Seedream 4.0

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'Create a premium ultrawide environmental executive portrait of Dr. Mina Park, a Korean American aerospace acoustic engineer in her early 50s, photographed inside a full-scale anechoic testing chamber. She has a composed, quietly confident expression, intelligent direct eye contact, natural shoulder-length black hair with subtle silver strands, and realistic age detail. Dress her in a sharply tailored graphite blazer over a muted mineral-blue blouse, understated silver stud earrings, no visible logos. Frame her chest-up on the right third of the 3024x1296 composition, shoulders angled slightly toward camera, face and eyes unmistakably the focal point. The chamber’s repeating charcoal acoustic wedges recede across the left side in strong geometric perspective, creating sophisticated negative space suitable for a corporate website masthead without adding any text. Include restrained evidence of her field in the background: a suspended precision microphone array, a small section of matte aircraft fuselage test panel, fine measurement cables, all credible and secondary. Cinematic but authentic commercial photography: a large soft key light from camera left shaping the face, gentle cool fill, narrow warm rim light separating her dark blazer from the acoustic foam, subtle cyan instrument indicators deep in the room. Palette of graphite, slate blue, soft skin tones, and restrained amber highlights. Crisp eyes, lifelike skin texture and pores, natural makeup, accurate hands only if visible, polished yet approachable demeanor. Shallow-to-moderate depth of field with the nearest chamber wedges softly resolving into texture; clean tonal separation, controlled highlights, rich blacks without crushed detail. Shot with medium-format editorial clarity and an 85mm portrait character, realistic optical falloff, no exaggerated wide-angle distortion. A single finished professional photograph, refined aerospace-industry art direction, calm, precise, modern, credible, no lettering, no watermark, no interface, no collage.',
  width: 3024,
  height: 1296
})

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": "bytedance:5@0",
            "positivePrompt": "Create a premium ultrawide environmental executive portrait of Dr. Mina Park, a Korean American aerospace acoustic engineer in her early 50s, photographed inside a full-scale anechoic testing chamber. She has a composed, quietly confident expression, intelligent direct eye contact, natural shoulder-length black hair with subtle silver strands, and realistic age detail. Dress her in a sharply tailored graphite blazer over a muted mineral-blue blouse, understated silver stud earrings, no visible logos. Frame her chest-up on the right third of the 3024x1296 composition, shoulders angled slightly toward camera, face and eyes unmistakably the focal point. The chamber’s repeating charcoal acoustic wedges recede across the left side in strong geometric perspective, creating sophisticated negative space suitable for a corporate website masthead without adding any text. Include restrained evidence of her field in the background: a suspended precision microphone array, a small section of matte aircraft fuselage test panel, fine measurement cables, all credible and secondary. Cinematic but authentic commercial photography: a large soft key light from camera left shaping the face, gentle cool fill, narrow warm rim light separating her dark blazer from the acoustic foam, subtle cyan instrument indicators deep in the room. Palette of graphite, slate blue, soft skin tones, and restrained amber highlights. Crisp eyes, lifelike skin texture and pores, natural makeup, accurate hands only if visible, polished yet approachable demeanor. Shallow-to-moderate depth of field with the nearest chamber wedges softly resolving into texture; clean tonal separation, controlled highlights, rich blacks without crushed detail. Shot with medium-format editorial clarity and an 85mm portrait character, realistic optical falloff, no exaggerated wide-angle distortion. A single finished professional photograph, refined aerospace-industry art direction, calm, precise, modern, credible, no lettering, no watermark, no interface, no collage.",
            "width": 3024,
            "height": 1296
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "e98d767c-0d5a-4efd-bbea-91ac5bbba5d3",
      "model": "bytedance:5@0",
      "positivePrompt": "Create a premium ultrawide environmental executive portrait of Dr. Mina Park, a Korean American aerospace acoustic engineer in her early 50s, photographed inside a full-scale anechoic testing chamber. She has a composed, quietly confident expression, intelligent direct eye contact, natural shoulder-length black hair with subtle silver strands, and realistic age detail. Dress her in a sharply tailored graphite blazer over a muted mineral-blue blouse, understated silver stud earrings, no visible logos. Frame her chest-up on the right third of the 3024x1296 composition, shoulders angled slightly toward camera, face and eyes unmistakably the focal point. The chamber’s repeating charcoal acoustic wedges recede across the left side in strong geometric perspective, creating sophisticated negative space suitable for a corporate website masthead without adding any text. Include restrained evidence of her field in the background: a suspended precision microphone array, a small section of matte aircraft fuselage test panel, fine measurement cables, all credible and secondary. Cinematic but authentic commercial photography: a large soft key light from camera left shaping the face, gentle cool fill, narrow warm rim light separating her dark blazer from the acoustic foam, subtle cyan instrument indicators deep in the room. Palette of graphite, slate blue, soft skin tones, and restrained amber highlights. Crisp eyes, lifelike skin texture and pores, natural makeup, accurate hands only if visible, polished yet approachable demeanor. Shallow-to-moderate depth of field with the nearest chamber wedges softly resolving into texture; clean tonal separation, controlled highlights, rich blacks without crushed detail. Shot with medium-format editorial clarity and an 85mm portrait character, realistic optical falloff, no exaggerated wide-angle distortion. A single finished professional photograph, refined aerospace-industry art direction, calm, precise, modern, credible, no lettering, no watermark, no interface, no collage.",
      "width": 3024,
      "height": 1296
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="Create a premium ultrawide environmental executive portrait of Dr. Mina Park, a Korean American aerospace acoustic engineer in her early 50s, photographed inside a full-scale anechoic testing chamber. She has a composed, quietly confident expression, intelligent direct eye contact, natural shoulder-length black hair with subtle silver strands, and realistic age detail. Dress her in a sharply tailored graphite blazer over a muted mineral-blue blouse, understated silver stud earrings, no visible logos. Frame her chest-up on the right third of the 3024x1296 composition, shoulders angled slightly toward camera, face and eyes unmistakably the focal point. The chamber’s repeating charcoal acoustic wedges recede across the left side in strong geometric perspective, creating sophisticated negative space suitable for a corporate website masthead without adding any text. Include restrained evidence of her field in the background: a suspended precision microphone array, a small section of matte aircraft fuselage test panel, fine measurement cables, all credible and secondary. Cinematic but authentic commercial photography: a large soft key light from camera left shaping the face, gentle cool fill, narrow warm rim light separating her dark blazer from the acoustic foam, subtle cyan instrument indicators deep in the room. Palette of graphite, slate blue, soft skin tones, and restrained amber highlights. Crisp eyes, lifelike skin texture and pores, natural makeup, accurate hands only if visible, polished yet approachable demeanor. Shallow-to-moderate depth of field with the nearest chamber wedges softly resolving into texture; clean tonal separation, controlled highlights, rich blacks without crushed detail. Shot with medium-format editorial clarity and an 85mm portrait character, realistic optical falloff, no exaggerated wide-angle distortion. A single finished professional photograph, refined aerospace-industry art direction, calm, precise, modern, credible, no lettering, no watermark, no interface, no collage." \
  width=3024 \
  height=1296

