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MODEL IDtencent:hunyuan-3d@3.1-rapid
Try in Playground

Hunyuan 3D 3.1 Rapid

Hunyuan 3D 3.1 Rapid is a speed-optimized 3D generation model from Tencent designed for fast prototyping and iteration. It generates 3D assets from text prompts or single images in seconds, producing clean meshes with PBR materials. Ideal for concept evaluation, rapid asset library building, and early-stage design workflows where speed is prioritized over maximum geometric detail.

Hunyuan 3D 3.1 Rapid

text-to-3d

Touring Opera Storm Machine Set$0.225~1m 47s
Try in Playground
import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'tencent:hunyuan-3d@3.1-rapid',
  positivePrompt: 'Single freestanding touring-opera storm machine set piece: circular copper thunder drum on charred oak rolling scaffold, spiral stairs, rain chains, footlights; complete 360° geometry, PBR.',
  settings: {
    geometryOnly: false,
    pbr: false
  }
})
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": "tencent:hunyuan-3d@3.1-rapid",
            "positivePrompt": "Single freestanding touring-opera storm machine set piece: circular copper thunder drum on charred oak rolling scaffold, spiral stairs, rain chains, footlights; complete 360° geometry, PBR.",
            "settings": {
                "geometryOnly": False,
                "pbr": False
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "3dInference",
      "taskUUID": "e82066fa-dbc7-46ac-9c5c-917435b3279c",
      "model": "tencent:hunyuan-3d@3.1-rapid",
      "positivePrompt": "Single freestanding touring-opera storm machine set piece: circular copper thunder drum on charred oak rolling scaffold, spiral stairs, rain chains, footlights; complete 360° geometry, PBR.",
      "settings": {
        "geometryOnly": false,
        "pbr": false
      }
    }
  ]'
runware run tencent:hunyuan-3d@3.1-rapid \
  positivePrompt="Single freestanding touring-opera storm machine set piece: circular copper thunder drum on charred oak rolling scaffold, spiral stairs, rain chains, footlights; complete 360° geometry, PBR." \
  settings.geometryOnly=false \
  settings.pbr=false
{
  "taskType": "3dInference",
  "taskUUID": "e82066fa-dbc7-46ac-9c5c-917435b3279c",
  "model": "tencent:hunyuan-3d@3.1-rapid",
  "positivePrompt": "Single freestanding touring-opera storm machine set piece: circular copper thunder drum on charred oak rolling scaffold, spiral stairs, rain chains, footlights; complete 360° geometry, PBR.",
  "settings": {
    "geometryOnly": false,
    "pbr": false
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "e82066fa-dbc7-46ac-9c5c-917435b3279c",
  "seed": 1045214216,
  "cost": 0.225,
  "outputs": {
    "files": [
      {
        "uuid": "ffc34675-6504-4561-86e2-604a31253e0d",
        "url": "https://im.runware.ai/image/os/a09dlim3/ws/5/ii/ffc34675-6504-4561-86e2-604a31253e0d.glb"
      }
    ]
  }
}

image-to-3d

Abyssal Salvage Sonar Beacon$0.225~1m 2s
Try in Playground
import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'tencent:hunyuan-3d@3.1-rapid',
  settings: {
    geometryOnly: false,
    pbr: false
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/4d7127ad-38a0-45d7-9721-08a52f989db8.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": "tencent:hunyuan-3d@3.1-rapid",
            "settings": {
                "geometryOnly": False,
                "pbr": False
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/4d7127ad-38a0-45d7-9721-08a52f989db8.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "3dInference",
      "taskUUID": "5584715d-3f29-4eab-aa4b-adf80422a002",
      "model": "tencent:hunyuan-3d@3.1-rapid",
      "settings": {
        "geometryOnly": false,
        "pbr": false
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/4d7127ad-38a0-45d7-9721-08a52f989db8.jpg"
      }
    }
  ]'
runware run tencent:hunyuan-3d@3.1-rapid \
  settings.geometryOnly=false \
  settings.pbr=false \
  inputs.image=https://assets.runware.ai/assets/inputs/4d7127ad-38a0-45d7-9721-08a52f989db8.jpg
{
  "taskType": "3dInference",
  "taskUUID": "5584715d-3f29-4eab-aa4b-adf80422a002",
  "model": "tencent:hunyuan-3d@3.1-rapid",
  "settings": {
    "geometryOnly": false,
    "pbr": false
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/4d7127ad-38a0-45d7-9721-08a52f989db8.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "5584715d-3f29-4eab-aa4b-adf80422a002",
  "seed": 1153104280,
  "cost": 0.225,
  "outputs": {
    "files": [
      {
        "uuid": "d708de09-2cc1-4dfe-8511-d2fa25393f28",
        "url": "https://im.runware.ai/image/os/a06dlim3/ws/5/ii/d708de09-2cc1-4dfe-8511-d2fa25393f28.glb"
      }
    ]
  }
}

