Z-Image-Turbo

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:z-image@turbo',
  positivePrompt: 'Photorealistic close-up of a compact tea vending kiosk inside a high-speed train cabin, matte white ceramic panels, walnut serving tray, clean touchscreen interface with precise bilingual typography. Top header displays exact text: \'云茶 23631\' and below it \'CLOUD TEA\'. The menu grid has four clearly separated buttons with exact labels: \'龙井 Longjing\', \'乌龙 Oolong\', \'普洱 Pu-erh\', \'茉莉 Jasmine\'. A small receipt slot is labeled exactly \'取票 PICK UP\'. Three cups on the tray have crisp printed labels: \'热 HOT\', \'温 WARM\', \'冰 ICED\'. Balanced product photography composition, soft daylight through the train window, realistic reflections, shallow depth of field, premium commercial finish, every character clean and readable.',
  negativePrompt: 'garbled text, misspelled words, extra letters, distorted characters, blurry signage, low resolution, warped interface, duplicate labels, crooked grid, smeared typography, deformed cups',
  width: 1024,
  height: 1024,
  seed: 23631,
  steps: 8,
  scheduler: 'Default'
})

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:z-image@turbo",
            "positivePrompt": "Photorealistic close-up of a compact tea vending kiosk inside a high-speed train cabin, matte white ceramic panels, walnut serving tray, clean touchscreen interface with precise bilingual typography. Top header displays exact text: '云茶 23631' and below it 'CLOUD TEA'. The menu grid has four clearly separated buttons with exact labels: '龙井 Longjing', '乌龙 Oolong', '普洱 Pu-erh', '茉莉 Jasmine'. A small receipt slot is labeled exactly '取票 PICK UP'. Three cups on the tray have crisp printed labels: '热 HOT', '温 WARM', '冰 ICED'. Balanced product photography composition, soft daylight through the train window, realistic reflections, shallow depth of field, premium commercial finish, every character clean and readable.",
            "negativePrompt": "garbled text, misspelled words, extra letters, distorted characters, blurry signage, low resolution, warped interface, duplicate labels, crooked grid, smeared typography, deformed cups",
            "width": 1024,
            "height": 1024,
            "seed": 23631,
            "steps": 8,
            "scheduler": "Default"
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "26c2f68c-aa0b-431c-8205-860151e9730f",
      "model": "runware:z-image@turbo",
      "positivePrompt": "Photorealistic close-up of a compact tea vending kiosk inside a high-speed train cabin, matte white ceramic panels, walnut serving tray, clean touchscreen interface with precise bilingual typography. Top header displays exact text: '云茶 23631' and below it 'CLOUD TEA'. The menu grid has four clearly separated buttons with exact labels: '龙井 Longjing', '乌龙 Oolong', '普洱 Pu-erh', '茉莉 Jasmine'. A small receipt slot is labeled exactly '取票 PICK UP'. Three cups on the tray have crisp printed labels: '热 HOT', '温 WARM', '冰 ICED'. Balanced product photography composition, soft daylight through the train window, realistic reflections, shallow depth of field, premium commercial finish, every character clean and readable.",
      "negativePrompt": "garbled text, misspelled words, extra letters, distorted characters, blurry signage, low resolution, warped interface, duplicate labels, crooked grid, smeared typography, deformed cups",
      "width": 1024,
      "height": 1024,
      "seed": 23631,
      "steps": 8,
      "scheduler": "Default"
    }
  ]'

runware run runware:z-image@turbo \
  positivePrompt="Photorealistic close-up of a compact tea vending kiosk inside a high-speed train cabin, matte white ceramic panels, walnut serving tray, clean touchscreen interface with precise bilingual typography. Top header displays exact text: '云茶 23631' and below it 'CLOUD TEA'. The menu grid has four clearly separated buttons with exact labels: '龙井 Longjing', '乌龙 Oolong', '普洱 Pu-erh', '茉莉 Jasmine'. A small receipt slot is labeled exactly '取票 PICK UP'. Three cups on the tray have crisp printed labels: '热 HOT', '温 WARM', '冰 ICED'. Balanced product photography composition, soft daylight through the train window, realistic reflections, shallow depth of field, premium commercial finish, every character clean and readable." \
  negativePrompt="garbled text, misspelled words, extra letters, distorted characters, blurry signage, low resolution, warped interface, duplicate labels, crooked grid, smeared typography, deformed cups" \
  width=1024 \
  height=1024 \
  seed=23631 \
  steps=8 \
  scheduler=Default