{
  "taskType": "imageInference",
  "taskUUID": "e98d767c-0d5a-4efd-bbea-91ac5bbba5d3",
  "model": "bytedance:5@0",
  "positivePrompt": "Create a premium ultrawide environmental executive portrait of Dr. Mina Park, a Korean American aerospace acoustic engineer in her early 50s, photographed inside a full-scale anechoic testing chamber. She has a composed, quietly confident expression, intelligent direct eye contact, natural shoulder-length black hair with subtle silver strands, and realistic age detail. Dress her in a sharply tailored graphite blazer over a muted mineral-blue blouse, understated silver stud earrings, no visible logos. Frame her chest-up on the right third of the 3024x1296 composition, shoulders angled slightly toward camera, face and eyes unmistakably the focal point. The chamber’s repeating charcoal acoustic wedges recede across the left side in strong geometric perspective, creating sophisticated negative space suitable for a corporate website masthead without adding any text. Include restrained evidence of her field in the background: a suspended precision microphone array, a small section of matte aircraft fuselage test panel, fine measurement cables, all credible and secondary. Cinematic but authentic commercial photography: a large soft key light from camera left shaping the face, gentle cool fill, narrow warm rim light separating her dark blazer from the acoustic foam, subtle cyan instrument indicators deep in the room. Palette of graphite, slate blue, soft skin tones, and restrained amber highlights. Crisp eyes, lifelike skin texture and pores, natural makeup, accurate hands only if visible, polished yet approachable demeanor. Shallow-to-moderate depth of field with the nearest chamber wedges softly resolving into texture; clean tonal separation, controlled highlights, rich blacks without crushed detail. Shot with medium-format editorial clarity and an 85mm portrait character, realistic optical falloff, no exaggerated wide-angle distortion. A single finished professional photograph, refined aerospace-industry art direction, calm, precise, modern, credible, no lettering, no watermark, no interface, no collage.",
  "width": 3024,
  "height": 1296
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'Create a finished portrait-format print-on-demand wall artwork translating coastal wetland restoration into contemporary fiber art. Use reference image 1 strictly for the composition: retain its recognizable top-down branching tidal-creek structure, the placement of the main channel, fine tributaries, islands, and negative spaces, while simplifying minor photographic detail into elegant organic shapes. Use reference image 2 strictly for the material language and palette: draw from its faded indigo, slate blue, unbleached linen, irregular sashiko stitching, layered cotton patches, frayed edges, and subtle age variation; do not copy its original patch layout. Render the marsh landforms as hand-cut indigo fabric fields and the waterways as exposed warm linen, with delicate stitched contour lines following the flow of the channels. Add restrained raised seams and visible fibers for convincing tactile depth. Refined Japanese mending aesthetic interpreted through contemporary environmental design, calm and meditative, asymmetrical but balanced, crisp enough for large-format printing. Flat frontal artwork, edge-to-edge composition with a narrow natural-linen border, no frame, no room mockup, no typography, no labels, no map symbols, no people, no buildings.',
  width: 1728,
  height: 2304,
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/9be247dc-cad8-4473-8dc3-1774c7602a59.jpg',
      'https://assets.runware.ai/assets/inputs/b74b5e7b-5e4b-4ef8-9db3-5423df5d5b01.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": "bytedance:5@0",
            "positivePrompt": "Create a finished portrait-format print-on-demand wall artwork translating coastal wetland restoration into contemporary fiber art. Use reference image 1 strictly for the composition: retain its recognizable top-down branching tidal-creek structure, the placement of the main channel, fine tributaries, islands, and negative spaces, while simplifying minor photographic detail into elegant organic shapes. Use reference image 2 strictly for the material language and palette: draw from its faded indigo, slate blue, unbleached linen, irregular sashiko stitching, layered cotton patches, frayed edges, and subtle age variation; do not copy its original patch layout. Render the marsh landforms as hand-cut indigo fabric fields and the waterways as exposed warm linen, with delicate stitched contour lines following the flow of the channels. Add restrained raised seams and visible fibers for convincing tactile depth. Refined Japanese mending aesthetic interpreted through contemporary environmental design, calm and meditative, asymmetrical but balanced, crisp enough for large-format printing. Flat frontal artwork, edge-to-edge composition with a narrow natural-linen border, no frame, no room mockup, no typography, no labels, no map symbols, no people, no buildings.",
            "width": 1728,
            "height": 2304,
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/9be247dc-cad8-4473-8dc3-1774c7602a59.jpg",
                    "https://assets.runware.ai/assets/inputs/b74b5e7b-5e4b-4ef8-9db3-5423df5d5b01.jpg"
                ]
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "a82ce7c0-e7fe-42a0-a0e6-c5b9f4094901",
      "model": "bytedance:5@0",
      "positivePrompt": "Create a finished portrait-format print-on-demand wall artwork translating coastal wetland restoration into contemporary fiber art. Use reference image 1 strictly for the composition: retain its recognizable top-down branching tidal-creek structure, the placement of the main channel, fine tributaries, islands, and negative spaces, while simplifying minor photographic detail into elegant organic shapes. Use reference image 2 strictly for the material language and palette: draw from its faded indigo, slate blue, unbleached linen, irregular sashiko stitching, layered cotton patches, frayed edges, and subtle age variation; do not copy its original patch layout. Render the marsh landforms as hand-cut indigo fabric fields and the waterways as exposed warm linen, with delicate stitched contour lines following the flow of the channels. Add restrained raised seams and visible fibers for convincing tactile depth. Refined Japanese mending aesthetic interpreted through contemporary environmental design, calm and meditative, asymmetrical but balanced, crisp enough for large-format printing. Flat frontal artwork, edge-to-edge composition with a narrow natural-linen border, no frame, no room mockup, no typography, no labels, no map symbols, no people, no buildings.",
      "width": 1728,
      "height": 2304,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/9be247dc-cad8-4473-8dc3-1774c7602a59.jpg",
          "https://assets.runware.ai/assets/inputs/b74b5e7b-5e4b-4ef8-9db3-5423df5d5b01.jpg"
        ]
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="Create a finished portrait-format print-on-demand wall artwork translating coastal wetland restoration into contemporary fiber art. Use reference image 1 strictly for the composition: retain its recognizable top-down branching tidal-creek structure, the placement of the main channel, fine tributaries, islands, and negative spaces, while simplifying minor photographic detail into elegant organic shapes. Use reference image 2 strictly for the material language and palette: draw from its faded indigo, slate blue, unbleached linen, irregular sashiko stitching, layered cotton patches, frayed edges, and subtle age variation; do not copy its original patch layout. Render the marsh landforms as hand-cut indigo fabric fields and the waterways as exposed warm linen, with delicate stitched contour lines following the flow of the channels. Add restrained raised seams and visible fibers for convincing tactile depth. Refined Japanese mending aesthetic interpreted through contemporary environmental design, calm and meditative, asymmetrical but balanced, crisp enough for large-format printing. Flat frontal artwork, edge-to-edge composition with a narrow natural-linen border, no frame, no room mockup, no typography, no labels, no map symbols, no people, no buildings." \
  width=1728 \
  height=2304 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/9be247dc-cad8-4473-8dc3-1774c7602a59.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/b74b5e7b-5e4b-4ef8-9db3-5423df5d5b01.jpg

