while the structures remain still. Photorealistic high-end architectural film, natural exposure adaptation, accurate stone texture, controlled highlights, cool blue surroundings balanced with soft ivory illumination, quiet museum-grade atmosphere, no people, no signage, no text, no logos.",
      "width": 1280,
      "height": 720,
      "duration": 5
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Landscape architectural visualization for a heritage-lighting proposal at a coastal Roman bath excavation. A preserved limestone bathing pool, low ruined walls, weathered columns and a narrow timber visitor walkway fill the wide composition, with silver-green coastal scrub beyond. Begin in soft, overcast late-afternoon daylight, every stone clearly legible in neutral natural color. Over five seconds, transition continuously and realistically into deep blue hour: the sky cools to indigo, ambient daylight falls, and discreet conservation-grade lighting activates in sequence. Narrow warm-white grazing lights reveal the wall textures, recessed walkway markers form a restrained line through the ruins, and a subtle underwater glow outlines the empty tiled pool without becoming theatrical. Maintain identical architecture and spatial layout throughout the relight. A very slow stabilized dolly forward creates gentle parallax; grasses move lightly in the sea breeze while the structures remain still. Photorealistic high-end architectural film, natural exposure adaptation, accurate stone texture, controlled highlights, cool blue surroundings balanced with soft ivory illumination, quiet museum-grade atmosphere, no people, no signage, no text, no logos." \
  width=1280 \
  height=720 \
  duration=5
{
  "taskType": "videoInference",
  "taskUUID": "a207c154-592c-4fed-a1ad-ed2a54c6058d",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Landscape architectural visualization for a heritage-lighting proposal at a coastal Roman bath excavation. A preserved limestone bathing pool, low ruined walls, weathered columns and a narrow timber visitor walkway fill the wide composition, with silver-green coastal scrub beyond. Begin in soft, overcast late-afternoon daylight, every stone clearly legible in neutral natural color. Over five seconds, transition continuously and realistically into deep blue hour: the sky cools to indigo, ambient daylight falls, and discreet conservation-grade lighting activates in sequence. Narrow warm-white grazing lights reveal the wall textures, recessed walkway markers form a restrained line through the ruins, and a subtle underwater glow outlines the empty tiled pool without becoming theatrical. Maintain identical architecture and spatial layout throughout the relight. A very slow stabilized dolly forward creates gentle parallax; grasses move lightly in the sea breeze while the structures remain still. Photorealistic high-end architectural film, natural exposure adaptation, accurate stone texture, controlled highlights, cool blue surroundings balanced with soft ivory illumination, quiet museum-grade atmosphere, no people, no signage, no text, no logos.",
  "width": 1280,
  "height": 720,
  "duration": 5
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "a207c154-592c-4fed-a1ad-ed2a54c6058d",
  "videoUUID": "b66c43b5-c997-4a80-b48b-44480a16443a",
  "videoURL": "https://vm.runware.ai/video/os/a09dlim3/ws/5/vi/b66c43b5-c997-4a80-b48b-44480a16443a.mp4",
  "cost": 0.42
}
first-frame

Submarine Cable Drama Title Sequence

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@o1-standard',
  positivePrompt: 'Continue naturally from the supplied first frame as a single elegant ten-second historical-drama title shot. The camera begins a slow, steady push toward the exposed copper core while a narrow band of cold light travels across the blueprint like a scanning beam. Fine copper filaments loosen from the cable and glide outward with controlled mechanical tension, tracing a transatlantic route across the paper. Subtle water-caustic shadows pass over the table, the blueprint edges lift in a faint draft, brass dividers tremble, and tiny graphite dust catches the light. The camera lowers from overhead into a shallow raking angle and tracks beside the moving copper line. During the final three seconds, the filaments settle into refined, widely spaced serif capitals reading “THE SILENT LINE,” physically formed from copper wire on the blueprint. Hold briefly on the complete, clearly legible title. Cold cyanotype blue, oxidized copper, charcoal black, tactile practical effects, restrained film grain, precise period detail, ominous prestige-miniseries mood, smooth cinematic motion, no cuts, no people, no additional words, logos, subtitles, or modern objects.',
  duration: 10,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/7ce1a9a3-6cc1-4b24-919e-7e08f527c118.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:kling@o1-standard",
            "positivePrompt": "Continue naturally from the supplied first frame as a single elegant ten-second historical-drama title shot. The camera begins a slow, steady push toward the exposed copper core while a narrow band of cold light travels across the blueprint like a scanning beam. Fine copper filaments loosen from the cable and glide outward with controlled mechanical tension, tracing a transatlantic route across the paper. Subtle water-caustic shadows pass over the table, the blueprint edges lift in a faint draft, brass dividers tremble, and tiny graphite dust catches the light. The camera lowers from overhead into a shallow raking angle and tracks beside the moving copper line. During the final three seconds, the filaments settle into refined, widely spaced serif capitals reading “THE SILENT LINE,” physically formed from copper wire on the blueprint. Hold briefly on the complete, clearly legible title. Cold cyanotype blue, oxidized copper, charcoal black, tactile practical effects, restrained film grain, precise period detail, ominous prestige-miniseries mood, smooth cinematic motion, no cuts, no people, no additional words, logos, subtitles, or modern objects.",
            "duration": 10,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/7ce1a9a3-6cc1-4b24-919e-7e08f527c118.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": "58cbd9ac-9859-4bc6-93b9-7ef24eef50a7",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Continue naturally from the supplied first frame as a single elegant ten-second historical-drama title shot. The camera begins a slow, steady push toward the exposed copper core while a narrow band of cold light travels across the blueprint like a scanning beam. Fine copper filaments loosen from the cable and glide outward with controlled mechanical tension, tracing a transatlantic route across the paper. Subtle water-caustic shadows pass over the table, the blueprint edges lift in a faint draft, brass dividers tremble, and tiny graphite dust catches the light. The camera lowers from overhead into a shallow raking angle and tracks beside the moving copper line. During the final three seconds, the filaments settle into refined, widely spaced serif capitals reading “THE SILENT LINE,” physically formed from copper wire on the blueprint. Hold briefly on the complete, clearly legible title. Cold cyanotype blue, oxidized copper, charcoal black, tactile practical effects, restrained film grain, precise period detail, ominous prestige-miniseries mood, smooth cinematic motion, no cuts, no people, no additional words, logos, subtitles, or modern objects.",
      "duration": 10,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/7ce1a9a3-6cc1-4b24-919e-7e08f527c118.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Continue naturally from the supplied first frame as a single elegant ten-second historical-drama title shot. The camera begins a slow, steady push toward the exposed copper core while a narrow band of cold light travels across the blueprint like a scanning beam. Fine copper filaments loosen from the cable and glide outward with controlled mechanical tension, tracing a transatlantic route across the paper. Subtle water-caustic shadows pass over the table, the blueprint edges lift in a faint draft, brass dividers tremble, and tiny graphite dust catches the light. The camera lowers from overhead into a shallow raking angle and tracks beside the moving copper line. During the final three seconds, the filaments settle into refined, widely spaced serif capitals reading “THE SILENT LINE,” physically formed from copper wire on the blueprint. Hold briefly on the complete, clearly legible title. Cold cyanotype blue, oxidized copper, charcoal black, tactile practical effects, restrained film grain, precise period detail, ominous prestige-miniseries mood, smooth cinematic motion, no cuts, no people, no additional words, logos, subtitles, or modern objects." \
  duration=10 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/7ce1a9a3-6cc1-4b24-919e-7e08f527c118.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "58cbd9ac-9859-4bc6-93b9-7ef24eef50a7",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Continue naturally from the supplied first frame as a single elegant ten-second historical-drama title shot. The camera begins a slow, steady push toward the exposed copper core while a narrow band of cold light travels across the blueprint like a scanning beam. Fine copper filaments loosen from the cable and glide outward with controlled mechanical tension, tracing a transatlantic route across the paper. Subtle water-caustic shadows pass over the table, the blueprint edges lift in a faint draft, brass dividers tremble, and tiny graphite dust catches the light. The camera lowers from overhead into a shallow raking angle and tracks beside the moving copper line. During the final three seconds, the filaments settle into refined, widely spaced serif capitals reading “THE SILENT LINE,” physically formed from copper wire on the blueprint. Hold briefly on the complete, clearly legible title. Cold cyanotype blue, oxidized copper, charcoal black, tactile practical effects, restrained film grain, precise period detail, ominous prestige-miniseries mood, smooth cinematic motion, no cuts, no people, no additional words, logos, subtitles, or modern objects.",
  "duration": 10,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/7ce1a9a3-6cc1-4b24-919e-7e08f527c118.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "58cbd9ac-9859-4bc6-93b9-7ef24eef50a7",
  "videoUUID": "d0d9adf4-7f8c-4be7-9555-bcc6668622cc",
  "videoURL": "https://vm.runware.ai/video/os/a01d21/ws/5/vi/d0d9adf4-7f8c-4be7-9555-bcc6668622cc.mp4",
  "cost": 0.84
}
first-last-frame

