MODEL IDminimax:1@1
live

MiniMax 01

MiniMax
by MiniMax

MiniMax 01 is a compact text to video model for short clips. It turns simple prompts into 720p videos with smooth motion and cinematic framing. It targets fast iteration and stable output so developers can prototype interactive video features and creative tools with low latency.

MiniMax 01
text-to-video

Clockwork Techno Music Video Segment

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 cinematic six-second music-video shot inside a monumental watchmaking atelier built as a practical set. A solitary androgynous dancer in cobalt-blue workwear performs precise, forceful tutting choreography on a slowly rotating brass service platform, arms locking into geometric shapes in time with the machinery. Towering exposed clock gears revolve behind them, a huge pendulum sweeps across the background, loose calibration papers flutter in rhythmic bursts, and fine metallic dust sparkles through hard amber light shafts. Verdigris copper, aged brass, cobalt, and deep black palette; tactile industrial textures, crisp high-contrast lighting, stylish editorial realism. In one continuous move, the camera begins low and wide, dollies clockwise around the dancer, passes behind a turning foreground gear for natural motion blur, then pushes rapidly into a strong medium close-up as the dancer snaps their hands toward the lens. Stable anatomy, convincing mechanical motion, dramatic landscape composition, no lettering.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25
})
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 cinematic six-second music-video shot inside a monumental watchmaking atelier built as a practical set. A solitary androgynous dancer in cobalt-blue workwear performs precise, forceful tutting choreography on a slowly rotating brass service platform, arms locking into geometric shapes in time with the machinery. Towering exposed clock gears revolve behind them, a huge pendulum sweeps across the background, loose calibration papers flutter in rhythmic bursts, and fine metallic dust sparkles through hard amber light shafts. Verdigris copper, aged brass, cobalt, and deep black palette; tactile industrial textures, crisp high-contrast lighting, stylish editorial realism. In one continuous move, the camera begins low and wide, dollies clockwise around the dancer, passes behind a turning foreground gear for natural motion blur, then pushes rapidly into a strong medium close-up as the dancer snaps their hands toward the lens. Stable anatomy, convincing mechanical motion, dramatic landscape composition, no lettering.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "0824ac8c-4257-445b-81bb-635374993de7",
      "model": "minimax:1@1",
      "positivePrompt": "A cinematic six-second music-video shot inside a monumental watchmaking atelier built as a practical set. A solitary androgynous dancer in cobalt-blue workwear performs precise, forceful tutting choreography on a slowly rotating brass service platform, arms locking into geometric shapes in time with the machinery. Towering exposed clock gears revolve behind them, a huge pendulum sweeps across the background, loose calibration papers flutter in rhythmic bursts, and fine metallic dust sparkles through hard amber light shafts. Verdigris copper, aged brass, cobalt, and deep black palette; tactile industrial textures, crisp high-contrast lighting, stylish editorial realism. In one continuous move, the camera begins low and wide, dollies clockwise around the dancer, passes behind a turning foreground gear for natural motion blur, then pushes rapidly into a strong medium close-up as the dancer snaps their hands toward the lens. Stable anatomy, convincing mechanical motion, dramatic landscape composition, no lettering.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25
    }
  ]'
runware run minimax:1@1 \
  positivePrompt="A cinematic six-second music-video shot inside a monumental watchmaking atelier built as a practical set. A solitary androgynous dancer in cobalt-blue workwear performs precise, forceful tutting choreography on a slowly rotating brass service platform, arms locking into geometric shapes in time with the machinery. Towering exposed clock gears revolve behind them, a huge pendulum sweeps across the background, loose calibration papers flutter in rhythmic bursts, and fine metallic dust sparkles through hard amber light shafts. Verdigris copper, aged brass, cobalt, and deep black palette; tactile industrial textures, crisp high-contrast lighting, stylish editorial realism. In one continuous move, the camera begins low and wide, dollies clockwise around the dancer, passes behind a turning foreground gear for natural motion blur, then pushes rapidly into a strong medium close-up as the dancer snaps their hands toward the lens. Stable anatomy, convincing mechanical motion, dramatic landscape composition, no lettering." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25
{
  "taskType": "videoInference",
  "taskUUID": "0824ac8c-4257-445b-81bb-635374993de7",
  "model": "minimax:1@1",
  "positivePrompt": "A cinematic six-second music-video shot inside a monumental watchmaking atelier built as a practical set. A solitary androgynous dancer in cobalt-blue workwear performs precise, forceful tutting choreography on a slowly rotating brass service platform, arms locking into geometric shapes in time with the machinery. Towering exposed clock gears revolve behind them, a huge pendulum sweeps across the background, loose calibration papers flutter in rhythmic bursts, and fine metallic dust sparkles through hard amber light shafts. Verdigris copper, aged brass, cobalt, and deep black palette; tactile industrial textures, crisp high-contrast lighting, stylish editorial realism. In one continuous move, the camera begins low and wide, dollies clockwise around the dancer, passes behind a turning foreground gear for natural motion blur, then pushes rapidly into a strong medium close-up as the dancer snaps their hands toward the lens. Stable anatomy, convincing mechanical motion, dramatic landscape composition, no lettering.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "0824ac8c-4257-445b-81bb-635374993de7",
  "videoUUID": "5f0e38cf-c149-471f-a77a-a5ba39b91c27",
  "videoURL": "https://vm.runware.ai/video/os/a04d20/ws/5/vi/5f0e38cf-c149-471f-a77a-a5ba39b91c27.mp4",
  "seed": 1730084862,
  "cost": 0.28
}
text-to-video