{
  "taskType": "imageInference",
  "taskUUID": "a82ce7c0-e7fe-42a0-a0e6-c5b9f4094901",
  "model": "bytedance:5@0",
  "positivePrompt": "Create a finished portrait-format print-on-demand wall artwork translating coastal wetland restoration into contemporary fiber art. Use reference image 1 strictly for the composition: retain its recognizable top-down branching tidal-creek structure, the placement of the main channel, fine tributaries, islands, and negative spaces, while simplifying minor photographic detail into elegant organic shapes. Use reference image 2 strictly for the material language and palette: draw from its faded indigo, slate blue, unbleached linen, irregular sashiko stitching, layered cotton patches, frayed edges, and subtle age variation; do not copy its original patch layout. Render the marsh landforms as hand-cut indigo fabric fields and the waterways as exposed warm linen, with delicate stitched contour lines following the flow of the channels. Add restrained raised seams and visible fibers for convincing tactile depth. Refined Japanese mending aesthetic interpreted through contemporary environmental design, calm and meditative, asymmetrical but balanced, crisp enough for large-format printing. Flat frontal artwork, edge-to-edge composition with a narrow natural-linen border, no frame, no room mockup, no typography, no labels, no map symbols, no people, no buildings.",
  "width": 1728,
  "height": 2304,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/9be247dc-cad8-4473-8dc3-1774c7602a59.jpg",
      "https://assets.runware.ai/assets/inputs/b74b5e7b-5e4b-4ef8-9db3-5423df5d5b01.jpg"
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'A grand open-air banquet suspended beneath a vast canopy of hanging glass beehives in the crowns of ancient sycamore trees, hundreds of tiny amber reflections scattered across polished wooden tables, guests in flowing embroidered garments dining among floating pollen-like dust motes, trained honeybees carrying miniature ribbons between crystal decanters, elaborate plated desserts shaped like wildflowers and hexagons, brass serving carts on narrow elevated walkways, distant rolling farmland beyond the treetops, golden late-afternoon light, cinematic depth, ultra-detailed textures, transparent glass, warm honey tones, whimsical realism, elegant composition, richly layered scene, 4k detail',
  width: 2496,
  height: 1664,
  seed: 14889,
  providerSettings: {
    bytedance: {
      maxSequentialImages: 1
    }
  }
})

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": "bytedance:5@0",
            "positivePrompt": "A grand open-air banquet suspended beneath a vast canopy of hanging glass beehives in the crowns of ancient sycamore trees, hundreds of tiny amber reflections scattered across polished wooden tables, guests in flowing embroidered garments dining among floating pollen-like dust motes, trained honeybees carrying miniature ribbons between crystal decanters, elaborate plated desserts shaped like wildflowers and hexagons, brass serving carts on narrow elevated walkways, distant rolling farmland beyond the treetops, golden late-afternoon light, cinematic depth, ultra-detailed textures, transparent glass, warm honey tones, whimsical realism, elegant composition, richly layered scene, 4k detail",
            "width": 2496,
            "height": 1664,
            "seed": 14889,
            "providerSettings": {
                "bytedance": {
                    "maxSequentialImages": 1
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "f9b9414a-9ebb-4f93-9bb9-d4b16d312a36",
      "model": "bytedance:5@0",
      "positivePrompt": "A grand open-air banquet suspended beneath a vast canopy of hanging glass beehives in the crowns of ancient sycamore trees, hundreds of tiny amber reflections scattered across polished wooden tables, guests in flowing embroidered garments dining among floating pollen-like dust motes, trained honeybees carrying miniature ribbons between crystal decanters, elaborate plated desserts shaped like wildflowers and hexagons, brass serving carts on narrow elevated walkways, distant rolling farmland beyond the treetops, golden late-afternoon light, cinematic depth, ultra-detailed textures, transparent glass, warm honey tones, whimsical realism, elegant composition, richly layered scene, 4k detail",
      "width": 2496,
      "height": 1664,
      "seed": 14889,
      "providerSettings": {
        "bytedance": {
          "maxSequentialImages": 1
        }
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="A grand open-air banquet suspended beneath a vast canopy of hanging glass beehives in the crowns of ancient sycamore trees, hundreds of tiny amber reflections scattered across polished wooden tables, guests in flowing embroidered garments dining among floating pollen-like dust motes, trained honeybees carrying miniature ribbons between crystal decanters, elaborate plated desserts shaped like wildflowers and hexagons, brass serving carts on narrow elevated walkways, distant rolling farmland beyond the treetops, golden late-afternoon light, cinematic depth, ultra-detailed textures, transparent glass, warm honey tones, whimsical realism, elegant composition, richly layered scene, 4k detail" \
  width=2496 \
  height=1664 \
  seed=14889 \
  providerSettings.bytedance.maxSequentialImages=1

