GPT Image 2

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'openai:gpt-image@2',
  positivePrompt: 'Create a premium landscape tourism campaign photograph promoting guided wadlopen, or mudflat hiking, in the Dutch Wadden Sea. At low tide, a small group of six adult travelers follows an experienced local guide across vast rippled tidal flats toward a distant Frisian island. Show them mid-stride in practical outdoor clothing and knee-high boots, carrying compact daypacks; the guide leads with a tall red safety pennant. Shallow channels mirror the sky around their boots, with tiny shells, wet sand textures, and scattered seabirds visible in the foreground. Far behind them, include a low green dike, a small white lighthouse, and two traditional flat-bottomed sailboats resting on the exposed sand. A dramatic North Sea rain squall clears from left to right, opening onto warm late-afternoon sunlight that illuminates the hikers and turns the reflective flats silver and pale gold. Wide, low viewpoint emphasizing the immense horizon, layered clouds, human scale, and exhilarating sense of reaching a remote island on foot. High-end editorial travel photography, natural skin tones, crisp environmental detail, subtle film grain, restrained palette of slate blue, sea green, sand, cream, and one vivid red accent. Authentic, windswept, adventurous, calm rather than extreme. Compose as a polished standalone tourism hero image with visual interest across the full landscape frame. No text, logos, borders, collage, illustration, or interface elements.',
  width: 1536,
  height: 1024
})

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": "openai:gpt-image@2",
            "positivePrompt": "Create a premium landscape tourism campaign photograph promoting guided wadlopen, or mudflat hiking, in the Dutch Wadden Sea. At low tide, a small group of six adult travelers follows an experienced local guide across vast rippled tidal flats toward a distant Frisian island. Show them mid-stride in practical outdoor clothing and knee-high boots, carrying compact daypacks; the guide leads with a tall red safety pennant. Shallow channels mirror the sky around their boots, with tiny shells, wet sand textures, and scattered seabirds visible in the foreground. Far behind them, include a low green dike, a small white lighthouse, and two traditional flat-bottomed sailboats resting on the exposed sand. A dramatic North Sea rain squall clears from left to right, opening onto warm late-afternoon sunlight that illuminates the hikers and turns the reflective flats silver and pale gold. Wide, low viewpoint emphasizing the immense horizon, layered clouds, human scale, and exhilarating sense of reaching a remote island on foot. High-end editorial travel photography, natural skin tones, crisp environmental detail, subtle film grain, restrained palette of slate blue, sea green, sand, cream, and one vivid red accent. Authentic, windswept, adventurous, calm rather than extreme. Compose as a polished standalone tourism hero image with visual interest across the full landscape frame. No text, logos, borders, collage, illustration, or interface elements.",
            "width": 1536,
            "height": 1024
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "c2b7425b-ad4c-46d0-9625-6adbc4f8d1de",
      "model": "openai:gpt-image@2",
      "positivePrompt": "Create a premium landscape tourism campaign photograph promoting guided wadlopen, or mudflat hiking, in the Dutch Wadden Sea. At low tide, a small group of six adult travelers follows an experienced local guide across vast rippled tidal flats toward a distant Frisian island. Show them mid-stride in practical outdoor clothing and knee-high boots, carrying compact daypacks; the guide leads with a tall red safety pennant. Shallow channels mirror the sky around their boots, with tiny shells, wet sand textures, and scattered seabirds visible in the foreground. Far behind them, include a low green dike, a small white lighthouse, and two traditional flat-bottomed sailboats resting on the exposed sand. A dramatic North Sea rain squall clears from left to right, opening onto warm late-afternoon sunlight that illuminates the hikers and turns the reflective flats silver and pale gold. Wide, low viewpoint emphasizing the immense horizon, layered clouds, human scale, and exhilarating sense of reaching a remote island on foot. High-end editorial travel photography, natural skin tones, crisp environmental detail, subtle film grain, restrained palette of slate blue, sea green, sand, cream, and one vivid red accent. Authentic, windswept, adventurous, calm rather than extreme. Compose as a polished standalone tourism hero image with visual interest across the full landscape frame. No text, logos, borders, collage, illustration, or interface elements.",
      "width": 1536,
      "height": 1024
    }
  ]'

runware run openai:gpt-image@2 \
  positivePrompt="Create a premium landscape tourism campaign photograph promoting guided wadlopen, or mudflat hiking, in the Dutch Wadden Sea. At low tide, a small group of six adult travelers follows an experienced local guide across vast rippled tidal flats toward a distant Frisian island. Show them mid-stride in practical outdoor clothing and knee-high boots, carrying compact daypacks; the guide leads with a tall red safety pennant. Shallow channels mirror the sky around their boots, with tiny shells, wet sand textures, and scattered seabirds visible in the foreground. Far behind them, include a low green dike, a small white lighthouse, and two traditional flat-bottomed sailboats resting on the exposed sand. A dramatic North Sea rain squall clears from left to right, opening onto warm late-afternoon sunlight that illuminates the hikers and turns the reflective flats silver and pale gold. Wide, low viewpoint emphasizing the immense horizon, layered clouds, human scale, and exhilarating sense of reaching a remote island on foot. High-end editorial travel photography, natural skin tones, crisp environmental detail, subtle film grain, restrained palette of slate blue, sea green, sand, cream, and one vivid red accent. Authentic, windswept, adventurous, calm rather than extreme. Compose as a polished standalone tourism hero image with visual interest across the full landscape frame. No text, logos, borders, collage, illustration, or interface elements." \
  width=1536 \
  height=1024

