Qwen-Image

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'runware:108@1',
  positivePrompt: 'Create the finished 1:1 square expansion of cinematic key art for a premium documentary about the subsea fiber-optic cables carrying global communications. The composition should feel seamlessly outpainted from an originally narrow vertical underwater image: preserve a strong central corridor containing a bright orange armored cable descending into a midnight-blue abyss, then extend the scene naturally to both sides with a vast dark seafloor, drifting marine snow, faint ridges of basalt, delicate glass sponges, and the distant work lights of a compact inspection ROV. A precise pool of cold cyan light reveals the cable and suspended particles while the outer edges fall into rich indigo-black water. Add restrained analog film grain, subtle halation around the ROV lamps, crisp documentary realism, and an elegant high-contrast editorial finish. Use the expanded side areas to create scale and negative space rather than adding competing subjects. Place the exact title “THE QUIET LINE” in large, clean, condensed white capitals across the upper third, perfectly spelled and sharply typeset. Directly beneath it, render the exact tagline “BENEATH EVERY MESSAGE” in smaller widely tracked white capitals. Keep all lettering level, legible, undistorted, and unobstructed. No other words, logos, credits, borders, interface elements, or mockup framing. Finished standalone documentary campaign artwork, tense, intelligent, technically credible, visually balanced for a square social release.',
  width: 1024,
  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": "runware:108@1",
            "positivePrompt": "Create the finished 1:1 square expansion of cinematic key art for a premium documentary about the subsea fiber-optic cables carrying global communications. The composition should feel seamlessly outpainted from an originally narrow vertical underwater image: preserve a strong central corridor containing a bright orange armored cable descending into a midnight-blue abyss, then extend the scene naturally to both sides with a vast dark seafloor, drifting marine snow, faint ridges of basalt, delicate glass sponges, and the distant work lights of a compact inspection ROV. A precise pool of cold cyan light reveals the cable and suspended particles while the outer edges fall into rich indigo-black water. Add restrained analog film grain, subtle halation around the ROV lamps, crisp documentary realism, and an elegant high-contrast editorial finish. Use the expanded side areas to create scale and negative space rather than adding competing subjects. Place the exact title “THE QUIET LINE” in large, clean, condensed white capitals across the upper third, perfectly spelled and sharply typeset. Directly beneath it, render the exact tagline “BENEATH EVERY MESSAGE” in smaller widely tracked white capitals. Keep all lettering level, legible, undistorted, and unobstructed. No other words, logos, credits, borders, interface elements, or mockup framing. Finished standalone documentary campaign artwork, tense, intelligent, technically credible, visually balanced for a square social release.",
            "width": 1024,
            "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": "7c511821-5a93-4127-8e04-5eccddd6f488",
      "model": "runware:108@1",
      "positivePrompt": "Create the finished 1:1 square expansion of cinematic key art for a premium documentary about the subsea fiber-optic cables carrying global communications. The composition should feel seamlessly outpainted from an originally narrow vertical underwater image: preserve a strong central corridor containing a bright orange armored cable descending into a midnight-blue abyss, then extend the scene naturally to both sides with a vast dark seafloor, drifting marine snow, faint ridges of basalt, delicate glass sponges, and the distant work lights of a compact inspection ROV. A precise pool of cold cyan light reveals the cable and suspended particles while the outer edges fall into rich indigo-black water. Add restrained analog film grain, subtle halation around the ROV lamps, crisp documentary realism, and an elegant high-contrast editorial finish. Use the expanded side areas to create scale and negative space rather than adding competing subjects. Place the exact title “THE QUIET LINE” in large, clean, condensed white capitals across the upper third, perfectly spelled and sharply typeset. Directly beneath it, render the exact tagline “BENEATH EVERY MESSAGE” in smaller widely tracked white capitals. Keep all lettering level, legible, undistorted, and unobstructed. No other words, logos, credits, borders, interface elements, or mockup framing. Finished standalone documentary campaign artwork, tense, intelligent, technically credible, visually balanced for a square social release.",
      "width": 1024,
      "height": 1024
    }
  ]'

runware run runware:108@1 \
  positivePrompt="Create the finished 1:1 square expansion of cinematic key art for a premium documentary about the subsea fiber-optic cables carrying global communications. The composition should feel seamlessly outpainted from an originally narrow vertical underwater image: preserve a strong central corridor containing a bright orange armored cable descending into a midnight-blue abyss, then extend the scene naturally to both sides with a vast dark seafloor, drifting marine snow, faint ridges of basalt, delicate glass sponges, and the distant work lights of a compact inspection ROV. A precise pool of cold cyan light reveals the cable and suspended particles while the outer edges fall into rich indigo-black water. Add restrained analog film grain, subtle halation around the ROV lamps, crisp documentary realism, and an elegant high-contrast editorial finish. Use the expanded side areas to create scale and negative space rather than adding competing subjects. Place the exact title “THE QUIET LINE” in large, clean, condensed white capitals across the upper third, perfectly spelled and sharply typeset. Directly beneath it, render the exact tagline “BENEATH EVERY MESSAGE” in smaller widely tracked white capitals. Keep all lettering level, legible, undistorted, and unobstructed. No other words, logos, credits, borders, interface elements, or mockup framing. Finished standalone documentary campaign artwork, tense, intelligent, technically credible, visually balanced for a square social release." \
  width=1024 \
  height=1024