{
  "taskType": "imageInference",
  "taskUUID": "f9b9414a-9ebb-4f93-9bb9-d4b16d312a36",
  "model": "bytedance:5@0",
  "positivePrompt": "A grand open-air banquet suspended beneath a vast canopy of hanging glass beehives in the crowns of ancient sycamore trees, hundreds of tiny amber reflections scattered across polished wooden tables, guests in flowing embroidered garments dining among floating pollen-like dust motes, trained honeybees carrying miniature ribbons between crystal decanters, elaborate plated desserts shaped like wildflowers and hexagons, brass serving carts on narrow elevated walkways, distant rolling farmland beyond the treetops, golden late-afternoon light, cinematic depth, ultra-detailed textures, transparent glass, warm honey tones, whimsical realism, elegant composition, richly layered scene, 4k detail",
  "width": 2496,
  "height": 1664,
  "seed": 14889,
  "providerSettings": {
    "bytedance": {
      "maxSequentialImages": 1
    }
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'Create a coherent sequence of six separate landscape video-thumbnail images for a premium engineering documentary about an emergency transoceanic fiber-optic cable repair. Use the supplied reference image as the strict visual anchor: preserve the exact yellow work-class ROV, its proportions, black protective frame, twin manipulator arms, lamps and recognizable equipment in every image. Show a clear chronological progression, one scene per output: 1) the ROV descending beneath a cable-repair ship into dark open water, 2) searching above a rugged abyssal plain with scanning lights, 3) discovering the severed black cable half-buried in sediment, 4) carefully lifting and cleaning the cable with its manipulators, 5) installing a cylindrical pressure-rated splice housing, 6) hovering above the secured repaired cable as its lights recede into the blue. Each output must be a single finished thumbnail, never a collage, contact sheet, split screen or storyboard panel. Cinematic factual realism, plausible subsea engineering, immense ocean scale, cold midnight-blue and cyan palette punctuated by the ROV\'s safety yellow and a few warm work lights, suspended marine particles, volumetric beams, crisp machinery, rich blacks, controlled highlights. Strong foreground subject and immediate visual hierarchy at small thumbnail size. Use varied camera angles while maintaining continuity: wide descent, overhead search, low seabed reveal, intimate manipulator close-up, heroic three-quarter repair view, quiet concluding wide shot. Keep a clean area of dark water in the upper-right third for optional editorial titling, but include no words, logos, interface elements, borders or watermarks.',
  width: 2304,
  height: 1728,
  providerSettings: {
    bytedance: {
      maxSequentialImages: 4
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/29509b4b-bf73-4d3c-a1dc-27e61ea20200.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": "bytedance:5@0",
            "positivePrompt": "Create a coherent sequence of six separate landscape video-thumbnail images for a premium engineering documentary about an emergency transoceanic fiber-optic cable repair. Use the supplied reference image as the strict visual anchor: preserve the exact yellow work-class ROV, its proportions, black protective frame, twin manipulator arms, lamps and recognizable equipment in every image. Show a clear chronological progression, one scene per output: 1) the ROV descending beneath a cable-repair ship into dark open water, 2) searching above a rugged abyssal plain with scanning lights, 3) discovering the severed black cable half-buried in sediment, 4) carefully lifting and cleaning the cable with its manipulators, 5) installing a cylindrical pressure-rated splice housing, 6) hovering above the secured repaired cable as its lights recede into the blue. Each output must be a single finished thumbnail, never a collage, contact sheet, split screen or storyboard panel. Cinematic factual realism, plausible subsea engineering, immense ocean scale, cold midnight-blue and cyan palette punctuated by the ROV's safety yellow and a few warm work lights, suspended marine particles, volumetric beams, crisp machinery, rich blacks, controlled highlights. Strong foreground subject and immediate visual hierarchy at small thumbnail size. Use varied camera angles while maintaining continuity: wide descent, overhead search, low seabed reveal, intimate manipulator close-up, heroic three-quarter repair view, quiet concluding wide shot. Keep a clean area of dark water in the upper-right third for optional editorial titling, but include no words, logos, interface elements, borders or watermarks.",
            "width": 2304,
            "height": 1728,
            "providerSettings": {
                "bytedance": {
                    "maxSequentialImages": 4
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/29509b4b-bf73-4d3c-a1dc-27e61ea20200.jpg"
                ]
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "04f73ba8-5688-45b8-bc6d-de1dcb79dc36",
      "model": "bytedance:5@0",
      "positivePrompt": "Create a coherent sequence of six separate landscape video-thumbnail images for a premium engineering documentary about an emergency transoceanic fiber-optic cable repair. Use the supplied reference image as the strict visual anchor: preserve the exact yellow work-class ROV, its proportions, black protective frame, twin manipulator arms, lamps and recognizable equipment in every image. Show a clear chronological progression, one scene per output: 1) the ROV descending beneath a cable-repair ship into dark open water, 2) searching above a rugged abyssal plain with scanning lights, 3) discovering the severed black cable half-buried in sediment, 4) carefully lifting and cleaning the cable with its manipulators, 5) installing a cylindrical pressure-rated splice housing, 6) hovering above the secured repaired cable as its lights recede into the blue. Each output must be a single finished thumbnail, never a collage, contact sheet, split screen or storyboard panel. Cinematic factual realism, plausible subsea engineering, immense ocean scale, cold midnight-blue and cyan palette punctuated by the ROV's safety yellow and a few warm work lights, suspended marine particles, volumetric beams, crisp machinery, rich blacks, controlled highlights. Strong foreground subject and immediate visual hierarchy at small thumbnail size. Use varied camera angles while maintaining continuity: wide descent, overhead search, low seabed reveal, intimate manipulator close-up, heroic three-quarter repair view, quiet concluding wide shot. Keep a clean area of dark water in the upper-right third for optional editorial titling, but include no words, logos, interface elements, borders or watermarks.",
      "width": 2304,
      "height": 1728,
      "providerSettings": {
        "bytedance": {
          "maxSequentialImages": 4
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/29509b4b-bf73-4d3c-a1dc-27e61ea20200.jpg"
        ]
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="Create a coherent sequence of six separate landscape video-thumbnail images for a premium engineering documentary about an emergency transoceanic fiber-optic cable repair. Use the supplied reference image as the strict visual anchor: preserve the exact yellow work-class ROV, its proportions, black protective frame, twin manipulator arms, lamps and recognizable equipment in every image. Show a clear chronological progression, one scene per output: 1) the ROV descending beneath a cable-repair ship into dark open water, 2) searching above a rugged abyssal plain with scanning lights, 3) discovering the severed black cable half-buried in sediment, 4) carefully lifting and cleaning the cable with its manipulators, 5) installing a cylindrical pressure-rated splice housing, 6) hovering above the secured repaired cable as its lights recede into the blue. Each output must be a single finished thumbnail, never a collage, contact sheet, split screen or storyboard panel. Cinematic factual realism, plausible subsea engineering, immense ocean scale, cold midnight-blue and cyan palette punctuated by the ROV's safety yellow and a few warm work lights, suspended marine particles, volumetric beams, crisp machinery, rich blacks, controlled highlights. Strong foreground subject and immediate visual hierarchy at small thumbnail size. Use varied camera angles while maintaining continuity: wide descent, overhead search, low seabed reveal, intimate manipulator close-up, heroic three-quarter repair view, quiet concluding wide shot. Keep a clean area of dark water in the upper-right third for optional editorial titling, but include no words, logos, interface elements, borders or watermarks." \
  width=2304 \
  height=1728 \
  providerSettings.bytedance.maxSequentialImages=4 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/29509b4b-bf73-4d3c-a1dc-27e61ea20200.jpg

