MiniMax 01

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'minimax:1@1',
  positivePrompt: 'Using the provided first frame as the opening composition, create a 6-second cinematic shot in a rainy Japanese alley at night. The camera makes a slow gentle push-in toward the noodle stall. Steam rises continuously from pots, rain ripples across puddles, lantern light flickers softly, and neon reflections shimmer on the wet pavement. A scooter passes through the distant background once, slightly out of focus. The seated customer shifts posture and lowers the umbrella a little, while the cook turns to lift noodles from a pot. Keep the scene grounded and realistic, with stable framing, smooth motion, moody urban atmosphere, natural parallax, and high-detail textures.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  providerSettings: {
    minimax: {
      promptOptimizer: false
    }
  },
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/36981d15-edbc-472c-8a17-ce37dc90ea24.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": "minimax:1@1",
            "positivePrompt": "Using the provided first frame as the opening composition, create a 6-second cinematic shot in a rainy Japanese alley at night. The camera makes a slow gentle push-in toward the noodle stall. Steam rises continuously from pots, rain ripples across puddles, lantern light flickers softly, and neon reflections shimmer on the wet pavement. A scooter passes through the distant background once, slightly out of focus. The seated customer shifts posture and lowers the umbrella a little, while the cook turns to lift noodles from a pot. Keep the scene grounded and realistic, with stable framing, smooth motion, moody urban atmosphere, natural parallax, and high-detail textures.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "providerSettings": {
                "minimax": {
                    "promptOptimizer": False
                }
            },
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/36981d15-edbc-472c-8a17-ce37dc90ea24.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": "f4ec6013-7b6d-4541-9a2e-497e9b653d48",
      "model": "minimax:1@1",
      "positivePrompt": "Using the provided first frame as the opening composition, create a 6-second cinematic shot in a rainy Japanese alley at night. The camera makes a slow gentle push-in toward the noodle stall. Steam rises continuously from pots, rain ripples across puddles, lantern light flickers softly, and neon reflections shimmer on the wet pavement. A scooter passes through the distant background once, slightly out of focus. The seated customer shifts posture and lowers the umbrella a little, while the cook turns to lift noodles from a pot. Keep the scene grounded and realistic, with stable framing, smooth motion, moody urban atmosphere, natural parallax, and high-detail textures.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "providerSettings": {
        "minimax": {
          "promptOptimizer": false
        }
      },
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/36981d15-edbc-472c-8a17-ce37dc90ea24.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run minimax:1@1 \
  positivePrompt="Using the provided first frame as the opening composition, create a 6-second cinematic shot in a rainy Japanese alley at night. The camera makes a slow gentle push-in toward the noodle stall. Steam rises continuously from pots, rain ripples across puddles, lantern light flickers softly, and neon reflections shimmer on the wet pavement. A scooter passes through the distant background once, slightly out of focus. The seated customer shifts posture and lowers the umbrella a little, while the cook turns to lift noodles from a pot. Keep the scene grounded and realistic, with stable framing, smooth motion, moody urban atmosphere, natural parallax, and high-detail textures." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  providerSettings.minimax.promptOptimizer=false \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/36981d15-edbc-472c-8a17-ce37dc90ea24.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "f4ec6013-7b6d-4541-9a2e-497e9b653d48",
  "model": "minimax:1@1",
  "positivePrompt": "Using the provided first frame as the opening composition, create a 6-second cinematic shot in a rainy Japanese alley at night. The camera makes a slow gentle push-in toward the noodle stall. Steam rises continuously from pots, rain ripples across puddles, lantern light flickers softly, and neon reflections shimmer on the wet pavement. A scooter passes through the distant background once, slightly out of focus. The seated customer shifts posture and lowers the umbrella a little, while the cook turns to lift noodles from a pot. Keep the scene grounded and realistic, with stable framing, smooth motion, moody urban atmosphere, natural parallax, and high-detail textures.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  },