Wildfire Crew Roster Update

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@o1-standard',
  positivePrompt: 'Create a seamless five-second, single-take transition from the opening crew portrait to the final expanded group portrait. Preserve the same seven crew members, faces, uniforms, helicopter, mountain airfield, composition, weather and morning light throughout. A black-and-white border collie in an orange search-and-rescue vest trots naturally into frame from camera right toward the intentional gap in the front row. The kneeling handler gives one small welcoming hand signal; nearby crew members glance down and shift only slightly while keeping their group formation. The dog slows, turns toward camera and sits neatly beside the handler. She rests one hand on its shoulder, and the full crew settles into the confident final portrait with subtle smiles. Use a gentle stabilized camera push-in with minimal handheld documentary texture, physically accurate footsteps, fabric and fur motion, consistent scale and perspective. No cuts, dissolves, duplicated people, extra animals, wardrobe changes, helicopter movement, text or logos.',
  duration: 5,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/f4536d22-033b-4b26-8c50-bb8b0abb370d.jpg',
        frame: 'first'
      },
      {
        image: 'https://assets.runware.ai/assets/inputs/6bb59323-6d24-438d-9c92-ae94a702bd9f.jpg',
        frame: 'last'
      }
    ]
  }
})
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@o1-standard",
            "positivePrompt": "Create a seamless five-second, single-take transition from the opening crew portrait to the final expanded group portrait. Preserve the same seven crew members, faces, uniforms, helicopter, mountain airfield, composition, weather and morning light throughout. A black-and-white border collie in an orange search-and-rescue vest trots naturally into frame from camera right toward the intentional gap in the front row. The kneeling handler gives one small welcoming hand signal; nearby crew members glance down and shift only slightly while keeping their group formation. The dog slows, turns toward camera and sits neatly beside the handler. She rests one hand on its shoulder, and the full crew settles into the confident final portrait with subtle smiles. Use a gentle stabilized camera push-in with minimal handheld documentary texture, physically accurate footsteps, fabric and fur motion, consistent scale and perspective. No cuts, dissolves, duplicated people, extra animals, wardrobe changes, helicopter movement, text or logos.",
            "duration": 5,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/f4536d22-033b-4b26-8c50-bb8b0abb370d.jpg",
                        "frame": "first"
                    },
                    {
                        "image": "https://assets.runware.ai/assets/inputs/6bb59323-6d24-438d-9c92-ae94a702bd9f.jpg",
                        "frame": "last"
                    }
                ]
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "9c6085ac-0b75-4baf-a9a3-0d597c667550",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Create a seamless five-second, single-take transition from the opening crew portrait to the final expanded group portrait. Preserve the same seven crew members, faces, uniforms, helicopter, mountain airfield, composition, weather and morning light throughout. A black-and-white border collie in an orange search-and-rescue vest trots naturally into frame from camera right toward the intentional gap in the front row. The kneeling handler gives one small welcoming hand signal; nearby crew members glance down and shift only slightly while keeping their group formation. The dog slows, turns toward camera and sits neatly beside the handler. She rests one hand on its shoulder, and the full crew settles into the confident final portrait with subtle smiles. Use a gentle stabilized camera push-in with minimal handheld documentary texture, physically accurate footsteps, fabric and fur motion, consistent scale and perspective. No cuts, dissolves, duplicated people, extra animals, wardrobe changes, helicopter movement, text or logos.",
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/f4536d22-033b-4b26-8c50-bb8b0abb370d.jpg",
            "frame": "first"
          },
          {
            "image": "https://assets.runware.ai/assets/inputs/6bb59323-6d24-438d-9c92-ae94a702bd9f.jpg",
            "frame": "last"
          }
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Create a seamless five-second, single-take transition from the opening crew portrait to the final expanded group portrait. Preserve the same seven crew members, faces, uniforms, helicopter, mountain airfield, composition, weather and morning light throughout. A black-and-white border collie in an orange search-and-rescue vest trots naturally into frame from camera right toward the intentional gap in the front row. The kneeling handler gives one small welcoming hand signal; nearby crew members glance down and shift only slightly while keeping their group formation. The dog slows, turns toward camera and sits neatly beside the handler. She rests one hand on its shoulder, and the full crew settles into the confident final portrait with subtle smiles. Use a gentle stabilized camera push-in with minimal handheld documentary texture, physically accurate footsteps, fabric and fur motion, consistent scale and perspective. No cuts, dissolves, duplicated people, extra animals, wardrobe changes, helicopter movement, text or logos." \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/f4536d22-033b-4b26-8c50-bb8b0abb370d.jpg \
  inputs.frameImages.0.frame=first \
  inputs.frameImages.1.image=https://assets.runware.ai/assets/inputs/6bb59323-6d24-438d-9c92-ae94a702bd9f.jpg \
  inputs.frameImages.1.frame=last
{
  "taskType": "videoInference",
  "taskUUID": "9c6085ac-0b75-4baf-a9a3-0d597c667550",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Create a seamless five-second, single-take transition from the opening crew portrait to the final expanded group portrait. Preserve the same seven crew members, faces, uniforms, helicopter, mountain airfield, composition, weather and morning light throughout. A black-and-white border collie in an orange search-and-rescue vest trots naturally into frame from camera right toward the intentional gap in the front row. The kneeling handler gives one small welcoming hand signal; nearby crew members glance down and shift only slightly while keeping their group formation. The dog slows, turns toward camera and sits neatly beside the handler. She rests one hand on its shoulder, and the full crew settles into the confident final portrait with subtle smiles. Use a gentle stabilized camera push-in with minimal handheld documentary texture, physically accurate footsteps, fabric and fur motion, consistent scale and perspective. No cuts, dissolves, duplicated people, extra animals, wardrobe changes, helicopter movement, text or logos.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/f4536d22-033b-4b26-8c50-bb8b0abb370d.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/6bb59323-6d24-438d-9c92-ae94a702bd9f.jpg",
        "frame": "last"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "9c6085ac-0b75-4baf-a9a3-0d597c667550",
  "videoUUID": "409d31e3-030b-43c5-8c63-5ea689ce8261",
  "videoURL": "https://vm.runware.ai/video/os/a06dlim3/ws/5/vi/409d31e3-030b-43c5-8c63-5ea689ce8261.mp4",
  "cost": 0.42
}
reference-to-video