{
  "taskType": "imageInference",
  "taskUUID": "7c511821-5a93-4127-8e04-5eccddd6f488",
  "model": "runware:108@1",
  "positivePrompt": "Create the finished 1:1 square expansion of cinematic key art for a premium documentary about the subsea fiber-optic cables carrying global communications. The composition should feel seamlessly outpainted from an originally narrow vertical underwater image: preserve a strong central corridor containing a bright orange armored cable descending into a midnight-blue abyss, then extend the scene naturally to both sides with a vast dark seafloor, drifting marine snow, faint ridges of basalt, delicate glass sponges, and the distant work lights of a compact inspection ROV. A precise pool of cold cyan light reveals the cable and suspended particles while the outer edges fall into rich indigo-black water. Add restrained analog film grain, subtle halation around the ROV lamps, crisp documentary realism, and an elegant high-contrast editorial finish. Use the expanded side areas to create scale and negative space rather than adding competing subjects. Place the exact title “THE QUIET LINE” in large, clean, condensed white capitals across the upper third, perfectly spelled and sharply typeset. Directly beneath it, render the exact tagline “BENEATH EVERY MESSAGE” in smaller widely tracked white capitals. Keep all lettering level, legible, undistorted, and unobstructed. No other words, logos, credits, borders, interface elements, or mockup framing. Finished standalone documentary campaign artwork, tense, intelligent, technically credible, visually balanced for a square social release.",
  "width": 1024,
  "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: 'runware:108@1',
  positivePrompt: 'Edit the masked foreground subject only and substantially replace the entire person while preserving the surrounding poster exactly. Transform the generic poncho-clad figure into the lead character: a Chinese woman in her late forties, a senior marine disease investigator, standing confidently and looking directly into the camera. Give her a weathered, intelligent face, short windblown black hair threaded with gray, and a calm but guarded expression. She wears a practical cadmium-orange flotation work suit with reflective strips, dark waterproof gloves, and sea-stained rubber boots. In one hand she holds a compact transparent evidence case containing three sealed seawater sample vials; the case must remain within the masked silhouette. Add convincing damp fabric, salt residue, subtle fog moisture, and cool overcast light so she integrates naturally into the existing seawall scene. Maintain the original stance, scale, grounding, shadow direction, and full-body silhouette. Preserve every unmasked element without alteration: the pale fog, flat gray-green sea, wet concrete seawall, negative space, restrained chalk-white and kelp-green color grade, and the exact campaign typography. Keep the large Chinese title “赤潮线” at the top and the smaller English title “RED TIDE LINE” directly beneath it perfectly legible, correctly spelled, sharply typeset, and unchanged. The final result is polished prestige eco-thriller key art for a six-part streaming series, tense, intelligent, realistic, minimal, and ready for release.',
  width: 768,
  height: 1024,
  strength: 0.85,
  maskMargin: 64,
  inputs: {
    seedImage: 'https://assets.runware.ai/assets/inputs/582ccfaa-64ae-43be-bf64-2cd474138c7c.jpg',
    maskImage: 'https://assets.runware.ai/assets/inputs/80e22933-f9dc-42e3-a756-a6a3108d1177.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": "runware:108@1",
            "positivePrompt": "Edit the masked foreground subject only and substantially replace the entire person while preserving the surrounding poster exactly. Transform the generic poncho-clad figure into the lead character: a Chinese woman in her late forties, a senior marine disease investigator, standing confidently and looking directly into the camera. Give her a weathered, intelligent face, short windblown black hair threaded with gray, and a calm but guarded expression. She wears a practical cadmium-orange flotation work suit with reflective strips, dark waterproof gloves, and sea-stained rubber boots. In one hand she holds a compact transparent evidence case containing three sealed seawater sample vials; the case must remain within the masked silhouette. Add convincing damp fabric, salt residue, subtle fog moisture, and cool overcast light so she integrates naturally into the existing seawall scene. Maintain the original stance, scale, grounding, shadow direction, and full-body silhouette. Preserve every unmasked element without alteration: the pale fog, flat gray-green sea, wet concrete seawall, negative space, restrained chalk-white and kelp-green color grade, and the exact campaign typography. Keep the large Chinese title “赤潮线” at the top and the smaller English title “RED TIDE LINE” directly beneath it perfectly legible, correctly spelled, sharply typeset, and unchanged. The final result is polished prestige eco-thriller key art for a six-part streaming series, tense, intelligent, realistic, minimal, and ready for release.",
            "width": 768,
            "height": 1024,
            "strength": 0.85,
            "maskMargin": 64,
            "inputs": {
                "seedImage": "https://assets.runware.ai/assets/inputs/582ccfaa-64ae-43be-bf64-2cd474138c7c.jpg",
                "maskImage": "https://assets.runware.ai/assets/inputs/80e22933-f9dc-42e3-a756-a6a3108d1177.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": "1788f48f-7b8d-4525-8fa4-3a89d998e9af",
      "model": "runware:108@1",
      "positivePrompt": "Edit the masked foreground subject only and substantially replace the entire person while preserving the surrounding poster exactly. Transform the generic poncho-clad figure into the lead character: a Chinese woman in her late forties, a senior marine disease investigator, standing confidently and looking directly into the camera. Give her a weathered, intelligent face, short windblown black hair threaded with gray, and a calm but guarded expression. She wears a practical cadmium-orange flotation work suit with reflective strips, dark waterproof gloves, and sea-stained rubber boots. In one hand she holds a compact transparent evidence case containing three sealed seawater sample vials; the case must remain within the masked silhouette. Add convincing damp fabric, salt residue, subtle fog moisture, and cool overcast light so she integrates naturally into the existing seawall scene. Maintain the original stance, scale, grounding, shadow direction, and full-body silhouette. Preserve every unmasked element without alteration: the pale fog, flat gray-green sea, wet concrete seawall, negative space, restrained chalk-white and kelp-green color grade, and the exact campaign typography. Keep the large Chinese title “赤潮线” at the top and the smaller English title “RED TIDE LINE” directly beneath it perfectly legible, correctly spelled, sharply typeset, and unchanged. The final result is polished prestige eco-thriller key art for a six-part streaming series, tense, intelligent, realistic, minimal, and ready for release.",
      "width": 768,
      "height": 1024,
      "strength": 0.85,
      "maskMargin": 64,
      "inputs": {
        "seedImage": "https://assets.runware.ai/assets/inputs/582ccfaa-64ae-43be-bf64-2cd474138c7c.jpg",
        "maskImage": "https://assets.runware.ai/assets/inputs/80e22933-f9dc-42e3-a756-a6a3108d1177.png"
      }
    }
  ]'

