LTX-2.3 Fast

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'Create a polished five-second cinematic logo ident for LITTORAL LABS, a seaweed-based biomaterials research company. Begin on a full-frame field of tactile midnight-blue paper with faint fibers visible. A thin copper line sweeps in from the lower left like an ink stroke, tracing two elegant mirrored kelp blades that unfurl and curl around each other to form a minimal circular emblem. Tiny salt-like particles lift from the paper as the mark completes, while soft underwater caustic light drifts slowly across the background. The emblem settles at center and the words “LITTORAL LABS” resolve beneath it in crisp, uppercase, widely tracked ivory sans-serif lettering; preserve this exact spelling and include no other text. Subject motion is graceful botanical unfurling with precise graphic-line animation; environmental motion is restrained drifting caustics and suspended particles. Camera begins in a straight-down macro view, makes a subtle controlled push toward the forming emblem, then locks perfectly centered for the final brand hold. Sophisticated editorial motion design, marine-science aesthetic, restrained palette of midnight blue, warm copper and bone ivory, premium natural texture, clean edges, strong legibility, no mockup or interface. Synchronized sound design: a soft paper brush, delicate watery shimmer and one warm glass chime as the logo locks into place; no speech or music.',
  width: 1920,
  height: 1088,
  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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "Create a polished five-second cinematic logo ident for LITTORAL LABS, a seaweed-based biomaterials research company. Begin on a full-frame field of tactile midnight-blue paper with faint fibers visible. A thin copper line sweeps in from the lower left like an ink stroke, tracing two elegant mirrored kelp blades that unfurl and curl around each other to form a minimal circular emblem. Tiny salt-like particles lift from the paper as the mark completes, while soft underwater caustic light drifts slowly across the background. The emblem settles at center and the words “LITTORAL LABS” resolve beneath it in crisp, uppercase, widely tracked ivory sans-serif lettering; preserve this exact spelling and include no other text. Subject motion is graceful botanical unfurling with precise graphic-line animation; environmental motion is restrained drifting caustics and suspended particles. Camera begins in a straight-down macro view, makes a subtle controlled push toward the forming emblem, then locks perfectly centered for the final brand hold. Sophisticated editorial motion design, marine-science aesthetic, restrained palette of midnight blue, warm copper and bone ivory, premium natural texture, clean edges, strong legibility, no mockup or interface. Synchronized sound design: a soft paper brush, delicate watery shimmer and one warm glass chime as the logo locks into place; no speech or music.",
            "width": 1920,
            "height": 1088,
            "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": "1190930f-08a6-4aa9-a6c7-fafd6a9d204e",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "Create a polished five-second cinematic logo ident for LITTORAL LABS, a seaweed-based biomaterials research company. Begin on a full-frame field of tactile midnight-blue paper with faint fibers visible. A thin copper line sweeps in from the lower left like an ink stroke, tracing two elegant mirrored kelp blades that unfurl and curl around each other to form a minimal circular emblem. Tiny salt-like particles lift from the paper as the mark completes, while soft underwater caustic light drifts slowly across the background. The emblem settles at center and the words “LITTORAL LABS” resolve beneath it in crisp, uppercase, widely tracked ivory sans-serif lettering; preserve this exact spelling and include no other text. Subject motion is graceful botanical unfurling with precise graphic-line animation; environmental motion is restrained drifting caustics and suspended particles. Camera begins in a straight-down macro view, makes a subtle controlled push toward the forming emblem, then locks perfectly centered for the final brand hold. Sophisticated editorial motion design, marine-science aesthetic, restrained palette of midnight blue, warm copper and bone ivory, premium natural texture, clean edges, strong legibility, no mockup or interface. Synchronized sound design: a soft paper brush, delicate watery shimmer and one warm glass chime as the logo locks into place; no speech or music.",
      "width": 1920,
      "height": 1088,
      "duration": 5
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="Create a polished five-second cinematic logo ident for LITTORAL LABS, a seaweed-based biomaterials research company. Begin on a full-frame field of tactile midnight-blue paper with faint fibers visible. A thin copper line sweeps in from the lower left like an ink stroke, tracing two elegant mirrored kelp blades that unfurl and curl around each other to form a minimal circular emblem. Tiny salt-like particles lift from the paper as the mark completes, while soft underwater caustic light drifts slowly across the background. The emblem settles at center and the words “LITTORAL LABS” resolve beneath it in crisp, uppercase, widely tracked ivory sans-serif lettering; preserve this exact spelling and include no other text. Subject motion is graceful botanical unfurling with precise graphic-line animation; environmental motion is restrained drifting caustics and suspended particles. Camera begins in a straight-down macro view, makes a subtle controlled push toward the forming emblem, then locks perfectly centered for the final brand hold. Sophisticated editorial motion design, marine-science aesthetic, restrained palette of midnight blue, warm copper and bone ivory, premium natural texture, clean edges, strong legibility, no mockup or interface. Synchronized sound design: a soft paper brush, delicate watery shimmer and one warm glass chime as the logo locks into place; no speech or music." \
  width=1920 \
  height=1088 \
  duration=5