text-to-3d-pbr

1970s Pool Admissions Kiosk$0.375~1m 11s
Try in Playground
import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'tencent:hunyuan-3d@3.1-rapid',
  positivePrompt: 'Freestanding 1970s pool admissions kiosk, complete 360° geometry; cream glazed tile, teal painted concrete, brushed steel turnstile, amber glass, ribbed rubber, orange laminate counter.',
  settings: {
    geometryOnly: false,
    pbr: true
  }
})
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": "tencent:hunyuan-3d@3.1-rapid",
            "positivePrompt": "Freestanding 1970s pool admissions kiosk, complete 360° geometry; cream glazed tile, teal painted concrete, brushed steel turnstile, amber glass, ribbed rubber, orange laminate counter.",
            "settings": {
                "geometryOnly": False,
                "pbr": True
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "3dInference",
      "taskUUID": "0775a8a4-65f2-42a8-a109-fe5033689c7f",
      "model": "tencent:hunyuan-3d@3.1-rapid",
      "positivePrompt": "Freestanding 1970s pool admissions kiosk, complete 360° geometry; cream glazed tile, teal painted concrete, brushed steel turnstile, amber glass, ribbed rubber, orange laminate counter.",
      "settings": {
        "geometryOnly": false,
        "pbr": true
      }
    }
  ]'
runware run tencent:hunyuan-3d@3.1-rapid \
  positivePrompt="Freestanding 1970s pool admissions kiosk, complete 360° geometry; cream glazed tile, teal painted concrete, brushed steel turnstile, amber glass, ribbed rubber, orange laminate counter." \
  settings.geometryOnly=false \
  settings.pbr=true
{
  "taskType": "3dInference",
  "taskUUID": "0775a8a4-65f2-42a8-a109-fe5033689c7f",
  "model": "tencent:hunyuan-3d@3.1-rapid",
  "positivePrompt": "Freestanding 1970s pool admissions kiosk, complete 360° geometry; cream glazed tile, teal painted concrete, brushed steel turnstile, amber glass, ribbed rubber, orange laminate counter.",
  "settings": {
    "geometryOnly": false,
    "pbr": true
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "0775a8a4-65f2-42a8-a109-fe5033689c7f",
  "seed": 1303966927,
  "cost": 0.375,
  "outputs": {
    "files": [
      {
        "uuid": "20fe897f-6adc-4b4a-a7ce-6c2fd313d9d0",
        "url": "https://im.runware.ai/image/os/a04d20/ws/5/ii/20fe897f-6adc-4b4a-a7ce-6c2fd313d9d0.glb"
      }
    ]
  }
}

text-to-3d-geometry-only

Soil Museum Mole Mascot$0.225~20s
Try in Playground
import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'tencent:hunyuan-3d@3.1-rapid',
  positivePrompt: 'Full-body 3D mascot for a soil ecology museum: stout mole scientist with root-layered field cape, lamp helmet, broad digging claws, whiskered snout and ribbed boots; neutral pose.',
  settings: {
    geometryOnly: true
  }
})
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": "tencent:hunyuan-3d@3.1-rapid",
            "positivePrompt": "Full-body 3D mascot for a soil ecology museum: stout mole scientist with root-layered field cape, lamp helmet, broad digging claws, whiskered snout and ribbed boots; neutral pose.",
            "settings": {
                "geometryOnly": True
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "3dInference",
      "taskUUID": "10f46aba-3428-4f9d-9e1f-5d1e9b18c8a1",
      "model": "tencent:hunyuan-3d@3.1-rapid",
      "positivePrompt": "Full-body 3D mascot for a soil ecology museum: stout mole scientist with root-layered field cape, lamp helmet, broad digging claws, whiskered snout and ribbed boots; neutral pose.",
      "settings": {
        "geometryOnly": true
      }
    }
  ]'
runware run tencent:hunyuan-3d@3.1-rapid \
  positivePrompt="Full-body 3D mascot for a soil ecology museum: stout mole scientist with root-layered field cape, lamp helmet, broad digging claws, whiskered snout and ribbed boots; neutral pose." \
  settings.geometryOnly=true
{
  "taskType": "3dInference",
  "taskUUID": "10f46aba-3428-4f9d-9e1f-5d1e9b18c8a1",
  "model": "tencent:hunyuan-3d@3.1-rapid",
  "positivePrompt": "Full-body 3D mascot for a soil ecology museum: stout mole scientist with root-layered field cape, lamp helmet, broad digging claws, whiskered snout and ribbed boots; neutral pose.",
  "settings": {
    "geometryOnly": true
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "10f46aba-3428-4f9d-9e1f-5d1e9b18c8a1",
  "seed": 1399770144,
  "cost": 0.225,
  "outputs": {
    "files": [
      {
        "uuid": "71f3ca70-ddca-4fb8-a21a-50cfedb16767",
        "url": "https://im.runware.ai/image/os/a08dlim3/ws/4/ii/71f3ca70-ddca-4fb8-a21a-50cfedb16767.glb"
      }
    ]
  }
}