runware run runware:108@1 \
  positivePrompt="Edit the masked foreground subject only and substantially replace the entire person while preserving the surrounding poster exactly. Transform the generic poncho-clad figure into the lead character: a Chinese woman in her late forties, a senior marine disease investigator, standing confidently and looking directly into the camera. Give her a weathered, intelligent face, short windblown black hair threaded with gray, and a calm but guarded expression. She wears a practical cadmium-orange flotation work suit with reflective strips, dark waterproof gloves, and sea-stained rubber boots. In one hand she holds a compact transparent evidence case containing three sealed seawater sample vials; the case must remain within the masked silhouette. Add convincing damp fabric, salt residue, subtle fog moisture, and cool overcast light so she integrates naturally into the existing seawall scene. Maintain the original stance, scale, grounding, shadow direction, and full-body silhouette. Preserve every unmasked element without alteration: the pale fog, flat gray-green sea, wet concrete seawall, negative space, restrained chalk-white and kelp-green color grade, and the exact campaign typography. Keep the large Chinese title “赤潮线” at the top and the smaller English title “RED TIDE LINE” directly beneath it perfectly legible, correctly spelled, sharply typeset, and unchanged. The final result is polished prestige eco-thriller key art for a six-part streaming series, tense, intelligent, realistic, minimal, and ready for release." \
  width=768 \
  height=1024 \
  strength=0.85 \
  maskMargin=64 \
  inputs.seedImage=https://assets.runware.ai/assets/inputs/582ccfaa-64ae-43be-bf64-2cd474138c7c.jpg \
  inputs.maskImage=https://assets.runware.ai/assets/inputs/80e22933-f9dc-42e3-a756-a6a3108d1177.png

{
  "taskType": "imageInference",
  "taskUUID": "1788f48f-7b8d-4525-8fa4-3a89d998e9af",
  "model": "runware:108@1",
  "positivePrompt": "Edit the masked foreground subject only and substantially replace the entire person while preserving the surrounding poster exactly. Transform the generic poncho-clad figure into the lead character: a Chinese woman in her late forties, a senior marine disease investigator, standing confidently and looking directly into the camera. Give her a weathered, intelligent face, short windblown black hair threaded with gray, and a calm but guarded expression. She wears a practical cadmium-orange flotation work suit with reflective strips, dark waterproof gloves, and sea-stained rubber boots. In one hand she holds a compact transparent evidence case containing three sealed seawater sample vials; the case must remain within the masked silhouette. Add convincing damp fabric, salt residue, subtle fog moisture, and cool overcast light so she integrates naturally into the existing seawall scene. Maintain the original stance, scale, grounding, shadow direction, and full-body silhouette. Preserve every unmasked element without alteration: the pale fog, flat gray-green sea, wet concrete seawall, negative space, restrained chalk-white and kelp-green color grade, and the exact campaign typography. Keep the large Chinese title “赤潮线” at the top and the smaller English title “RED TIDE LINE” directly beneath it perfectly legible, correctly spelled, sharply typeset, and unchanged. The final result is polished prestige eco-thriller key art for a six-part streaming series, tense, intelligent, realistic, minimal, and ready for release.",
  "width": 768,
  "height": 1024,
  "strength": 0.85,
  "maskMargin": 64,
  "inputs": {
    "seedImage": "https://assets.runware.ai/assets/inputs/582ccfaa-64ae-43be-bf64-2cd474138c7c.jpg",
    "maskImage": "https://assets.runware.ai/assets/inputs/80e22933-f9dc-42e3-a756-a6a3108d1177.png"
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'runware:108@1',
  positivePrompt: 'A lively evening food lane in an old riverside town, viewed at street level. Main focus: a hand-painted hanging shop sign above a dumpling stall with crisp, readable typography that says in large Chinese characters "春桥锅贴" and below in smaller English letters "Spring Bridge Pan-Fried Dumplings". The sign is made of dark wood with cream paint and small red seal-style corner details. Around it: steam rising from cast-iron pans, cooks in aprons, stacks of bamboo steamers, glass jars of pickled vegetables, warm tungsten bulbs strung overhead, passing customers in modern casual clothes, scooters parked nearby, textured stone pavement reflecting soft light, neighboring storefronts with secondary signage kept less prominent. Cinematic documentary photography look, highly detailed, natural skin tones, realistic materials, rich atmosphere, strong composition emphasizing the sign text, depth of field, authentic urban charm.',
  negativePrompt: 'misspelled text, unreadable letters, duplicated people, extra limbs, deformed hands, blurry sign, low contrast, oversaturated neon, empty street, frame border, watermark, logo, cartoon, 3d render',
  width: 1024,
  height: 768,
  seed: 54039,
  steps: 30,
  scheduler: 'Euler',
  CFGScale: 7.5
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:108@1",
            "positivePrompt": "A lively evening food lane in an old riverside town, viewed at street level. Main focus: a hand-painted hanging shop sign above a dumpling stall with crisp, readable typography that says in large Chinese characters \"春桥锅贴\" and below in smaller English letters \"Spring Bridge Pan-Fried Dumplings\". The sign is made of dark wood with cream paint and small red seal-style corner details. Around it: steam rising from cast-iron pans, cooks in aprons, stacks of bamboo steamers, glass jars of pickled vegetables, warm tungsten bulbs strung overhead, passing customers in modern casual clothes, scooters parked nearby, textured stone pavement reflecting soft light, neighboring storefronts with secondary signage kept less prominent. Cinematic documentary photography look, highly detailed, natural skin tones, realistic materials, rich atmosphere, strong composition emphasizing the sign text, depth of field, authentic urban charm.",
            "negativePrompt": "misspelled text, unreadable letters, duplicated people, extra limbs, deformed hands, blurry sign, low contrast, oversaturated neon, empty street, frame border, watermark, logo, cartoon, 3d render",
            "width": 1024,
            "height": 768,
            "seed": 54039,
            "steps": 30,
            "scheduler": "Euler",
            "CFGScale": 7.5
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "8b73c826-1e10-44f5-b19e-0ed36490db9f",
      "model": "runware:108@1",
      "positivePrompt": "A lively evening food lane in an old riverside town, viewed at street level. Main focus: a hand-painted hanging shop sign above a dumpling stall with crisp, readable typography that says in large Chinese characters \"春桥锅贴\" and below in smaller English letters \"Spring Bridge Pan-Fried Dumplings\". The sign is made of dark wood with cream paint and small red seal-style corner details. Around it: steam rising from cast-iron pans, cooks in aprons, stacks of bamboo steamers, glass jars of pickled vegetables, warm tungsten bulbs strung overhead, passing customers in modern casual clothes, scooters parked nearby, textured stone pavement reflecting soft light, neighboring storefronts with secondary signage kept less prominent. Cinematic documentary photography look, highly detailed, natural skin tones, realistic materials, rich atmosphere, strong composition emphasizing the sign text, depth of field, authentic urban charm.",
      "negativePrompt": "misspelled text, unreadable letters, duplicated people, extra limbs, deformed hands, blurry sign, low contrast, oversaturated neon, empty street, frame border, watermark, logo, cartoon, 3d render",
      "width": 1024,
      "height": 768,
      "seed": 54039,
      "steps": 30,
      "scheduler": "Euler",
      "CFGScale": 7.5
    }
  ]'