Museum Conservation Vertical Outpaint

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@o1-standard',
  positivePrompt: 'Create a seamless 9:16 portrait outpaint of the reference video for a natural-history museum conservation social reel. Preserve the reference video as the exact central horizontal band: retain every original subject, pixel-level composition, timing, hand movement, butterfly anatomy, microscope position, lighting direction and documentary realism. Do not crop, stretch, zoom or replace the source action. Extend the canvas substantially above and below it. Use reference image 1 to construct the upper extension: continue the conservator\'s white lab coat and posture naturally upward, with the stereo microscope, pale cyan task light, white specimen cabinets and archival drawers aligned in correct perspective. Use reference image 2 to construct the lower extension: continue the work surface downward with bone-white archival board, stainless forceps, sable brush, glass weights, tissue and specimen tags arranged with museum-lab precision. Generated hands, sleeves, table edges and microscope supports must join the source band invisibly with consistent scale, lens depth, shadows and color. Motion outside the original frame should remain subtle and physically connected: slight sleeve movement from the brushing action, minute task-light shimmer and barely moving tissue from ventilation. Carry forward the reference video\'s quiet clinical atmosphere and delicate conservation foley. Cool cyan, white, silver and electric Morpho blue palette; observational science documentary style; no captions, logos, borders, split screens or visible seams.',
  width: 720,
  height: 1280,
  duration: 7,
  providerSettings: {
    klingai: {
      keepOriginalSound: true
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/13fae6c9-5b0d-4619-9db9-c0a10ead74a7.jpg',
      'https://assets.runware.ai/assets/inputs/5e1dfa7f-e8e9-47f0-98a8-227c5babfd77.jpg'
    ],
    referenceVideos: [
      'https://assets.runware.ai/assets/inputs/e4349347-6379-4ae2-9ed0-732c2b65796d.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@o1-standard",
            "positivePrompt": "Create a seamless 9:16 portrait outpaint of the reference video for a natural-history museum conservation social reel. Preserve the reference video as the exact central horizontal band: retain every original subject, pixel-level composition, timing, hand movement, butterfly anatomy, microscope position, lighting direction and documentary realism. Do not crop, stretch, zoom or replace the source action. Extend the canvas substantially above and below it. Use reference image 1 to construct the upper extension: continue the conservator's white lab coat and posture naturally upward, with the stereo microscope, pale cyan task light, white specimen cabinets and archival drawers aligned in correct perspective. Use reference image 2 to construct the lower extension: continue the work surface downward with bone-white archival board, stainless forceps, sable brush, glass weights, tissue and specimen tags arranged with museum-lab precision. Generated hands, sleeves, table edges and microscope supports must join the source band invisibly with consistent scale, lens depth, shadows and color. Motion outside the original frame should remain subtle and physically connected: slight sleeve movement from the brushing action, minute task-light shimmer and barely moving tissue from ventilation. Carry forward the reference video's quiet clinical atmosphere and delicate conservation foley. Cool cyan, white, silver and electric Morpho blue palette; observational science documentary style; no captions, logos, borders, split screens or visible seams.",
            "width": 720,
            "height": 1280,
            "duration": 7,
            "providerSettings": {
                "klingai": {
                    "keepOriginalSound": True
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/13fae6c9-5b0d-4619-9db9-c0a10ead74a7.jpg",
                    "https://assets.runware.ai/assets/inputs/5e1dfa7f-e8e9-47f0-98a8-227c5babfd77.jpg"
                ],
                "referenceVideos": [
                    "https://assets.runware.ai/assets/inputs/e4349347-6379-4ae2-9ed0-732c2b65796d.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": "9ade81ec-b762-4d33-a8b2-72275156f862",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Create a seamless 9:16 portrait outpaint of the reference video for a natural-history museum conservation social reel. Preserve the reference video as the exact central horizontal band: retain every original subject, pixel-level composition, timing, hand movement, butterfly anatomy, microscope position, lighting direction and documentary realism. Do not crop, stretch, zoom or replace the source action. Extend the canvas substantially above and below it. Use reference image 1 to construct the upper extension: continue the conservator's white lab coat and posture naturally upward, with the stereo microscope, pale cyan task light, white specimen cabinets and archival drawers aligned in correct perspective. Use reference image 2 to construct the lower extension: continue the work surface downward with bone-white archival board, stainless forceps, sable brush, glass weights, tissue and specimen tags arranged with museum-lab precision. Generated hands, sleeves, table edges and microscope supports must join the source band invisibly with consistent scale, lens depth, shadows and color. Motion outside the original frame should remain subtle and physically connected: slight sleeve movement from the brushing action, minute task-light shimmer and barely moving tissue from ventilation. Carry forward the reference video's quiet clinical atmosphere and delicate conservation foley. Cool cyan, white, silver and electric Morpho blue palette; observational science documentary style; no captions, logos, borders, split screens or visible seams.",
      "width": 720,
      "height": 1280,
      "duration": 7,
      "providerSettings": {
        "klingai": {
          "keepOriginalSound": true
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/13fae6c9-5b0d-4619-9db9-c0a10ead74a7.jpg",
          "https://assets.runware.ai/assets/inputs/5e1dfa7f-e8e9-47f0-98a8-227c5babfd77.jpg"
        ],
        "referenceVideos": [
          "https://assets.runware.ai/assets/inputs/e4349347-6379-4ae2-9ed0-732c2b65796d.mp4"
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Create a seamless 9:16 portrait outpaint of the reference video for a natural-history museum conservation social reel. Preserve the reference video as the exact central horizontal band: retain every original subject, pixel-level composition, timing, hand movement, butterfly anatomy, microscope position, lighting direction and documentary realism. Do not crop, stretch, zoom or replace the source action. Extend the canvas substantially above and below it. Use reference image 1 to construct the upper extension: continue the conservator's white lab coat and posture naturally upward, with the stereo microscope, pale cyan task light, white specimen cabinets and archival drawers aligned in correct perspective. Use reference image 2 to construct the lower extension: continue the work surface downward with bone-white archival board, stainless forceps, sable brush, glass weights, tissue and specimen tags arranged with museum-lab precision. Generated hands, sleeves, table edges and microscope supports must join the source band invisibly with consistent scale, lens depth, shadows and color. Motion outside the original frame should remain subtle and physically connected: slight sleeve movement from the brushing action, minute task-light shimmer and barely moving tissue from ventilation. Carry forward the reference video's quiet clinical atmosphere and delicate conservation foley. Cool cyan, white, silver and electric Morpho blue palette; observational science documentary style; no captions, logos, borders, split screens or visible seams." \
  width=720 \
  height=1280 \
  duration=7 \
  providerSettings.klingai.keepOriginalSound=true \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/13fae6c9-5b0d-4619-9db9-c0a10ead74a7.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/5e1dfa7f-e8e9-47f0-98a8-227c5babfd77.jpg \
  inputs.referenceVideos.0=https://assets.runware.ai/assets/inputs/e4349347-6379-4ae2-9ed0-732c2b65796d.mp4
{
  "taskType": "videoInference",
  "taskUUID": "9ade81ec-b762-4d33-a8b2-72275156f862",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Create a seamless 9:16 portrait outpaint of the reference video for a natural-history museum conservation social reel. Preserve the reference video as the exact central horizontal band: retain every original subject, pixel-level composition, timing, hand movement, butterfly anatomy, microscope position, lighting direction and documentary realism. Do not crop, stretch, zoom or replace the source action. Extend the canvas substantially above and below it. Use reference image 1 to construct the upper extension: continue the conservator's white lab coat and posture naturally upward, with the stereo microscope, pale cyan task light, white specimen cabinets and archival drawers aligned in correct perspective. Use reference image 2 to construct the lower extension: continue the work surface downward with bone-white archival board, stainless forceps, sable brush, glass weights, tissue and specimen tags arranged with museum-lab precision. Generated hands, sleeves, table edges and microscope supports must join the source band invisibly with consistent scale, lens depth, shadows and color. Motion outside the original frame should remain subtle and physically connected: slight sleeve movement from the brushing action, minute task-light shimmer and barely moving tissue from ventilation. Carry forward the reference video's quiet clinical atmosphere and delicate conservation foley. Cool cyan, white, silver and electric Morpho blue palette; observational science documentary style; no captions, logos, borders, split screens or visible seams.",
  "width": 720,
  "height": 1280,
  "duration": 7,
  "providerSettings": {
    "klingai": {
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/13fae6c9-5b0d-4619-9db9-c0a10ead74a7.jpg",
      "https://assets.runware.ai/assets/inputs/5e1dfa7f-e8e9-47f0-98a8-227c5babfd77.jpg"
    ],
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/e4349347-6379-4ae2-9ed0-732c2b65796d.mp4"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "9ade81ec-b762-4d33-a8b2-72275156f862",
  "videoUUID": "e85694f8-c9fd-49b8-a964-fccfb68c98ff",
  "videoURL": "https://vm.runware.ai/video/os/a09dlim3/ws/5/vi/e85694f8-c9fd-49b8-a964-fccfb68c98ff.mp4",
  "cost": 0.882
}
video-edit