{
  "taskType": "videoInference",
  "taskUUID": "1190930f-08a6-4aa9-a6c7-fafd6a9d204e",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "Create a polished five-second cinematic logo ident for LITTORAL LABS, a seaweed-based biomaterials research company. Begin on a full-frame field of tactile midnight-blue paper with faint fibers visible. A thin copper line sweeps in from the lower left like an ink stroke, tracing two elegant mirrored kelp blades that unfurl and curl around each other to form a minimal circular emblem. Tiny salt-like particles lift from the paper as the mark completes, while soft underwater caustic light drifts slowly across the background. The emblem settles at center and the words “LITTORAL LABS” resolve beneath it in crisp, uppercase, widely tracked ivory sans-serif lettering; preserve this exact spelling and include no other text. Subject motion is graceful botanical unfurling with precise graphic-line animation; environmental motion is restrained drifting caustics and suspended particles. Camera begins in a straight-down macro view, makes a subtle controlled push toward the forming emblem, then locks perfectly centered for the final brand hold. Sophisticated editorial motion design, marine-science aesthetic, restrained palette of midnight blue, warm copper and bone ivory, premium natural texture, clean edges, strong legibility, no mockup or interface. Synchronized sound design: a soft paper brush, delicate watery shimmer and one warm glass chime as the logo locks into place; no speech or music.",
  "width": 1920,
  "height": 1088,
  "duration": 5
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'Continue directly from the supplied first-frame logo artwork as a refined six-second seamless motion identity. Preserve the exact RIDGELINE FIRE ATLAS emblem, spelling, typography, proportions, centered portrait composition, ivory paper background, charcoal ink, and safety-orange accent throughout. Begin with the complete logo held still for a brief beat. The circular contour lines then animate organically along their existing paths like elevation data being plotted: successive charcoal rings travel outward with subtle hand-printed registration drift while the small orange map marker emits one restrained pulse. Fine orange route traces race around two contour arcs, then settle into the emblem. Add delicate tactile paper depth and barely perceptible ink grain movement without changing the clean flat-design character. Keep the wordmark stationary, sharp, and fully legible while the symbol moves. In the final second, all moving traces retract smoothly and the orange pulse fades, returning precisely to the supplied opening frame for a perfect loop. Locked camera, no zoom, no scene transition, no additional symbols or text. Subtle synchronized sound design: a soft paper rustle, quiet cartographic pencil ticks, and one muted low click on the orange pulse, resolving cleanly at the loop point.',
  width: 1088,
  height: 1920,
  duration: 6,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/68bdab3b-8b4e-4f97-b361-498df638871e.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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "Continue directly from the supplied first-frame logo artwork as a refined six-second seamless motion identity. Preserve the exact RIDGELINE FIRE ATLAS emblem, spelling, typography, proportions, centered portrait composition, ivory paper background, charcoal ink, and safety-orange accent throughout. Begin with the complete logo held still for a brief beat. The circular contour lines then animate organically along their existing paths like elevation data being plotted: successive charcoal rings travel outward with subtle hand-printed registration drift while the small orange map marker emits one restrained pulse. Fine orange route traces race around two contour arcs, then settle into the emblem. Add delicate tactile paper depth and barely perceptible ink grain movement without changing the clean flat-design character. Keep the wordmark stationary, sharp, and fully legible while the symbol moves. In the final second, all moving traces retract smoothly and the orange pulse fades, returning precisely to the supplied opening frame for a perfect loop. Locked camera, no zoom, no scene transition, no additional symbols or text. Subtle synchronized sound design: a soft paper rustle, quiet cartographic pencil ticks, and one muted low click on the orange pulse, resolving cleanly at the loop point.",
            "width": 1088,
            "height": 1920,
            "duration": 6,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/68bdab3b-8b4e-4f97-b361-498df638871e.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": "cc9b7ef3-1fd1-4756-943e-0272f807abbd",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "Continue directly from the supplied first-frame logo artwork as a refined six-second seamless motion identity. Preserve the exact RIDGELINE FIRE ATLAS emblem, spelling, typography, proportions, centered portrait composition, ivory paper background, charcoal ink, and safety-orange accent throughout. Begin with the complete logo held still for a brief beat. The circular contour lines then animate organically along their existing paths like elevation data being plotted: successive charcoal rings travel outward with subtle hand-printed registration drift while the small orange map marker emits one restrained pulse. Fine orange route traces race around two contour arcs, then settle into the emblem. Add delicate tactile paper depth and barely perceptible ink grain movement without changing the clean flat-design character. Keep the wordmark stationary, sharp, and fully legible while the symbol moves. In the final second, all moving traces retract smoothly and the orange pulse fades, returning precisely to the supplied opening frame for a perfect loop. Locked camera, no zoom, no scene transition, no additional symbols or text. Subtle synchronized sound design: a soft paper rustle, quiet cartographic pencil ticks, and one muted low click on the orange pulse, resolving cleanly at the loop point.",
      "width": 1088,
      "height": 1920,
      "duration": 6,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/68bdab3b-8b4e-4f97-b361-498df638871e.jpg",
            "frame": "first"
          }
        ]
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="Continue directly from the supplied first-frame logo artwork as a refined six-second seamless motion identity. Preserve the exact RIDGELINE FIRE ATLAS emblem, spelling, typography, proportions, centered portrait composition, ivory paper background, charcoal ink, and safety-orange accent throughout. Begin with the complete logo held still for a brief beat. The circular contour lines then animate organically along their existing paths like elevation data being plotted: successive charcoal rings travel outward with subtle hand-printed registration drift while the small orange map marker emits one restrained pulse. Fine orange route traces race around two contour arcs, then settle into the emblem. Add delicate tactile paper depth and barely perceptible ink grain movement without changing the clean flat-design character. Keep the wordmark stationary, sharp, and fully legible while the symbol moves. In the final second, all moving traces retract smoothly and the orange pulse fades, returning precisely to the supplied opening frame for a perfect loop. Locked camera, no zoom, no scene transition, no additional symbols or text. Subtle synchronized sound design: a soft paper rustle, quiet cartographic pencil ticks, and one muted low click on the orange pulse, resolving cleanly at the loop point." \
  width=1088 \
  height=1920 \
  duration=6 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/68bdab3b-8b4e-4f97-b361-498df638871e.jpg \
  inputs.frameImages.0.frame=first