{
  "taskType": "imageInference",
  "taskUUID": "c2b7425b-ad4c-46d0-9625-6adbc4f8d1de",
  "model": "openai:gpt-image@2",
  "positivePrompt": "Create a premium landscape tourism campaign photograph promoting guided wadlopen, or mudflat hiking, in the Dutch Wadden Sea. At low tide, a small group of six adult travelers follows an experienced local guide across vast rippled tidal flats toward a distant Frisian island. Show them mid-stride in practical outdoor clothing and knee-high boots, carrying compact daypacks; the guide leads with a tall red safety pennant. Shallow channels mirror the sky around their boots, with tiny shells, wet sand textures, and scattered seabirds visible in the foreground. Far behind them, include a low green dike, a small white lighthouse, and two traditional flat-bottomed sailboats resting on the exposed sand. A dramatic North Sea rain squall clears from left to right, opening onto warm late-afternoon sunlight that illuminates the hikers and turns the reflective flats silver and pale gold. Wide, low viewpoint emphasizing the immense horizon, layered clouds, human scale, and exhilarating sense of reaching a remote island on foot. High-end editorial travel photography, natural skin tones, crisp environmental detail, subtle film grain, restrained palette of slate blue, sea green, sand, cream, and one vivid red accent. Authentic, windswept, adventurous, calm rather than extreme. Compose as a polished standalone tourism hero image with visual interest across the full landscape frame. No text, logos, borders, collage, illustration, or interface elements.",
  "width": 1536,
  "height": 1024
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'openai:gpt-image@2',
  positivePrompt: 'Create finished vertical 2:3 key art for a premium narrative strategy game titled “BLACKSTART.” Meaningfully combine both reference images: preserve the recognizable face, cropped hair, orange-and-charcoal insulated workwear, harness and practical equipment of the technician from reference image 1, and preserve the distinctive stepped spillway towers, monumental concrete geometry, switchyard and steep snowy valley from reference image 2. Show the technician in a heroic but grounded three-quarter back view on an icy maintenance gantry, turning her face toward the viewer while looking over the powerless dam complex. She holds a rugged field terminal displaying only abstract grid lines, with no readable interface text. Below her, one section of the switchyard has just re-energized: a chain of warm amber maintenance lights cuts through the deep cobalt blackout while distant transmission pylons disappear into blowing snow. Convey infrastructure expertise, isolation, urgency and cautious hope rather than combat.\n\nArt direction: sophisticated hand-painted game key art combining realist environmental concept painting with bold mid-century industrial poster shapes; crisp architectural silhouettes, restrained brush texture, cinematic atmospheric depth, subtle screenprint grain. Palette dominated by midnight cobalt, storm gray and snow white, with safety orange on the character and a narrow amber electrical glow. Strong triangular composition leading from the foreground technician to the dam and then the mountain pass. Dramatic rim light, wind-driven snow, visible scale, believable engineering details. Reserve the upper fifth as dark storm sky and place the exact title BLACKSTART there in large condensed uppercase off-white lettering, clean and highly legible, with generous tracking. No subtitle, logos, badges, credits or other words. Standalone game cover artwork, edge-to-edge image, not a box mockup, screenshot or user interface.',
  width: 1024,
  height: 1536,
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/6d46cb0b-3aed-45f6-982d-4ddd3b2576b2.jpg',
      'https://assets.runware.ai/assets/inputs/85639017-4246-4761-99ab-6ed09e02b254.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": "openai:gpt-image@2",
            "positivePrompt": "Create finished vertical 2:3 key art for a premium narrative strategy game titled “BLACKSTART.” Meaningfully combine both reference images: preserve the recognizable face, cropped hair, orange-and-charcoal insulated workwear, harness and practical equipment of the technician from reference image 1, and preserve the distinctive stepped spillway towers, monumental concrete geometry, switchyard and steep snowy valley from reference image 2. Show the technician in a heroic but grounded three-quarter back view on an icy maintenance gantry, turning her face toward the viewer while looking over the powerless dam complex. She holds a rugged field terminal displaying only abstract grid lines, with no readable interface text. Below her, one section of the switchyard has just re-energized: a chain of warm amber maintenance lights cuts through the deep cobalt blackout while distant transmission pylons disappear into blowing snow. Convey infrastructure expertise, isolation, urgency and cautious hope rather than combat.\n\nArt direction: sophisticated hand-painted game key art combining realist environmental concept painting with bold mid-century industrial poster shapes; crisp architectural silhouettes, restrained brush texture, cinematic atmospheric depth, subtle screenprint grain. Palette dominated by midnight cobalt, storm gray and snow white, with safety orange on the character and a narrow amber electrical glow. Strong triangular composition leading from the foreground technician to the dam and then the mountain pass. Dramatic rim light, wind-driven snow, visible scale, believable engineering details. Reserve the upper fifth as dark storm sky and place the exact title BLACKSTART there in large condensed uppercase off-white lettering, clean and highly legible, with generous tracking. No subtitle, logos, badges, credits or other words. Standalone game cover artwork, edge-to-edge image, not a box mockup, screenshot or user interface.",
            "width": 1024,
            "height": 1536,
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/6d46cb0b-3aed-45f6-982d-4ddd3b2576b2.jpg",
                    "https://assets.runware.ai/assets/inputs/85639017-4246-4761-99ab-6ed09e02b254.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": "b1dd713b-35b5-430a-a70c-56e8a14d5508",
      "model": "openai:gpt-image@2",
      "positivePrompt": "Create finished vertical 2:3 key art for a premium narrative strategy game titled “BLACKSTART.” Meaningfully combine both reference images: preserve the recognizable face, cropped hair, orange-and-charcoal insulated workwear, harness and practical equipment of the technician from reference image 1, and preserve the distinctive stepped spillway towers, monumental concrete geometry, switchyard and steep snowy valley from reference image 2. Show the technician in a heroic but grounded three-quarter back view on an icy maintenance gantry, turning her face toward the viewer while looking over the powerless dam complex. She holds a rugged field terminal displaying only abstract grid lines, with no readable interface text. Below her, one section of the switchyard has just re-energized: a chain of warm amber maintenance lights cuts through the deep cobalt blackout while distant transmission pylons disappear into blowing snow. Convey infrastructure expertise, isolation, urgency and cautious hope rather than combat.\n\nArt direction: sophisticated hand-painted game key art combining realist environmental concept painting with bold mid-century industrial poster shapes; crisp architectural silhouettes, restrained brush texture, cinematic atmospheric depth, subtle screenprint grain. Palette dominated by midnight cobalt, storm gray and snow white, with safety orange on the character and a narrow amber electrical glow. Strong triangular composition leading from the foreground technician to the dam and then the mountain pass. Dramatic rim light, wind-driven snow, visible scale, believable engineering details. Reserve the upper fifth as dark storm sky and place the exact title BLACKSTART there in large condensed uppercase off-white lettering, clean and highly legible, with generous tracking. No subtitle, logos, badges, credits or other words. Standalone game cover artwork, edge-to-edge image, not a box mockup, screenshot or user interface.",
      "width": 1024,
      "height": 1536,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/6d46cb0b-3aed-45f6-982d-4ddd3b2576b2.jpg",
          "https://assets.runware.ai/assets/inputs/85639017-4246-4761-99ab-6ed09e02b254.jpg"
        ]
      }
    }
  ]'

runware run openai:gpt-image@2 \
  positivePrompt="Create finished vertical 2:3 key art for a premium narrative strategy game titled “BLACKSTART.” Meaningfully combine both reference images: preserve the recognizable face, cropped hair, orange-and-charcoal insulated workwear, harness and practical equipment of the technician from reference image 1, and preserve the distinctive stepped spillway towers, monumental concrete geometry, switchyard and steep snowy valley from reference image 2. Show the technician in a heroic but grounded three-quarter back view on an icy maintenance gantry, turning her face toward the viewer while looking over the powerless dam complex. She holds a rugged field terminal displaying only abstract grid lines, with no readable interface text. Below her, one section of the switchyard has just re-energized: a chain of warm amber maintenance lights cuts through the deep cobalt blackout while distant transmission pylons disappear into blowing snow. Convey infrastructure expertise, isolation, urgency and cautious hope rather than combat.