{
  "taskType": "imageInference",
  "taskUUID": "26c2f68c-aa0b-431c-8205-860151e9730f",
  "model": "runware:z-image@turbo",
  "positivePrompt": "Photorealistic close-up of a compact tea vending kiosk inside a high-speed train cabin, matte white ceramic panels, walnut serving tray, clean touchscreen interface with precise bilingual typography. Top header displays exact text: '云茶 23631' and below it 'CLOUD TEA'. The menu grid has four clearly separated buttons with exact labels: '龙井 Longjing', '乌龙 Oolong', '普洱 Pu-erh', '茉莉 Jasmine'. A small receipt slot is labeled exactly '取票 PICK UP'. Three cups on the tray have crisp printed labels: '热 HOT', '温 WARM', '冰 ICED'. Balanced product photography composition, soft daylight through the train window, realistic reflections, shallow depth of field, premium commercial finish, every character clean and readable.",
  "negativePrompt": "garbled text, misspelled words, extra letters, distorted characters, blurry signage, low resolution, warped interface, duplicate labels, crooked grid, smeared typography, deformed cups",
  "width": 1024,
  "height": 1024,
  "seed": 23631,
  "steps": 8,
  "scheduler": "Default"
}

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:z-image@turbo',
  positivePrompt: 'Photorealistic wide-angle interior of a secure underground botanical seed vault, pristine brushed-steel storage aisles, frosted glass climate chambers, warm white ceiling strips, orderly color-coded sample drawers, a calm cinematic mood, ultra sharp details. Center composition: a large overhead wayfinding sign with crisp readable text: "SEED VAULT 31646" and below it "种子库 31646". Left wall has three clearly separated zone panels reading "GRAIN ARCHIVE / 谷物档案", "ORCHID COLLECTION / 兰花收藏", and "RARE HERBS / 珍稀草本". Foreground workstation with transparent sample trays, barcode stickers, tiny printed labels, tablet showing a clean inventory grid, no people. Balanced symmetrical perspective, realistic reflections, shallow depth of field, premium scientific facility, accurate bilingual typography, clean sans serif lettering.',
  negativePrompt: 'blurry lettering, misspelled words, distorted signs, extra limbs, people, cluttered composition, low resolution, warped perspective, unreadable labels',
  width: 1344,
  height: 768,
  seed: 31646,
  steps: 8,
  scheduler: 'Default'
})

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:z-image@turbo",
            "positivePrompt": "Photorealistic wide-angle interior of a secure underground botanical seed vault, pristine brushed-steel storage aisles, frosted glass climate chambers, warm white ceiling strips, orderly color-coded sample drawers, a calm cinematic mood, ultra sharp details. Center composition: a large overhead wayfinding sign with crisp readable text: \"SEED VAULT 31646\" and below it \"种子库 31646\". Left wall has three clearly separated zone panels reading \"GRAIN ARCHIVE / 谷物档案\", \"ORCHID COLLECTION / 兰花收藏\", and \"RARE HERBS / 珍稀草本\". Foreground workstation with transparent sample trays, barcode stickers, tiny printed labels, tablet showing a clean inventory grid, no people. Balanced symmetrical perspective, realistic reflections, shallow depth of field, premium scientific facility, accurate bilingual typography, clean sans serif lettering.",
            "negativePrompt": "blurry lettering, misspelled words, distorted signs, extra limbs, people, cluttered composition, low resolution, warped perspective, unreadable labels",
            "width": 1344,
            "height": 768,
            "seed": 31646,
            "steps": 8,
            "scheduler": "Default"
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "7a0f528c-9a9f-4027-bf12-08288d6c4457",
      "model": "runware:z-image@turbo",
      "positivePrompt": "Photorealistic wide-angle interior of a secure underground botanical seed vault, pristine brushed-steel storage aisles, frosted glass climate chambers, warm white ceiling strips, orderly color-coded sample drawers, a calm cinematic mood, ultra sharp details. Center composition: a large overhead wayfinding sign with crisp readable text: \"SEED VAULT 31646\" and below it \"种子库 31646\". Left wall has three clearly separated zone panels reading \"GRAIN ARCHIVE / 谷物档案\", \"ORCHID COLLECTION / 兰花收藏\", and \"RARE HERBS / 珍稀草本\". Foreground workstation with transparent sample trays, barcode stickers, tiny printed labels, tablet showing a clean inventory grid, no people. Balanced symmetrical perspective, realistic reflections, shallow depth of field, premium scientific facility, accurate bilingual typography, clean sans serif lettering.",
      "negativePrompt": "blurry lettering, misspelled words, distorted signs, extra limbs, people, cluttered composition, low resolution, warped perspective, unreadable labels",
      "width": 1344,
      "height": 768,
      "seed": 31646,
      "steps": 8,
      "scheduler": "Default"
    }
  ]'