runware run runware:108@1 \
  positivePrompt="A lively evening food lane in an old riverside town, viewed at street level. Main focus: a hand-painted hanging shop sign above a dumpling stall with crisp, readable typography that says in large Chinese characters \"春桥锅贴\" and below in smaller English letters \"Spring Bridge Pan-Fried Dumplings\". The sign is made of dark wood with cream paint and small red seal-style corner details. Around it: steam rising from cast-iron pans, cooks in aprons, stacks of bamboo steamers, glass jars of pickled vegetables, warm tungsten bulbs strung overhead, passing customers in modern casual clothes, scooters parked nearby, textured stone pavement reflecting soft light, neighboring storefronts with secondary signage kept less prominent. Cinematic documentary photography look, highly detailed, natural skin tones, realistic materials, rich atmosphere, strong composition emphasizing the sign text, depth of field, authentic urban charm." \
  negativePrompt="misspelled text, unreadable letters, duplicated people, extra limbs, deformed hands, blurry sign, low contrast, oversaturated neon, empty street, frame border, watermark, logo, cartoon, 3d render" \
  width=1024 \
  height=768 \
  seed=54039 \
  steps=30 \
  scheduler=Euler \
  CFGScale=7.5

{
  "taskType": "imageInference",
  "taskUUID": "8b73c826-1e10-44f5-b19e-0ed36490db9f",
  "model": "runware:108@1",
  "positivePrompt": "A lively evening food lane in an old riverside town, viewed at street level. Main focus: a hand-painted hanging shop sign above a dumpling stall with crisp, readable typography that says in large Chinese characters \"春桥锅贴\" and below in smaller English letters \"Spring Bridge Pan-Fried Dumplings\". The sign is made of dark wood with cream paint and small red seal-style corner details. Around it: steam rising from cast-iron pans, cooks in aprons, stacks of bamboo steamers, glass jars of pickled vegetables, warm tungsten bulbs strung overhead, passing customers in modern casual clothes, scooters parked nearby, textured stone pavement reflecting soft light, neighboring storefronts with secondary signage kept less prominent. Cinematic documentary photography look, highly detailed, natural skin tones, realistic materials, rich atmosphere, strong composition emphasizing the sign text, depth of field, authentic urban charm.",
  "negativePrompt": "misspelled text, unreadable letters, duplicated people, extra limbs, deformed hands, blurry sign, low contrast, oversaturated neon, empty street, frame border, watermark, logo, cartoon, 3d render",
  "width": 1024,
  "height": 768,
  "seed": 54039,
  "steps": 30,
  "scheduler": "Euler",
  "CFGScale": 7.5
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'runware:108@1',
  positivePrompt: 'Create a finished 1024x768 landscape illustration for print-on-demand wall art and desktop wallpaper by extending the supplied central image naturally beyond both horizontal edges. Preserve the meteorological observatory, its proportions and its central placement. Reveal the full breadth of a remote highland weather station: a low white 1960s concrete observatory with a shallow instrument dome, slender anemometer mast, rain gauge and Stevenson screen, surrounded by windswept grassland. Continue the gently undulating plateau across the left and right sides at the same horizon height, perspective and subject scale. Add sparse survey stakes, small basalt rocks and rhythmic clumps of grass in the expanded foreground, with no large new focal subject. Extend the long layered cloud bands seamlessly across the entire sky and keep the wind direction consistent in every grass tuft and cloud shape. Bold hand-pulled linocut and reduction woodcut aesthetic, visible carved gouges, irregular ink coverage, tactile ivory paper grain, simplified architectural geometry and crisp graphic silhouettes. Limited palette of deep indigo sky, warm ochre grass, muted sage accents, charcoal details and unprinted ivory highlights. Quiet, bracing, contemplative mood; balanced negative space; refined contemporary editorial printmaking; cohesive edge-to-edge composition suitable for a wide art print. Consistent flat directional light from the upper left, consistent shadows, textures and line weight throughout. No lettering, numbers, logos, frame, mat, mockup, people or interface elements.',
  width: 1024,
  height: 768,
  outpaint: {
    left: 256,
    right: 256,
    blur: 16
  },
  inputs: {
    seedImage: 'https://assets.runware.ai/assets/inputs/b2e1370e-d2a3-42cc-8042-20fcc2738fe3.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": "runware:108@1",
            "positivePrompt": "Create a finished 1024x768 landscape illustration for print-on-demand wall art and desktop wallpaper by extending the supplied central image naturally beyond both horizontal edges. Preserve the meteorological observatory, its proportions and its central placement. Reveal the full breadth of a remote highland weather station: a low white 1960s concrete observatory with a shallow instrument dome, slender anemometer mast, rain gauge and Stevenson screen, surrounded by windswept grassland. Continue the gently undulating plateau across the left and right sides at the same horizon height, perspective and subject scale. Add sparse survey stakes, small basalt rocks and rhythmic clumps of grass in the expanded foreground, with no large new focal subject. Extend the long layered cloud bands seamlessly across the entire sky and keep the wind direction consistent in every grass tuft and cloud shape. Bold hand-pulled linocut and reduction woodcut aesthetic, visible carved gouges, irregular ink coverage, tactile ivory paper grain, simplified architectural geometry and crisp graphic silhouettes. Limited palette of deep indigo sky, warm ochre grass, muted sage accents, charcoal details and unprinted ivory highlights. Quiet, bracing, contemplative mood; balanced negative space; refined contemporary editorial printmaking; cohesive edge-to-edge composition suitable for a wide art print. Consistent flat directional light from the upper left, consistent shadows, textures and line weight throughout. No lettering, numbers, logos, frame, mat, mockup, people or interface elements.",
            "width": 1024,
            "height": 768,
            "outpaint": {
                "left": 256,
                "right": 256,
                "blur": 16
            },
            "inputs": {
                "seedImage": "https://assets.runware.ai/assets/inputs/b2e1370e-d2a3-42cc-8042-20fcc2738fe3.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": "a7119d20-ee79-4d2e-bbd4-8c0e94f05036",
      "model": "runware:108@1",
      "positivePrompt": "Create a finished 1024x768 landscape illustration for print-on-demand wall art and desktop wallpaper by extending the supplied central image naturally beyond both horizontal edges. Preserve the meteorological observatory, its proportions and its central placement. Reveal the full breadth of a remote highland weather station: a low white 1960s concrete observatory with a shallow instrument dome, slender anemometer mast, rain gauge and Stevenson screen, surrounded by windswept grassland. Continue the gently undulating plateau across the left and right sides at the same horizon height, perspective and subject scale. Add sparse survey stakes, small basalt rocks and rhythmic clumps of grass in the expanded foreground, with no large new focal subject. Extend the long layered cloud bands seamlessly across the entire sky and keep the wind direction consistent in every grass tuft and cloud shape. Bold hand-pulled linocut and reduction woodcut aesthetic, visible carved gouges, irregular ink coverage, tactile ivory paper grain, simplified architectural geometry and crisp graphic silhouettes. Limited palette of deep indigo sky, warm ochre grass, muted sage accents, charcoal details and unprinted ivory highlights. Quiet, bracing, contemplative mood; balanced negative space; refined contemporary editorial printmaking; cohesive edge-to-edge composition suitable for a wide art print. Consistent flat directional light from the upper left, consistent shadows, textures and line weight throughout. No lettering, numbers, logos, frame, mat, mockup, people or interface elements.",
      "width": 1024,
      "height": 768,
      "outpaint": {
        "left": 256,
        "right": 256,
        "blur": 16
      },
      "inputs": {
        "seedImage": "https://assets.runware.ai/assets/inputs/b2e1370e-d2a3-42cc-8042-20fcc2738fe3.jpg"
      }
    }
  ]'