Art direction: sophisticated hand-painted game key art combining realist environmental concept painting with bold mid-century industrial poster shapes; crisp architectural silhouettes, restrained brush texture, cinematic atmospheric depth, subtle screenprint grain. Palette dominated by midnight cobalt, storm gray and snow white, with safety orange on the character and a narrow amber electrical glow. Strong triangular composition leading from the foreground technician to the dam and then the mountain pass. Dramatic rim light, wind-driven snow, visible scale, believable engineering details. Reserve the upper fifth as dark storm sky and place the exact title BLACKSTART there in large condensed uppercase off-white lettering, clean and highly legible, with generous tracking. No subtitle, logos, badges, credits or other words. Standalone game cover artwork, edge-to-edge image, not a box mockup, screenshot or user interface." \
  width=1024 \
  height=1536 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/6d46cb0b-3aed-45f6-982d-4ddd3b2576b2.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/85639017-4246-4761-99ab-6ed09e02b254.jpg

{
  "taskType": "imageInference",
  "taskUUID": "b1dd713b-35b5-430a-a70c-56e8a14d5508",
  "model": "openai:gpt-image@2",
  "positivePrompt": "Create finished vertical 2:3 key art for a premium narrative strategy game titled “BLACKSTART.” Meaningfully combine both reference images: preserve the recognizable face, cropped hair, orange-and-charcoal insulated workwear, harness and practical equipment of the technician from reference image 1, and preserve the distinctive stepped spillway towers, monumental concrete geometry, switchyard and steep snowy valley from reference image 2. Show the technician in a heroic but grounded three-quarter back view on an icy maintenance gantry, turning her face toward the viewer while looking over the powerless dam complex. She holds a rugged field terminal displaying only abstract grid lines, with no readable interface text. Below her, one section of the switchyard has just re-energized: a chain of warm amber maintenance lights cuts through the deep cobalt blackout while distant transmission pylons disappear into blowing snow. Convey infrastructure expertise, isolation, urgency and cautious hope rather than combat.\n\nArt direction: sophisticated hand-painted game key art combining realist environmental concept painting with bold mid-century industrial poster shapes; crisp architectural silhouettes, restrained brush texture, cinematic atmospheric depth, subtle screenprint grain. Palette dominated by midnight cobalt, storm gray and snow white, with safety orange on the character and a narrow amber electrical glow. Strong triangular composition leading from the foreground technician to the dam and then the mountain pass. Dramatic rim light, wind-driven snow, visible scale, believable engineering details. Reserve the upper fifth as dark storm sky and place the exact title BLACKSTART there in large condensed uppercase off-white lettering, clean and highly legible, with generous tracking. No subtitle, logos, badges, credits or other words. Standalone game cover artwork, edge-to-edge image, not a box mockup, screenshot or user interface.",
  "width": 1024,
  "height": 1536,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/6d46cb0b-3aed-45f6-982d-4ddd3b2576b2.jpg",
      "https://assets.runware.ai/assets/inputs/85639017-4246-4761-99ab-6ed09e02b254.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: 'openai:gpt-image@2',
  positivePrompt: 'Create a finished photorealistic architectural lighting visualization using the reference photograph as the base. The mask covers the complete water tower: remove the original unlit tower and replace it with the same tower reconstructed at exactly the same scale, position, geometry, camera perspective, and silhouette. Relight the replacement tower as a refined municipal nighttime landmark: warm amber grazing light rising from discreet ground fixtures across the concrete support legs, a restrained soft golden glow beneath the tank, and a narrow cool-white rim light defining the circular crown. Keep the lighting plausible, elegant, and compliant with dark-sky design, with realistic falloff, subtle concrete texture, and no clipped highlights. Preserve the surrounding cobalt sky, gravel foreground, horizon, framing, and all unmasked areas exactly as photographed. Do not add people, vehicles, landscaping, fixtures in view, signage, logos, lettering, or extra structures.',
  width: 1024,
  height: 1024,
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/4ced95cc-465a-4bf8-a2a8-2a2bba411c7f.jpg'
    ],
    maskImage: 'https://assets.runware.ai/assets/inputs/eb692d7e-45fe-4e0f-b306-22d821cf7d06.png'
  }
})

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": "openai:gpt-image@2",
            "positivePrompt": "Create a finished photorealistic architectural lighting visualization using the reference photograph as the base. The mask covers the complete water tower: remove the original unlit tower and replace it with the same tower reconstructed at exactly the same scale, position, geometry, camera perspective, and silhouette. Relight the replacement tower as a refined municipal nighttime landmark: warm amber grazing light rising from discreet ground fixtures across the concrete support legs, a restrained soft golden glow beneath the tank, and a narrow cool-white rim light defining the circular crown. Keep the lighting plausible, elegant, and compliant with dark-sky design, with realistic falloff, subtle concrete texture, and no clipped highlights. Preserve the surrounding cobalt sky, gravel foreground, horizon, framing, and all unmasked areas exactly as photographed. Do not add people, vehicles, landscaping, fixtures in view, signage, logos, lettering, or extra structures.",
            "width": 1024,
            "height": 1024,
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/4ced95cc-465a-4bf8-a2a8-2a2bba411c7f.jpg"
                ],
                "maskImage": "https://assets.runware.ai/assets/inputs/eb692d7e-45fe-4e0f-b306-22d821cf7d06.png"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "e5c7da02-5a6a-4b07-a11d-815a4828a4d2",
      "model": "openai:gpt-image@2",
      "positivePrompt": "Create a finished photorealistic architectural lighting visualization using the reference photograph as the base. The mask covers the complete water tower: remove the original unlit tower and replace it with the same tower reconstructed at exactly the same scale, position, geometry, camera perspective, and silhouette. Relight the replacement tower as a refined municipal nighttime landmark: warm amber grazing light rising from discreet ground fixtures across the concrete support legs, a restrained soft golden glow beneath the tank, and a narrow cool-white rim light defining the circular crown. Keep the lighting plausible, elegant, and compliant with dark-sky design, with realistic falloff, subtle concrete texture, and no clipped highlights. Preserve the surrounding cobalt sky, gravel foreground, horizon, framing, and all unmasked areas exactly as photographed. Do not add people, vehicles, landscaping, fixtures in view, signage, logos, lettering, or extra structures.",
      "width": 1024,
      "height": 1024,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/4ced95cc-465a-4bf8-a2a8-2a2bba411c7f.jpg"
        ],
        "maskImage": "https://assets.runware.ai/assets/inputs/eb692d7e-45fe-4e0f-b306-22d821cf7d06.png"
      }
    }
  ]'

runware run openai:gpt-image@2 \
  positivePrompt="Create a finished photorealistic architectural lighting visualization using the reference photograph as the base. The mask covers the complete water tower: remove the original unlit tower and replace it with the same tower reconstructed at exactly the same scale, position, geometry, camera perspective, and silhouette. Relight the replacement tower as a refined municipal nighttime landmark: warm amber grazing light rising from discreet ground fixtures across the concrete support legs, a restrained soft golden glow beneath the tank, and a narrow cool-white rim light defining the circular crown. Keep the lighting plausible, elegant, and compliant with dark-sky design, with realistic falloff, subtle concrete texture, and no clipped highlights. Preserve the surrounding cobalt sky, gravel foreground, horizon, framing, and all unmasked areas exactly as photographed. Do not add people, vehicles, landscaping, fixtures in view, signage, logos, lettering, or extra structures." \
  width=1024 \
  height=1024 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/4ced95cc-465a-4bf8-a2a8-2a2bba411c7f.jpg \
  inputs.maskImage=https://assets.runware.ai/assets/inputs/eb692d7e-45fe-4e0f-b306-22d821cf7d06.png