Rotoscoped Table Tennis Music Insert

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@o1-standard',
  positivePrompt: 'Transform the source footage into a polished rotoscoped music-video segment for an experimental breakbeat single. Preserve the exact camera position, rally choreography, player timing, ball trajectory, paddle contacts, body proportions, and uninterrupted temporal continuity of the original video. Replace the ordinary sports hall with a deep matte-black screen-print environment built from coarse paper grain, acid-green court markings, electric-violet shadows, and small white halftone highlights. Render both players as recognizable, consistently dressed graphic silhouettes with expressive hand-inked contour lines that follow their real motion precisely. Every audible paddle strike triggers a brief concentric ink burst at the true contact point; the ball leaves a thin acid-green trail that accurately follows its path and immediately dissipates. Shoe squeaks produce subtle violet scuffs beneath the correct foot without changing the action. Use energetic frame-by-frame texture variation while keeping faces, limbs, paddles, table geometry, and ball placement coherent with no morphing, duplicated equipment, missed contacts, added cuts, or camera movement. Retain the useful original sound of impacts, bounces, shoes, and exertion unchanged so it functions as the percussive backbone of the finished music-video insert. No captions, logos, titles, or interface graphics.',
  providerSettings: {
    klingai: {
      keepOriginalSound: true
    }
  },
  inputs: {
    video: 'https://assets.runware.ai/assets/inputs/7baf9957-dfc8-4bd0-ada5-da83be58d623.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@o1-standard",
            "positivePrompt": "Transform the source footage into a polished rotoscoped music-video segment for an experimental breakbeat single. Preserve the exact camera position, rally choreography, player timing, ball trajectory, paddle contacts, body proportions, and uninterrupted temporal continuity of the original video. Replace the ordinary sports hall with a deep matte-black screen-print environment built from coarse paper grain, acid-green court markings, electric-violet shadows, and small white halftone highlights. Render both players as recognizable, consistently dressed graphic silhouettes with expressive hand-inked contour lines that follow their real motion precisely. Every audible paddle strike triggers a brief concentric ink burst at the true contact point; the ball leaves a thin acid-green trail that accurately follows its path and immediately dissipates. Shoe squeaks produce subtle violet scuffs beneath the correct foot without changing the action. Use energetic frame-by-frame texture variation while keeping faces, limbs, paddles, table geometry, and ball placement coherent with no morphing, duplicated equipment, missed contacts, added cuts, or camera movement. Retain the useful original sound of impacts, bounces, shoes, and exertion unchanged so it functions as the percussive backbone of the finished music-video insert. No captions, logos, titles, or interface graphics.",
            "providerSettings": {
                "klingai": {
                    "keepOriginalSound": True
                }
            },
            "inputs": {
                "video": "https://assets.runware.ai/assets/inputs/7baf9957-dfc8-4bd0-ada5-da83be58d623.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": "3e0a823f-05d4-4fab-9d82-27348b480bbc",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Transform the source footage into a polished rotoscoped music-video segment for an experimental breakbeat single. Preserve the exact camera position, rally choreography, player timing, ball trajectory, paddle contacts, body proportions, and uninterrupted temporal continuity of the original video. Replace the ordinary sports hall with a deep matte-black screen-print environment built from coarse paper grain, acid-green court markings, electric-violet shadows, and small white halftone highlights. Render both players as recognizable, consistently dressed graphic silhouettes with expressive hand-inked contour lines that follow their real motion precisely. Every audible paddle strike triggers a brief concentric ink burst at the true contact point; the ball leaves a thin acid-green trail that accurately follows its path and immediately dissipates. Shoe squeaks produce subtle violet scuffs beneath the correct foot without changing the action. Use energetic frame-by-frame texture variation while keeping faces, limbs, paddles, table geometry, and ball placement coherent with no morphing, duplicated equipment, missed contacts, added cuts, or camera movement. Retain the useful original sound of impacts, bounces, shoes, and exertion unchanged so it functions as the percussive backbone of the finished music-video insert. No captions, logos, titles, or interface graphics.",
      "providerSettings": {
        "klingai": {
          "keepOriginalSound": true
        }
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/7baf9957-dfc8-4bd0-ada5-da83be58d623.mp4"
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Transform the source footage into a polished rotoscoped music-video segment for an experimental breakbeat single. Preserve the exact camera position, rally choreography, player timing, ball trajectory, paddle contacts, body proportions, and uninterrupted temporal continuity of the original video. Replace the ordinary sports hall with a deep matte-black screen-print environment built from coarse paper grain, acid-green court markings, electric-violet shadows, and small white halftone highlights. Render both players as recognizable, consistently dressed graphic silhouettes with expressive hand-inked contour lines that follow their real motion precisely. Every audible paddle strike triggers a brief concentric ink burst at the true contact point; the ball leaves a thin acid-green trail that accurately follows its path and immediately dissipates. Shoe squeaks produce subtle violet scuffs beneath the correct foot without changing the action. Use energetic frame-by-frame texture variation while keeping faces, limbs, paddles, table geometry, and ball placement coherent with no morphing, duplicated equipment, missed contacts, added cuts, or camera movement. Retain the useful original sound of impacts, bounces, shoes, and exertion unchanged so it functions as the percussive backbone of the finished music-video insert. No captions, logos, titles, or interface graphics." \
  providerSettings.klingai.keepOriginalSound=true \
  inputs.video=https://assets.runware.ai/assets/inputs/7baf9957-dfc8-4bd0-ada5-da83be58d623.mp4
{
  "taskType": "videoInference",
  "taskUUID": "3e0a823f-05d4-4fab-9d82-27348b480bbc",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Transform the source footage into a polished rotoscoped music-video segment for an experimental breakbeat single. Preserve the exact camera position, rally choreography, player timing, ball trajectory, paddle contacts, body proportions, and uninterrupted temporal continuity of the original video. Replace the ordinary sports hall with a deep matte-black screen-print environment built from coarse paper grain, acid-green court markings, electric-violet shadows, and small white halftone highlights. Render both players as recognizable, consistently dressed graphic silhouettes with expressive hand-inked contour lines that follow their real motion precisely. Every audible paddle strike triggers a brief concentric ink burst at the true contact point; the ball leaves a thin acid-green trail that accurately follows its path and immediately dissipates. Shoe squeaks produce subtle violet scuffs beneath the correct foot without changing the action. Use energetic frame-by-frame texture variation while keeping faces, limbs, paddles, table geometry, and ball placement coherent with no morphing, duplicated equipment, missed contacts, added cuts, or camera movement. Retain the useful original sound of impacts, bounces, shoes, and exertion unchanged so it functions as the percussive backbone of the finished music-video insert. No captions, logos, titles, or interface graphics.",
  "providerSettings": {
    "klingai": {
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/7baf9957-dfc8-4bd0-ada5-da83be58d623.mp4"
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "3e0a823f-05d4-4fab-9d82-27348b480bbc",
  "videoUUID": "0712325a-7218-45f7-9d1e-ba470c5e301f",
  "videoURL": "https://vm.runware.ai/video/os/a09dlim3/ws/5/vi/0712325a-7218-45f7-9d1e-ba470c5e301f.mp4",
  "cost": 0.756
}
Image to Video