Food Fraud Docuseries Title Sting

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: 'Six-second cinematic title sequence for a prestige food-fraud documentary titled “COUNTERFEIT HONEY.” Begin in extreme macro inside a dark forensic laboratory: a clear glass sample vial filled with luminous amber honey spins rapidly in a stainless-steel centrifuge, microbubbles and suspended pollen spiraling through the viscous liquid. The camera makes a low left-to-right macro dolly, then arcs tightly around the rotating vial as the centrifuge decelerates. Loose chromatography strips tremble in the machine’s airflow, a thin honey filament stretches and snaps, and tiny droplets strike the glass in slow motion. As the vial turns toward camera, reveal the exact title COUNTERFEIT HONEY etched across the glass in large, sharp, condensed uppercase letters; keep it centered, stable, and readable through the final second. Sodium-amber highlights, sterile cyan shadows, inky black background, shallow depth of field, crisp specular reflections, restrained film grain, ominous investigative mood. One continuous shot, smooth physical motion, widescreen composition, no people, no logos, no extra text, no interface.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25
})
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": "Six-second cinematic title sequence for a prestige food-fraud documentary titled “COUNTERFEIT HONEY.” Begin in extreme macro inside a dark forensic laboratory: a clear glass sample vial filled with luminous amber honey spins rapidly in a stainless-steel centrifuge, microbubbles and suspended pollen spiraling through the viscous liquid. The camera makes a low left-to-right macro dolly, then arcs tightly around the rotating vial as the centrifuge decelerates. Loose chromatography strips tremble in the machine’s airflow, a thin honey filament stretches and snaps, and tiny droplets strike the glass in slow motion. As the vial turns toward camera, reveal the exact title COUNTERFEIT HONEY etched across the glass in large, sharp, condensed uppercase letters; keep it centered, stable, and readable through the final second. Sodium-amber highlights, sterile cyan shadows, inky black background, shallow depth of field, crisp specular reflections, restrained film grain, ominous investigative mood. One continuous shot, smooth physical motion, widescreen composition, no people, no logos, no extra text, no interface.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "e32eb1b7-d88c-4636-8705-586db63c70b9",
      "model": "minimax:1@1",
      "positivePrompt": "Six-second cinematic title sequence for a prestige food-fraud documentary titled “COUNTERFEIT HONEY.” Begin in extreme macro inside a dark forensic laboratory: a clear glass sample vial filled with luminous amber honey spins rapidly in a stainless-steel centrifuge, microbubbles and suspended pollen spiraling through the viscous liquid. The camera makes a low left-to-right macro dolly, then arcs tightly around the rotating vial as the centrifuge decelerates. Loose chromatography strips tremble in the machine’s airflow, a thin honey filament stretches and snaps, and tiny droplets strike the glass in slow motion. As the vial turns toward camera, reveal the exact title COUNTERFEIT HONEY etched across the glass in large, sharp, condensed uppercase letters; keep it centered, stable, and readable through the final second. Sodium-amber highlights, sterile cyan shadows, inky black background, shallow depth of field, crisp specular reflections, restrained film grain, ominous investigative mood. One continuous shot, smooth physical motion, widescreen composition, no people, no logos, no extra text, no interface.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25
    }
  ]'
runware run minimax:1@1 \
  positivePrompt="Six-second cinematic title sequence for a prestige food-fraud documentary titled “COUNTERFEIT HONEY.” Begin in extreme macro inside a dark forensic laboratory: a clear glass sample vial filled with luminous amber honey spins rapidly in a stainless-steel centrifuge, microbubbles and suspended pollen spiraling through the viscous liquid. The camera makes a low left-to-right macro dolly, then arcs tightly around the rotating vial as the centrifuge decelerates. Loose chromatography strips tremble in the machine’s airflow, a thin honey filament stretches and snaps, and tiny droplets strike the glass in slow motion. As the vial turns toward camera, reveal the exact title COUNTERFEIT HONEY etched across the glass in large, sharp, condensed uppercase letters; keep it centered, stable, and readable through the final second. Sodium-amber highlights, sterile cyan shadows, inky black background, shallow depth of field, crisp specular reflections, restrained film grain, ominous investigative mood. One continuous shot, smooth physical motion, widescreen composition, no people, no logos, no extra text, no interface." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25
{
  "taskType": "videoInference",
  "taskUUID": "e32eb1b7-d88c-4636-8705-586db63c70b9",
  "model": "minimax:1@1",
  "positivePrompt": "Six-second cinematic title sequence for a prestige food-fraud documentary titled “COUNTERFEIT HONEY.” Begin in extreme macro inside a dark forensic laboratory: a clear glass sample vial filled with luminous amber honey spins rapidly in a stainless-steel centrifuge, microbubbles and suspended pollen spiraling through the viscous liquid. The camera makes a low left-to-right macro dolly, then arcs tightly around the rotating vial as the centrifuge decelerates. Loose chromatography strips tremble in the machine’s airflow, a thin honey filament stretches and snaps, and tiny droplets strike the glass in slow motion. As the vial turns toward camera, reveal the exact title COUNTERFEIT HONEY etched across the glass in large, sharp, condensed uppercase letters; keep it centered, stable, and readable through the final second. Sodium-amber highlights, sterile cyan shadows, inky black background, shallow depth of field, crisp specular reflections, restrained film grain, ominous investigative mood. One continuous shot, smooth physical motion, widescreen composition, no people, no logos, no extra text, no interface.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "e32eb1b7-d88c-4636-8705-586db63c70b9",
  "videoUUID": "ffd1792c-edbd-4708-b2e4-1e7f681d5fb5",
  "videoURL": "https://vm.runware.ai/video/os/a10dlim3/ws/5/vi/ffd1792c-edbd-4708-b2e4-1e7f681d5fb5.mp4",
  "seed": 600037262,
  "cost": 0.28
}
first-frame