{
  "taskType": "imageInference",
  "taskUUID": "e5c7da02-5a6a-4b07-a11d-815a4828a4d2",
  "model": "openai:gpt-image@2",
  "positivePrompt": "Create a finished photorealistic architectural lighting visualization using the reference photograph as the base. The mask covers the complete water tower: remove the original unlit tower and replace it with the same tower reconstructed at exactly the same scale, position, geometry, camera perspective, and silhouette. Relight the replacement tower as a refined municipal nighttime landmark: warm amber grazing light rising from discreet ground fixtures across the concrete support legs, a restrained soft golden glow beneath the tank, and a narrow cool-white rim light defining the circular crown. Keep the lighting plausible, elegant, and compliant with dark-sky design, with realistic falloff, subtle concrete texture, and no clipped highlights. Preserve the surrounding cobalt sky, gravel foreground, horizon, framing, and all unmasked areas exactly as photographed. Do not add people, vehicles, landscaping, fixtures in view, signage, logos, lettering, or extra structures.",
  "width": 1024,
  "height": 1024,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/4ced95cc-465a-4bf8-a2a8-2a2bba411c7f.jpg"
    ],
    "maskImage": "https://assets.runware.ai/assets/inputs/eb692d7e-45fe-4e0f-b306-22d821cf7d06.png"
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  referenceImages: [
    'https://assets.runware.ai/assets/inputs/5f88168e-166c-4933-b6e3-b48ca142ea9a.jpg',
    'https://assets.runware.ai/assets/inputs/73b3797f-af09-4bb9-bf6c-257fcbb74167.jpg',
    'https://assets.runware.ai/assets/inputs/cf3e9af6-5b8a-4ae9-a155-9d11233f0ca1.jpg'
  ],
  model: 'openai:gpt-image@2',
  positivePrompt: 'Create an intricate frontal view of a maximalist curiosity cabinet assembled from three reference images. Blend the antique drawer cabinet structure with the natural specimens and scientific tabletop objects into a single meticulously organized scene. Some drawers are open, revealing shells, minerals, feathers, seed pods, pinned insects, tiny labeled vials, folded maps, calipers, and handwritten inventory cards. Include crisp readable drawer labels such as \'Specimen 07\', \'River Stones\', \'Wing Study\', and \'Archive B\'. Warm museum lighting, tactile wood grain, brass hardware, paper textures, realistic shadows, elegant composition, highly detailed, photorealistic but slightly whimsical, no people.',
  width: 1024,
  height: 768,
  providerSettings: {
    openai: {
      quality: 'high',
      moderation: 'auto'
    }
  }
})

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({
            "referenceImages": [
                "https://assets.runware.ai/assets/inputs/5f88168e-166c-4933-b6e3-b48ca142ea9a.jpg",
                "https://assets.runware.ai/assets/inputs/73b3797f-af09-4bb9-bf6c-257fcbb74167.jpg",
                "https://assets.runware.ai/assets/inputs/cf3e9af6-5b8a-4ae9-a155-9d11233f0ca1.jpg"
            ],
            "model": "openai:gpt-image@2",
            "positivePrompt": "Create an intricate frontal view of a maximalist curiosity cabinet assembled from three reference images. Blend the antique drawer cabinet structure with the natural specimens and scientific tabletop objects into a single meticulously organized scene. Some drawers are open, revealing shells, minerals, feathers, seed pods, pinned insects, tiny labeled vials, folded maps, calipers, and handwritten inventory cards. Include crisp readable drawer labels such as 'Specimen 07', 'River Stones', 'Wing Study', and 'Archive B'. Warm museum lighting, tactile wood grain, brass hardware, paper textures, realistic shadows, elegant composition, highly detailed, photorealistic but slightly whimsical, no people.",
            "width": 1024,
            "height": 768,
            "providerSettings": {
                "openai": {
                    "quality": "high",
                    "moderation": "auto"
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "5eac448a-60b8-4be2-8de6-9a5c0031d527",
      "referenceImages": [
        "https://assets.runware.ai/assets/inputs/5f88168e-166c-4933-b6e3-b48ca142ea9a.jpg",
        "https://assets.runware.ai/assets/inputs/73b3797f-af09-4bb9-bf6c-257fcbb74167.jpg",
        "https://assets.runware.ai/assets/inputs/cf3e9af6-5b8a-4ae9-a155-9d11233f0ca1.jpg"
      ],
      "model": "openai:gpt-image@2",
      "positivePrompt": "Create an intricate frontal view of a maximalist curiosity cabinet assembled from three reference images. Blend the antique drawer cabinet structure with the natural specimens and scientific tabletop objects into a single meticulously organized scene. Some drawers are open, revealing shells, minerals, feathers, seed pods, pinned insects, tiny labeled vials, folded maps, calipers, and handwritten inventory cards. Include crisp readable drawer labels such as 'Specimen 07', 'River Stones', 'Wing Study', and 'Archive B'. Warm museum lighting, tactile wood grain, brass hardware, paper textures, realistic shadows, elegant composition, highly detailed, photorealistic but slightly whimsical, no people.",
      "width": 1024,
      "height": 768,
      "providerSettings": {
        "openai": {
          "quality": "high",
          "moderation": "auto"
        }
      }
    }
  ]'

runware run openai:gpt-image@2 \
  referenceImages.0=https://assets.runware.ai/assets/inputs/5f88168e-166c-4933-b6e3-b48ca142ea9a.jpg \
  referenceImages.1=https://assets.runware.ai/assets/inputs/73b3797f-af09-4bb9-bf6c-257fcbb74167.jpg \
  referenceImages.2=https://assets.runware.ai/assets/inputs/cf3e9af6-5b8a-4ae9-a155-9d11233f0ca1.jpg \
  positivePrompt="Create an intricate frontal view of a maximalist curiosity cabinet assembled from three reference images. Blend the antique drawer cabinet structure with the natural specimens and scientific tabletop objects into a single meticulously organized scene. Some drawers are open, revealing shells, minerals, feathers, seed pods, pinned insects, tiny labeled vials, folded maps, calipers, and handwritten inventory cards. Include crisp readable drawer labels such as 'Specimen 07', 'River Stones', 'Wing Study', and 'Archive B'. Warm museum lighting, tactile wood grain, brass hardware, paper textures, realistic shadows, elegant composition, highly detailed, photorealistic but slightly whimsical, no people." \
  width=1024 \
  height=768 \
  providerSettings.openai.quality=high \
  providerSettings.openai.moderation=auto