{
  "taskType": "imageInference",
  "taskUUID": "04f73ba8-5688-45b8-bc6d-de1dcb79dc36",
  "model": "bytedance:5@0",
  "positivePrompt": "Create a coherent sequence of six separate landscape video-thumbnail images for a premium engineering documentary about an emergency transoceanic fiber-optic cable repair. Use the supplied reference image as the strict visual anchor: preserve the exact yellow work-class ROV, its proportions, black protective frame, twin manipulator arms, lamps and recognizable equipment in every image. Show a clear chronological progression, one scene per output: 1) the ROV descending beneath a cable-repair ship into dark open water, 2) searching above a rugged abyssal plain with scanning lights, 3) discovering the severed black cable half-buried in sediment, 4) carefully lifting and cleaning the cable with its manipulators, 5) installing a cylindrical pressure-rated splice housing, 6) hovering above the secured repaired cable as its lights recede into the blue. Each output must be a single finished thumbnail, never a collage, contact sheet, split screen or storyboard panel. Cinematic factual realism, plausible subsea engineering, immense ocean scale, cold midnight-blue and cyan palette punctuated by the ROV's safety yellow and a few warm work lights, suspended marine particles, volumetric beams, crisp machinery, rich blacks, controlled highlights. Strong foreground subject and immediate visual hierarchy at small thumbnail size. Use varied camera angles while maintaining continuity: wide descent, overhead search, low seabed reveal, intimate manipulator close-up, heroic three-quarter repair view, quiet concluding wide shot. Keep a clean area of dark water in the upper-right third for optional editorial titling, but include no words, logos, interface elements, borders or watermarks.",
  "width": 2304,
  "height": 1728,
  "providerSettings": {
    "bytedance": {
      "maxSequentialImages": 4
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/29509b4b-bf73-4d3c-a1dc-27e61ea20200.jpg"
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'Using the reference images as visual guidance, create a majestic winter conservatory salon transformed into an opulent chamber music venue, with towering glass walls, frosted panes, citrus trees in ornate planters, marble flooring, and elaborate gold filigree details inspired by antique musical mechanisms. At the center, a poised soprano in an ivory-and-gold opera gown stands beside a harp-like instrument with decorative mechanical embellishments. Warm candlelight and pale daylight mingle across reflective surfaces, producing crisp luxurious textures, cinematic depth, refined composition, highly detailed fabric, ornamental metalwork, and realistic spatial coherence. No text, no watermark, no crowd.',
  width: 2304,
  height: 1728,
  seed: 20086,
  providerSettings: {
    bytedance: {
      maxSequentialImages: 1
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/79b06d11-b5b5-4f30-95cf-cdd985b0e927.jpg',
      'https://assets.runware.ai/assets/inputs/bafba2c6-7881-42f1-ab6d-7e5e714cf025.jpg',
      'https://assets.runware.ai/assets/inputs/ef49174a-f06b-4563-ba3b-b222c3855f86.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": "bytedance:5@0",
            "positivePrompt": "Using the reference images as visual guidance, create a majestic winter conservatory salon transformed into an opulent chamber music venue, with towering glass walls, frosted panes, citrus trees in ornate planters, marble flooring, and elaborate gold filigree details inspired by antique musical mechanisms. At the center, a poised soprano in an ivory-and-gold opera gown stands beside a harp-like instrument with decorative mechanical embellishments. Warm candlelight and pale daylight mingle across reflective surfaces, producing crisp luxurious textures, cinematic depth, refined composition, highly detailed fabric, ornamental metalwork, and realistic spatial coherence. No text, no watermark, no crowd.",
            "width": 2304,
            "height": 1728,
            "seed": 20086,
            "providerSettings": {
                "bytedance": {
                    "maxSequentialImages": 1
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/79b06d11-b5b5-4f30-95cf-cdd985b0e927.jpg",
                    "https://assets.runware.ai/assets/inputs/bafba2c6-7881-42f1-ab6d-7e5e714cf025.jpg",
                    "https://assets.runware.ai/assets/inputs/ef49174a-f06b-4563-ba3b-b222c3855f86.jpg"
                ]
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "c9b3cbaf-cb72-4015-9f57-18d8e8737a77",
      "model": "bytedance:5@0",
      "positivePrompt": "Using the reference images as visual guidance, create a majestic winter conservatory salon transformed into an opulent chamber music venue, with towering glass walls, frosted panes, citrus trees in ornate planters, marble flooring, and elaborate gold filigree details inspired by antique musical mechanisms. At the center, a poised soprano in an ivory-and-gold opera gown stands beside a harp-like instrument with decorative mechanical embellishments. Warm candlelight and pale daylight mingle across reflective surfaces, producing crisp luxurious textures, cinematic depth, refined composition, highly detailed fabric, ornamental metalwork, and realistic spatial coherence. No text, no watermark, no crowd.",
      "width": 2304,
      "height": 1728,
      "seed": 20086,
      "providerSettings": {
        "bytedance": {
          "maxSequentialImages": 1
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/79b06d11-b5b5-4f30-95cf-cdd985b0e927.jpg",
          "https://assets.runware.ai/assets/inputs/bafba2c6-7881-42f1-ab6d-7e5e714cf025.jpg",
          "https://assets.runware.ai/assets/inputs/ef49174a-f06b-4563-ba3b-b222c3855f86.jpg"
        ]
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="Using the reference images as visual guidance, create a majestic winter conservatory salon transformed into an opulent chamber music venue, with towering glass walls, frosted panes, citrus trees in ornate planters, marble flooring, and elaborate gold filigree details inspired by antique musical mechanisms. At the center, a poised soprano in an ivory-and-gold opera gown stands beside a harp-like instrument with decorative mechanical embellishments. Warm candlelight and pale daylight mingle across reflective surfaces, producing crisp luxurious textures, cinematic depth, refined composition, highly detailed fabric, ornamental metalwork, and realistic spatial coherence. No text, no watermark, no crowd." \
  width=2304 \
  height=1728 \
  seed=20086 \
  providerSettings.bytedance.maxSequentialImages=1 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/79b06d11-b5b5-4f30-95cf-cdd985b0e927.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/bafba2c6-7881-42f1-ab6d-7e5e714cf025.jpg \
  inputs.referenceImages.2=https://assets.runware.ai/assets/inputs/ef49174a-f06b-4563-ba3b-b222c3855f86.jpg