{
  "taskType": "videoInference",
  "taskUUID": "cc9b7ef3-1fd1-4756-943e-0272f807abbd",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "Continue directly from the supplied first-frame logo artwork as a refined six-second seamless motion identity. Preserve the exact RIDGELINE FIRE ATLAS emblem, spelling, typography, proportions, centered portrait composition, ivory paper background, charcoal ink, and safety-orange accent throughout. Begin with the complete logo held still for a brief beat. The circular contour lines then animate organically along their existing paths like elevation data being plotted: successive charcoal rings travel outward with subtle hand-printed registration drift while the small orange map marker emits one restrained pulse. Fine orange route traces race around two contour arcs, then settle into the emblem. Add delicate tactile paper depth and barely perceptible ink grain movement without changing the clean flat-design character. Keep the wordmark stationary, sharp, and fully legible while the symbol moves. In the final second, all moving traces retract smoothly and the orange pulse fades, returning precisely to the supplied opening frame for a perfect loop. Locked camera, no zoom, no scene transition, no additional symbols or text. Subtle synchronized sound design: a soft paper rustle, quiet cartographic pencil ticks, and one muted low click on the orange pulse, resolving cleanly at the loop point.",
  "width": 1088,
  "height": 1920,
  "duration": 6,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/68bdab3b-8b4e-4f97-b361-498df638871e.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: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'Create a polished eight-second landscape fashion showcase reel connecting the supplied first and last frames in one continuous shot. Preserve the same model, ivory couture beekeeping suit, veil geometry, garment construction, courtyard and warm morning light throughout. Begin at the front-left three-quarter view. The camera makes a slow, precise clockwise orbit around the model at a constant distance, ending naturally at the supplied back-right three-quarter view. The model remains poised and nearly still, shifting her weight once and gently lowering one caramel-gloved hand so the tailored silhouette stays readable. A light breeze creates restrained movement in the veil mesh, pleated shoulders, dry grasses and loose canvas edges. Brief sunlight glances across the honey-gold seam tape and textured fabric as the camera passes the side profile. Premium sustainable workwear editorial art direction, elegant and tactile rather than rugged, chalky ivory, limestone, amber honey and muted black palette, crisp realistic materials, subtle depth of field, stable anatomy and consistent garment details. Seamless physical motion with no cuts, morphing, duplicated limbs, added accessories, logos, captions or on-screen text. Synchronized natural sound design: quiet linen rustle, soft courtyard breeze, distant restrained bee hum and one subtle leather glove creak.',
  width: 1280,
  height: 768,
  duration: 8,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/70105daa-bd79-4be6-a579-2e2114fe5780.jpg',
        frame: 'first'
      },
      {
        image: 'https://assets.runware.ai/assets/inputs/2dd89895-d8af-42da-b084-6c36d0a4299a.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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "Create a polished eight-second landscape fashion showcase reel connecting the supplied first and last frames in one continuous shot. Preserve the same model, ivory couture beekeeping suit, veil geometry, garment construction, courtyard and warm morning light throughout. Begin at the front-left three-quarter view. The camera makes a slow, precise clockwise orbit around the model at a constant distance, ending naturally at the supplied back-right three-quarter view. The model remains poised and nearly still, shifting her weight once and gently lowering one caramel-gloved hand so the tailored silhouette stays readable. A light breeze creates restrained movement in the veil mesh, pleated shoulders, dry grasses and loose canvas edges. Brief sunlight glances across the honey-gold seam tape and textured fabric as the camera passes the side profile. Premium sustainable workwear editorial art direction, elegant and tactile rather than rugged, chalky ivory, limestone, amber honey and muted black palette, crisp realistic materials, subtle depth of field, stable anatomy and consistent garment details. Seamless physical motion with no cuts, morphing, duplicated limbs, added accessories, logos, captions or on-screen text. Synchronized natural sound design: quiet linen rustle, soft courtyard breeze, distant restrained bee hum and one subtle leather glove creak.",
            "width": 1280,
            "height": 768,
            "duration": 8,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/70105daa-bd79-4be6-a579-2e2114fe5780.jpg",
                        "frame": "first"
                    },
                    {
                        "image": "https://assets.runware.ai/assets/inputs/2dd89895-d8af-42da-b084-6c36d0a4299a.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": "1de6a5c7-1bbf-42be-9cc2-d21ef63ddf74",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "Create a polished eight-second landscape fashion showcase reel connecting the supplied first and last frames in one continuous shot. Preserve the same model, ivory couture beekeeping suit, veil geometry, garment construction, courtyard and warm morning light throughout. Begin at the front-left three-quarter view. The camera makes a slow, precise clockwise orbit around the model at a constant distance, ending naturally at the supplied back-right three-quarter view. The model remains poised and nearly still, shifting her weight once and gently lowering one caramel-gloved hand so the tailored silhouette stays readable. A light breeze creates restrained movement in the veil mesh, pleated shoulders, dry grasses and loose canvas edges. Brief sunlight glances across the honey-gold seam tape and textured fabric as the camera passes the side profile. Premium sustainable workwear editorial art direction, elegant and tactile rather than rugged, chalky ivory, limestone, amber honey and muted black palette, crisp realistic materials, subtle depth of field, stable anatomy and consistent garment details. Seamless physical motion with no cuts, morphing, duplicated limbs, added accessories, logos, captions or on-screen text. Synchronized natural sound design: quiet linen rustle, soft courtyard breeze, distant restrained bee hum and one subtle leather glove creak.",
      "width": 1280,
      "height": 768,
      "duration": 8,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/70105daa-bd79-4be6-a579-2e2114fe5780.jpg",
            "frame": "first"
          },
          {
            "image": "https://assets.runware.ai/assets/inputs/2dd89895-d8af-42da-b084-6c36d0a4299a.jpg",
            "frame": "last"
          }
        ]
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="Create a polished eight-second landscape fashion showcase reel connecting the supplied first and last frames in one continuous shot. Preserve the same model, ivory couture beekeeping suit, veil geometry, garment construction, courtyard and warm morning light throughout. Begin at the front-left three-quarter view. The camera makes a slow, precise clockwise orbit around the model at a constant distance, ending naturally at the supplied back-right three-quarter view. The model remains poised and nearly still, shifting her weight once and gently lowering one caramel-gloved hand so the tailored silhouette stays readable. A light breeze creates restrained movement in the veil mesh, pleated shoulders, dry grasses and loose canvas edges. Brief sunlight glances across the honey-gold seam tape and textured fabric as the camera passes the side profile. Premium sustainable workwear editorial art direction, elegant and tactile rather than rugged, chalky ivory, limestone, amber honey and muted black palette, crisp realistic materials, subtle depth of field, stable anatomy and consistent garment details. Seamless physical motion with no cuts, morphing, duplicated limbs, added accessories, logos, captions or on-screen text. Synchronized natural sound design: quiet linen rustle, soft courtyard breeze, distant restrained bee hum and one subtle leather glove creak." \
  width=1280 \
  height=768 \
  duration=8 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/70105daa-bd79-4be6-a579-2e2114fe5780.jpg \
  inputs.frameImages.0.frame=first \
  inputs.frameImages.1.image=https://assets.runware.ai/assets/inputs/2dd89895-d8af-42da-b084-6c36d0a4299a.jpg \
  inputs.frameImages.1.frame=last