runware run runware:108@1 \
  positivePrompt="Create a finished 1024x768 landscape illustration for print-on-demand wall art and desktop wallpaper by extending the supplied central image naturally beyond both horizontal edges. Preserve the meteorological observatory, its proportions and its central placement. Reveal the full breadth of a remote highland weather station: a low white 1960s concrete observatory with a shallow instrument dome, slender anemometer mast, rain gauge and Stevenson screen, surrounded by windswept grassland. Continue the gently undulating plateau across the left and right sides at the same horizon height, perspective and subject scale. Add sparse survey stakes, small basalt rocks and rhythmic clumps of grass in the expanded foreground, with no large new focal subject. Extend the long layered cloud bands seamlessly across the entire sky and keep the wind direction consistent in every grass tuft and cloud shape. Bold hand-pulled linocut and reduction woodcut aesthetic, visible carved gouges, irregular ink coverage, tactile ivory paper grain, simplified architectural geometry and crisp graphic silhouettes. Limited palette of deep indigo sky, warm ochre grass, muted sage accents, charcoal details and unprinted ivory highlights. Quiet, bracing, contemplative mood; balanced negative space; refined contemporary editorial printmaking; cohesive edge-to-edge composition suitable for a wide art print. Consistent flat directional light from the upper left, consistent shadows, textures and line weight throughout. No lettering, numbers, logos, frame, mat, mockup, people or interface elements." \
  width=1024 \
  height=768 \
  outpaint.left=256 \
  outpaint.right=256 \
  outpaint.blur=16 \
  inputs.seedImage=https://assets.runware.ai/assets/inputs/b2e1370e-d2a3-42cc-8042-20fcc2738fe3.jpg

