Qwen3-TTS 1.7B VoiceDesign

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'alibaba:qwen@3-tts-1.7b-voicedesign',
  positivePrompt: 'A composed female voice in her late forties with a low, clear alto timbre and a subtle Scandinavian English accent. Precise consonants, measured pacing, and calm authority suited to a municipal infrastructure film. Sound practical and trustworthy rather than promotional, with restrained urgency on risks and a warmer, optimistic lift when describing outcomes.',
  speech: {
    text: 'A hidden water-main leak can run for months before it reaches the surface. By then, treated water is lost, roads are damaged, and repairs become emergencies. Continuous acoustic monitoring listens for the distinctive signal of escaping water, then helps crews narrow the search before they excavate. The result is earlier detection, fewer unnecessary roadworks, and maintenance planned around the city—not the crisis.',
    voice: 'design',
    language: 'English',
    speed: 0.96
  }
})

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": "alibaba:qwen@3-tts-1.7b-voicedesign",
            "positivePrompt": "A composed female voice in her late forties with a low, clear alto timbre and a subtle Scandinavian English accent. Precise consonants, measured pacing, and calm authority suited to a municipal infrastructure film. Sound practical and trustworthy rather than promotional, with restrained urgency on risks and a warmer, optimistic lift when describing outcomes.",
            "speech": {
                "text": "A hidden water-main leak can run for months before it reaches the surface. By then, treated water is lost, roads are damaged, and repairs become emergencies. Continuous acoustic monitoring listens for the distinctive signal of escaping water, then helps crews narrow the search before they excavate. The result is earlier detection, fewer unnecessary roadworks, and maintenance planned around the city—not the crisis.",
                "voice": "design",
                "language": "English",
                "speed": 0.96
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "audioInference",
      "taskUUID": "b66c6f62-24db-4e85-91f8-315c0622e7c1",
      "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
      "positivePrompt": "A composed female voice in her late forties with a low, clear alto timbre and a subtle Scandinavian English accent. Precise consonants, measured pacing, and calm authority suited to a municipal infrastructure film. Sound practical and trustworthy rather than promotional, with restrained urgency on risks and a warmer, optimistic lift when describing outcomes.",
      "speech": {
        "text": "A hidden water-main leak can run for months before it reaches the surface. By then, treated water is lost, roads are damaged, and repairs become emergencies. Continuous acoustic monitoring listens for the distinctive signal of escaping water, then helps crews narrow the search before they excavate. The result is earlier detection, fewer unnecessary roadworks, and maintenance planned around the city—not the crisis.",
        "voice": "design",
        "language": "English",
        "speed": 0.96
      }
    }
  ]'

runware run alibaba:qwen@3-tts-1.7b-voicedesign \
  positivePrompt="A composed female voice in her late forties with a low, clear alto timbre and a subtle Scandinavian English accent. Precise consonants, measured pacing, and calm authority suited to a municipal infrastructure film. Sound practical and trustworthy rather than promotional, with restrained urgency on risks and a warmer, optimistic lift when describing outcomes." \
  speech.text="A hidden water-main leak can run for months before it reaches the surface. By then, treated water is lost, roads are damaged, and repairs become emergencies. Continuous acoustic monitoring listens for the distinctive signal of escaping water, then helps crews narrow the search before they excavate. The result is earlier detection, fewer unnecessary roadworks, and maintenance planned around the city—not the crisis." \
  speech.voice=design \
  speech.language=English \
  speech.speed=0.96

{
  "taskType": "audioInference",
  "taskUUID": "b66c6f62-24db-4e85-91f8-315c0622e7c1",
  "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
  "positivePrompt": "A composed female voice in her late forties with a low, clear alto timbre and a subtle Scandinavian English accent. Precise consonants, measured pacing, and calm authority suited to a municipal infrastructure film. Sound practical and trustworthy rather than promotional, with restrained urgency on risks and a warmer, optimistic lift when describing outcomes.",
  "speech": {
    "text": "A hidden water-main leak can run for months before it reaches the surface. By then, treated water is lost, roads are damaged, and repairs become emergencies. Continuous acoustic monitoring listens for the distinctive signal of escaping water, then helps crews narrow the search before they excavate. The result is earlier detection, fewer unnecessary roadworks, and maintenance planned around the city—not the crisis.",
    "voice": "design",
    "language": "English",
    "speed": 0.96
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'alibaba:qwen@3-tts-1.7b-voicedesign',
  positivePrompt: 'A composed middle-aged Taiwanese woman speaking international English with a subtle Mandarin accent. Low mezzo timbre, restrained authority, immaculate consonants, measured procedural pacing, brief natural pauses, and a cool yet reassuring emotional tone. Precise and professional, never theatrical.',
  speech: {
    text: 'Attention, photolithography team. Bay twelve is entering ultraviolet calibration. Confirm visor seals before crossing the amber line. Automated carriers have priority in the east corridor. Particle count remains within tolerance. Resume wafer transfer when the blue beacon is steady.',
    voice: 'design',
    language: 'English'
  }
})