{
  "taskType": "videoInference",
  "taskUUID": "1de6a5c7-1bbf-42be-9cc2-d21ef63ddf74",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "Create a polished eight-second landscape fashion showcase reel connecting the supplied first and last frames in one continuous shot. Preserve the same model, ivory couture beekeeping suit, veil geometry, garment construction, courtyard and warm morning light throughout. Begin at the front-left three-quarter view. The camera makes a slow, precise clockwise orbit around the model at a constant distance, ending naturally at the supplied back-right three-quarter view. The model remains poised and nearly still, shifting her weight once and gently lowering one caramel-gloved hand so the tailored silhouette stays readable. A light breeze creates restrained movement in the veil mesh, pleated shoulders, dry grasses and loose canvas edges. Brief sunlight glances across the honey-gold seam tape and textured fabric as the camera passes the side profile. Premium sustainable workwear editorial art direction, elegant and tactile rather than rugged, chalky ivory, limestone, amber honey and muted black palette, crisp realistic materials, subtle depth of field, stable anatomy and consistent garment details. Seamless physical motion with no cuts, morphing, duplicated limbs, added accessories, logos, captions or on-screen text. Synchronized natural sound design: quiet linen rustle, soft courtyard breeze, distant restrained bee hum and one subtle leather glove creak.",
  "width": 1280,
  "height": 768,
  "duration": 8,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/70105daa-bd79-4be6-a579-2e2114fe5780.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/2dd89895-d8af-42da-b084-6c36d0a4299a.jpg",
        "frame": "last"
      }
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'Create a polished ten-second talking-head safety training clip for library and museum staff. Maintain strict visual continuity through all three supplied keyframes: the same paper conservation laboratory, locked waist-up camera, soft window light, celadon walls, pale wood bench, archival shelves and muted cream, celadon and oxblood palette. The presenter is the same calm 58-year-old East Asian woman with a neat silver bob, oxblood conservation smock, cream collared shirt and pale nitrile gloves. She speaks directly to the viewer with natural facial movement, precise lip synchronization and a reassuring expert tone. Her gestures progress coherently: she begins beside the closed damp ledger, carefully blots its cover without opening it, slides it into the clear archival bag at the middle keyframe, seals the bag, then lowers it into the blue freezer crate by the final keyframe. Keep her upper body and face visible while she demonstrates. Spoken dialogue: “If a book gets soaked, don’t open it. Blot the cover, bag it, and freeze it within forty-eight hours to stop mold.” Realistic hand motion and object handling, subtle blinks and breathing, clean location dialogue with faint quiet laboratory room tone, no music, no camera movement, no cuts, no captions, no graphics, no logos.',
  width: 1536,
  height: 896,
  duration: 10,
  inputs: {
    frameImages: [
      {
        image: 'https://assets.runware.ai/assets/inputs/ca329bc5-de96-456f-8682-1adf904ab35c.jpg',
        frame: 'first'
      },
      {
        image: 'https://assets.runware.ai/assets/inputs/27013418-59b4-43d1-b500-b824147eea14.jpg',
        frame: 125
      },
      {
        image: 'https://assets.runware.ai/assets/inputs/c21f4bd9-5bf7-4f5a-8c90-cc91ffb15498.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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "Create a polished ten-second talking-head safety training clip for library and museum staff. Maintain strict visual continuity through all three supplied keyframes: the same paper conservation laboratory, locked waist-up camera, soft window light, celadon walls, pale wood bench, archival shelves and muted cream, celadon and oxblood palette. The presenter is the same calm 58-year-old East Asian woman with a neat silver bob, oxblood conservation smock, cream collared shirt and pale nitrile gloves. She speaks directly to the viewer with natural facial movement, precise lip synchronization and a reassuring expert tone. Her gestures progress coherently: she begins beside the closed damp ledger, carefully blots its cover without opening it, slides it into the clear archival bag at the middle keyframe, seals the bag, then lowers it into the blue freezer crate by the final keyframe. Keep her upper body and face visible while she demonstrates. Spoken dialogue: “If a book gets soaked, don’t open it. Blot the cover, bag it, and freeze it within forty-eight hours to stop mold.” Realistic hand motion and object handling, subtle blinks and breathing, clean location dialogue with faint quiet laboratory room tone, no music, no camera movement, no cuts, no captions, no graphics, no logos.",
            "width": 1536,
            "height": 896,
            "duration": 10,
            "inputs": {
                "frameImages": [
                    {
                        "image": "https://assets.runware.ai/assets/inputs/ca329bc5-de96-456f-8682-1adf904ab35c.jpg",
                        "frame": "first"
                    },
                    {
                        "image": "https://assets.runware.ai/assets/inputs/27013418-59b4-43d1-b500-b824147eea14.jpg",
                        "frame": 125
                    },
                    {
                        "image": "https://assets.runware.ai/assets/inputs/c21f4bd9-5bf7-4f5a-8c90-cc91ffb15498.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": "3ba13b43-77ee-4afe-8789-f97a7074eb53",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "Create a polished ten-second talking-head safety training clip for library and museum staff. Maintain strict visual continuity through all three supplied keyframes: the same paper conservation laboratory, locked waist-up camera, soft window light, celadon walls, pale wood bench, archival shelves and muted cream, celadon and oxblood palette. The presenter is the same calm 58-year-old East Asian woman with a neat silver bob, oxblood conservation smock, cream collared shirt and pale nitrile gloves. She speaks directly to the viewer with natural facial movement, precise lip synchronization and a reassuring expert tone. Her gestures progress coherently: she begins beside the closed damp ledger, carefully blots its cover without opening it, slides it into the clear archival bag at the middle keyframe, seals the bag, then lowers it into the blue freezer crate by the final keyframe. Keep her upper body and face visible while she demonstrates. Spoken dialogue: “If a book gets soaked, don’t open it. Blot the cover, bag it, and freeze it within forty-eight hours to stop mold.” Realistic hand motion and object handling, subtle blinks and breathing, clean location dialogue with faint quiet laboratory room tone, no music, no camera movement, no cuts, no captions, no graphics, no logos.",
      "width": 1536,
      "height": 896,
      "duration": 10,
      "inputs": {
        "frameImages": [
          {
            "image": "https://assets.runware.ai/assets/inputs/ca329bc5-de96-456f-8682-1adf904ab35c.jpg",
            "frame": "first"
          },
          {
            "image": "https://assets.runware.ai/assets/inputs/27013418-59b4-43d1-b500-b824147eea14.jpg",
            "frame": 125
          },
          {
            "image": "https://assets.runware.ai/assets/inputs/c21f4bd9-5bf7-4f5a-8c90-cc91ffb15498.jpg",
            "frame": "last"
          }
        ]
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="Create a polished ten-second talking-head safety training clip for library and museum staff. Maintain strict visual continuity through all three supplied keyframes: the same paper conservation laboratory, locked waist-up camera, soft window light, celadon walls, pale wood bench, archival shelves and muted cream, celadon and oxblood palette. The presenter is the same calm 58-year-old East Asian woman with a neat silver bob, oxblood conservation smock, cream collared shirt and pale nitrile gloves. She speaks directly to the viewer with natural facial movement, precise lip synchronization and a reassuring expert tone. Her gestures progress coherently: she begins beside the closed damp ledger, carefully blots its cover without opening it, slides it into the clear archival bag at the middle keyframe, seals the bag, then lowers it into the blue freezer crate by the final keyframe. Keep her upper body and face visible while she demonstrates. Spoken dialogue: “If a book gets soaked, don’t open it. Blot the cover, bag it, and freeze it within forty-eight hours to stop mold.” Realistic hand motion and object handling, subtle blinks and breathing, clean location dialogue with faint quiet laboratory room tone, no music, no camera movement, no cuts, no captions, no graphics, no logos." \
  width=1536 \
  height=896 \
  duration=10 \
  inputs.frameImages.0.image=https://assets.runware.ai/assets/inputs/ca329bc5-de96-456f-8682-1adf904ab35c.jpg \
  inputs.frameImages.0.frame=first \
  inputs.frameImages.1.image=https://assets.runware.ai/assets/inputs/27013418-59b4-43d1-b500-b824147eea14.jpg \
  inputs.frameImages.1.frame=125 \
  inputs.frameImages.2.image=https://assets.runware.ai/assets/inputs/c21f4bd9-5bf7-4f5a-8c90-cc91ffb15498.jpg \
  inputs.frameImages.2.frame=last