{
  "taskType": "imageInference",
  "taskUUID": "a7119d20-ee79-4d2e-bbd4-8c0e94f05036",
  "model": "runware:108@1",
  "positivePrompt": "Create a finished 1024x768 landscape illustration for print-on-demand wall art and desktop wallpaper by extending the supplied central image naturally beyond both horizontal edges. Preserve the meteorological observatory, its proportions and its central placement. Reveal the full breadth of a remote highland weather station: a low white 1960s concrete observatory with a shallow instrument dome, slender anemometer mast, rain gauge and Stevenson screen, surrounded by windswept grassland. Continue the gently undulating plateau across the left and right sides at the same horizon height, perspective and subject scale. Add sparse survey stakes, small basalt rocks and rhythmic clumps of grass in the expanded foreground, with no large new focal subject. Extend the long layered cloud bands seamlessly across the entire sky and keep the wind direction consistent in every grass tuft and cloud shape. Bold hand-pulled linocut and reduction woodcut aesthetic, visible carved gouges, irregular ink coverage, tactile ivory paper grain, simplified architectural geometry and crisp graphic silhouettes. Limited palette of deep indigo sky, warm ochre grass, muted sage accents, charcoal details and unprinted ivory highlights. Quiet, bracing, contemplative mood; balanced negative space; refined contemporary editorial printmaking; cohesive edge-to-edge composition suitable for a wide art print. Consistent flat directional light from the upper left, consistent shadows, textures and line weight throughout. No lettering, numbers, logos, frame, mat, mockup, people or interface elements.",
  "width": 1024,
  "height": 768,
  "outpaint": {
    "left": 256,
    "right": 256,
    "blur": 16
  },
  "inputs": {
    "seedImage": "https://assets.runware.ai/assets/inputs/b2e1370e-d2a3-42cc-8042-20fcc2738fe3.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: 'runware:108@1',
  positivePrompt: 'A premium square tea tin package centered on a clean studio backdrop, designed for a fictional high-end oolong brand. The front label features beautifully rendered bilingual typography with crisp, legible text. Main English title: "Grand Canal Oolong". Secondary Chinese text: "运河乌龙". Small subtitle line: "Spring Harvest 2026". Additional seal text near the bottom: "Hangzhou Selection" and a small vertical Chinese stamp reading "清香". The package design uses deep jade green, brushed gold foil, ivory paper texture, delicate line illustrations of canal bridges, willow branches, and porcelain teacups, with symmetrical composition and refined spacing. Luxurious product photography, sharp focus, soft diffused lighting, realistic material detail, premium branding aesthetic, typography accuracy emphasized, clean background, highly polished commercial packaging shot.',
  negativePrompt: 'blurry text, misspelled words, warped letters, duplicate tins, cluttered scene, low contrast, noisy background, damaged packaging, distorted label, illegible typography',
  width: 1024,
  height: 1024,
  seed: 53995,
  steps: 30,
  scheduler: 'DPM++ 2M Karras',
  CFGScale: 7.5
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:108@1",
            "positivePrompt": "A premium square tea tin package centered on a clean studio backdrop, designed for a fictional high-end oolong brand. The front label features beautifully rendered bilingual typography with crisp, legible text. Main English title: \"Grand Canal Oolong\". Secondary Chinese text: \"运河乌龙\". Small subtitle line: \"Spring Harvest 2026\". Additional seal text near the bottom: \"Hangzhou Selection\" and a small vertical Chinese stamp reading \"清香\". The package design uses deep jade green, brushed gold foil, ivory paper texture, delicate line illustrations of canal bridges, willow branches, and porcelain teacups, with symmetrical composition and refined spacing. Luxurious product photography, sharp focus, soft diffused lighting, realistic material detail, premium branding aesthetic, typography accuracy emphasized, clean background, highly polished commercial packaging shot.",
            "negativePrompt": "blurry text, misspelled words, warped letters, duplicate tins, cluttered scene, low contrast, noisy background, damaged packaging, distorted label, illegible typography",
            "width": 1024,
            "height": 1024,
            "seed": 53995,
            "steps": 30,
            "scheduler": "DPM++ 2M Karras",
            "CFGScale": 7.5
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "2715eb0b-7d5d-4320-ab9f-77ecee613d67",
      "model": "runware:108@1",
      "positivePrompt": "A premium square tea tin package centered on a clean studio backdrop, designed for a fictional high-end oolong brand. The front label features beautifully rendered bilingual typography with crisp, legible text. Main English title: \"Grand Canal Oolong\". Secondary Chinese text: \"运河乌龙\". Small subtitle line: \"Spring Harvest 2026\". Additional seal text near the bottom: \"Hangzhou Selection\" and a small vertical Chinese stamp reading \"清香\". The package design uses deep jade green, brushed gold foil, ivory paper texture, delicate line illustrations of canal bridges, willow branches, and porcelain teacups, with symmetrical composition and refined spacing. Luxurious product photography, sharp focus, soft diffused lighting, realistic material detail, premium branding aesthetic, typography accuracy emphasized, clean background, highly polished commercial packaging shot.",
      "negativePrompt": "blurry text, misspelled words, warped letters, duplicate tins, cluttered scene, low contrast, noisy background, damaged packaging, distorted label, illegible typography",
      "width": 1024,
      "height": 1024,
      "seed": 53995,
      "steps": 30,
      "scheduler": "DPM++ 2M Karras",
      "CFGScale": 7.5
    }
  ]'

runware run runware:108@1 \
  positivePrompt="A premium square tea tin package centered on a clean studio backdrop, designed for a fictional high-end oolong brand. The front label features beautifully rendered bilingual typography with crisp, legible text. Main English title: \"Grand Canal Oolong\". Secondary Chinese text: \"运河乌龙\". Small subtitle line: \"Spring Harvest 2026\". Additional seal text near the bottom: \"Hangzhou Selection\" and a small vertical Chinese stamp reading \"清香\". The package design uses deep jade green, brushed gold foil, ivory paper texture, delicate line illustrations of canal bridges, willow branches, and porcelain teacups, with symmetrical composition and refined spacing. Luxurious product photography, sharp focus, soft diffused lighting, realistic material detail, premium branding aesthetic, typography accuracy emphasized, clean background, highly polished commercial packaging shot." \
  negativePrompt="blurry text, misspelled words, warped letters, duplicate tins, cluttered scene, low contrast, noisy background, damaged packaging, distorted label, illegible typography" \
  width=1024 \
  height=1024 \
  seed=53995 \
  steps=30 \
  scheduler="DPM++ 2M Karras" \
  CFGScale=7.5