Competitive Topiary Series Title Teaser

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'minimax:1@1',
  positivePrompt: 'The topiary artist leans in and makes one precise final snip at the peacock\'s crown. The polished shears flash in the sun; the clipped sprig tumbles in slow motion and a light garden breeze sends tiny green leaves spiraling across the limestone path. The peacock hedge gently shivers from the cut while the artist lowers her shears with a restrained, satisfied smile. The camera performs a smooth low dolly to the right, passing close beneath the sculpted tail feathers with rich parallax, then reveals an adjacent immaculate hedge wall bearing large, sharply trimmed recessed title lettering: “CUT ABOVE”. The drifting leaves clear away as the camera settles into a centered hero composition on the readable title. Bright chartreuse, coral, cream and sky-blue palette; witty, refined British competition-series tone; warm directional sunlight, subtle lens flare, realistic foliage movement, cinematic depth of field, continuous single shot.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  inputs: {
    frameImages: [
      'https://assets.runware.ai/assets/inputs/c154ff97-4b07-4e88-8efe-a1984967ed06.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": "The topiary artist leans in and makes one precise final snip at the peacock's crown. The polished shears flash in the sun; the clipped sprig tumbles in slow motion and a light garden breeze sends tiny green leaves spiraling across the limestone path. The peacock hedge gently shivers from the cut while the artist lowers her shears with a restrained, satisfied smile. The camera performs a smooth low dolly to the right, passing close beneath the sculpted tail feathers with rich parallax, then reveals an adjacent immaculate hedge wall bearing large, sharply trimmed recessed title lettering: “CUT ABOVE”. The drifting leaves clear away as the camera settles into a centered hero composition on the readable title. Bright chartreuse, coral, cream and sky-blue palette; witty, refined British competition-series tone; warm directional sunlight, subtle lens flare, realistic foliage movement, cinematic depth of field, continuous single shot.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "inputs": {
                "frameImages": [
                    "https://assets.runware.ai/assets/inputs/c154ff97-4b07-4e88-8efe-a1984967ed06.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": "4acabc6f-3cd6-4818-95dd-548af8975f90",
      "model": "minimax:1@1",
      "positivePrompt": "The topiary artist leans in and makes one precise final snip at the peacock's crown. The polished shears flash in the sun; the clipped sprig tumbles in slow motion and a light garden breeze sends tiny green leaves spiraling across the limestone path. The peacock hedge gently shivers from the cut while the artist lowers her shears with a restrained, satisfied smile. The camera performs a smooth low dolly to the right, passing close beneath the sculpted tail feathers with rich parallax, then reveals an adjacent immaculate hedge wall bearing large, sharply trimmed recessed title lettering: “CUT ABOVE”. The drifting leaves clear away as the camera settles into a centered hero composition on the readable title. Bright chartreuse, coral, cream and sky-blue palette; witty, refined British competition-series tone; warm directional sunlight, subtle lens flare, realistic foliage movement, cinematic depth of field, continuous single shot.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "inputs": {
        "frameImages": [
          "https://assets.runware.ai/assets/inputs/c154ff97-4b07-4e88-8efe-a1984967ed06.jpg"
        ]
      }
    }
  ]'
runware run minimax:1@1 \
  positivePrompt="The topiary artist leans in and makes one precise final snip at the peacock's crown. The polished shears flash in the sun; the clipped sprig tumbles in slow motion and a light garden breeze sends tiny green leaves spiraling across the limestone path. The peacock hedge gently shivers from the cut while the artist lowers her shears with a restrained, satisfied smile. The camera performs a smooth low dolly to the right, passing close beneath the sculpted tail feathers with rich parallax, then reveals an adjacent immaculate hedge wall bearing large, sharply trimmed recessed title lettering: “CUT ABOVE”. The drifting leaves clear away as the camera settles into a centered hero composition on the readable title. Bright chartreuse, coral, cream and sky-blue palette; witty, refined British competition-series tone; warm directional sunlight, subtle lens flare, realistic foliage movement, cinematic depth of field, continuous single shot." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  inputs.frameImages.0=https://assets.runware.ai/assets/inputs/c154ff97-4b07-4e88-8efe-a1984967ed06.jpg
{
  "taskType": "videoInference",
  "taskUUID": "4acabc6f-3cd6-4818-95dd-548af8975f90",
  "model": "minimax:1@1",
  "positivePrompt": "The topiary artist leans in and makes one precise final snip at the peacock's crown. The polished shears flash in the sun; the clipped sprig tumbles in slow motion and a light garden breeze sends tiny green leaves spiraling across the limestone path. The peacock hedge gently shivers from the cut while the artist lowers her shears with a restrained, satisfied smile. The camera performs a smooth low dolly to the right, passing close beneath the sculpted tail feathers with rich parallax, then reveals an adjacent immaculate hedge wall bearing large, sharply trimmed recessed title lettering: “CUT ABOVE”. The drifting leaves clear away as the camera settles into a centered hero composition on the readable title. Bright chartreuse, coral, cream and sky-blue palette; witty, refined British competition-series tone; warm directional sunlight, subtle lens flare, realistic foliage movement, cinematic depth of field, continuous single shot.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "inputs": {
    "frameImages": [
      "https://assets.runware.ai/assets/inputs/c154ff97-4b07-4e88-8efe-a1984967ed06.jpg"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "4acabc6f-3cd6-4818-95dd-548af8975f90",
  "videoUUID": "50869731-9fbd-478d-a69a-54883be72885",
  "videoURL": "https://vm.runware.ai/video/os/a08dlim3/ws/5/vi/50869731-9fbd-478d-a69a-54883be72885.mp4",
  "seed": 2110674573,
  "cost": 0.28
}
reference-to-video