{
  "taskType": "videoInference",
  "taskUUID": "3ba13b43-77ee-4afe-8789-f97a7074eb53",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "Create a polished ten-second talking-head safety training clip for library and museum staff. Maintain strict visual continuity through all three supplied keyframes: the same paper conservation laboratory, locked waist-up camera, soft window light, celadon walls, pale wood bench, archival shelves and muted cream, celadon and oxblood palette. The presenter is the same calm 58-year-old East Asian woman with a neat silver bob, oxblood conservation smock, cream collared shirt and pale nitrile gloves. She speaks directly to the viewer with natural facial movement, precise lip synchronization and a reassuring expert tone. Her gestures progress coherently: she begins beside the closed damp ledger, carefully blots its cover without opening it, slides it into the clear archival bag at the middle keyframe, seals the bag, then lowers it into the blue freezer crate by the final keyframe. Keep her upper body and face visible while she demonstrates. Spoken dialogue: “If a book gets soaked, don’t open it. Blot the cover, bag it, and freeze it within forty-eight hours to stop mold.” Realistic hand motion and object handling, subtle blinks and breathing, clean location dialogue with faint quiet laboratory room tone, no music, no camera movement, no cuts, no captions, no graphics, no logos.",
  "width": 1536,
  "height": 896,
  "duration": 10,
  "inputs": {
    "frameImages": [
      {
        "image": "https://assets.runware.ai/assets/inputs/ca329bc5-de96-456f-8682-1adf904ab35c.jpg",
        "frame": "first"
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/27013418-59b4-43d1-b500-b824147eea14.jpg",
        "frame": 125
      },
      {
        "image": "https://assets.runware.ai/assets/inputs/c21f4bd9-5bf7-4f5a-8c90-cc91ffb15498.jpg",
        "frame": "last"
      }
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'Create a polished 12-second talking-head training clip synchronized precisely to the supplied speech. A confident female marine pathologist in her early forties addresses the camera inside a modern oyster hatchery nursery. Chest-up square composition, centered with comfortable headroom. She wears clean sea-green waterproof overalls over a pale coral work shirt, with tied-back dark hair and no hat or face covering. Behind her, softly defocused turquoise cultivation tanks, white pipes, suspended hoses, and gentle water aeration establish a credible working shellfish facility without distracting from her face. Bright diffused daylight mixes with clean overhead industrial lighting for a fresh aqua, white, and coral palette. Her mouth movements accurately follow every word of the audio. She maintains reassuring eye contact and uses restrained, natural gestures timed to the instructions: a small downward gesture for rinsing boots, an open-hand gesture for sanitizing tools, and a subtle indication toward the tanks when mentioning logging visits. Her expression becomes slightly more earnest on the final sentence about protecting young oysters. Locked-off professional camera with a barely perceptible slow push-in, realistic facial motion, natural blinking, subtle breathing, accurate hands, documentary-style authenticity, crisp commercial training-video finish. One continuous take, no cuts, no captions, no logos, no on-screen text, no interface elements.',
  width: 1024,
  height: 1024,
  duration: 12,
  inputs: {
    audio: 'https://assets.runware.ai/assets/inputs/ce692887-ce17-4f11-802e-2ba01001d54d.mp3'
  }
})