{
  "taskType": "imageInference",
  "taskUUID": "5eac448a-60b8-4be2-8de6-9a5c0031d527",
  "referenceImages": [
    "https://assets.runware.ai/assets/inputs/5f88168e-166c-4933-b6e3-b48ca142ea9a.jpg",
    "https://assets.runware.ai/assets/inputs/73b3797f-af09-4bb9-bf6c-257fcbb74167.jpg",
    "https://assets.runware.ai/assets/inputs/cf3e9af6-5b8a-4ae9-a155-9d11233f0ca1.jpg"
  ],
  "model": "openai:gpt-image@2",
  "positivePrompt": "Create an intricate frontal view of a maximalist curiosity cabinet assembled from three reference images. Blend the antique drawer cabinet structure with the natural specimens and scientific tabletop objects into a single meticulously organized scene. Some drawers are open, revealing shells, minerals, feathers, seed pods, pinned insects, tiny labeled vials, folded maps, calipers, and handwritten inventory cards. Include crisp readable drawer labels such as 'Specimen 07', 'River Stones', 'Wing Study', and 'Archive B'. Warm museum lighting, tactile wood grain, brass hardware, paper textures, realistic shadows, elegant composition, highly detailed, photorealistic but slightly whimsical, no people.",
  "width": 1024,
  "height": 768,
  "providerSettings": {
    "openai": {
      "quality": "high",
      "moderation": "auto"
    }
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  referenceImages: [
    'https://assets.runware.ai/assets/inputs/10501302-c696-4b56-829f-d7caf6a3d37a.jpg',
    'https://assets.runware.ai/assets/inputs/28d238c0-3e25-4e40-bf94-41318abff219.jpg',
    'https://assets.runware.ai/assets/inputs/c5764021-5e4e-4ee3-b431-66541b885c1a.jpg',
    'https://assets.runware.ai/assets/inputs/e896c420-8684-4819-985e-3adcd51bf50d.jpg',
    'https://assets.runware.ai/assets/inputs/d515bc77-a09a-4fb9-b556-ccd461791cc9.jpg',
    'https://assets.runware.ai/assets/inputs/cc29a13b-910d-422e-ac37-bbe0bd471a8d.jpg'
  ],
  model: 'openai:gpt-image@2',
  positivePrompt: 'Using all 6 reference images as source inspiration, create a refined overhead composition of an eccentric culinary research archive arranged inside a shallow wooden specimen drawer. Include cut fruit studies, ceramic sample bowls, brass measuring instruments, smoky glass containers, annotated index cards, and carefully ordered ingredient fragments. The scene should feel like a hybrid of gastronomy, taxonomy, and design documentation, with strong spatial organization and clear separations between objects. Add several small readable paper labels in neat serif typography, such as \'FIG SECTION\', \'ARIL COUNT\', \'PEAR SLICE\', \'GLAZE SAMPLE\', and \'VOLUME TEST\'. Emphasize realistic materials, tactile surfaces, subtle dust, precise shadows, premium editorial lighting, and immaculate detail. Rich but restrained palette: garnet, olive, cream, brass, walnut, and ash gray. Photorealistic, elegant, highly controlled composition, no people, no background clutter.',
  width: 1536,
  height: 1024,
  providerSettings: {
    openai: {
      quality: 'high',
      moderation: 'auto'
    }
  }
})

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({
            "referenceImages": [
                "https://assets.runware.ai/assets/inputs/10501302-c696-4b56-829f-d7caf6a3d37a.jpg",
                "https://assets.runware.ai/assets/inputs/28d238c0-3e25-4e40-bf94-41318abff219.jpg",
                "https://assets.runware.ai/assets/inputs/c5764021-5e4e-4ee3-b431-66541b885c1a.jpg",
                "https://assets.runware.ai/assets/inputs/e896c420-8684-4819-985e-3adcd51bf50d.jpg",
                "https://assets.runware.ai/assets/inputs/d515bc77-a09a-4fb9-b556-ccd461791cc9.jpg",
                "https://assets.runware.ai/assets/inputs/cc29a13b-910d-422e-ac37-bbe0bd471a8d.jpg"
            ],
            "model": "openai:gpt-image@2",
            "positivePrompt": "Using all 6 reference images as source inspiration, create a refined overhead composition of an eccentric culinary research archive arranged inside a shallow wooden specimen drawer. Include cut fruit studies, ceramic sample bowls, brass measuring instruments, smoky glass containers, annotated index cards, and carefully ordered ingredient fragments. The scene should feel like a hybrid of gastronomy, taxonomy, and design documentation, with strong spatial organization and clear separations between objects. Add several small readable paper labels in neat serif typography, such as 'FIG SECTION', 'ARIL COUNT', 'PEAR SLICE', 'GLAZE SAMPLE', and 'VOLUME TEST'. Emphasize realistic materials, tactile surfaces, subtle dust, precise shadows, premium editorial lighting, and immaculate detail. Rich but restrained palette: garnet, olive, cream, brass, walnut, and ash gray. Photorealistic, elegant, highly controlled composition, no people, no background clutter.",
            "width": 1536,
            "height": 1024,
            "providerSettings": {
                "openai": {
                    "quality": "high",
                    "moderation": "auto"
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "62ce7879-8da3-4cdd-9a31-f18a61e278c6",
      "referenceImages": [
        "https://assets.runware.ai/assets/inputs/10501302-c696-4b56-829f-d7caf6a3d37a.jpg",
        "https://assets.runware.ai/assets/inputs/28d238c0-3e25-4e40-bf94-41318abff219.jpg",
        "https://assets.runware.ai/assets/inputs/c5764021-5e4e-4ee3-b431-66541b885c1a.jpg",
        "https://assets.runware.ai/assets/inputs/e896c420-8684-4819-985e-3adcd51bf50d.jpg",
        "https://assets.runware.ai/assets/inputs/d515bc77-a09a-4fb9-b556-ccd461791cc9.jpg",
        "https://assets.runware.ai/assets/inputs/cc29a13b-910d-422e-ac37-bbe0bd471a8d.jpg"
      ],
      "model": "openai:gpt-image@2",
      "positivePrompt": "Using all 6 reference images as source inspiration, create a refined overhead composition of an eccentric culinary research archive arranged inside a shallow wooden specimen drawer. Include cut fruit studies, ceramic sample bowls, brass measuring instruments, smoky glass containers, annotated index cards, and carefully ordered ingredient fragments. The scene should feel like a hybrid of gastronomy, taxonomy, and design documentation, with strong spatial organization and clear separations between objects. Add several small readable paper labels in neat serif typography, such as 'FIG SECTION', 'ARIL COUNT', 'PEAR SLICE', 'GLAZE SAMPLE', and 'VOLUME TEST'. Emphasize realistic materials, tactile surfaces, subtle dust, precise shadows, premium editorial lighting, and immaculate detail. Rich but restrained palette: garnet, olive, cream, brass, walnut, and ash gray. Photorealistic, elegant, highly controlled composition, no people, no background clutter.",
      "width": 1536,
      "height": 1024,
      "providerSettings": {
        "openai": {
          "quality": "high",
          "moderation": "auto"
        }
      }
    }
  ]'