Couture Apiary Suit Showcase Reel

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: 'Create a polished six-second fashion showcase reel that preserves the reference model, saffron-yellow apiary jumpsuit, charcoal articulated knee panels, matte brass hardware, belted silhouette, lilac gauntlets, circular smoke-gray mesh veil, lavender field and pale wooden hives. Begin with a low three-quarter full-body view as the model stands poised beside the hives. The camera glides forward and arcs smoothly around the model while they take one deliberate step, turn toward the lens and adjust a gauntlet, clearly presenting the suit\'s tailoring and protective details. A warm breeze ripples the jumpsuit, veil mesh and rows of lavender; a small natural cluster of bees drifts safely through the sunlit background. Late-afternoon light flashes softly across the brass zippers during the camera arc. Premium outdoor fashion editorial, tactile realistic fabric, elegant controlled movement, crisp subject separation, stable anatomy, coherent garment construction, cinematic 35mm lens, landscape composition, no cuts, no logos, no captions or on-screen text.',
  width: 1366,
  height: 768,
  duration: 6,
  fps: 25,
  providerSettings: {
    minimax: {
      promptOptimizer: true
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/f6eac98e-a7db-4a31-a4ce-a760e3ebf1af.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": "Create a polished six-second fashion showcase reel that preserves the reference model, saffron-yellow apiary jumpsuit, charcoal articulated knee panels, matte brass hardware, belted silhouette, lilac gauntlets, circular smoke-gray mesh veil, lavender field and pale wooden hives. Begin with a low three-quarter full-body view as the model stands poised beside the hives. The camera glides forward and arcs smoothly around the model while they take one deliberate step, turn toward the lens and adjust a gauntlet, clearly presenting the suit's tailoring and protective details. A warm breeze ripples the jumpsuit, veil mesh and rows of lavender; a small natural cluster of bees drifts safely through the sunlit background. Late-afternoon light flashes softly across the brass zippers during the camera arc. Premium outdoor fashion editorial, tactile realistic fabric, elegant controlled movement, crisp subject separation, stable anatomy, coherent garment construction, cinematic 35mm lens, landscape composition, no cuts, no logos, no captions or on-screen text.",
            "width": 1366,
            "height": 768,
            "duration": 6,
            "fps": 25,
            "providerSettings": {
                "minimax": {
                    "promptOptimizer": True
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/f6eac98e-a7db-4a31-a4ce-a760e3ebf1af.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": "4f8d536e-6a83-45ab-9e7b-58d08d380377",
      "model": "minimax:1@1",
      "positivePrompt": "Create a polished six-second fashion showcase reel that preserves the reference model, saffron-yellow apiary jumpsuit, charcoal articulated knee panels, matte brass hardware, belted silhouette, lilac gauntlets, circular smoke-gray mesh veil, lavender field and pale wooden hives. Begin with a low three-quarter full-body view as the model stands poised beside the hives. The camera glides forward and arcs smoothly around the model while they take one deliberate step, turn toward the lens and adjust a gauntlet, clearly presenting the suit's tailoring and protective details. A warm breeze ripples the jumpsuit, veil mesh and rows of lavender; a small natural cluster of bees drifts safely through the sunlit background. Late-afternoon light flashes softly across the brass zippers during the camera arc. Premium outdoor fashion editorial, tactile realistic fabric, elegant controlled movement, crisp subject separation, stable anatomy, coherent garment construction, cinematic 35mm lens, landscape composition, no cuts, no logos, no captions or on-screen text.",