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/36981d15-edbc-472c-8a17-ce37dc90ea24.jpg",
        "frame": "first"
      }
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'minimax:1@1',
  positivePrompt: 'A slow cinematic glide through a flooded cathedral nave beneath the sea, matching the reference image composition and architecture. The camera moves steadily forward down the central aisle as tiny fish weave between stone columns, suspended particles shimmer in shafts of filtered sunlight, and soft currents stir ribbons of sea grass around broken pews. Coral clings to carved arches, the mosaic floor emerges through clear water, and the mood feels hushed, sacred, and dreamlike. Realistic underwater caustics, stable framing, natural motion, rich environmental detail, atmospheric depth, cinematic realism.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  providerSettings: {
    minimax: {
      promptOptimizer: false
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/9066b32e-5035-4851-aeba-855895ab6de2.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": "minimax:1@1",
            "positivePrompt": "A slow cinematic glide through a flooded cathedral nave beneath the sea, matching the reference image composition and architecture. The camera moves steadily forward down the central aisle as tiny fish weave between stone columns, suspended particles shimmer in shafts of filtered sunlight, and soft currents stir ribbons of sea grass around broken pews. Coral clings to carved arches, the mosaic floor emerges through clear water, and the mood feels hushed, sacred, and dreamlike. Realistic underwater caustics, stable framing, natural motion, rich environmental detail, atmospheric depth, cinematic realism.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "providerSettings": {
                "minimax": {
                    "promptOptimizer": False
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/9066b32e-5035-4851-aeba-855895ab6de2.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": "1dd507d3-bffc-46b7-a80b-b17a3a1d3da8",
      "model": "minimax:1@1",
      "positivePrompt": "A slow cinematic glide through a flooded cathedral nave beneath the sea, matching the reference image composition and architecture. The camera moves steadily forward down the central aisle as tiny fish weave between stone columns, suspended particles shimmer in shafts of filtered sunlight, and soft currents stir ribbons of sea grass around broken pews. Coral clings to carved arches, the mosaic floor emerges through clear water, and the mood feels hushed, sacred, and dreamlike. Realistic underwater caustics, stable framing, natural motion, rich environmental detail, atmospheric depth, cinematic realism.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "providerSettings": {
        "minimax": {
          "promptOptimizer": false
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/9066b32e-5035-4851-aeba-855895ab6de2.jpg"
        ]
      }
    }
  ]'

runware run minimax:1@1 \
  positivePrompt="A slow cinematic glide through a flooded cathedral nave beneath the sea, matching the reference image composition and architecture. The camera moves steadily forward down the central aisle as tiny fish weave between stone columns, suspended particles shimmer in shafts of filtered sunlight, and soft currents stir ribbons of sea grass around broken pews. Coral clings to carved arches, the mosaic floor emerges through clear water, and the mood feels hushed, sacred, and dreamlike. Realistic underwater caustics, stable framing, natural motion, rich environmental detail, atmospheric depth, cinematic realism." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  providerSettings.minimax.promptOptimizer=false \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/9066b32e-5035-4851-aeba-855895ab6de2.jpg

{
  "taskType": "videoInference",
  "taskUUID": "1dd507d3-bffc-46b7-a80b-b17a3a1d3da8",
  "model": "minimax:1@1",
  "positivePrompt": "A slow cinematic glide through a flooded cathedral nave beneath the sea, matching the reference image composition and architecture. The camera moves steadily forward down the central aisle as tiny fish weave between stone columns, suspended particles shimmer in shafts of filtered sunlight, and soft currents stir ribbons of sea grass around broken pews. Coral clings to carved arches, the mosaic floor emerges through clear water, and the mood feels hushed, sacred, and dreamlike. Realistic underwater caustics, stable framing, natural motion, rich environmental detail, atmospheric depth, cinematic realism.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/9066b32e-5035-4851-aeba-855895ab6de2.jpg"
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'minimax:1@1',