runware run openai:gpt-image@2 \
  referenceImages.0=https://assets.runware.ai/assets/inputs/10501302-c696-4b56-829f-d7caf6a3d37a.jpg \
  referenceImages.1=https://assets.runware.ai/assets/inputs/28d238c0-3e25-4e40-bf94-41318abff219.jpg \
  referenceImages.2=https://assets.runware.ai/assets/inputs/c5764021-5e4e-4ee3-b431-66541b885c1a.jpg \
  referenceImages.3=https://assets.runware.ai/assets/inputs/e896c420-8684-4819-985e-3adcd51bf50d.jpg \
  referenceImages.4=https://assets.runware.ai/assets/inputs/d515bc77-a09a-4fb9-b556-ccd461791cc9.jpg \
  referenceImages.5=https://assets.runware.ai/assets/inputs/cc29a13b-910d-422e-ac37-bbe0bd471a8d.jpg \
  positivePrompt="Using all 6 reference images as source inspiration, create a refined overhead composition of an eccentric culinary research archive arranged inside a shallow wooden specimen drawer. Include cut fruit studies, ceramic sample bowls, brass measuring instruments, smoky glass containers, annotated index cards, and carefully ordered ingredient fragments. The scene should feel like a hybrid of gastronomy, taxonomy, and design documentation, with strong spatial organization and clear separations between objects. Add several small readable paper labels in neat serif typography, such as 'FIG SECTION', 'ARIL COUNT', 'PEAR SLICE', 'GLAZE SAMPLE', and 'VOLUME TEST'. Emphasize realistic materials, tactile surfaces, subtle dust, precise shadows, premium editorial lighting, and immaculate detail. Rich but restrained palette: garnet, olive, cream, brass, walnut, and ash gray. Photorealistic, elegant, highly controlled composition, no people, no background clutter." \
  width=1536 \
  height=1024 \
  providerSettings.openai.quality=high \
  providerSettings.openai.moderation=auto

{
  "taskType": "imageInference",
  "taskUUID": "62ce7879-8da3-4cdd-9a31-f18a61e278c6",
  "referenceImages": [
    "https://assets.runware.ai/assets/inputs/10501302-c696-4b56-829f-d7caf6a3d37a.jpg",
    "https://assets.runware.ai/assets/inputs/28d238c0-3e25-4e40-bf94-41318abff219.jpg",
    "https://assets.runware.ai/assets/inputs/c5764021-5e4e-4ee3-b431-66541b885c1a.jpg",
    "https://assets.runware.ai/assets/inputs/e896c420-8684-4819-985e-3adcd51bf50d.jpg",
    "https://assets.runware.ai/assets/inputs/d515bc77-a09a-4fb9-b556-ccd461791cc9.jpg",
    "https://assets.runware.ai/assets/inputs/cc29a13b-910d-422e-ac37-bbe0bd471a8d.jpg"
  ],
  "model": "openai:gpt-image@2",
  "positivePrompt": "Using all 6 reference images as source inspiration, create a refined overhead composition of an eccentric culinary research archive arranged inside a shallow wooden specimen drawer. Include cut fruit studies, ceramic sample bowls, brass measuring instruments, smoky glass containers, annotated index cards, and carefully ordered ingredient fragments. The scene should feel like a hybrid of gastronomy, taxonomy, and design documentation, with strong spatial organization and clear separations between objects. Add several small readable paper labels in neat serif typography, such as 'FIG SECTION', 'ARIL COUNT', 'PEAR SLICE', 'GLAZE SAMPLE', and 'VOLUME TEST'. Emphasize realistic materials, tactile surfaces, subtle dust, precise shadows, premium editorial lighting, and immaculate detail. Rich but restrained palette: garnet, olive, cream, brass, walnut, and ash gray. Photorealistic, elegant, highly controlled composition, no people, no background clutter.",
  "width": 1536,
  "height": 1024,
  "providerSettings": {
    "openai": {
      "quality": "high",
      "moderation": "auto"
    }
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  outputFormat: 'PNG',
  model: 'openai:gpt-image@2',
  positivePrompt: 'Create a polished full-body character portrait of Mara Singh, a fictional veteran railway signal technician and recurring vocational-training persona. She is a sturdy 52-year-old South Asian woman with a heart-shaped face, warm brown skin, dark brown eyes, a small notch in her left eyebrow, and a chin-length black bob with a prominent silver streak over her right temple. She wears round amber safety glasses, deep aubergine work coveralls, a fitted chartreuse high-visibility vest with silver reflective bands, black steel-toe boots, and a compact orange signal-circuit tester clipped at her hip. No logos, lettering, badges, or brand marks. Confident but approachable expression, relaxed three-quarter stance, one hand resting near her tool belt and the other holding a pair of insulated work gloves. Premium stylized 3D editorial character design with tactile woven fabrics, subtly simplified proportions, realistic facial detail, restrained clay-like modeling, and soft studio-quality illumination. Preserve these distinctive identity and wardrobe details as a clear repeatable character specification. One subject only, completely isolated on a genuinely transparent background, clean production-ready silhouette, crisp edges around hair and clothing, no environment, no backdrop, no floor, no platform, no shadow, no props beyond her wearable tools and gloves. Landscape composition with the full figure centered slightly left, occupying about 82 percent of the canvas height, with generous transparent breathing room on the right for flexible training-layout use.',
  width: 1280,
  height: 1024,
  settings: {
    background: 'transparent'
  }
})

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({
            "outputFormat": "PNG",
            "model": "openai:gpt-image@2",
            "positivePrompt": "Create a polished full-body character portrait of Mara Singh, a fictional veteran railway signal technician and recurring vocational-training persona. She is a sturdy 52-year-old South Asian woman with a heart-shaped face, warm brown skin, dark brown eyes, a small notch in her left eyebrow, and a chin-length black bob with a prominent silver streak over her right temple. She wears round amber safety glasses, deep aubergine work coveralls, a fitted chartreuse high-visibility vest with silver reflective bands, black steel-toe boots, and a compact orange signal-circuit tester clipped at her hip. No logos, lettering, badges, or brand marks. Confident but approachable expression, relaxed three-quarter stance, one hand resting near her tool belt and the other holding a pair of insulated work gloves. Premium stylized 3D editorial character design with tactile woven fabrics, subtly simplified proportions, realistic facial detail, restrained clay-like modeling, and soft studio-quality illumination. Preserve these distinctive identity and wardrobe details as a clear repeatable character specification. One subject only, completely isolated on a genuinely transparent background, clean production-ready silhouette, crisp edges around hair and clothing, no environment, no backdrop, no floor, no platform, no shadow, no props beyond her wearable tools and gloves. Landscape composition with the full figure centered slightly left, occupying about 82 percent of the canvas height, with generous transparent breathing room on the right for flexible training-layout use.",
            "width": 1280,
            "height": 1024,
            "settings": {
                "background": "transparent"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "64d68e06-7434-432a-ad80-fdd7e2a83cf3",
      "outputFormat": "PNG",
      "model": "openai:gpt-image@2",
      "positivePrompt": "Create a polished full-body character portrait of Mara Singh, a fictional veteran railway signal technician and recurring vocational-training persona. She is a sturdy 52-year-old South Asian woman with a heart-shaped face, warm brown skin, dark brown eyes, a small notch in her left eyebrow, and a chin-length black bob with a prominent silver streak over her right temple. She wears round amber safety glasses, deep aubergine work coveralls, a fitted chartreuse high-visibility vest with silver reflective bands, black steel-toe boots, and a compact orange signal-circuit tester clipped at her hip. No logos, lettering, badges, or brand marks. Confident but approachable expression, relaxed three-quarter stance, one hand resting near her tool belt and the other holding a pair of insulated work gloves. Premium stylized 3D editorial character design with tactile woven fabrics, subtly simplified proportions, realistic facial detail, restrained clay-like modeling, and soft studio-quality illumination. Preserve these distinctive identity and wardrobe details as a clear repeatable character specification. One subject only, completely isolated on a genuinely transparent background, clean production-ready silhouette, crisp edges around hair and clothing, no environment, no backdrop, no floor, no platform, no shadow, no props beyond her wearable tools and gloves. Landscape composition with the full figure centered slightly left, occupying about 82 percent of the canvas height, with generous transparent breathing room on the right for flexible training-layout use.",
      "width": 1280,
      "height": 1024,
      "settings": {
        "background": "transparent"
      }
    }
  ]'