Antique Tram Snowglobe Metamorphosis

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "5762e0a4-1587-4239-83b5-e6be8f1a9a38",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Create a cinematic transformation shot that begins matching the first frame exactly: an antique red tram resting on cobblestones in a quiet old European street at dawn. The camera glides forward slowly at street level as tiny hints of unreality emerge: frost tracing elegant patterns on the tram windows, drifting flakes gathering in circular motion, reflections bending softly in the glass. Midway through the shot, the environment transitions into wonder as a transparent spherical structure forms around the tram, streetlights brighten, pedestrians pause and turn, and the swirling snow intensifies inside the sphere. End by matching the last frame exactly: the tram fully enclosed within a giant snowglobe in the middle of the square. Preserve consistent architecture, tram design, and composition across the transition. Highly detailed, atmospheric, seamless motion, realistic lighting, magical but grounded tone.",
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/0a989d1f-4f06-46d3-918a-2f29eac0d476.jpg",
            "frame": "first"
          },
          {
            "image": "https://assets.runware.ai/assets/inputs/a6ba4d13-154f-4c9c-a625-d6c22bf0323a.jpg",
            "frame": "last"
          }
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Create a cinematic transformation shot that begins matching the first frame exactly: an antique red tram resting on cobblestones in a quiet old European street at dawn. The camera glides forward slowly at street level as tiny hints of unreality emerge: frost tracing elegant patterns on the tram windows, drifting flakes gathering in circular motion, reflections bending softly in the glass. Midway through the shot, the environment transitions into wonder as a transparent spherical structure forms around the tram, streetlights brighten, pedestrians pause and turn, and the swirling snow intensifies inside the sphere. End by matching the last frame exactly: the tram fully enclosed within a giant snowglobe in the middle of the square. Preserve consistent architecture, tram design, and composition across the transition. Highly detailed, atmospheric, seamless motion, realistic lighting, magical but grounded tone." \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/0a989d1f-4f06-46d3-918a-2f29eac0d476.jpg \
  inputs.frameImages.0.frame=first \
  inputs.frameImages.1.image=https://assets.runware.ai/assets/inputs/a6ba4d13-154f-4c9c-a625-d6c22bf0323a.jpg \
  inputs.frameImages.1.frame=last
{
  "taskType": "videoInference",
  "taskUUID": "5762e0a4-1587-4239-83b5-e6be8f1a9a38",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Create a cinematic transformation shot that begins matching the first frame exactly: an antique red tram resting on cobblestones in a quiet old European street at dawn. The camera glides forward slowly at street level as tiny hints of unreality emerge: frost tracing elegant patterns on the tram windows, drifting flakes gathering in circular motion, reflections bending softly in the glass. Midway through the shot, the environment transitions into wonder as a transparent spherical structure forms around the tram, streetlights brighten, pedestrians pause and turn, and the swirling snow intensifies inside the sphere. End by matching the last frame exactly: the tram fully enclosed within a giant snowglobe in the middle of the square. Preserve consistent architecture, tram design, and composition across the transition. Highly detailed, atmospheric, seamless motion, realistic lighting, magical but grounded tone.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/0a989d1f-4f06-46d3-918a-2f29eac0d476.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/a6ba4d13-154f-4c9c-a625-d6c22bf0323a.jpg",
        "frame": "last"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "5762e0a4-1587-4239-83b5-e6be8f1a9a38",
  "videoUUID": "9781e0fc-3cb8-425a-874e-4ce5310084e0",
  "videoURL": "https://vm.runware.ai/video/os/a25d05/ws/5/vi/9781e0fc-3cb8-425a-874e-4ce5310084e0.mp4",
  "cost": 0.42
}
Image to Video

Salt-Flat Caravan Mirage

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "79c5196e-e2ac-425d-a258-13d80b4c4f35",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "A solitary traveler guides a whimsical caravan wagon across a vast reflective salt flat during late afternoon. The scene feels expansive and otherworldly yet grounded in realism: shimmering heat haze, rippling reflections under the wheels, cloth wraps fluttering in dry wind, tiny glass charms swaying from the wagon canopy, drifting dust trails, and slow cinematic camera movement that begins wide and eases closer. Emphasize coherent fusion of the three references into one world: the traveler, the salt-flat environment, and the handcrafted caravan design. Natural lighting, mirage distortions on the horizon, subtle lens compression, elegant motion, high-detail textures, immersive atmospheric depth, poetic travel mood, realistic cinematography.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/075a4bab-01fe-4fb4-9dc0-20e1b34629a8.jpg",
          "https://assets.runware.ai/assets/inputs/09ce2d52-1486-488c-880d-e997d7ad8e4e.jpg",
          "https://assets.runware.ai/assets/inputs/2c4e6dbb-161d-4864-8615-38eb8a3adf94.jpg"
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="A solitary traveler guides a whimsical caravan wagon across a vast reflective salt flat during late afternoon. The scene feels expansive and otherworldly yet grounded in realism: shimmering heat haze, rippling reflections under the wheels, cloth wraps fluttering in dry wind, tiny glass charms swaying from the wagon canopy, drifting dust trails, and slow cinematic camera movement that begins wide and eases closer. Emphasize coherent fusion of the three references into one world: the traveler, the salt-flat environment, and the handcrafted caravan design. Natural lighting, mirage distortions on the horizon, subtle lens compression, elegant motion, high-detail textures, immersive atmospheric depth, poetic travel mood, realistic cinematography." \
  width=1280 \
  height=720 \
  duration=5 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/075a4bab-01fe-4fb4-9dc0-20e1b34629a8.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/09ce2d52-1486-488c-880d-e997d7ad8e4e.jpg \
  inputs.referenceImages.2=https://assets.runware.ai/assets/inputs/2c4e6dbb-161d-4864-8615-38eb8a3adf94.jpg
{
  "taskType": "videoInference",
  "taskUUID": "79c5196e-e2ac-425d-a258-13d80b4c4f35",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A solitary traveler guides a whimsical caravan wagon across a vast reflective salt flat during late afternoon. The scene feels expansive and otherworldly yet grounded in realism: shimmering heat haze, rippling reflections under the wheels, cloth wraps fluttering in dry wind, tiny glass charms swaying from the wagon canopy, drifting dust trails, and slow cinematic camera movement that begins wide and eases closer. Emphasize coherent fusion of the three references into one world: the traveler, the salt-flat environment, and the handcrafted caravan design. Natural lighting, mirage distortions on the horizon, subtle lens compression, elegant motion, high-detail textures, immersive atmospheric depth, poetic travel mood, realistic cinematography.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/075a4bab-01fe-4fb4-9dc0-20e1b34629a8.jpg",
      "https://assets.runware.ai/assets/inputs/09ce2d52-1486-488c-880d-e997d7ad8e4e.jpg",
      "https://assets.runware.ai/assets/inputs/2c4e6dbb-161d-4864-8615-38eb8a3adf94.jpg"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "79c5196e-e2ac-425d-a258-13d80b4c4f35",
  "videoUUID": "c97e6090-5840-4fa2-8ec0-7833072ff9cb",
  "videoURL": "https://vm.runware.ai/video/os/a08d21/ws/5/vi/c97e6090-5840-4fa2-8ec0-7833072ff9cb.mp4",
  "cost": 0.42
}
Text to Video