  positivePrompt: 'Animate the provided first frame into a six-second cinematic sequence inside a submerged grand ballroom. The camera makes a slow graceful dolly forward toward the lone dancer at center. Her layered silver costume and ribbons drift softly with the currents while small schools of fish spiral through the room. Chandeliers sway gently overhead, suspended dust and bubbles shimmer in beams of sunlight from the fractured ceiling, and loose papers glide across the marble floor. Preserve the ornate hall layout and subject placement from the first frame, with smooth natural underwater motion, realistic light caustics, elegant pacing, and a dreamlike yet grounded tone.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  providerSettings: {
    minimax: {
      promptOptimizer: false
    }
  },
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/54e90c1c-2b12-4b57-93e9-f587711c82a2.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": "minimax:1@1",
            "positivePrompt": "Animate the provided first frame into a six-second cinematic sequence inside a submerged grand ballroom. The camera makes a slow graceful dolly forward toward the lone dancer at center. Her layered silver costume and ribbons drift softly with the currents while small schools of fish spiral through the room. Chandeliers sway gently overhead, suspended dust and bubbles shimmer in beams of sunlight from the fractured ceiling, and loose papers glide across the marble floor. Preserve the ornate hall layout and subject placement from the first frame, with smooth natural underwater motion, realistic light caustics, elegant pacing, and a dreamlike yet grounded tone.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "providerSettings": {
                "minimax": {
                    "promptOptimizer": False
                }
            },
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/54e90c1c-2b12-4b57-93e9-f587711c82a2.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": "2a073cc2-e4d9-4182-ac98-e72dc0ba13aa",
      "model": "minimax:1@1",
      "positivePrompt": "Animate the provided first frame into a six-second cinematic sequence inside a submerged grand ballroom. The camera makes a slow graceful dolly forward toward the lone dancer at center. Her layered silver costume and ribbons drift softly with the currents while small schools of fish spiral through the room. Chandeliers sway gently overhead, suspended dust and bubbles shimmer in beams of sunlight from the fractured ceiling, and loose papers glide across the marble floor. Preserve the ornate hall layout and subject placement from the first frame, with smooth natural underwater motion, realistic light caustics, elegant pacing, and a dreamlike yet grounded tone.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "providerSettings": {
        "minimax": {
          "promptOptimizer": false
        }
      },
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/54e90c1c-2b12-4b57-93e9-f587711c82a2.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run minimax:1@1 \
  positivePrompt="Animate the provided first frame into a six-second cinematic sequence inside a submerged grand ballroom. The camera makes a slow graceful dolly forward toward the lone dancer at center. Her layered silver costume and ribbons drift softly with the currents while small schools of fish spiral through the room. Chandeliers sway gently overhead, suspended dust and bubbles shimmer in beams of sunlight from the fractured ceiling, and loose papers glide across the marble floor. Preserve the ornate hall layout and subject placement from the first frame, with smooth natural underwater motion, realistic light caustics, elegant pacing, and a dreamlike yet grounded tone." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  providerSettings.minimax.promptOptimizer=false \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/54e90c1c-2b12-4b57-93e9-f587711c82a2.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "2a073cc2-e4d9-4182-ac98-e72dc0ba13aa",
  "model": "minimax:1@1",
  "positivePrompt": "Animate the provided first frame into a six-second cinematic sequence inside a submerged grand ballroom. The camera makes a slow graceful dolly forward toward the lone dancer at center. Her layered silver costume and ribbons drift softly with the currents while small schools of fish spiral through the room. Chandeliers sway gently overhead, suspended dust and bubbles shimmer in beams of sunlight from the fractured ceiling, and loose papers glide across the marble floor. Preserve the ornate hall layout and subject placement from the first frame, with smooth natural underwater motion, realistic light caustics, elegant pacing, and a dreamlike yet grounded tone.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  },
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/54e90c1c-2b12-4b57-93e9-f587711c82a2.jpg",
        "frame": "first"
      }
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'minimax:1@1',