runware run openai:gpt-image@2 \
  outputFormat=PNG \
  positivePrompt="Create a polished full-body character portrait of Mara Singh, a fictional veteran railway signal technician and recurring vocational-training persona. She is a sturdy 52-year-old South Asian woman with a heart-shaped face, warm brown skin, dark brown eyes, a small notch in her left eyebrow, and a chin-length black bob with a prominent silver streak over her right temple. She wears round amber safety glasses, deep aubergine work coveralls, a fitted chartreuse high-visibility vest with silver reflective bands, black steel-toe boots, and a compact orange signal-circuit tester clipped at her hip. No logos, lettering, badges, or brand marks. Confident but approachable expression, relaxed three-quarter stance, one hand resting near her tool belt and the other holding a pair of insulated work gloves. Premium stylized 3D editorial character design with tactile woven fabrics, subtly simplified proportions, realistic facial detail, restrained clay-like modeling, and soft studio-quality illumination. Preserve these distinctive identity and wardrobe details as a clear repeatable character specification. One subject only, completely isolated on a genuinely transparent background, clean production-ready silhouette, crisp edges around hair and clothing, no environment, no backdrop, no floor, no platform, no shadow, no props beyond her wearable tools and gloves. Landscape composition with the full figure centered slightly left, occupying about 82 percent of the canvas height, with generous transparent breathing room on the right for flexible training-layout use." \
  width=1280 \
  height=1024 \
  settings.background=transparent

{
  "taskType": "imageInference",
  "taskUUID": "64d68e06-7434-432a-ad80-fdd7e2a83cf3",
  "outputFormat": "PNG",
  "model": "openai:gpt-image@2",
  "positivePrompt": "Create a polished full-body character portrait of Mara Singh, a fictional veteran railway signal technician and recurring vocational-training persona. She is a sturdy 52-year-old South Asian woman with a heart-shaped face, warm brown skin, dark brown eyes, a small notch in her left eyebrow, and a chin-length black bob with a prominent silver streak over her right temple. She wears round amber safety glasses, deep aubergine work coveralls, a fitted chartreuse high-visibility vest with silver reflective bands, black steel-toe boots, and a compact orange signal-circuit tester clipped at her hip. No logos, lettering, badges, or brand marks. Confident but approachable expression, relaxed three-quarter stance, one hand resting near her tool belt and the other holding a pair of insulated work gloves. Premium stylized 3D editorial character design with tactile woven fabrics, subtly simplified proportions, realistic facial detail, restrained clay-like modeling, and soft studio-quality illumination. Preserve these distinctive identity and wardrobe details as a clear repeatable character specification. One subject only, completely isolated on a genuinely transparent background, clean production-ready silhouette, crisp edges around hair and clothing, no environment, no backdrop, no floor, no platform, no shadow, no props beyond her wearable tools and gloves. Landscape composition with the full figure centered slightly left, occupying about 82 percent of the canvas height, with generous transparent breathing room on the right for flexible training-layout use.",
  "width": 1280,
  "height": 1024,
  "settings": {
    "background": "transparent"
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'openai:gpt-image@2',
  positivePrompt: 'A richly detailed underground metro concourse transformed into a citrus-themed transit hub, cinematic wide-angle view, polished terrazzo floors reflecting amber and tangerine tones, vaulted ceiling with ribbed concrete and suspended wayfinding panels, commuters in contemporary fashion moving through the scene, a central kiosk shaped like a sliced orange, tiled murals of lemons and grapefruits, sleek ticket gates, benches with curved enamel finishes, stacked crates of oranges near a service entrance, subtle haze from train brakes, realistic depth and lighting, photorealistic rendering, ultra-sharp textures, readable embedded text on signs that says \'PLATFORM 3\', \'CITRUS LINE\', and \'EXIT B\', balanced layout, no watermark',
  width: 1536,
  height: 1024,
  providerSettings: {
    openai: {
      quality: 'high',
      moderation: 'auto'
    }
  }
})

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": "openai:gpt-image@2",
            "positivePrompt": "A richly detailed underground metro concourse transformed into a citrus-themed transit hub, cinematic wide-angle view, polished terrazzo floors reflecting amber and tangerine tones, vaulted ceiling with ribbed concrete and suspended wayfinding panels, commuters in contemporary fashion moving through the scene, a central kiosk shaped like a sliced orange, tiled murals of lemons and grapefruits, sleek ticket gates, benches with curved enamel finishes, stacked crates of oranges near a service entrance, subtle haze from train brakes, realistic depth and lighting, photorealistic rendering, ultra-sharp textures, readable embedded text on signs that says 'PLATFORM 3', 'CITRUS LINE', and 'EXIT B', balanced layout, no watermark",
            "width": 1536,
            "height": 1024,
            "providerSettings": {
                "openai": {
                    "quality": "high",
                    "moderation": "auto"
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "c295bd45-d5d4-4cdb-95c0-3ed7def5cdd9",
      "model": "openai:gpt-image@2",
      "positivePrompt": "A richly detailed underground metro concourse transformed into a citrus-themed transit hub, cinematic wide-angle view, polished terrazzo floors reflecting amber and tangerine tones, vaulted ceiling with ribbed concrete and suspended wayfinding panels, commuters in contemporary fashion moving through the scene, a central kiosk shaped like a sliced orange, tiled murals of lemons and grapefruits, sleek ticket gates, benches with curved enamel finishes, stacked crates of oranges near a service entrance, subtle haze from train brakes, realistic depth and lighting, photorealistic rendering, ultra-sharp textures, readable embedded text on signs that says 'PLATFORM 3', 'CITRUS LINE', and 'EXIT B', balanced layout, no watermark",
      "width": 1536,
      "height": 1024,
      "providerSettings": {
        "openai": {
          "quality": "high",
          "moderation": "auto"
        }
      }
    }
  ]'

runware run openai:gpt-image@2 \
  positivePrompt="A richly detailed underground metro concourse transformed into a citrus-themed transit hub, cinematic wide-angle view, polished terrazzo floors reflecting amber and tangerine tones, vaulted ceiling with ribbed concrete and suspended wayfinding panels, commuters in contemporary fashion moving through the scene, a central kiosk shaped like a sliced orange, tiled murals of lemons and grapefruits, sleek ticket gates, benches with curved enamel finishes, stacked crates of oranges near a service entrance, subtle haze from train brakes, realistic depth and lighting, photorealistic rendering, ultra-sharp textures, readable embedded text on signs that says 'PLATFORM 3', 'CITRUS LINE', and 'EXIT B', balanced layout, no watermark" \
  width=1536 \
  height=1024 \
  providerSettings.openai.quality=high \
  providerSettings.openai.moderation=auto