{
  "taskType": "imageInference",
  "taskUUID": "c9b3cbaf-cb72-4015-9f57-18d8e8737a77",
  "model": "bytedance:5@0",
  "positivePrompt": "Using the reference images as visual guidance, create a majestic winter conservatory salon transformed into an opulent chamber music venue, with towering glass walls, frosted panes, citrus trees in ornate planters, marble flooring, and elaborate gold filigree details inspired by antique musical mechanisms. At the center, a poised soprano in an ivory-and-gold opera gown stands beside a harp-like instrument with decorative mechanical embellishments. Warm candlelight and pale daylight mingle across reflective surfaces, producing crisp luxurious textures, cinematic depth, refined composition, highly detailed fabric, ornamental metalwork, and realistic spatial coherence. No text, no watermark, no crowd.",
  "width": 2304,
  "height": 1728,
  "seed": 20086,
  "providerSettings": {
    "bytedance": {
      "maxSequentialImages": 1
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/79b06d11-b5b5-4f30-95cf-cdd985b0e927.jpg",
      "https://assets.runware.ai/assets/inputs/bafba2c6-7881-42f1-ab6d-7e5e714cf025.jpg",
      "https://assets.runware.ai/assets/inputs/ef49174a-f06b-4563-ba3b-b222c3855f86.jpg"
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'Create a coherent sequence of landscape concept-art images for a real tactical firefighting game set in a remote Scottish peat bog. Use the reference image as the exact visual anchor. Preserve the same Mire Tender vehicle in every output: low cream-colored cab, vermilion safety panels, broad rubber tracks, articulated water cannon, rear hose reels, amber hazard lights, mud and soot wear. Preserve the same operator: a middle-aged woman in dark green waterproof overalls and a white rescue helmet. Maintain identical proportions, equipment placement, costume, facial identity, and art direction throughout.\n\nAcross the sequential outputs, show a clear operational progression: the Mire Tender first scouting through cold rain and shallow floodwater; discovering thin blue smoke escaping from cracks in black peat; deploying heat probes and long hoses while the operator surveys the ground; confronting an advancing orange fire line beneath violent wind; pumping water into a cut trench as steam engulfs the tracks; and finally resting at dawn beside a contained, smoking burn scar with new rain falling. Each output should depict one distinct moment rather than a collage, storyboard sheet, or split panel.\n\nArt direction: premium indie strategy-game concept art, bold hand-painted gouache with restrained screen-print grain, simplified angular silhouettes, crisp vehicle design, expressive weather, and believable peatland ecology. Palette dominated by charcoal gray, wet black peat, muted moss green, cold blue rain, cream paint, and vivid vermilion-orange emergency accents. Cinematic wide compositions with strong depth layers, low horizons, distant wind-bent grasses, drainage channels, and sparse utility poles. Keep the mood tense, practical, and grounded rather than fantastical. Clearly readable gameplay spaces and hazards, realistic firefighting procedures, no monsters, no futuristic weapons, no lettering, no logos, no interface, no borders.',
  width: 2304,
  height: 1728,
  providerSettings: {
    bytedance: {
      maxSequentialImages: 4
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/3eefc13f-b8dc-4731-bf8f-b04c77a7a814.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": "bytedance:5@0",
            "positivePrompt": "Create a coherent sequence of landscape concept-art images for a real tactical firefighting game set in a remote Scottish peat bog. Use the reference image as the exact visual anchor. Preserve the same Mire Tender vehicle in every output: low cream-colored cab, vermilion safety panels, broad rubber tracks, articulated water cannon, rear hose reels, amber hazard lights, mud and soot wear. Preserve the same operator: a middle-aged woman in dark green waterproof overalls and a white rescue helmet. Maintain identical proportions, equipment placement, costume, facial identity, and art direction throughout.\n\nAcross the sequential outputs, show a clear operational progression: the Mire Tender first scouting through cold rain and shallow floodwater; discovering thin blue smoke escaping from cracks in black peat; deploying heat probes and long hoses while the operator surveys the ground; confronting an advancing orange fire line beneath violent wind; pumping water into a cut trench as steam engulfs the tracks; and finally resting at dawn beside a contained, smoking burn scar with new rain falling. Each output should depict one distinct moment rather than a collage, storyboard sheet, or split panel.\n\nArt direction: premium indie strategy-game concept art, bold hand-painted gouache with restrained screen-print grain, simplified angular silhouettes, crisp vehicle design, expressive weather, and believable peatland ecology. Palette dominated by charcoal gray, wet black peat, muted moss green, cold blue rain, cream paint, and vivid vermilion-orange emergency accents. Cinematic wide compositions with strong depth layers, low horizons, distant wind-bent grasses, drainage channels, and sparse utility poles. Keep the mood tense, practical, and grounded rather than fantastical. Clearly readable gameplay spaces and hazards, realistic firefighting procedures, no monsters, no futuristic weapons, no lettering, no logos, no interface, no borders.",
            "width": 2304,
            "height": 1728,
            "providerSettings": {
                "bytedance": {
                    "maxSequentialImages": 4
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/3eefc13f-b8dc-4731-bf8f-b04c77a7a814.jpg"
                ]
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "244f56df-ed24-458b-9876-4efd3a64f7d4",
      "model": "bytedance:5@0",
      "positivePrompt": "Create a coherent sequence of landscape concept-art images for a real tactical firefighting game set in a remote Scottish peat bog. Use the reference image as the exact visual anchor. Preserve the same Mire Tender vehicle in every output: low cream-colored cab, vermilion safety panels, broad rubber tracks, articulated water cannon, rear hose reels, amber hazard lights, mud and soot wear. Preserve the same operator: a middle-aged woman in dark green waterproof overalls and a white rescue helmet. Maintain identical proportions, equipment placement, costume, facial identity, and art direction throughout.\n\nAcross the sequential outputs, show a clear operational progression: the Mire Tender first scouting through cold rain and shallow floodwater; discovering thin blue smoke escaping from cracks in black peat; deploying heat probes and long hoses while the operator surveys the ground; confronting an advancing orange fire line beneath violent wind; pumping water into a cut trench as steam engulfs the tracks; and finally resting at dawn beside a contained, smoking burn scar with new rain falling. Each output should depict one distinct moment rather than a collage, storyboard sheet, or split panel.\n\nArt direction: premium indie strategy-game concept art, bold hand-painted gouache with restrained screen-print grain, simplified angular silhouettes, crisp vehicle design, expressive weather, and believable peatland ecology. Palette dominated by charcoal gray, wet black peat, muted moss green, cold blue rain, cream paint, and vivid vermilion-orange emergency accents. Cinematic wide compositions with strong depth layers, low horizons, distant wind-bent grasses, drainage channels, and sparse utility poles. Keep the mood tense, practical, and grounded rather than fantastical. Clearly readable gameplay spaces and hazards, realistic firefighting procedures, no monsters, no futuristic weapons, no lettering, no logos, no interface, no borders.",
      "width": 2304,
      "height": 1728,
      "providerSettings": {
        "bytedance": {
          "maxSequentialImages": 4
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/3eefc13f-b8dc-4731-bf8f-b04c77a7a814.jpg"
        ]
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="Create a coherent sequence of landscape concept-art images for a real tactical firefighting game set in a remote Scottish peat bog. Use the reference image as the exact visual anchor. Preserve the same Mire Tender vehicle in every output: low cream-colored cab, vermilion safety panels, broad rubber tracks, articulated water cannon, rear hose reels, amber hazard lights, mud and soot wear. Preserve the same operator: a middle-aged woman in dark green waterproof overalls and a white rescue helmet. Maintain identical proportions, equipment placement, costume, facial identity, and art direction throughout.