runware run runware:z-image@turbo \
  positivePrompt="Photorealistic wide-angle interior of a secure underground botanical seed vault, pristine brushed-steel storage aisles, frosted glass climate chambers, warm white ceiling strips, orderly color-coded sample drawers, a calm cinematic mood, ultra sharp details. Center composition: a large overhead wayfinding sign with crisp readable text: \"SEED VAULT 31646\" and below it \"种子库 31646\". Left wall has three clearly separated zone panels reading \"GRAIN ARCHIVE / 谷物档案\", \"ORCHID COLLECTION / 兰花收藏\", and \"RARE HERBS / 珍稀草本\". Foreground workstation with transparent sample trays, barcode stickers, tiny printed labels, tablet showing a clean inventory grid, no people. Balanced symmetrical perspective, realistic reflections, shallow depth of field, premium scientific facility, accurate bilingual typography, clean sans serif lettering." \
  negativePrompt="blurry lettering, misspelled words, distorted signs, extra limbs, people, cluttered composition, low resolution, warped perspective, unreadable labels" \
  width=1344 \
  height=768 \
  seed=31646 \
  steps=8 \
  scheduler=Default

{
  "taskType": "imageInference",
  "taskUUID": "7a0f528c-9a9f-4027-bf12-08288d6c4457",
  "model": "runware:z-image@turbo",
  "positivePrompt": "Photorealistic wide-angle interior of a secure underground botanical seed vault, pristine brushed-steel storage aisles, frosted glass climate chambers, warm white ceiling strips, orderly color-coded sample drawers, a calm cinematic mood, ultra sharp details. Center composition: a large overhead wayfinding sign with crisp readable text: \"SEED VAULT 31646\" and below it \"种子库 31646\". Left wall has three clearly separated zone panels reading \"GRAIN ARCHIVE / 谷物档案\", \"ORCHID COLLECTION / 兰花收藏\", and \"RARE HERBS / 珍稀草本\". Foreground workstation with transparent sample trays, barcode stickers, tiny printed labels, tablet showing a clean inventory grid, no people. Balanced symmetrical perspective, realistic reflections, shallow depth of field, premium scientific facility, accurate bilingual typography, clean sans serif lettering.",
  "negativePrompt": "blurry lettering, misspelled words, distorted signs, extra limbs, people, cluttered composition, low resolution, warped perspective, unreadable labels",
  "width": 1344,
  "height": 768,
  "seed": 31646,
  "steps": 8,
  "scheduler": "Default"
}

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:z-image@turbo',
  positivePrompt: 'Photorealistic interior of a compact alpine rescue command vehicle during a snowstorm, wide cinematic view of a rugged dashboard filled with neatly arranged screens, radios, laminated route cards, gloves, thermos, snow gear, and frost on the windshield. The main center screen shows a clean emergency map UI with crisp bilingual labels: “安全路线 SAFE ROUTE”, “队伍A TEAM A”, “医疗点 MEDICAL POINT”, “氧气 82%”, “信号稳定 SIGNAL OK”. A side tablet displays a checklist titled “救援步骤 RESCUE STEPS” with numbered items 1, 2, 3. Realistic LED glow, tactile buttons, believable cables, brushed metal, cold blue-white exterior light, warm cabin lighting, shallow depth of field, high detail, sharp readable text, documentary photography style.',
  width: 1344,
  height: 768,
  seed: 53696,
  steps: 8,
  scheduler: 'Euler'
})