image-to-3d-pbr

Antarctic Seed Vault Entry Set$0.375~1m 8s
Try in Playground
import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'tencent:hunyuan-3d@3.1-rapid',
  settings: {
    geometryOnly: false,
    pbr: true
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/3fcfbec1-5897-41a5-a62d-4889144a3af7.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": "tencent:hunyuan-3d@3.1-rapid",
            "settings": {
                "geometryOnly": False,
                "pbr": True
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/3fcfbec1-5897-41a5-a62d-4889144a3af7.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "3dInference",
      "taskUUID": "651b76c8-c1f1-4209-8e13-f4c3117126d6",
      "model": "tencent:hunyuan-3d@3.1-rapid",
      "settings": {
        "geometryOnly": false,
        "pbr": true
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/3fcfbec1-5897-41a5-a62d-4889144a3af7.jpg"
      }
    }
  ]'
runware run tencent:hunyuan-3d@3.1-rapid \
  settings.geometryOnly=false \
  settings.pbr=true \
  inputs.image=https://assets.runware.ai/assets/inputs/3fcfbec1-5897-41a5-a62d-4889144a3af7.jpg
{
  "taskType": "3dInference",
  "taskUUID": "651b76c8-c1f1-4209-8e13-f4c3117126d6",
  "model": "tencent:hunyuan-3d@3.1-rapid",
  "settings": {
    "geometryOnly": false,
    "pbr": true
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/3fcfbec1-5897-41a5-a62d-4889144a3af7.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "651b76c8-c1f1-4209-8e13-f4c3117126d6",
  "seed": 188966631,
  "cost": 0.375,
  "outputs": {
    "files": [
      {
        "uuid": "c018c712-5a24-4703-9c2c-b487e88a8b79",
        "url": "https://im.runware.ai/image/os/a09dlim3/ws/5/ii/c018c712-5a24-4703-9c2c-b487e88a8b79.glb"
      }
    ]
  }
}

image-to-3d-geometry-only

Pediatric MRI Training Cabin$0.225~22s
Try in Playground
import { createClient } from '@runware/sdk'

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

const [result] = await client.run({
  model: 'tencent:hunyuan-3d@3.1-rapid',
  settings: {
    geometryOnly: true
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/19cacdd6-41a0-4d84-9a8c-2e847f32802b.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": "tencent:hunyuan-3d@3.1-rapid",
            "settings": {
                "geometryOnly": True
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/19cacdd6-41a0-4d84-9a8c-2e847f32802b.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "3dInference",
      "taskUUID": "0bb8a88c-5b08-4f8d-94ba-7ce8848bd5c5",
      "model": "tencent:hunyuan-3d@3.1-rapid",
      "settings": {
        "geometryOnly": true
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/19cacdd6-41a0-4d84-9a8c-2e847f32802b.jpg"
      }
    }
  ]'
runware run tencent:hunyuan-3d@3.1-rapid \
  settings.geometryOnly=true \
  inputs.image=https://assets.runware.ai/assets/inputs/19cacdd6-41a0-4d84-9a8c-2e847f32802b.jpg
{
  "taskType": "3dInference",
  "taskUUID": "0bb8a88c-5b08-4f8d-94ba-7ce8848bd5c5",
  "model": "tencent:hunyuan-3d@3.1-rapid",
  "settings": {
    "geometryOnly": true
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/19cacdd6-41a0-4d84-9a8c-2e847f32802b.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "0bb8a88c-5b08-4f8d-94ba-7ce8848bd5c5",
  "seed": 1198787627,
  "cost": 0.225,
  "outputs": {
    "files": [
      {
        "uuid": "4b8c9136-7879-476e-b3a9-a0d28ac4d678",
        "url": "https://im.runware.ai/image/os/a07dlim3/ws/4/ii/4b8c9136-7879-476e-b3a9-a0d28ac4d678.glb"
      }
    ]
  }
}
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