{
  "taskType": "imageInference",
  "taskUUID": "2715eb0b-7d5d-4320-ab9f-77ecee613d67",
  "model": "runware:108@1",
  "positivePrompt": "A premium square tea tin package centered on a clean studio backdrop, designed for a fictional high-end oolong brand. The front label features beautifully rendered bilingual typography with crisp, legible text. Main English title: \"Grand Canal Oolong\". Secondary Chinese text: \"运河乌龙\". Small subtitle line: \"Spring Harvest 2026\". Additional seal text near the bottom: \"Hangzhou Selection\" and a small vertical Chinese stamp reading \"清香\". The package design uses deep jade green, brushed gold foil, ivory paper texture, delicate line illustrations of canal bridges, willow branches, and porcelain teacups, with symmetrical composition and refined spacing. Luxurious product photography, sharp focus, soft diffused lighting, realistic material detail, premium branding aesthetic, typography accuracy emphasized, clean background, highly polished commercial packaging shot.",
  "negativePrompt": "blurry text, misspelled words, warped letters, duplicate tins, cluttered scene, low contrast, noisy background, damaged packaging, distorted label, illegible typography",
  "width": 1024,
  "height": 1024,
  "seed": 53995,
  "steps": 30,
  "scheduler": "DPM++ 2M Karras",
  "CFGScale": 7.5
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'runware:108@1',
  positivePrompt: 'A tall, richly detailed old-city alley transformed into a giant hand-painted mural for a fictional puppet opera premiere. Enormous marionette figures in elaborate lacquered costumes tower across the walls, their strings disappearing into carved balconies above. The scene blends theatrical fantasy and urban texture: faded stucco, peeling paint, paper charms, narrow stone steps, hanging lanterns, scattered confetti, and layered murals within murals. Include beautifully rendered typography painted as part of the wall design: large Chinese characters \'木偶奇谭\' across the upper archway, and smaller English subtitle \'String Opera of the Ninth Lane\' on a side panel, both legible and naturally integrated into the composition. Warm amber, cinnabar red, deep teal, and muted gold palette, dramatic evening glow, cinematic perspective looking upward through the alley, highly detailed brushwork, crisp signage text, imaginative yet believable environment.',
  negativePrompt: 'blurry text, unreadable letters, watermark, logo, low detail, extra limbs, duplicated figures, modern cars, futuristic skyline, flat lighting',
  width: 1024,
  height: 1536,
  seed: 80362,
  steps: 30,
  scheduler: 'DPM++ 2M Karras',
  CFGScale: 7.5
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:108@1",
            "positivePrompt": "A tall, richly detailed old-city alley transformed into a giant hand-painted mural for a fictional puppet opera premiere. Enormous marionette figures in elaborate lacquered costumes tower across the walls, their strings disappearing into carved balconies above. The scene blends theatrical fantasy and urban texture: faded stucco, peeling paint, paper charms, narrow stone steps, hanging lanterns, scattered confetti, and layered murals within murals. Include beautifully rendered typography painted as part of the wall design: large Chinese characters '木偶奇谭' across the upper archway, and smaller English subtitle 'String Opera of the Ninth Lane' on a side panel, both legible and naturally integrated into the composition. Warm amber, cinnabar red, deep teal, and muted gold palette, dramatic evening glow, cinematic perspective looking upward through the alley, highly detailed brushwork, crisp signage text, imaginative yet believable environment.",
            "negativePrompt": "blurry text, unreadable letters, watermark, logo, low detail, extra limbs, duplicated figures, modern cars, futuristic skyline, flat lighting",
            "width": 1024,
            "height": 1536,
            "seed": 80362,
            "steps": 30,
            "scheduler": "DPM++ 2M Karras",
            "CFGScale": 7.5
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "f2d9982e-e237-494a-8a90-418a3b1cc702",
      "model": "runware:108@1",
      "positivePrompt": "A tall, richly detailed old-city alley transformed into a giant hand-painted mural for a fictional puppet opera premiere. Enormous marionette figures in elaborate lacquered costumes tower across the walls, their strings disappearing into carved balconies above. The scene blends theatrical fantasy and urban texture: faded stucco, peeling paint, paper charms, narrow stone steps, hanging lanterns, scattered confetti, and layered murals within murals. Include beautifully rendered typography painted as part of the wall design: large Chinese characters '木偶奇谭' across the upper archway, and smaller English subtitle 'String Opera of the Ninth Lane' on a side panel, both legible and naturally integrated into the composition. Warm amber, cinnabar red, deep teal, and muted gold palette, dramatic evening glow, cinematic perspective looking upward through the alley, highly detailed brushwork, crisp signage text, imaginative yet believable environment.",
      "negativePrompt": "blurry text, unreadable letters, watermark, logo, low detail, extra limbs, duplicated figures, modern cars, futuristic skyline, flat lighting",
      "width": 1024,
      "height": 1536,
      "seed": 80362,
      "steps": 30,
      "scheduler": "DPM++ 2M Karras",
      "CFGScale": 7.5
    }
  ]'

runware run runware:108@1 \
  positivePrompt="A tall, richly detailed old-city alley transformed into a giant hand-painted mural for a fictional puppet opera premiere. Enormous marionette figures in elaborate lacquered costumes tower across the walls, their strings disappearing into carved balconies above. The scene blends theatrical fantasy and urban texture: faded stucco, peeling paint, paper charms, narrow stone steps, hanging lanterns, scattered confetti, and layered murals within murals. Include beautifully rendered typography painted as part of the wall design: large Chinese characters '木偶奇谭' across the upper archway, and smaller English subtitle 'String Opera of the Ninth Lane' on a side panel, both legible and naturally integrated into the composition. Warm amber, cinnabar red, deep teal, and muted gold palette, dramatic evening glow, cinematic perspective looking upward through the alley, highly detailed brushwork, crisp signage text, imaginative yet believable environment." \
  negativePrompt="blurry text, unreadable letters, watermark, logo, low detail, extra limbs, duplicated figures, modern cars, futuristic skyline, flat lighting" \
  width=1024 \
  height=1536 \
  seed=80362 \
  steps=30 \
  scheduler="DPM++ 2M Karras" \
  CFGScale=7.5