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": "alibaba:qwen@3-tts-1.7b-voicedesign",
            "positivePrompt": "A composed middle-aged Taiwanese woman speaking international English with a subtle Mandarin accent. Low mezzo timbre, restrained authority, immaculate consonants, measured procedural pacing, brief natural pauses, and a cool yet reassuring emotional tone. Precise and professional, never theatrical.",
            "speech": {
                "text": "Attention, photolithography team. Bay twelve is entering ultraviolet calibration. Confirm visor seals before crossing the amber line. Automated carriers have priority in the east corridor. Particle count remains within tolerance. Resume wafer transfer when the blue beacon is steady.",
                "voice": "design",
                "language": "English"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "audioInference",
      "taskUUID": "247d977d-cb20-4fd4-aa99-3199dc7ad041",
      "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
      "positivePrompt": "A composed middle-aged Taiwanese woman speaking international English with a subtle Mandarin accent. Low mezzo timbre, restrained authority, immaculate consonants, measured procedural pacing, brief natural pauses, and a cool yet reassuring emotional tone. Precise and professional, never theatrical.",
      "speech": {
        "text": "Attention, photolithography team. Bay twelve is entering ultraviolet calibration. Confirm visor seals before crossing the amber line. Automated carriers have priority in the east corridor. Particle count remains within tolerance. Resume wafer transfer when the blue beacon is steady.",
        "voice": "design",
        "language": "English"
      }
    }
  ]'

runware run alibaba:qwen@3-tts-1.7b-voicedesign \
  positivePrompt="A composed middle-aged Taiwanese woman speaking international English with a subtle Mandarin accent. Low mezzo timbre, restrained authority, immaculate consonants, measured procedural pacing, brief natural pauses, and a cool yet reassuring emotional tone. Precise and professional, never theatrical." \
  speech.text="Attention, photolithography team. Bay twelve is entering ultraviolet calibration. Confirm visor seals before crossing the amber line. Automated carriers have priority in the east corridor. Particle count remains within tolerance. Resume wafer transfer when the blue beacon is steady." \
  speech.voice=design \
  speech.language=English

{
  "taskType": "audioInference",
  "taskUUID": "247d977d-cb20-4fd4-aa99-3199dc7ad041",
  "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
  "positivePrompt": "A composed middle-aged Taiwanese woman speaking international English with a subtle Mandarin accent. Low mezzo timbre, restrained authority, immaculate consonants, measured procedural pacing, brief natural pauses, and a cool yet reassuring emotional tone. Precise and professional, never theatrical.",
  "speech": {
    "text": "Attention, photolithography team. Bay twelve is entering ultraviolet calibration. Confirm visor seals before crossing the amber line. Automated carriers have priority in the east corridor. Particle count remains within tolerance. Resume wafer transfer when the blue beacon is steady.",
    "voice": "design",
    "language": "English"
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'alibaba:qwen@3-tts-1.7b-voicedesign',
  positivePrompt: 'A woman in her late forties with a low, clear alto and a subtle west-coast Scottish accent. Calm, credible, and scientifically precise, with the grounded confidence of an experienced marine biologist rather than a commercial announcer. Measured pacing, crisp technical pronunciation, restrained urgency in the opening, and a gently optimistic lift toward the close.',
  speech: {
    text: 'By the time harmful organisms are visible, a shellfish crop may already be at risk. TideTrace detects environmental DNA in routine water samples, revealing emerging threats days earlier than visual checks alone. Farm teams receive a clear risk summary, location data, and practical next steps—without installing new equipment offshore. Earlier warning means more time to adjust intake, protect vulnerable stock, and document every decision. TideTrace turns a bottle of seawater into a clearer plan for the week ahead.',
    voice: 'design',
    language: 'English'
  }
})