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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "Create a polished 12-second talking-head training clip synchronized precisely to the supplied speech. A confident female marine pathologist in her early forties addresses the camera inside a modern oyster hatchery nursery. Chest-up square composition, centered with comfortable headroom. She wears clean sea-green waterproof overalls over a pale coral work shirt, with tied-back dark hair and no hat or face covering. Behind her, softly defocused turquoise cultivation tanks, white pipes, suspended hoses, and gentle water aeration establish a credible working shellfish facility without distracting from her face. Bright diffused daylight mixes with clean overhead industrial lighting for a fresh aqua, white, and coral palette. Her mouth movements accurately follow every word of the audio. She maintains reassuring eye contact and uses restrained, natural gestures timed to the instructions: a small downward gesture for rinsing boots, an open-hand gesture for sanitizing tools, and a subtle indication toward the tanks when mentioning logging visits. Her expression becomes slightly more earnest on the final sentence about protecting young oysters. Locked-off professional camera with a barely perceptible slow push-in, realistic facial motion, natural blinking, subtle breathing, accurate hands, documentary-style authenticity, crisp commercial training-video finish. One continuous take, no cuts, no captions, no logos, no on-screen text, no interface elements.",
            "width": 1024,
            "height": 1024,
            "duration": 12,
            "inputs": {
                "audio": "https://assets.runware.ai/assets/inputs/ce692887-ce17-4f11-802e-2ba01001d54d.mp3"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "0224cf1f-3d2b-497a-b473-3cc9942d6894",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "Create a polished 12-second talking-head training clip synchronized precisely to the supplied speech. A confident female marine pathologist in her early forties addresses the camera inside a modern oyster hatchery nursery. Chest-up square composition, centered with comfortable headroom. She wears clean sea-green waterproof overalls over a pale coral work shirt, with tied-back dark hair and no hat or face covering. Behind her, softly defocused turquoise cultivation tanks, white pipes, suspended hoses, and gentle water aeration establish a credible working shellfish facility without distracting from her face. Bright diffused daylight mixes with clean overhead industrial lighting for a fresh aqua, white, and coral palette. Her mouth movements accurately follow every word of the audio. She maintains reassuring eye contact and uses restrained, natural gestures timed to the instructions: a small downward gesture for rinsing boots, an open-hand gesture for sanitizing tools, and a subtle indication toward the tanks when mentioning logging visits. Her expression becomes slightly more earnest on the final sentence about protecting young oysters. Locked-off professional camera with a barely perceptible slow push-in, realistic facial motion, natural blinking, subtle breathing, accurate hands, documentary-style authenticity, crisp commercial training-video finish. One continuous take, no cuts, no captions, no logos, no on-screen text, no interface elements.",
      "width": 1024,
      "height": 1024,
      "duration": 12,
      "inputs": {
        "audio": "https://assets.runware.ai/assets/inputs/ce692887-ce17-4f11-802e-2ba01001d54d.mp3"
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="Create a polished 12-second talking-head training clip synchronized precisely to the supplied speech. A confident female marine pathologist in her early forties addresses the camera inside a modern oyster hatchery nursery. Chest-up square composition, centered with comfortable headroom. She wears clean sea-green waterproof overalls over a pale coral work shirt, with tied-back dark hair and no hat or face covering. Behind her, softly defocused turquoise cultivation tanks, white pipes, suspended hoses, and gentle water aeration establish a credible working shellfish facility without distracting from her face. Bright diffused daylight mixes with clean overhead industrial lighting for a fresh aqua, white, and coral palette. Her mouth movements accurately follow every word of the audio. She maintains reassuring eye contact and uses restrained, natural gestures timed to the instructions: a small downward gesture for rinsing boots, an open-hand gesture for sanitizing tools, and a subtle indication toward the tanks when mentioning logging visits. Her expression becomes slightly more earnest on the final sentence about protecting young oysters. Locked-off professional camera with a barely perceptible slow push-in, realistic facial motion, natural blinking, subtle breathing, accurate hands, documentary-style authenticity, crisp commercial training-video finish. One continuous take, no cuts, no captions, no logos, no on-screen text, no interface elements." \
  width=1024 \
  height=1024 \
  duration=12 \
  inputs.audio=https://assets.runware.ai/assets/inputs/ce692887-ce17-4f11-802e-2ba01001d54d.mp3

{
  "taskType": "videoInference",
  "taskUUID": "0224cf1f-3d2b-497a-b473-3cc9942d6894",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "Create a polished 12-second talking-head training clip synchronized precisely to the supplied speech. A confident female marine pathologist in her early forties addresses the camera inside a modern oyster hatchery nursery. Chest-up square composition, centered with comfortable headroom. She wears clean sea-green waterproof overalls over a pale coral work shirt, with tied-back dark hair and no hat or face covering. Behind her, softly defocused turquoise cultivation tanks, white pipes, suspended hoses, and gentle water aeration establish a credible working shellfish facility without distracting from her face. Bright diffused daylight mixes with clean overhead industrial lighting for a fresh aqua, white, and coral palette. Her mouth movements accurately follow every word of the audio. She maintains reassuring eye contact and uses restrained, natural gestures timed to the instructions: a small downward gesture for rinsing boots, an open-hand gesture for sanitizing tools, and a subtle indication toward the tanks when mentioning logging visits. Her expression becomes slightly more earnest on the final sentence about protecting young oysters. Locked-off professional camera with a barely perceptible slow push-in, realistic facial motion, natural blinking, subtle breathing, accurate hands, documentary-style authenticity, crisp commercial training-video finish. One continuous take, no cuts, no captions, no logos, no on-screen text, no interface elements.",
  "width": 1024,
  "height": 1024,
  "duration": 12,
  "inputs": {
    "audio": "https://assets.runware.ai/assets/inputs/ce692887-ce17-4f11-802e-2ba01001d54d.mp3"
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'A cinematic Formula 1 race at golden hour on a world-class street circuit, low-slung camera tracking inches above the asphalt as sleek red and black F1 cars thunder through a tight corner, tire smoke, heat haze, sparks under the chassis, dramatic overtakes, cheering grandstands, fluttering flags, realistic reflections on polished bodywork, shallow depth of field, broadcast-grade action cinematography, intense speed, dynamic motion blur, crisp detail, realistic lighting, immersive atmosphere',
  width: 1920,
  height: 1080,
  duration: 6,
  fps: 25,
  settings: {
    audio: true
  }
})