Across the sequential outputs, show a clear operational progression: the Mire Tender first scouting through cold rain and shallow floodwater; discovering thin blue smoke escaping from cracks in black peat; deploying heat probes and long hoses while the operator surveys the ground; confronting an advancing orange fire line beneath violent wind; pumping water into a cut trench as steam engulfs the tracks; and finally resting at dawn beside a contained, smoking burn scar with new rain falling. Each output should depict one distinct moment rather than a collage, storyboard sheet, or split panel.

Art direction: premium indie strategy-game concept art, bold hand-painted gouache with restrained screen-print grain, simplified angular silhouettes, crisp vehicle design, expressive weather, and believable peatland ecology. Palette dominated by charcoal gray, wet black peat, muted moss green, cold blue rain, cream paint, and vivid vermilion-orange emergency accents. Cinematic wide compositions with strong depth layers, low horizons, distant wind-bent grasses, drainage channels, and sparse utility poles. Keep the mood tense, practical, and grounded rather than fantastical. Clearly readable gameplay spaces and hazards, realistic firefighting procedures, no monsters, no futuristic weapons, no lettering, no logos, no interface, no borders." \
  width=2304 \
  height=1728 \
  providerSettings.bytedance.maxSequentialImages=4 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/3eefc13f-b8dc-4731-bf8f-b04c77a7a814.jpg

{
  "taskType": "imageInference",
  "taskUUID": "244f56df-ed24-458b-9876-4efd3a64f7d4",
  "model": "bytedance:5@0",
  "positivePrompt": "Create a coherent sequence of landscape concept-art images for a real tactical firefighting game set in a remote Scottish peat bog. Use the reference image as the exact visual anchor. Preserve the same Mire Tender vehicle in every output: low cream-colored cab, vermilion safety panels, broad rubber tracks, articulated water cannon, rear hose reels, amber hazard lights, mud and soot wear. Preserve the same operator: a middle-aged woman in dark green waterproof overalls and a white rescue helmet. Maintain identical proportions, equipment placement, costume, facial identity, and art direction throughout.\n\nAcross the sequential outputs, show a clear operational progression: the Mire Tender first scouting through cold rain and shallow floodwater; discovering thin blue smoke escaping from cracks in black peat; deploying heat probes and long hoses while the operator surveys the ground; confronting an advancing orange fire line beneath violent wind; pumping water into a cut trench as steam engulfs the tracks; and finally resting at dawn beside a contained, smoking burn scar with new rain falling. Each output should depict one distinct moment rather than a collage, storyboard sheet, or split panel.\n\nArt direction: premium indie strategy-game concept art, bold hand-painted gouache with restrained screen-print grain, simplified angular silhouettes, crisp vehicle design, expressive weather, and believable peatland ecology. Palette dominated by charcoal gray, wet black peat, muted moss green, cold blue rain, cream paint, and vivid vermilion-orange emergency accents. Cinematic wide compositions with strong depth layers, low horizons, distant wind-bent grasses, drainage channels, and sparse utility poles. Keep the mood tense, practical, and grounded rather than fantastical. Clearly readable gameplay spaces and hazards, realistic firefighting procedures, no monsters, no futuristic weapons, no lettering, no logos, no interface, no borders.",
  "width": 2304,
  "height": 1728,
  "providerSettings": {
    "bytedance": {
      "maxSequentialImages": 4
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/3eefc13f-b8dc-4731-bf8f-b04c77a7a814.jpg"
    ]
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'A whimsical old-world bakery built into the side of a giant porcelain dragon statue, its glazed white scales cracked with age and threaded with tiny flowering vines. Warm oven light glows through curved display windows filled with elaborate pastries shaped like swans, pears, seashells, and miniature castles. A cobbled canal lane passes in front, with delivery bicycles, striped awnings, hanging copper pans, drifting flour dust, and a hand-painted sign in both English and Chinese calligraphy. Townspeople in layered spring clothing gather with baskets and paper-wrapped loaves, while a child watches sugared sparrows perched along the dragon\'s jaw. Highly detailed ceramic textures, brushed signage, golden morning atmosphere, cinematic depth, storybook realism, crisp focus, lively yet elegant composition, premium 2K image quality.',
  width: 2304,
  height: 1728,
  seed: 5417,
  providerSettings: {
    bytedance: {
      maxSequentialImages: 1
    }
  }
})

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": "bytedance:5@0",
            "positivePrompt": "A whimsical old-world bakery built into the side of a giant porcelain dragon statue, its glazed white scales cracked with age and threaded with tiny flowering vines. Warm oven light glows through curved display windows filled with elaborate pastries shaped like swans, pears, seashells, and miniature castles. A cobbled canal lane passes in front, with delivery bicycles, striped awnings, hanging copper pans, drifting flour dust, and a hand-painted sign in both English and Chinese calligraphy. Townspeople in layered spring clothing gather with baskets and paper-wrapped loaves, while a child watches sugared sparrows perched along the dragon's jaw. Highly detailed ceramic textures, brushed signage, golden morning atmosphere, cinematic depth, storybook realism, crisp focus, lively yet elegant composition, premium 2K image quality.",
            "width": 2304,
            "height": 1728,
            "seed": 5417,
            "providerSettings": {
                "bytedance": {
                    "maxSequentialImages": 1
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "d0e27e41-af62-43be-926c-8211a3a92adb",
      "model": "bytedance:5@0",
      "positivePrompt": "A whimsical old-world bakery built into the side of a giant porcelain dragon statue, its glazed white scales cracked with age and threaded with tiny flowering vines. Warm oven light glows through curved display windows filled with elaborate pastries shaped like swans, pears, seashells, and miniature castles. A cobbled canal lane passes in front, with delivery bicycles, striped awnings, hanging copper pans, drifting flour dust, and a hand-painted sign in both English and Chinese calligraphy. Townspeople in layered spring clothing gather with baskets and paper-wrapped loaves, while a child watches sugared sparrows perched along the dragon's jaw. Highly detailed ceramic textures, brushed signage, golden morning atmosphere, cinematic depth, storybook realism, crisp focus, lively yet elegant composition, premium 2K image quality.",
      "width": 2304,
      "height": 1728,
      "seed": 5417,
      "providerSettings": {
        "bytedance": {
          "maxSequentialImages": 1
        }
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="A whimsical old-world bakery built into the side of a giant porcelain dragon statue, its glazed white scales cracked with age and threaded with tiny flowering vines. Warm oven light glows through curved display windows filled with elaborate pastries shaped like swans, pears, seashells, and miniature castles. A cobbled canal lane passes in front, with delivery bicycles, striped awnings, hanging copper pans, drifting flour dust, and a hand-painted sign in both English and Chinese calligraphy. Townspeople in layered spring clothing gather with baskets and paper-wrapped loaves, while a child watches sugared sparrows perched along the dragon's jaw. Highly detailed ceramic textures, brushed signage, golden morning atmosphere, cinematic depth, storybook realism, crisp focus, lively yet elegant composition, premium 2K image quality." \
  width=2304 \
  height=1728 \
  seed=5417 \
  providerSettings.bytedance.maxSequentialImages=1