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": "alibaba:qwen@3-tts-1.7b-voicedesign",
            "positivePrompt": "A woman in her late forties with a low, clear alto and a subtle west-coast Scottish accent. Calm, credible, and scientifically precise, with the grounded confidence of an experienced marine biologist rather than a commercial announcer. Measured pacing, crisp technical pronunciation, restrained urgency in the opening, and a gently optimistic lift toward the close.",
            "speech": {
                "text": "By the time harmful organisms are visible, a shellfish crop may already be at risk. TideTrace detects environmental DNA in routine water samples, revealing emerging threats days earlier than visual checks alone. Farm teams receive a clear risk summary, location data, and practical next steps—without installing new equipment offshore. Earlier warning means more time to adjust intake, protect vulnerable stock, and document every decision. TideTrace turns a bottle of seawater into a clearer plan for the week ahead.",
                "voice": "design",
                "language": "English"
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "audioInference",
      "taskUUID": "84e865ab-7863-4a78-b6dd-54cb300bcaef",
      "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
      "positivePrompt": "A woman in her late forties with a low, clear alto and a subtle west-coast Scottish accent. Calm, credible, and scientifically precise, with the grounded confidence of an experienced marine biologist rather than a commercial announcer. Measured pacing, crisp technical pronunciation, restrained urgency in the opening, and a gently optimistic lift toward the close.",
      "speech": {
        "text": "By the time harmful organisms are visible, a shellfish crop may already be at risk. TideTrace detects environmental DNA in routine water samples, revealing emerging threats days earlier than visual checks alone. Farm teams receive a clear risk summary, location data, and practical next steps—without installing new equipment offshore. Earlier warning means more time to adjust intake, protect vulnerable stock, and document every decision. TideTrace turns a bottle of seawater into a clearer plan for the week ahead.",
        "voice": "design",
        "language": "English"
      }
    }
  ]'

runware run alibaba:qwen@3-tts-1.7b-voicedesign \
  positivePrompt="A woman in her late forties with a low, clear alto and a subtle west-coast Scottish accent. Calm, credible, and scientifically precise, with the grounded confidence of an experienced marine biologist rather than a commercial announcer. Measured pacing, crisp technical pronunciation, restrained urgency in the opening, and a gently optimistic lift toward the close." \
  speech.text="By the time harmful organisms are visible, a shellfish crop may already be at risk. TideTrace detects environmental DNA in routine water samples, revealing emerging threats days earlier than visual checks alone. Farm teams receive a clear risk summary, location data, and practical next steps—without installing new equipment offshore. Earlier warning means more time to adjust intake, protect vulnerable stock, and document every decision. TideTrace turns a bottle of seawater into a clearer plan for the week ahead." \
  speech.voice=design \
  speech.language=English

{
  "taskType": "audioInference",
  "taskUUID": "84e865ab-7863-4a78-b6dd-54cb300bcaef",
  "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
  "positivePrompt": "A woman in her late forties with a low, clear alto and a subtle west-coast Scottish accent. Calm, credible, and scientifically precise, with the grounded confidence of an experienced marine biologist rather than a commercial announcer. Measured pacing, crisp technical pronunciation, restrained urgency in the opening, and a gently optimistic lift toward the close.",
  "speech": {
    "text": "By the time harmful organisms are visible, a shellfish crop may already be at risk. TideTrace detects environmental DNA in routine water samples, revealing emerging threats days earlier than visual checks alone. Farm teams receive a clear risk summary, location data, and practical next steps—without installing new equipment offshore. Earlier warning means more time to adjust intake, protect vulnerable stock, and document every decision. TideTrace turns a bottle of seawater into a clearer plan for the week ahead.",
    "voice": "design",
    "language": "English"
  }
}

import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'alibaba:qwen@3-tts-1.7b-voicedesign',
  positivePrompt: 'A mature feminine contralto with a subtle South African English accent and the calm authority of an experienced forensic lecturer. Low, lightly textured timbre; measured pacing; crisp scientific diction; restrained seriousness; and brief, purposeful pauses between procedural steps. Clear and instructive rather than theatrical, with quiet emphasis on cautions and key terms.',
  speech: {
    text: 'Insect evidence can help estimate a minimum postmortem interval, but only when the scene is documented before specimens are disturbed. Begin by photographing visible larvae, pupae, and adult insects in place. Record ambient temperature, ground temperature, and the temperature inside the largest larval mass. Next, collect specimens from several locations on and beneath the remains. Preserve one sample immediately, and keep a second sample alive with a small amount of tissue for rearing. Never rely on size alone to identify a larval stage. Species, temperature, and access to the remains all affect development. Your final estimate must combine laboratory identification with weather records and scene conditions.',
    voice: 'design',
    language: 'English',
    speed: 0.92
  }
})