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:z-image@turbo",
            "positivePrompt": "Photorealistic interior of a compact alpine rescue command vehicle during a snowstorm, wide cinematic view of a rugged dashboard filled with neatly arranged screens, radios, laminated route cards, gloves, thermos, snow gear, and frost on the windshield. The main center screen shows a clean emergency map UI with crisp bilingual labels: “安全路线 SAFE ROUTE”, “队伍A TEAM A”, “医疗点 MEDICAL POINT”, “氧气 82%”, “信号稳定 SIGNAL OK”. A side tablet displays a checklist titled “救援步骤 RESCUE STEPS” with numbered items 1, 2, 3. Realistic LED glow, tactile buttons, believable cables, brushed metal, cold blue-white exterior light, warm cabin lighting, shallow depth of field, high detail, sharp readable text, documentary photography style.",
            "width": 1344,
            "height": 768,
            "seed": 53696,
            "steps": 8,
            "scheduler": "Euler"
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "db6de7fc-95ed-4c14-b3fb-59efa07e52e2",
      "model": "runware:z-image@turbo",
      "positivePrompt": "Photorealistic interior of a compact alpine rescue command vehicle during a snowstorm, wide cinematic view of a rugged dashboard filled with neatly arranged screens, radios, laminated route cards, gloves, thermos, snow gear, and frost on the windshield. The main center screen shows a clean emergency map UI with crisp bilingual labels: “安全路线 SAFE ROUTE”, “队伍A TEAM A”, “医疗点 MEDICAL POINT”, “氧气 82%”, “信号稳定 SIGNAL OK”. A side tablet displays a checklist titled “救援步骤 RESCUE STEPS” with numbered items 1, 2, 3. Realistic LED glow, tactile buttons, believable cables, brushed metal, cold blue-white exterior light, warm cabin lighting, shallow depth of field, high detail, sharp readable text, documentary photography style.",
      "width": 1344,
      "height": 768,
      "seed": 53696,
      "steps": 8,
      "scheduler": "Euler"
    }
  ]'

runware run runware:z-image@turbo \
  positivePrompt="Photorealistic interior of a compact alpine rescue command vehicle during a snowstorm, wide cinematic view of a rugged dashboard filled with neatly arranged screens, radios, laminated route cards, gloves, thermos, snow gear, and frost on the windshield. The main center screen shows a clean emergency map UI with crisp bilingual labels: “安全路线 SAFE ROUTE”, “队伍A TEAM A”, “医疗点 MEDICAL POINT”, “氧气 82%”, “信号稳定 SIGNAL OK”. A side tablet displays a checklist titled “救援步骤 RESCUE STEPS” with numbered items 1, 2, 3. Realistic LED glow, tactile buttons, believable cables, brushed metal, cold blue-white exterior light, warm cabin lighting, shallow depth of field, high detail, sharp readable text, documentary photography style." \
  width=1344 \
  height=768 \
  seed=53696 \
  steps=8 \
  scheduler=Euler

{
  "taskType": "imageInference",
  "taskUUID": "db6de7fc-95ed-4c14-b3fb-59efa07e52e2",
  "model": "runware:z-image@turbo",
  "positivePrompt": "Photorealistic interior of a compact alpine rescue command vehicle during a snowstorm, wide cinematic view of a rugged dashboard filled with neatly arranged screens, radios, laminated route cards, gloves, thermos, snow gear, and frost on the windshield. The main center screen shows a clean emergency map UI with crisp bilingual labels: “安全路线 SAFE ROUTE”, “队伍A TEAM A”, “医疗点 MEDICAL POINT”, “氧气 82%”, “信号稳定 SIGNAL OK”. A side tablet displays a checklist titled “救援步骤 RESCUE STEPS” with numbered items 1, 2, 3. Realistic LED glow, tactile buttons, believable cables, brushed metal, cold blue-white exterior light, warm cabin lighting, shallow depth of field, high detail, sharp readable text, documentary photography style.",
  "width": 1344,
  "height": 768,
  "seed": 53696,
  "steps": 8,
  "scheduler": "Euler"
}

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:z-image@turbo',
  positivePrompt: 'Photorealistic cleanroom sushi quality-control station, stainless steel conveyor carrying neatly arranged nigiri trays, compact robotic arms with tiny cameras scanning rice texture and fish color, a large glass touchscreen centered in the foreground with crisp bilingual interface text. Screen layout: top header reads exactly "寿司质检 / SUSHI QC"; left panel reads "温度 4°C / TEMP 4°C"; center panel reads "合格 / PASS" in green; right panel reads "批次 A-77038 / LOT A-77038"; bottom strip reads "新鲜度 98% / FRESHNESS 98%". Bright clinical lighting, subtle reflections on metal, shallow depth of field, realistic materials, precise readable typography, modern Japanese food lab atmosphere, clean composition, high detail.',
  negativePrompt: 'blurry text, misspelled labels, incorrect Chinese characters, scrambled letters, extra words, distorted UI, low resolution, messy layout, cartoon style, plastic-looking food, deformed robot arms, harsh glare covering the screen',
  width: 1216,
  height: 768,
  seed: 77038,
  steps: 8,
  scheduler: 'Default'
})