Windy Cliffside Violin Solo

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "762dd057-ddbc-4d3f-8afa-b2feb8f078de",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "A cinematic wide shot on a rugged green cliff above a stormy northern sea at blue hour. A young violinist in a long charcoal coat stands near the edge on dark wet stone, performing with intense focus while powerful coastal wind whips loose hair and fabric. The camera begins low behind swaying grass, then glides in a smooth arc to reveal crashing waves, white spray, distant sea stacks, and flocks of pale birds turning in the sky. Subtle breath in the cold air, realistic hand and bow movement, natural body balance against gusts, expressive face, dramatic clouds opening to a band of amber light at the horizon. Highly detailed cinematic realism, dynamic environmental motion, layered depth, believable physics, refined lighting, elegant camera movement.",
      "width": 1280,
      "height": 720,
      "duration": 5
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="A cinematic wide shot on a rugged green cliff above a stormy northern sea at blue hour. A young violinist in a long charcoal coat stands near the edge on dark wet stone, performing with intense focus while powerful coastal wind whips loose hair and fabric. The camera begins low behind swaying grass, then glides in a smooth arc to reveal crashing waves, white spray, distant sea stacks, and flocks of pale birds turning in the sky. Subtle breath in the cold air, realistic hand and bow movement, natural body balance against gusts, expressive face, dramatic clouds opening to a band of amber light at the horizon. Highly detailed cinematic realism, dynamic environmental motion, layered depth, believable physics, refined lighting, elegant camera movement." \
  width=1280 \
  height=720 \
  duration=5
{
  "taskType": "videoInference",
  "taskUUID": "762dd057-ddbc-4d3f-8afa-b2feb8f078de",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A cinematic wide shot on a rugged green cliff above a stormy northern sea at blue hour. A young violinist in a long charcoal coat stands near the edge on dark wet stone, performing with intense focus while powerful coastal wind whips loose hair and fabric. The camera begins low behind swaying grass, then glides in a smooth arc to reveal crashing waves, white spray, distant sea stacks, and flocks of pale birds turning in the sky. Subtle breath in the cold air, realistic hand and bow movement, natural body balance against gusts, expressive face, dramatic clouds opening to a band of amber light at the horizon. Highly detailed cinematic realism, dynamic environmental motion, layered depth, believable physics, refined lighting, elegant camera movement.",
  "width": 1280,
  "height": 720,
  "duration": 5
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "762dd057-ddbc-4d3f-8afa-b2feb8f078de",
  "videoUUID": "8ed05afc-fd5a-40b4-b6ea-a33e053a0090",
  "videoURL": "https://vm.runware.ai/video/os/a22d05/ws/5/vi/8ed05afc-fd5a-40b4-b6ea-a33e053a0090.mp4",
  "cost": 0.42
}
Text to Video

Harbor Fog Lantern Passage

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "2413a352-0531-40a9-851c-48f702291c75",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "A smooth cinematic transition between the provided first and last frames. Begin in a cold foggy industrial harbor with still water, dock ropes, cranes and quiet tugboats. The camera glides forward slowly along the waterfront as the scene subtly evolves: fog thins and curls, reflections stretch, dock lights awaken one by one, warehouse facades soften, small wooden boats appear, and hanging lanterns gradually illuminate the passage. End in a richly atmospheric blue-hour canal setting with warm lantern reflections rippling across the water. Natural motion, realistic lighting, detailed textures, gentle parallax, coherent environment continuity, immersive film look.",
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/85f49f42-e17b-4542-88ff-696286938683.jpg",
            "frame": "first"
          },
          {
            "image": "https://assets.runware.ai/assets/inputs/949b97d8-7475-4142-9733-ae4ff52b4a1d.jpg",
            "frame": "last"
          }
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="A smooth cinematic transition between the provided first and last frames. Begin in a cold foggy industrial harbor with still water, dock ropes, cranes and quiet tugboats. The camera glides forward slowly along the waterfront as the scene subtly evolves: fog thins and curls, reflections stretch, dock lights awaken one by one, warehouse facades soften, small wooden boats appear, and hanging lanterns gradually illuminate the passage. End in a richly atmospheric blue-hour canal setting with warm lantern reflections rippling across the water. Natural motion, realistic lighting, detailed textures, gentle parallax, coherent environment continuity, immersive film look." \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/85f49f42-e17b-4542-88ff-696286938683.jpg \
  inputs.frameImages.0.frame=first \
  inputs.frameImages.1.image=https://assets.runware.ai/assets/inputs/949b97d8-7475-4142-9733-ae4ff52b4a1d.jpg \
  inputs.frameImages.1.frame=last
{
  "taskType": "videoInference",
  "taskUUID": "2413a352-0531-40a9-851c-48f702291c75",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A smooth cinematic transition between the provided first and last frames. Begin in a cold foggy industrial harbor with still water, dock ropes, cranes and quiet tugboats. The camera glides forward slowly along the waterfront as the scene subtly evolves: fog thins and curls, reflections stretch, dock lights awaken one by one, warehouse facades soften, small wooden boats appear, and hanging lanterns gradually illuminate the passage. End in a richly atmospheric blue-hour canal setting with warm lantern reflections rippling across the water. Natural motion, realistic lighting, detailed textures, gentle parallax, coherent environment continuity, immersive film look.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/85f49f42-e17b-4542-88ff-696286938683.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/949b97d8-7475-4142-9733-ae4ff52b4a1d.jpg",
        "frame": "last"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "2413a352-0531-40a9-851c-48f702291c75",
  "videoUUID": "96e584f1-2f05-4f0a-94b8-8235d15bd324",
  "videoURL": "https://vm.runware.ai/video/os/a08d21/ws/5/vi/96e584f1-2f05-4f0a-94b8-8235d15bd324.mp4",
  "cost": 0.42
}
Image to Video

Sunken Library Whale Passage

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "05695f4b-8b42-4fe5-b698-771eec530d38",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "A cinematic underwater sequence inside a vast ruined library where a giant whale glides between towering shelves and floating ladders. Loose pages spiral softly around it, rays of green-gold light descend from shattered ceiling panels, and the camera moves slowly forward with gentle parallax. Emphasize majestic scale, drifting debris, rich atmospheric depth, realistic fluid motion, delicate cloth and paper movement, and a poetic dreamlike tone. Blend realistic animal movement with painterly color styling, ending on a wide awe-filled composition.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/4340f0f2-91d6-464b-a06a-c8774ddb67c3.jpg",
          "https://assets.runware.ai/assets/inputs/72f8431b-e7b5-44e7-9f6d-9709561d15f6.jpg",
          "https://assets.runware.ai/assets/inputs/b151154a-9271-42f1-9b33-ff8c70c22f3f.jpg"
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="A cinematic underwater sequence inside a vast ruined library where a giant whale glides between towering shelves and floating ladders. Loose pages spiral softly around it, rays of green-gold light descend from shattered ceiling panels, and the camera moves slowly forward with gentle parallax. Emphasize majestic scale, drifting debris, rich atmospheric depth, realistic fluid motion, delicate cloth and paper movement, and a poetic dreamlike tone. Blend realistic animal movement with painterly color styling, ending on a wide awe-filled composition." \
  width=1280 \
  height=720 \
  duration=5 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/4340f0f2-91d6-464b-a06a-c8774ddb67c3.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/72f8431b-e7b5-44e7-9f6d-9709561d15f6.jpg \
  inputs.referenceImages.2=https://assets.runware.ai/assets/inputs/b151154a-9271-42f1-9b33-ff8c70c22f3f.jpg
{
  "taskType": "videoInference",
  "taskUUID": "05695f4b-8b42-4fe5-b698-771eec530d38",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A cinematic underwater sequence inside a vast ruined library where a giant whale glides between towering shelves and floating ladders. Loose pages spiral softly around it, rays of green-gold light descend from shattered ceiling panels, and the camera moves slowly forward with gentle parallax. Emphasize majestic scale, drifting debris, rich atmospheric depth, realistic fluid motion, delicate cloth and paper movement, and a poetic dreamlike tone. Blend realistic animal movement with painterly color styling, ending on a wide awe-filled composition.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/4340f0f2-91d6-464b-a06a-c8774ddb67c3.jpg",
      "https://assets.runware.ai/assets/inputs/72f8431b-e7b5-44e7-9f6d-9709561d15f6.jpg",
      "https://assets.runware.ai/assets/inputs/b151154a-9271-42f1-9b33-ff8c70c22f3f.jpg"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "05695f4b-8b42-4fe5-b698-771eec530d38",
  "videoUUID": "35080935-656d-4ac5-8015-3938f74a840c",
  "videoURL": "https://vm.runware.ai/video/os/a25d05/ws/5/vi/35080935-656d-4ac5-8015-3938f74a840c.mp4",
  "cost": 0.42
}
Video to Video