      "width": 1366,
      "height": 768,
      "duration": 6,
      "fps": 25,
      "providerSettings": {
        "minimax": {
          "promptOptimizer": true
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/f6eac98e-a7db-4a31-a4ce-a760e3ebf1af.jpg"
        ]
      }
    }
  ]'
runware run minimax:1@1 \
  positivePrompt="Create a polished six-second fashion showcase reel that preserves the reference model, saffron-yellow apiary jumpsuit, charcoal articulated knee panels, matte brass hardware, belted silhouette, lilac gauntlets, circular smoke-gray mesh veil, lavender field and pale wooden hives. Begin with a low three-quarter full-body view as the model stands poised beside the hives. The camera glides forward and arcs smoothly around the model while they take one deliberate step, turn toward the lens and adjust a gauntlet, clearly presenting the suit's tailoring and protective details. A warm breeze ripples the jumpsuit, veil mesh and rows of lavender; a small natural cluster of bees drifts safely through the sunlit background. Late-afternoon light flashes softly across the brass zippers during the camera arc. Premium outdoor fashion editorial, tactile realistic fabric, elegant controlled movement, crisp subject separation, stable anatomy, coherent garment construction, cinematic 35mm lens, landscape composition, no cuts, no logos, no captions or on-screen text." \
  width=1366 \
  height=768 \
  duration=6 \
  fps=25 \
  providerSettings.minimax.promptOptimizer=true \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/f6eac98e-a7db-4a31-a4ce-a760e3ebf1af.jpg
{
  "taskType": "videoInference",
  "taskUUID": "4f8d536e-6a83-45ab-9e7b-58d08d380377",
  "model": "minimax:1@1",
  "positivePrompt": "Create a polished six-second fashion showcase reel that preserves the reference model, saffron-yellow apiary jumpsuit, charcoal articulated knee panels, matte brass hardware, belted silhouette, lilac gauntlets, circular smoke-gray mesh veil, lavender field and pale wooden hives. Begin with a low three-quarter full-body view as the model stands poised beside the hives. The camera glides forward and arcs smoothly around the model while they take one deliberate step, turn toward the lens and adjust a gauntlet, clearly presenting the suit's tailoring and protective details. A warm breeze ripples the jumpsuit, veil mesh and rows of lavender; a small natural cluster of bees drifts safely through the sunlit background. Late-afternoon light flashes softly across the brass zippers during the camera arc. Premium outdoor fashion editorial, tactile realistic fabric, elegant controlled movement, crisp subject separation, stable anatomy, coherent garment construction, cinematic 35mm lens, landscape composition, no cuts, no logos, no captions or on-screen text.",
  "width": 1366,
  "height": 768,
  "duration": 6,
  "fps": 25,
  "providerSettings": {
    "minimax": {
      "promptOptimizer": true
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/f6eac98e-a7db-4a31-a4ce-a760e3ebf1af.jpg"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "4f8d536e-6a83-45ab-9e7b-58d08d380377",
  "videoUUID": "88e4480b-21d2-457e-9be4-10152f699b4b",
  "videoURL": "https://vm.runware.ai/video/os/a01d21/ws/5/vi/88e4480b-21d2-457e-9be4-10152f699b4b.mp4",
  "seed": 1038648376,
  "cost": 0.42
}
Text to Video