  positivePrompt: 'Using the reference image as the visual foundation, create a cinematic aerial approach toward an ancient monastery carved into a glacier cliff. The shot begins wide and slowly rises forward, passing fluttering banners and swaying rope bridges while fine snow streams through the air. Warm lantern light glows from carved windows against the blue-white ice. Tiny pilgrims climb the stairway, their cloaks shifting in the wind. Snow dust drifts from high ledges, clouds slide across the sky, and the camera finishes near the main gate with grand scale, realistic lighting, smooth motion, and strong depth.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  providerSettings: {
    minimax: {
      promptOptimizer: false
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/25dc6e27-c905-4f29-981f-5c5074a0f514.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": "minimax:1@1",
            "positivePrompt": "Using the reference image as the visual foundation, create a cinematic aerial approach toward an ancient monastery carved into a glacier cliff. The shot begins wide and slowly rises forward, passing fluttering banners and swaying rope bridges while fine snow streams through the air. Warm lantern light glows from carved windows against the blue-white ice. Tiny pilgrims climb the stairway, their cloaks shifting in the wind. Snow dust drifts from high ledges, clouds slide across the sky, and the camera finishes near the main gate with grand scale, realistic lighting, smooth motion, and strong depth.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "providerSettings": {
                "minimax": {
                    "promptOptimizer": False
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/25dc6e27-c905-4f29-981f-5c5074a0f514.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": "877999e1-1bf9-471b-8426-31f0ff94f097",
      "model": "minimax:1@1",
      "positivePrompt": "Using the reference image as the visual foundation, create a cinematic aerial approach toward an ancient monastery carved into a glacier cliff. The shot begins wide and slowly rises forward, passing fluttering banners and swaying rope bridges while fine snow streams through the air. Warm lantern light glows from carved windows against the blue-white ice. Tiny pilgrims climb the stairway, their cloaks shifting in the wind. Snow dust drifts from high ledges, clouds slide across the sky, and the camera finishes near the main gate with grand scale, realistic lighting, smooth motion, and strong depth.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "providerSettings": {
        "minimax": {
          "promptOptimizer": false
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/25dc6e27-c905-4f29-981f-5c5074a0f514.jpg"
        ]
      }
    }
  ]'

runware run minimax:1@1 \
  positivePrompt="Using the reference image as the visual foundation, create a cinematic aerial approach toward an ancient monastery carved into a glacier cliff. The shot begins wide and slowly rises forward, passing fluttering banners and swaying rope bridges while fine snow streams through the air. Warm lantern light glows from carved windows against the blue-white ice. Tiny pilgrims climb the stairway, their cloaks shifting in the wind. Snow dust drifts from high ledges, clouds slide across the sky, and the camera finishes near the main gate with grand scale, realistic lighting, smooth motion, and strong depth." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  providerSettings.minimax.promptOptimizer=false \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/25dc6e27-c905-4f29-981f-5c5074a0f514.jpg

{
  "taskType": "videoInference",
  "taskUUID": "877999e1-1bf9-471b-8426-31f0ff94f097",
  "model": "minimax:1@1",
  "positivePrompt": "Using the reference image as the visual foundation, create a cinematic aerial approach toward an ancient monastery carved into a glacier cliff. The shot begins wide and slowly rises forward, passing fluttering banners and swaying rope bridges while fine snow streams through the air. Warm lantern light glows from carved windows against the blue-white ice. Tiny pilgrims climb the stairway, their cloaks shifting in the wind. Snow dust drifts from high ledges, clouds slide across the sky, and the camera finishes near the main gate with grand scale, realistic lighting, smooth motion, and strong depth.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/25dc6e27-c905-4f29-981f-5c5074a0f514.jpg"
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'minimax:1@1',