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:z-image@turbo",
            "positivePrompt": "Photorealistic cleanroom sushi quality-control station, stainless steel conveyor carrying neatly arranged nigiri trays, compact robotic arms with tiny cameras scanning rice texture and fish color, a large glass touchscreen centered in the foreground with crisp bilingual interface text. Screen layout: top header reads exactly \"寿司质检 / SUSHI QC\"; left panel reads \"温度 4°C / TEMP 4°C\"; center panel reads \"合格 / PASS\" in green; right panel reads \"批次 A-77038 / LOT A-77038\"; bottom strip reads \"新鲜度 98% / FRESHNESS 98%\". Bright clinical lighting, subtle reflections on metal, shallow depth of field, realistic materials, precise readable typography, modern Japanese food lab atmosphere, clean composition, high detail.",
            "negativePrompt": "blurry text, misspelled labels, incorrect Chinese characters, scrambled letters, extra words, distorted UI, low resolution, messy layout, cartoon style, plastic-looking food, deformed robot arms, harsh glare covering the screen",
            "width": 1216,
            "height": 768,
            "seed": 77038,
            "steps": 8,
            "scheduler": "Default"
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "bc82e102-8676-46db-ae34-0d38b903d686",
      "model": "runware:z-image@turbo",
      "positivePrompt": "Photorealistic cleanroom sushi quality-control station, stainless steel conveyor carrying neatly arranged nigiri trays, compact robotic arms with tiny cameras scanning rice texture and fish color, a large glass touchscreen centered in the foreground with crisp bilingual interface text. Screen layout: top header reads exactly \"寿司质检 / SUSHI QC\"; left panel reads \"温度 4°C / TEMP 4°C\"; center panel reads \"合格 / PASS\" in green; right panel reads \"批次 A-77038 / LOT A-77038\"; bottom strip reads \"新鲜度 98% / FRESHNESS 98%\". Bright clinical lighting, subtle reflections on metal, shallow depth of field, realistic materials, precise readable typography, modern Japanese food lab atmosphere, clean composition, high detail.",
      "negativePrompt": "blurry text, misspelled labels, incorrect Chinese characters, scrambled letters, extra words, distorted UI, low resolution, messy layout, cartoon style, plastic-looking food, deformed robot arms, harsh glare covering the screen",
      "width": 1216,
      "height": 768,
      "seed": 77038,
      "steps": 8,
      "scheduler": "Default"
    }
  ]'

runware run runware:z-image@turbo \
  positivePrompt="Photorealistic cleanroom sushi quality-control station, stainless steel conveyor carrying neatly arranged nigiri trays, compact robotic arms with tiny cameras scanning rice texture and fish color, a large glass touchscreen centered in the foreground with crisp bilingual interface text. Screen layout: top header reads exactly \"寿司质检 / SUSHI QC\"; left panel reads \"温度 4°C / TEMP 4°C\"; center panel reads \"合格 / PASS\" in green; right panel reads \"批次 A-77038 / LOT A-77038\"; bottom strip reads \"新鲜度 98% / FRESHNESS 98%\". Bright clinical lighting, subtle reflections on metal, shallow depth of field, realistic materials, precise readable typography, modern Japanese food lab atmosphere, clean composition, high detail." \
  negativePrompt="blurry text, misspelled labels, incorrect Chinese characters, scrambled letters, extra words, distorted UI, low resolution, messy layout, cartoon style, plastic-looking food, deformed robot arms, harsh glare covering the screen" \
  width=1216 \
  height=768 \
  seed=77038 \
  steps=8 \
  scheduler=Default

{
  "taskType": "imageInference",
  "taskUUID": "bc82e102-8676-46db-ae34-0d38b903d686",
  "model": "runware:z-image@turbo",
  "positivePrompt": "Photorealistic cleanroom sushi quality-control station, stainless steel conveyor carrying neatly arranged nigiri trays, compact robotic arms with tiny cameras scanning rice texture and fish color, a large glass touchscreen centered in the foreground with crisp bilingual interface text. Screen layout: top header reads exactly \"寿司质检 / SUSHI QC\"; left panel reads \"温度 4°C / TEMP 4°C\"; center panel reads \"合格 / PASS\" in green; right panel reads \"批次 A-77038 / LOT A-77038\"; bottom strip reads \"新鲜度 98% / FRESHNESS 98%\". Bright clinical lighting, subtle reflections on metal, shallow depth of field, realistic materials, precise readable typography, modern Japanese food lab atmosphere, clean composition, high detail.",
  "negativePrompt": "blurry text, misspelled labels, incorrect Chinese characters, scrambled letters, extra words, distorted UI, low resolution, messy layout, cartoon style, plastic-looking food, deformed robot arms, harsh glare covering the screen",
  "width": 1216,
  "height": 768,
  "seed": 77038,
  "steps": 8,
  "scheduler": "Default"
}