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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "A cinematic Formula 1 race at golden hour on a world-class street circuit, low-slung camera tracking inches above the asphalt as sleek red and black F1 cars thunder through a tight corner, tire smoke, heat haze, sparks under the chassis, dramatic overtakes, cheering grandstands, fluttering flags, realistic reflections on polished bodywork, shallow depth of field, broadcast-grade action cinematography, intense speed, dynamic motion blur, crisp detail, realistic lighting, immersive atmosphere",
            "width": 1920,
            "height": 1080,
            "duration": 6,
            "fps": 25,
            "settings": {
                "audio": True
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "f92a00b4-442e-4981-9878-a8bf9bdb2554",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "A cinematic Formula 1 race at golden hour on a world-class street circuit, low-slung camera tracking inches above the asphalt as sleek red and black F1 cars thunder through a tight corner, tire smoke, heat haze, sparks under the chassis, dramatic overtakes, cheering grandstands, fluttering flags, realistic reflections on polished bodywork, shallow depth of field, broadcast-grade action cinematography, intense speed, dynamic motion blur, crisp detail, realistic lighting, immersive atmosphere",
      "width": 1920,
      "height": 1080,
      "duration": 6,
      "fps": 25,
      "settings": {
        "audio": true
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="A cinematic Formula 1 race at golden hour on a world-class street circuit, low-slung camera tracking inches above the asphalt as sleek red and black F1 cars thunder through a tight corner, tire smoke, heat haze, sparks under the chassis, dramatic overtakes, cheering grandstands, fluttering flags, realistic reflections on polished bodywork, shallow depth of field, broadcast-grade action cinematography, intense speed, dynamic motion blur, crisp detail, realistic lighting, immersive atmosphere" \
  width=1920 \
  height=1080 \
  duration=6 \
  fps=25 \
  settings.audio=true

{
  "taskType": "videoInference",
  "taskUUID": "f92a00b4-442e-4981-9878-a8bf9bdb2554",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "A cinematic Formula 1 race at golden hour on a world-class street circuit, low-slung camera tracking inches above the asphalt as sleek red and black F1 cars thunder through a tight corner, tire smoke, heat haze, sparks under the chassis, dramatic overtakes, cheering grandstands, fluttering flags, realistic reflections on polished bodywork, shallow depth of field, broadcast-grade action cinematography, intense speed, dynamic motion blur, crisp detail, realistic lighting, immersive atmosphere",
  "width": 1920,
  "height": 1080,
  "duration": 6,
  "fps": 25,
  "settings": {
    "audio": true
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'A cinematic cyberpunk alley at night during heavy rain, glossy neon reflections on wet pavement, a masked courier sprinting through drifting steam while hovering police drones sweep searchlights overhead, dynamic handheld camera movement, parallax depth, flickering holographic shop signs in magenta and cyan, puddle splashes, distant traffic glow, tense atmospheric action, realistic motion, richly detailed environment, synchronized urban chase audio with rain, footsteps, drone hum, echoing sirens, and pulsing synth tension',
  width: 1920,
  height: 1080,
  duration: 6,
  fps: 25,
  settings: {
    audio: true
  }
})

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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "A cinematic cyberpunk alley at night during heavy rain, glossy neon reflections on wet pavement, a masked courier sprinting through drifting steam while hovering police drones sweep searchlights overhead, dynamic handheld camera movement, parallax depth, flickering holographic shop signs in magenta and cyan, puddle splashes, distant traffic glow, tense atmospheric action, realistic motion, richly detailed environment, synchronized urban chase audio with rain, footsteps, drone hum, echoing sirens, and pulsing synth tension",
            "width": 1920,
            "height": 1080,
            "duration": 6,
            "fps": 25,
            "settings": {
                "audio": True
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "44dfa40f-3edc-44d7-9c16-586920b953c4",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "A cinematic cyberpunk alley at night during heavy rain, glossy neon reflections on wet pavement, a masked courier sprinting through drifting steam while hovering police drones sweep searchlights overhead, dynamic handheld camera movement, parallax depth, flickering holographic shop signs in magenta and cyan, puddle splashes, distant traffic glow, tense atmospheric action, realistic motion, richly detailed environment, synchronized urban chase audio with rain, footsteps, drone hum, echoing sirens, and pulsing synth tension",
      "width": 1920,
      "height": 1080,
      "duration": 6,
      "fps": 25,
      "settings": {
        "audio": true
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="A cinematic cyberpunk alley at night during heavy rain, glossy neon reflections on wet pavement, a masked courier sprinting through drifting steam while hovering police drones sweep searchlights overhead, dynamic handheld camera movement, parallax depth, flickering holographic shop signs in magenta and cyan, puddle splashes, distant traffic glow, tense atmospheric action, realistic motion, richly detailed environment, synchronized urban chase audio with rain, footsteps, drone hum, echoing sirens, and pulsing synth tension" \
  width=1920 \
  height=1080 \
  duration=6 \
  fps=25 \
  settings.audio=true

{
  "taskType": "videoInference",
  "taskUUID": "44dfa40f-3edc-44d7-9c16-586920b953c4",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "A cinematic cyberpunk alley at night during heavy rain, glossy neon reflections on wet pavement, a masked courier sprinting through drifting steam while hovering police drones sweep searchlights overhead, dynamic handheld camera movement, parallax depth, flickering holographic shop signs in magenta and cyan, puddle splashes, distant traffic glow, tense atmospheric action, realistic motion, richly detailed environment, synchronized urban chase audio with rain, footsteps, drone hum, echoing sirens, and pulsing synth tension",
  "width": 1920,
  "height": 1080,
  "duration": 6,
  "fps": 25,
  "settings": {
    "audio": true
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'A cinematic night-time cyberpunk alley soaked in rain, glowing neon signs in magenta and cyan reflecting on wet pavement, a sleek courier on a futuristic electric bike speeding through drifting steam, market tarps fluttering, puddles splashing, holographic billboards flickering overhead, dynamic camera tracking from low angle to side follow shot, rich atmosphere, dramatic motion blur, highly detailed environment, realistic lighting, energetic urban ambience with synchronized sound of rainfall, electric motor whine, distant sirens, buzzing signs, and tires spraying water',
  width: 1920,
  height: 1080,
  duration: 6,
  fps: 25,
  settings: {
    audio: true
  }
})