{
  "taskType": "imageInference",
  "taskUUID": "d0e27e41-af62-43be-926c-8211a3a92adb",
  "model": "bytedance:5@0",
  "positivePrompt": "A whimsical old-world bakery built into the side of a giant porcelain dragon statue, its glazed white scales cracked with age and threaded with tiny flowering vines. Warm oven light glows through curved display windows filled with elaborate pastries shaped like swans, pears, seashells, and miniature castles. A cobbled canal lane passes in front, with delivery bicycles, striped awnings, hanging copper pans, drifting flour dust, and a hand-painted sign in both English and Chinese calligraphy. Townspeople in layered spring clothing gather with baskets and paper-wrapped loaves, while a child watches sugared sparrows perched along the dragon's jaw. Highly detailed ceramic textures, brushed signage, golden morning atmosphere, cinematic depth, storybook realism, crisp focus, lively yet elegant composition, premium 2K image quality.",
  "width": 2304,
  "height": 1728,
  "seed": 5417,
  "providerSettings": {
    "bytedance": {
      "maxSequentialImages": 1
    }
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'bytedance:5@0',
  positivePrompt: 'Using the reference images as visual guidance, create an opulent wandering circus encampment at first light: a grand painted caravan with carved wood panels and velvet drapery parked among striped tents on a meadow of wildflowers, a majestic white tiger adorned with jeweled harness details resting beside stacked trunks, acrobatic ribbons fluttering from poles, brass instruments glinting on a folding table, faint campfire smoke, dew on the grass, storybook realism, intricate textures, elegant color harmony, sweeping depth, highly detailed 4k illustration aesthetic',
  width: 2304,
  height: 1728,
  seed: 15467,
  providerSettings: {
    bytedance: {
      maxSequentialImages: 1
    }
  },
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/56479b8a-765e-4350-96b3-346fa826cbf6.jpg',
      'https://assets.runware.ai/assets/inputs/6b0e98e7-2da0-438f-b168-1c1ba20132d4.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": "bytedance:5@0",
            "positivePrompt": "Using the reference images as visual guidance, create an opulent wandering circus encampment at first light: a grand painted caravan with carved wood panels and velvet drapery parked among striped tents on a meadow of wildflowers, a majestic white tiger adorned with jeweled harness details resting beside stacked trunks, acrobatic ribbons fluttering from poles, brass instruments glinting on a folding table, faint campfire smoke, dew on the grass, storybook realism, intricate textures, elegant color harmony, sweeping depth, highly detailed 4k illustration aesthetic",
            "width": 2304,
            "height": 1728,
            "seed": 15467,
            "providerSettings": {
                "bytedance": {
                    "maxSequentialImages": 1
                }
            },
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/56479b8a-765e-4350-96b3-346fa826cbf6.jpg",
                    "https://assets.runware.ai/assets/inputs/6b0e98e7-2da0-438f-b168-1c1ba20132d4.jpg"
                ]
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "2eca900b-015a-461d-94d9-b42305f46cde",
      "model": "bytedance:5@0",
      "positivePrompt": "Using the reference images as visual guidance, create an opulent wandering circus encampment at first light: a grand painted caravan with carved wood panels and velvet drapery parked among striped tents on a meadow of wildflowers, a majestic white tiger adorned with jeweled harness details resting beside stacked trunks, acrobatic ribbons fluttering from poles, brass instruments glinting on a folding table, faint campfire smoke, dew on the grass, storybook realism, intricate textures, elegant color harmony, sweeping depth, highly detailed 4k illustration aesthetic",
      "width": 2304,
      "height": 1728,
      "seed": 15467,
      "providerSettings": {
        "bytedance": {
          "maxSequentialImages": 1
        }
      },
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/56479b8a-765e-4350-96b3-346fa826cbf6.jpg",
          "https://assets.runware.ai/assets/inputs/6b0e98e7-2da0-438f-b168-1c1ba20132d4.jpg"
        ]
      }
    }
  ]'

runware run bytedance:5@0 \
  positivePrompt="Using the reference images as visual guidance, create an opulent wandering circus encampment at first light: a grand painted caravan with carved wood panels and velvet drapery parked among striped tents on a meadow of wildflowers, a majestic white tiger adorned with jeweled harness details resting beside stacked trunks, acrobatic ribbons fluttering from poles, brass instruments glinting on a folding table, faint campfire smoke, dew on the grass, storybook realism, intricate textures, elegant color harmony, sweeping depth, highly detailed 4k illustration aesthetic" \
  width=2304 \
  height=1728 \
  seed=15467 \
  providerSettings.bytedance.maxSequentialImages=1 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/56479b8a-765e-4350-96b3-346fa826cbf6.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/6b0e98e7-2da0-438f-b168-1c1ba20132d4.jpg

{
  "taskType": "imageInference",
  "taskUUID": "2eca900b-015a-461d-94d9-b42305f46cde",
  "model": "bytedance:5@0",
  "positivePrompt": "Using the reference images as visual guidance, create an opulent wandering circus encampment at first light: a grand painted caravan with carved wood panels and velvet drapery parked among striped tents on a meadow of wildflowers, a majestic white tiger adorned with jeweled harness details resting beside stacked trunks, acrobatic ribbons fluttering from poles, brass instruments glinting on a folding table, faint campfire smoke, dew on the grass, storybook realism, intricate textures, elegant color harmony, sweeping depth, highly detailed 4k illustration aesthetic",
  "width": 2304,
  "height": 1728,
  "seed": 15467,
  "providerSettings": {
    "bytedance": {
      "maxSequentialImages": 1
    }
  },
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/56479b8a-765e-4350-96b3-346fa826cbf6.jpg",
      "https://assets.runware.ai/assets/inputs/6b0e98e7-2da0-438f-b168-1c1ba20132d4.jpg"
    ]
  }
}