{
  "taskType": "imageInference",
  "taskUUID": "c295bd45-d5d4-4cdb-95c0-3ed7def5cdd9",
  "model": "openai:gpt-image@2",
  "positivePrompt": "A richly detailed underground metro concourse transformed into a citrus-themed transit hub, cinematic wide-angle view, polished terrazzo floors reflecting amber and tangerine tones, vaulted ceiling with ribbed concrete and suspended wayfinding panels, commuters in contemporary fashion moving through the scene, a central kiosk shaped like a sliced orange, tiled murals of lemons and grapefruits, sleek ticket gates, benches with curved enamel finishes, stacked crates of oranges near a service entrance, subtle haze from train brakes, realistic depth and lighting, photorealistic rendering, ultra-sharp textures, readable embedded text on signs that says 'PLATFORM 3', 'CITRUS LINE', and 'EXIT B', balanced layout, no watermark",
  "width": 1536,
  "height": 1024,
  "providerSettings": {
    "openai": {
      "quality": "high",
      "moderation": "auto"
    }
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  referenceImages: [
    'https://assets.runware.ai/assets/inputs/37730e56-2ff2-402b-91d0-1f9a37fdf50e.jpg'
  ],
  model: 'openai:gpt-image@2',
  positivePrompt: 'Transform the single reference image into an imaginative suspended herbarium reading nook inside a vast airy atrium. Preserve the general room layout and furniture placement from the reference, but reimagine the scene with curved wooden shelving, hundreds of neatly mounted dried plants in glass frames, labeled specimen drawers, dangling paper tags, brass stair rails, a deep moss-green armchair, a tiny writing desk with open field journals, and thin bridges connecting to neighboring alcoves in the distance. Soft afternoon sunlight pours through the window and catches floating dust motes. Include crisp readable drawer labels such as \'FERNS\', \'SEEDS\', and \'ALPINE CUTTINGS\'. Photorealistic materials, elegant spatial depth, meticulous textures, calm scholarly mood, natural color palette with touches of amber and green, highly coherent composition.',
  width: 1024,
  height: 768,
  providerSettings: {
    openai: {
      quality: 'high',
      moderation: 'auto'
    }
  }
})

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({
            "referenceImages": [
                "https://assets.runware.ai/assets/inputs/37730e56-2ff2-402b-91d0-1f9a37fdf50e.jpg"
            ],
            "model": "openai:gpt-image@2",
            "positivePrompt": "Transform the single reference image into an imaginative suspended herbarium reading nook inside a vast airy atrium. Preserve the general room layout and furniture placement from the reference, but reimagine the scene with curved wooden shelving, hundreds of neatly mounted dried plants in glass frames, labeled specimen drawers, dangling paper tags, brass stair rails, a deep moss-green armchair, a tiny writing desk with open field journals, and thin bridges connecting to neighboring alcoves in the distance. Soft afternoon sunlight pours through the window and catches floating dust motes. Include crisp readable drawer labels such as 'FERNS', 'SEEDS', and 'ALPINE CUTTINGS'. Photorealistic materials, elegant spatial depth, meticulous textures, calm scholarly mood, natural color palette with touches of amber and green, highly coherent composition.",
            "width": 1024,
            "height": 768,
            "providerSettings": {
                "openai": {
                    "quality": "high",
                    "moderation": "auto"
                }
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "6f8a3211-45bf-4dee-ae55-02dc5233b21d",
      "referenceImages": [
        "https://assets.runware.ai/assets/inputs/37730e56-2ff2-402b-91d0-1f9a37fdf50e.jpg"
      ],
      "model": "openai:gpt-image@2",
      "positivePrompt": "Transform the single reference image into an imaginative suspended herbarium reading nook inside a vast airy atrium. Preserve the general room layout and furniture placement from the reference, but reimagine the scene with curved wooden shelving, hundreds of neatly mounted dried plants in glass frames, labeled specimen drawers, dangling paper tags, brass stair rails, a deep moss-green armchair, a tiny writing desk with open field journals, and thin bridges connecting to neighboring alcoves in the distance. Soft afternoon sunlight pours through the window and catches floating dust motes. Include crisp readable drawer labels such as 'FERNS', 'SEEDS', and 'ALPINE CUTTINGS'. Photorealistic materials, elegant spatial depth, meticulous textures, calm scholarly mood, natural color palette with touches of amber and green, highly coherent composition.",
      "width": 1024,
      "height": 768,
      "providerSettings": {
        "openai": {
          "quality": "high",
          "moderation": "auto"
        }
      }
    }
  ]'

runware run openai:gpt-image@2 \
  referenceImages.0=https://assets.runware.ai/assets/inputs/37730e56-2ff2-402b-91d0-1f9a37fdf50e.jpg \
  positivePrompt="Transform the single reference image into an imaginative suspended herbarium reading nook inside a vast airy atrium. Preserve the general room layout and furniture placement from the reference, but reimagine the scene with curved wooden shelving, hundreds of neatly mounted dried plants in glass frames, labeled specimen drawers, dangling paper tags, brass stair rails, a deep moss-green armchair, a tiny writing desk with open field journals, and thin bridges connecting to neighboring alcoves in the distance. Soft afternoon sunlight pours through the window and catches floating dust motes. Include crisp readable drawer labels such as 'FERNS', 'SEEDS', and 'ALPINE CUTTINGS'. Photorealistic materials, elegant spatial depth, meticulous textures, calm scholarly mood, natural color palette with touches of amber and green, highly coherent composition." \
  width=1024 \
  height=768 \
  providerSettings.openai.quality=high \
  providerSettings.openai.moderation=auto

{
  "taskType": "imageInference",
  "taskUUID": "6f8a3211-45bf-4dee-ae55-02dc5233b21d",
  "referenceImages": [
    "https://assets.runware.ai/assets/inputs/37730e56-2ff2-402b-91d0-1f9a37fdf50e.jpg"
  ],
  "model": "openai:gpt-image@2",
  "positivePrompt": "Transform the single reference image into an imaginative suspended herbarium reading nook inside a vast airy atrium. Preserve the general room layout and furniture placement from the reference, but reimagine the scene with curved wooden shelving, hundreds of neatly mounted dried plants in glass frames, labeled specimen drawers, dangling paper tags, brass stair rails, a deep moss-green armchair, a tiny writing desk with open field journals, and thin bridges connecting to neighboring alcoves in the distance. Soft afternoon sunlight pours through the window and catches floating dust motes. Include crisp readable drawer labels such as 'FERNS', 'SEEDS', and 'ALPINE CUTTINGS'. Photorealistic materials, elegant spatial depth, meticulous textures, calm scholarly mood, natural color palette with touches of amber and green, highly coherent composition.",
  "width": 1024,
  "height": 768,
  "providerSettings": {
    "openai": {
      "quality": "high",
      "moderation": "auto"
    }
  }
}