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": "alibaba:qwen@3-tts-1.7b-voicedesign",
            "positivePrompt": "A mature feminine contralto with a subtle South African English accent and the calm authority of an experienced forensic lecturer. Low, lightly textured timbre; measured pacing; crisp scientific diction; restrained seriousness; and brief, purposeful pauses between procedural steps. Clear and instructive rather than theatrical, with quiet emphasis on cautions and key terms.",
            "speech": {
                "text": "Insect evidence can help estimate a minimum postmortem interval, but only when the scene is documented before specimens are disturbed. Begin by photographing visible larvae, pupae, and adult insects in place. Record ambient temperature, ground temperature, and the temperature inside the largest larval mass. Next, collect specimens from several locations on and beneath the remains. Preserve one sample immediately, and keep a second sample alive with a small amount of tissue for rearing. Never rely on size alone to identify a larval stage. Species, temperature, and access to the remains all affect development. Your final estimate must combine laboratory identification with weather records and scene conditions.",
                "voice": "design",
                "language": "English",
                "speed": 0.92
            }
        })


asyncio.run(main())

curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "audioInference",
      "taskUUID": "3109d85b-e3cb-4482-ac67-e677f7b713ff",
      "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
      "positivePrompt": "A mature feminine contralto with a subtle South African English accent and the calm authority of an experienced forensic lecturer. Low, lightly textured timbre; measured pacing; crisp scientific diction; restrained seriousness; and brief, purposeful pauses between procedural steps. Clear and instructive rather than theatrical, with quiet emphasis on cautions and key terms.",
      "speech": {
        "text": "Insect evidence can help estimate a minimum postmortem interval, but only when the scene is documented before specimens are disturbed. Begin by photographing visible larvae, pupae, and adult insects in place. Record ambient temperature, ground temperature, and the temperature inside the largest larval mass. Next, collect specimens from several locations on and beneath the remains. Preserve one sample immediately, and keep a second sample alive with a small amount of tissue for rearing. Never rely on size alone to identify a larval stage. Species, temperature, and access to the remains all affect development. Your final estimate must combine laboratory identification with weather records and scene conditions.",
        "voice": "design",
        "language": "English",
        "speed": 0.92
      }
    }
  ]'

runware run alibaba:qwen@3-tts-1.7b-voicedesign \
  positivePrompt="A mature feminine contralto with a subtle South African English accent and the calm authority of an experienced forensic lecturer. Low, lightly textured timbre; measured pacing; crisp scientific diction; restrained seriousness; and brief, purposeful pauses between procedural steps. Clear and instructive rather than theatrical, with quiet emphasis on cautions and key terms." \
  speech.text="Insect evidence can help estimate a minimum postmortem interval, but only when the scene is documented before specimens are disturbed. Begin by photographing visible larvae, pupae, and adult insects in place. Record ambient temperature, ground temperature, and the temperature inside the largest larval mass. Next, collect specimens from several locations on and beneath the remains. Preserve one sample immediately, and keep a second sample alive with a small amount of tissue for rearing. Never rely on size alone to identify a larval stage. Species, temperature, and access to the remains all affect development. Your final estimate must combine laboratory identification with weather records and scene conditions." \
  speech.voice=design \
  speech.language=English \
  speech.speed=0.92

{
  "taskType": "audioInference",
  "taskUUID": "3109d85b-e3cb-4482-ac67-e677f7b713ff",
  "model": "alibaba:qwen@3-tts-1.7b-voicedesign",
  "positivePrompt": "A mature feminine contralto with a subtle South African English accent and the calm authority of an experienced forensic lecturer. Low, lightly textured timbre; measured pacing; crisp scientific diction; restrained seriousness; and brief, purposeful pauses between procedural steps. Clear and instructive rather than theatrical, with quiet emphasis on cautions and key terms.",
  "speech": {
    "text": "Insect evidence can help estimate a minimum postmortem interval, but only when the scene is documented before specimens are disturbed. Begin by photographing visible larvae, pupae, and adult insects in place. Record ambient temperature, ground temperature, and the temperature inside the largest larval mass. Next, collect specimens from several locations on and beneath the remains. Preserve one sample immediately, and keep a second sample alive with a small amount of tissue for rearing. Never rely on size alone to identify a larval stage. Species, temperature, and access to the remains all affect development. Your final estimate must combine laboratory identification with weather records and scene conditions.",
    "voice": "design",
    "language": "English",
    "speed": 0.92
  }
}