{
  "taskType": "imageInference",
  "taskUUID": "f2d9982e-e237-494a-8a90-418a3b1cc702",
  "model": "runware:108@1",
  "positivePrompt": "A tall, richly detailed old-city alley transformed into a giant hand-painted mural for a fictional puppet opera premiere. Enormous marionette figures in elaborate lacquered costumes tower across the walls, their strings disappearing into carved balconies above. The scene blends theatrical fantasy and urban texture: faded stucco, peeling paint, paper charms, narrow stone steps, hanging lanterns, scattered confetti, and layered murals within murals. Include beautifully rendered typography painted as part of the wall design: large Chinese characters '木偶奇谭' across the upper archway, and smaller English subtitle 'String Opera of the Ninth Lane' on a side panel, both legible and naturally integrated into the composition. Warm amber, cinnabar red, deep teal, and muted gold palette, dramatic evening glow, cinematic perspective looking upward through the alley, highly detailed brushwork, crisp signage text, imaginative yet believable environment.",
  "negativePrompt": "blurry text, unreadable letters, watermark, logo, low detail, extra limbs, duplicated figures, modern cars, futuristic skyline, flat lighting",
  "width": 1024,
  "height": 1536,
  "seed": 80362,
  "steps": 30,
  "scheduler": "DPM++ 2M Karras",
  "CFGScale": 7.5
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'runware:108@1',
  positivePrompt: 'A warmly detailed European-style corner bakery storefront at early morning, viewed from the street at a slight angle, cream stone facade, striped awning, flower boxes, baskets of bread near the entrance, handwritten menu board, polished glass windows with crisp readable English typography. Main window text in elegant painted serif letters: \'MORNING CRUMB BAKERY\'. Smaller door sign text: \'OPEN 7 AM\'. Chalkboard menu text, neatly legible: \'sourdough\', \'butter croissant\', \'plum danish\', \'fig tart\'. Cozy golden sunlight, inviting atmosphere, realistic materials, refined composition, highly detailed food styling, natural reflections on glass, premium commercial photography look, clean layout, accurate spelling, no extra gibberish text.',
  negativePrompt: 'misspelled text, unreadable letters, distorted words, duplicate pastries, blurry image, warped storefront, extra limbs, people blocking the signs, low detail, oversaturated colors, messy composition, random symbols, watermark',
  width: 1024,
  height: 768,
  seed: 73347,
  steps: 28,
  scheduler: 'DPM++ 2M Karras',
  CFGScale: 7.5
})

import asyncio
import os

from runware import Runware


async def main():
    async with Runware(api_key=os.environ["RUNWARE_API_KEY"]) as client:
        results = await client.run({
            "model": "runware:108@1",
            "positivePrompt": "A warmly detailed European-style corner bakery storefront at early morning, viewed from the street at a slight angle, cream stone facade, striped awning, flower boxes, baskets of bread near the entrance, handwritten menu board, polished glass windows with crisp readable English typography. Main window text in elegant painted serif letters: 'MORNING CRUMB BAKERY'. Smaller door sign text: 'OPEN 7 AM'. Chalkboard menu text, neatly legible: 'sourdough', 'butter croissant', 'plum danish', 'fig tart'. Cozy golden sunlight, inviting atmosphere, realistic materials, refined composition, highly detailed food styling, natural reflections on glass, premium commercial photography look, clean layout, accurate spelling, no extra gibberish text.",
            "negativePrompt": "misspelled text, unreadable letters, distorted words, duplicate pastries, blurry image, warped storefront, extra limbs, people blocking the signs, low detail, oversaturated colors, messy composition, random symbols, watermark",
            "width": 1024,
            "height": 768,
            "seed": 73347,
            "steps": 28,
            "scheduler": "DPM++ 2M Karras",
            "CFGScale": 7.5
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "ddf77178-639c-48d8-9827-501a20948cf7",
      "model": "runware:108@1",
      "positivePrompt": "A warmly detailed European-style corner bakery storefront at early morning, viewed from the street at a slight angle, cream stone facade, striped awning, flower boxes, baskets of bread near the entrance, handwritten menu board, polished glass windows with crisp readable English typography. Main window text in elegant painted serif letters: 'MORNING CRUMB BAKERY'. Smaller door sign text: 'OPEN 7 AM'. Chalkboard menu text, neatly legible: 'sourdough', 'butter croissant', 'plum danish', 'fig tart'. Cozy golden sunlight, inviting atmosphere, realistic materials, refined composition, highly detailed food styling, natural reflections on glass, premium commercial photography look, clean layout, accurate spelling, no extra gibberish text.",
      "negativePrompt": "misspelled text, unreadable letters, distorted words, duplicate pastries, blurry image, warped storefront, extra limbs, people blocking the signs, low detail, oversaturated colors, messy composition, random symbols, watermark",
      "width": 1024,
      "height": 768,
      "seed": 73347,
      "steps": 28,
      "scheduler": "DPM++ 2M Karras",
      "CFGScale": 7.5
    }
  ]'

runware run runware:108@1 \
  positivePrompt="A warmly detailed European-style corner bakery storefront at early morning, viewed from the street at a slight angle, cream stone facade, striped awning, flower boxes, baskets of bread near the entrance, handwritten menu board, polished glass windows with crisp readable English typography. Main window text in elegant painted serif letters: 'MORNING CRUMB BAKERY'. Smaller door sign text: 'OPEN 7 AM'. Chalkboard menu text, neatly legible: 'sourdough', 'butter croissant', 'plum danish', 'fig tart'. Cozy golden sunlight, inviting atmosphere, realistic materials, refined composition, highly detailed food styling, natural reflections on glass, premium commercial photography look, clean layout, accurate spelling, no extra gibberish text." \
  negativePrompt="misspelled text, unreadable letters, distorted words, duplicate pastries, blurry image, warped storefront, extra limbs, people blocking the signs, low detail, oversaturated colors, messy composition, random symbols, watermark" \
  width=1024 \
  height=768 \
  seed=73347 \
  steps=28 \
  scheduler="DPM++ 2M Karras" \
  CFGScale=7.5

{
  "taskType": "imageInference",
  "taskUUID": "ddf77178-639c-48d8-9827-501a20948cf7",
  "model": "runware:108@1",
  "positivePrompt": "A warmly detailed European-style corner bakery storefront at early morning, viewed from the street at a slight angle, cream stone facade, striped awning, flower boxes, baskets of bread near the entrance, handwritten menu board, polished glass windows with crisp readable English typography. Main window text in elegant painted serif letters: 'MORNING CRUMB BAKERY'. Smaller door sign text: 'OPEN 7 AM'. Chalkboard menu text, neatly legible: 'sourdough', 'butter croissant', 'plum danish', 'fig tart'. Cozy golden sunlight, inviting atmosphere, realistic materials, refined composition, highly detailed food styling, natural reflections on glass, premium commercial photography look, clean layout, accurate spelling, no extra gibberish text.",
  "negativePrompt": "misspelled text, unreadable letters, distorted words, duplicate pastries, blurry image, warped storefront, extra limbs, people blocking the signs, low detail, oversaturated colors, messy composition, random symbols, watermark",
  "width": 1024,
  "height": 768,
  "seed": 73347,
  "steps": 28,
  "scheduler": "DPM++ 2M Karras",
  "CFGScale": 7.5
}