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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "A cinematic night-time cyberpunk alley soaked in rain, glowing neon signs in magenta and cyan reflecting on wet pavement, a sleek courier on a futuristic electric bike speeding through drifting steam, market tarps fluttering, puddles splashing, holographic billboards flickering overhead, dynamic camera tracking from low angle to side follow shot, rich atmosphere, dramatic motion blur, highly detailed environment, realistic lighting, energetic urban ambience with synchronized sound of rainfall, electric motor whine, distant sirens, buzzing signs, and tires spraying water",
            "width": 1920,
            "height": 1080,
            "duration": 6,
            "fps": 25,
            "settings": {
                "audio": True
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "b99dcaa0-3c5b-4a99-b8c8-92d2740c4434",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "A cinematic night-time cyberpunk alley soaked in rain, glowing neon signs in magenta and cyan reflecting on wet pavement, a sleek courier on a futuristic electric bike speeding through drifting steam, market tarps fluttering, puddles splashing, holographic billboards flickering overhead, dynamic camera tracking from low angle to side follow shot, rich atmosphere, dramatic motion blur, highly detailed environment, realistic lighting, energetic urban ambience with synchronized sound of rainfall, electric motor whine, distant sirens, buzzing signs, and tires spraying water",
      "width": 1920,
      "height": 1080,
      "duration": 6,
      "fps": 25,
      "settings": {
        "audio": true
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="A cinematic night-time cyberpunk alley soaked in rain, glowing neon signs in magenta and cyan reflecting on wet pavement, a sleek courier on a futuristic electric bike speeding through drifting steam, market tarps fluttering, puddles splashing, holographic billboards flickering overhead, dynamic camera tracking from low angle to side follow shot, rich atmosphere, dramatic motion blur, highly detailed environment, realistic lighting, energetic urban ambience with synchronized sound of rainfall, electric motor whine, distant sirens, buzzing signs, and tires spraying water" \
  width=1920 \
  height=1080 \
  duration=6 \
  fps=25 \
  settings.audio=true

{
  "taskType": "videoInference",
  "taskUUID": "b99dcaa0-3c5b-4a99-b8c8-92d2740c4434",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "A cinematic night-time cyberpunk alley soaked in rain, glowing neon signs in magenta and cyan reflecting on wet pavement, a sleek courier on a futuristic electric bike speeding through drifting steam, market tarps fluttering, puddles splashing, holographic billboards flickering overhead, dynamic camera tracking from low angle to side follow shot, rich atmosphere, dramatic motion blur, highly detailed environment, realistic lighting, energetic urban ambience with synchronized sound of rainfall, electric motor whine, distant sirens, buzzing signs, and tires spraying water",
  "width": 1920,
  "height": 1080,
  "duration": 6,
  "fps": 25,
  "settings": {
    "audio": true
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'lightricks:ltx@2.3-fast',
  positivePrompt: 'First-person cinematic POV of an elite football player sprinting down the field during a night championship match, bright stadium floodlights, roaring crowd, defenders closing in, dynamic head-mounted camera motion, realistic hands and arms pumping, turf flying up under cleats, dramatic near-collision, fast dodge, spinning past a tackle, rushing toward the end zone, broadcast-quality realism, high energy, intense sports cinematography, natural motion blur, synchronized crowd cheers, footsteps, breath, impact sounds, immersive live stadium atmosphere',
  width: 1920,
  height: 1080,
  duration: 6,
  fps: 25,
  settings: {
    audio: true
  }
})

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": "lightricks:ltx@2.3-fast",
            "positivePrompt": "First-person cinematic POV of an elite football player sprinting down the field during a night championship match, bright stadium floodlights, roaring crowd, defenders closing in, dynamic head-mounted camera motion, realistic hands and arms pumping, turf flying up under cleats, dramatic near-collision, fast dodge, spinning past a tackle, rushing toward the end zone, broadcast-quality realism, high energy, intense sports cinematography, natural motion blur, synchronized crowd cheers, footsteps, breath, impact sounds, immersive live stadium atmosphere",
            "width": 1920,
            "height": 1080,
            "duration": 6,
            "fps": 25,
            "settings": {
                "audio": True
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "videoInference",
      "taskUUID": "a8196bb5-f009-4929-b013-2bb22d3f9425",
      "model": "lightricks:ltx@2.3-fast",
      "positivePrompt": "First-person cinematic POV of an elite football player sprinting down the field during a night championship match, bright stadium floodlights, roaring crowd, defenders closing in, dynamic head-mounted camera motion, realistic hands and arms pumping, turf flying up under cleats, dramatic near-collision, fast dodge, spinning past a tackle, rushing toward the end zone, broadcast-quality realism, high energy, intense sports cinematography, natural motion blur, synchronized crowd cheers, footsteps, breath, impact sounds, immersive live stadium atmosphere",
      "width": 1920,
      "height": 1080,
      "duration": 6,
      "fps": 25,
      "settings": {
        "audio": true
      }
    }
  ]'

runware run lightricks:ltx@2.3-fast \
  positivePrompt="First-person cinematic POV of an elite football player sprinting down the field during a night championship match, bright stadium floodlights, roaring crowd, defenders closing in, dynamic head-mounted camera motion, realistic hands and arms pumping, turf flying up under cleats, dramatic near-collision, fast dodge, spinning past a tackle, rushing toward the end zone, broadcast-quality realism, high energy, intense sports cinematography, natural motion blur, synchronized crowd cheers, footsteps, breath, impact sounds, immersive live stadium atmosphere" \
  width=1920 \
  height=1080 \
  duration=6 \
  fps=25 \
  settings.audio=true

{
  "taskType": "videoInference",
  "taskUUID": "a8196bb5-f009-4929-b013-2bb22d3f9425",
  "model": "lightricks:ltx@2.3-fast",
  "positivePrompt": "First-person cinematic POV of an elite football player sprinting down the field during a night championship match, bright stadium floodlights, roaring crowd, defenders closing in, dynamic head-mounted camera motion, realistic hands and arms pumping, turf flying up under cleats, dramatic near-collision, fast dodge, spinning past a tackle, rushing toward the end zone, broadcast-quality realism, high energy, intense sports cinematography, natural motion blur, synchronized crowd cheers, footsteps, breath, impact sounds, immersive live stadium atmosphere",
  "width": 1920,
  "height": 1080,
  "duration": 6,
  "fps": 25,
  "settings": {
    "audio": true
  }
}