Submerged Cathedral Aisle 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: '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"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "1dd507d3-bffc-46b7-a80b-b17a3a1d3da8",
  "videoUUID": "5eaa7f6c-9b39-4b9c-b0be-b6bd6a597638",
  "videoURL": "https://vm.runware.ai/video/os/a13d12/ws/5/vi/5eaa7f6c-9b39-4b9c-b0be-b6bd6a597638.mp4",
  "seed": 1619441410,
  "cost": 0.42
}
Text to Video

Submerged Metro Terminal Evacuation

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
    }
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "167649e3-92a1-4abc-a11d-128b75a158d6",
  "videoUUID": "21ac81c8-b08b-43d9-9ea2-76468a54eac6",
  "videoURL": "https://vm.runware.ai/video/os/a19d05/ws/5/vi/21ac81c8-b08b-43d9-9ea2-76468a54eac6.mp4",
  "seed": 1211037798,
  "cost": 0.28
}
Text to Video

Rain-Slick Alley Noodle Stall

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"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "f4ec6013-7b6d-4541-9a2e-497e9b653d48",
  "videoUUID": "9ebeb19b-0fb5-4718-ae40-3df2915d32ba",
  "videoURL": "https://vm.runware.ai/video/os/a23d05/ws/5/vi/9ebeb19b-0fb5-4718-ae40-3df2915d32ba.mp4",
  "seed": 173317559,
  "cost": 0.28
}
Text to Video

Glacier Monastery Signal 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: '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"
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "877999e1-1bf9-471b-8426-31f0ff94f097",
  "videoUUID": "0dcc4a4e-3870-461f-8d9a-922500ac4c58",
  "videoURL": "https://vm.runware.ai/video/os/a02d21/ws/5/vi/0dcc4a4e-3870-461f-8d9a-922500ac4c58.mp4",
  "seed": 1595861495,
  "cost": 0.42
}
Text to Video

Submerged Grand Ballroom Reverie

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"
      }
    ]
  }
}
Response
{
  "taskType": "videoInference",
  "taskUUID": "2a073cc2-e4d9-4182-ac98-e72dc0ba13aa",
  "videoUUID": "42d00628-232d-4670-9d32-2a69ec6559ef",
  "videoURL": "https://vm.runware.ai/video/os/a14d18/ws/5/vi/42d00628-232d-4670-9d32-2a69ec6559ef.mp4",
  "seed": 1148704534,
  "cost": 0.28
}