  positivePrompt: 'A tense cinematic sequence inside a partially submerged underground transit terminal, broken departure boards flickering above rising water, commuters in emergency ponchos guiding each other across overturned benches, orange hazard strobes reflecting in rippling puddles, a stalled silver train half-open at the platform, loose papers and plastic signage drifting past, camera starts with a wide establishing shot then slowly dollies forward at eye level through shallow floodwater, a child’s toy sailboat glides across the foreground, sudden shower of sparks from a damaged ceiling panel, one transit worker waves a glowing baton to direct people toward an exit stairwell, realistic water physics, suspended dust and mist, layered depth, dramatic contrast, grounded performances, natural motion, high detail, suspenseful disaster-film atmosphere',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  providerSettings: {
    minimax: {
      promptOptimizer: false
    }
  }
})

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": "minimax:1@1",
            "positivePrompt": "A tense cinematic sequence inside a partially submerged underground transit terminal, broken departure boards flickering above rising water, commuters in emergency ponchos guiding each other across overturned benches, orange hazard strobes reflecting in rippling puddles, a stalled silver train half-open at the platform, loose papers and plastic signage drifting past, camera starts with a wide establishing shot then slowly dollies forward at eye level through shallow floodwater, a child’s toy sailboat glides across the foreground, sudden shower of sparks from a damaged ceiling panel, one transit worker waves a glowing baton to direct people toward an exit stairwell, realistic water physics, suspended dust and mist, layered depth, dramatic contrast, grounded performances, natural motion, high detail, suspenseful disaster-film atmosphere",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "providerSettings": {
                "minimax": {
                    "promptOptimizer": False
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "167649e3-92a1-4abc-a11d-128b75a158d6",
      "model": "minimax:1@1",
      "positivePrompt": "A tense cinematic sequence inside a partially submerged underground transit terminal, broken departure boards flickering above rising water, commuters in emergency ponchos guiding each other across overturned benches, orange hazard strobes reflecting in rippling puddles, a stalled silver train half-open at the platform, loose papers and plastic signage drifting past, camera starts with a wide establishing shot then slowly dollies forward at eye level through shallow floodwater, a child’s toy sailboat glides across the foreground, sudden shower of sparks from a damaged ceiling panel, one transit worker waves a glowing baton to direct people toward an exit stairwell, realistic water physics, suspended dust and mist, layered depth, dramatic contrast, grounded performances, natural motion, high detail, suspenseful disaster-film atmosphere",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "providerSettings": {
        "minimax": {
          "promptOptimizer": false
        }
      }
    }
  ]'

runware run minimax:1@1 \
  positivePrompt="A tense cinematic sequence inside a partially submerged underground transit terminal, broken departure boards flickering above rising water, commuters in emergency ponchos guiding each other across overturned benches, orange hazard strobes reflecting in rippling puddles, a stalled silver train half-open at the platform, loose papers and plastic signage drifting past, camera starts with a wide establishing shot then slowly dollies forward at eye level through shallow floodwater, a child’s toy sailboat glides across the foreground, sudden shower of sparks from a damaged ceiling panel, one transit worker waves a glowing baton to direct people toward an exit stairwell, realistic water physics, suspended dust and mist, layered depth, dramatic contrast, grounded performances, natural motion, high detail, suspenseful disaster-film atmosphere" \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  providerSettings.minimax.promptOptimizer=false

{
  "taskType": "videoInference",
  "taskUUID": "167649e3-92a1-4abc-a11d-128b75a158d6",
  "model": "minimax:1@1",
  "positivePrompt": "A tense cinematic sequence inside a partially submerged underground transit terminal, broken departure boards flickering above rising water, commuters in emergency ponchos guiding each other across overturned benches, orange hazard strobes reflecting in rippling puddles, a stalled silver train half-open at the platform, loose papers and plastic signage drifting past, camera starts with a wide establishing shot then slowly dollies forward at eye level through shallow floodwater, a child’s toy sailboat glides across the foreground, sudden shower of sparks from a damaged ceiling panel, one transit worker waves a glowing baton to direct people toward an exit stairwell, realistic water physics, suspended dust and mist, layered depth, dramatic contrast, grounded performances, natural motion, high detail, suspenseful disaster-film atmosphere",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": false
    }
  }
}