Abandoned Greenhouse Orbit Drift

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "366d2e00-2941-4163-b7a7-4ec835fed9f9",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Transform the source footage into a cinematic near-future scene inside a forgotten orbital greenhouse adrift in space. Preserve the original camera path and scene layout, but replace the outside view beyond the broken glass with a slow-moving starfield and the curved edge of a distant blue planet. Make leaves, loose soil, droplets of water, seed packets, and small gardening tools drift softly in zero gravity. Add shafts of pale sunlight crossing through fractured panes, subtle floating pollen, and occasional lens glints. Keep the greenhouse structure aged and realistic with oxidized metal frames, tangled roots, and neglected planters, but give the atmosphere a serene scientific wonder. Natural motion, high detail, believable physics, cinematic depth, soft contrast, realistic textures.",
      "providerSettings": {
        "klingai": {
          "keepOriginalSound": true
        }
      },
      "inputs": {
        "video": "https://assets.runware.ai/assets/inputs/104fbb02-e409-40ee-a6f7-e8b901d2955b.mp4"
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Transform the source footage into a cinematic near-future scene inside a forgotten orbital greenhouse adrift in space. Preserve the original camera path and scene layout, but replace the outside view beyond the broken glass with a slow-moving starfield and the curved edge of a distant blue planet. Make leaves, loose soil, droplets of water, seed packets, and small gardening tools drift softly in zero gravity. Add shafts of pale sunlight crossing through fractured panes, subtle floating pollen, and occasional lens glints. Keep the greenhouse structure aged and realistic with oxidized metal frames, tangled roots, and neglected planters, but give the atmosphere a serene scientific wonder. Natural motion, high detail, believable physics, cinematic depth, soft contrast, realistic textures." \
  providerSettings.klingai.keepOriginalSound=true \
  inputs.video=https://assets.runware.ai/assets/inputs/104fbb02-e409-40ee-a6f7-e8b901d2955b.mp4
{
  "taskType": "videoInference",
  "taskUUID": "366d2e00-2941-4163-b7a7-4ec835fed9f9",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Transform the source footage into a cinematic near-future scene inside a forgotten orbital greenhouse adrift in space. Preserve the original camera path and scene layout, but replace the outside view beyond the broken glass with a slow-moving starfield and the curved edge of a distant blue planet. Make leaves, loose soil, droplets of water, seed packets, and small gardening tools drift softly in zero gravity. Add shafts of pale sunlight crossing through fractured panes, subtle floating pollen, and occasional lens glints. Keep the greenhouse structure aged and realistic with oxidized metal frames, tangled roots, and neglected planters, but give the atmosphere a serene scientific wonder. Natural motion, high detail, believable physics, cinematic depth, soft contrast, realistic textures.",
  "providerSettings": {
    "klingai": {
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "video": "https://assets.runware.ai/assets/inputs/104fbb02-e409-40ee-a6f7-e8b901d2955b.mp4"
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "366d2e00-2941-4163-b7a7-4ec835fed9f9",
  "videoUUID": "dd72f6d2-dbbb-4978-bd19-58b05bfcc9bf",
  "videoURL": "https://vm.runware.ai/video/os/a11d13/ws/5/vi/dd72f6d2-dbbb-4978-bd19-58b05bfcc9bf.mp4",
  "cost": 0.756
}
Image to Video

Amber Tram Through Canyons

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "00bee739-4833-4cb3-bf7e-cf86db863d4a",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "A vintage amber tram glides across a narrow bridge suspended between vast red sandstone canyons in late afternoon light. The camera begins close to the tram and slowly pulls back and rises, revealing layered canyon depth, drifting dust, fluttering birds, and sunlight grazing the rock faces. Subtle wheel vibration, gentle cable sway, and realistic environmental motion. Rich cinematic texture, natural colors, grand scale, smooth movement, coherent geometry, immersive atmosphere.",
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/f113e8c4-7788-4be3-b450-1ebd0a01fff1.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="A vintage amber tram glides across a narrow bridge suspended between vast red sandstone canyons in late afternoon light. The camera begins close to the tram and slowly pulls back and rises, revealing layered canyon depth, drifting dust, fluttering birds, and sunlight grazing the rock faces. Subtle wheel vibration, gentle cable sway, and realistic environmental motion. Rich cinematic texture, natural colors, grand scale, smooth movement, coherent geometry, immersive atmosphere." \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/f113e8c4-7788-4be3-b450-1ebd0a01fff1.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "00bee739-4833-4cb3-bf7e-cf86db863d4a",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A vintage amber tram glides across a narrow bridge suspended between vast red sandstone canyons in late afternoon light. The camera begins close to the tram and slowly pulls back and rises, revealing layered canyon depth, drifting dust, fluttering birds, and sunlight grazing the rock faces. Subtle wheel vibration, gentle cable sway, and realistic environmental motion. Rich cinematic texture, natural colors, grand scale, smooth movement, coherent geometry, immersive atmosphere.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/f113e8c4-7788-4be3-b450-1ebd0a01fff1.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "00bee739-4833-4cb3-bf7e-cf86db863d4a",
  "videoUUID": "6d48e371-0ff2-402a-8c46-85449a7ef51c",
  "videoURL": "https://vm.runware.ai/video/os/a03d21/ws/5/vi/6d48e371-0ff2-402a-8c46-85449a7ef51c.mp4",
  "cost": 0.42
}
Text to Video

Amber Canopy Tram Ascent

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "44fd6137-67dc-424f-97f2-99566c5252eb",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "A cinematic aerial-to-tracking shot of a vintage glass-sided tram suspended on cables, ascending through an immense mountain forest at peak autumn color. Golden and copper leaves swirl across the frame as the camera begins wide above the treetops, then eases closer to follow alongside the tram. Below, layered pines and bright deciduous trees form a rich patchwork canopy; in the distance, narrow waterfalls thread down dark stone ridges and a few rope bridges sway between giant trunks. The tram windows reflect warm sunset light, tiny passengers visible inside. Emphasize natural parallax, graceful cable tension, subtle rocking motion, leaf drift, atmospheric depth, and realistic lighting. Lush, detailed, adventurous, immersive, high-end cinematic realism.",
      "width": 1280,
      "height": 720,
      "duration": 5
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="A cinematic aerial-to-tracking shot of a vintage glass-sided tram suspended on cables, ascending through an immense mountain forest at peak autumn color. Golden and copper leaves swirl across the frame as the camera begins wide above the treetops, then eases closer to follow alongside the tram. Below, layered pines and bright deciduous trees form a rich patchwork canopy; in the distance, narrow waterfalls thread down dark stone ridges and a few rope bridges sway between giant trunks. The tram windows reflect warm sunset light, tiny passengers visible inside. Emphasize natural parallax, graceful cable tension, subtle rocking motion, leaf drift, atmospheric depth, and realistic lighting. Lush, detailed, adventurous, immersive, high-end cinematic realism." \
  width=1280 \
  height=720 \
  duration=5
{
  "taskType": "videoInference",
  "taskUUID": "44fd6137-67dc-424f-97f2-99566c5252eb",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "A cinematic aerial-to-tracking shot of a vintage glass-sided tram suspended on cables, ascending through an immense mountain forest at peak autumn color. Golden and copper leaves swirl across the frame as the camera begins wide above the treetops, then eases closer to follow alongside the tram. Below, layered pines and bright deciduous trees form a rich patchwork canopy; in the distance, narrow waterfalls thread down dark stone ridges and a few rope bridges sway between giant trunks. The tram windows reflect warm sunset light, tiny passengers visible inside. Emphasize natural parallax, graceful cable tension, subtle rocking motion, leaf drift, atmospheric depth, and realistic lighting. Lush, detailed, adventurous, immersive, high-end cinematic realism.",
  "width": 1280,
  "height": 720,
  "duration": 5
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "44fd6137-67dc-424f-97f2-99566c5252eb",
  "videoUUID": "5f936a3b-6599-415d-ba9f-021fe41acf9d",
  "videoURL": "https://vm.runware.ai/video/os/a13d12/ws/5/vi/5f936a3b-6599-415d-ba9f-021fe41acf9d.mp4",
  "cost": 0.42
}
Video to Video

Kinetic Brass Diver Tableau

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "a0ef9c47-2117-4749-863d-426e7732faf1",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Transform the reference performance into a surreal cinematic underwater opera scene: a vintage copper diving suit performer moves with the same choreography and orientation as the source video, carrying a gleaming brass tuba that catches shafts of teal light. The stage becomes a flooded grand hall with drifting velvet banners, cracked marble columns, suspended air bubbles, tiny silver fish circling in rhythm, and a distant audience of empty gilded seats fading into blue haze. Preserve the timing, body direction, and motion flow from the reference video. Emphasize elegant cloth and bubble dynamics, metallic reflections, volumetric light, rich texture, and smooth camera coherence. Dreamlike, majestic, strange, high-detail, premium cinematic grading.",
      "width": 1280,
      "height": 720,
      "duration": 5,
      "providerSettings": {
        "klingai": {
          "keepOriginalSound": true
        }
      },
      "inputs": {
        "referenceVideos": [
          "https://assets.runware.ai/assets/inputs/77ac92dc-d935-4f57-bbeb-9f36873d2eee.mp4"
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Transform the reference performance into a surreal cinematic underwater opera scene: a vintage copper diving suit performer moves with the same choreography and orientation as the source video, carrying a gleaming brass tuba that catches shafts of teal light. The stage becomes a flooded grand hall with drifting velvet banners, cracked marble columns, suspended air bubbles, tiny silver fish circling in rhythm, and a distant audience of empty gilded seats fading into blue haze. Preserve the timing, body direction, and motion flow from the reference video. Emphasize elegant cloth and bubble dynamics, metallic reflections, volumetric light, rich texture, and smooth camera coherence. Dreamlike, majestic, strange, high-detail, premium cinematic grading." \
  width=1280 \
  height=720 \
  duration=5 \
  providerSettings.klingai.keepOriginalSound=true \
  inputs.referenceVideos.0=https://assets.runware.ai/assets/inputs/77ac92dc-d935-4f57-bbeb-9f36873d2eee.mp4
{
  "taskType": "videoInference",
  "taskUUID": "a0ef9c47-2117-4749-863d-426e7732faf1",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Transform the reference performance into a surreal cinematic underwater opera scene: a vintage copper diving suit performer moves with the same choreography and orientation as the source video, carrying a gleaming brass tuba that catches shafts of teal light. The stage becomes a flooded grand hall with drifting velvet banners, cracked marble columns, suspended air bubbles, tiny silver fish circling in rhythm, and a distant audience of empty gilded seats fading into blue haze. Preserve the timing, body direction, and motion flow from the reference video. Emphasize elegant cloth and bubble dynamics, metallic reflections, volumetric light, rich texture, and smooth camera coherence. Dreamlike, majestic, strange, high-detail, premium cinematic grading.",
  "width": 1280,
  "height": 720,
  "duration": 5,
  "providerSettings": {
    "klingai": {
      "keepOriginalSound": true
    }
  },
  "inputs": {
    "referenceVideos": [
      "https://assets.runware.ai/assets/inputs/77ac92dc-d935-4f57-bbeb-9f36873d2eee.mp4"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "a0ef9c47-2117-4749-863d-426e7732faf1",
  "videoUUID": "76290230-9f26-4aa2-adeb-bd5a88e5ddc0",
  "videoURL": "https://vm.runware.ai/video/os/a15d18/ws/5/vi/76290230-9f26-4aa2-adeb-bd5a88e5ddc0.mp4",
  "cost": 0.63
}
Image to Video

Abandoned Planetarium Dust Spiral

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


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "81f701b5-98e6-4c36-939b-ec5b9c440f4a",
      "model": "klingai:kling@o1-standard",
      "positivePrompt": "Animate from the provided first frame into a moody cinematic shot inside a neglected planetarium. The camera slowly glides forward and slightly arcs around the central star projector as loose paper charts lift and circle in a gentle vortex. Dust thickens in the light beams, tiny metal rings tremble, hanging mechanisms sway subtly, and the atmosphere feels hushed and immense. Emphasize realistic motion, layered depth, rich textures, soft particulate movement, and elegant transitions that preserve the structure and styling of the input image.",
      "duration": 5,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/654658af-f409-4e3f-b7d1-404cb7b2c879.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'
runware run klingai:kling@o1-standard \
  positivePrompt="Animate from the provided first frame into a moody cinematic shot inside a neglected planetarium. The camera slowly glides forward and slightly arcs around the central star projector as loose paper charts lift and circle in a gentle vortex. Dust thickens in the light beams, tiny metal rings tremble, hanging mechanisms sway subtly, and the atmosphere feels hushed and immense. Emphasize realistic motion, layered depth, rich textures, soft particulate movement, and elegant transitions that preserve the structure and styling of the input image." \
  duration=5 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/654658af-f409-4e3f-b7d1-404cb7b2c879.jpg \
  inputs.frameImages.0.frame=first
{
  "taskType": "videoInference",
  "taskUUID": "81f701b5-98e6-4c36-939b-ec5b9c440f4a",
  "model": "klingai:kling@o1-standard",
  "positivePrompt": "Animate from the provided first frame into a moody cinematic shot inside a neglected planetarium. The camera slowly glides forward and slightly arcs around the central star projector as loose paper charts lift and circle in a gentle vortex. Dust thickens in the light beams, tiny metal rings tremble, hanging mechanisms sway subtly, and the atmosphere feels hushed and immense. Emphasize realistic motion, layered depth, rich textures, soft particulate movement, and elegant transitions that preserve the structure and styling of the input image.",
  "duration": 5,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/654658af-f409-4e3f-b7d1-404cb7b2c879.jpg",
        "frame": "first"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "81f701b5-98e6-4c36-939b-ec5b9c440f4a",
  "videoUUID": "b240f0e1-be22-4a6d-aa66-debdd5ec8362",
  "videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/b240f0e1-be22-4a6d-aa66-debdd5ec8362.mp4",
  "cost": 0.42
}