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MODEL IDmicrosoft:trellis-2@4b
Try in Playground

TRELLIS.2

Microsoft
by

TRELLIS.2 is a 4-billion-parameter 3D generative model that transforms 2D images into fully textured 3D assets with complex topology, sharp features, and physically based rendering materials. It uses a novel field-free sparse voxel representation and scalable structured latent space to enable efficient, high-resolution 3D generation from single image input.

TRELLIS.2

image-to-3d

Tidal Monitoring Cabin Environment Module$0.0269~46s
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: 'microsoft:trellis-2@4b',
  settings: {
    resolution: 1024,
    textureSize: 2048,
    remesh: true
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/5b472250-afda-43d5-be68-35ed6e3840a3.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": "microsoft:trellis-2@4b",
            "settings": {
                "resolution": 1024,
                "textureSize": 2048,
                "remesh": True
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/5b472250-afda-43d5-be68-35ed6e3840a3.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": "45207280-bb45-45f9-b239-d2815554cb3c",
      "model": "microsoft:trellis-2@4b",
      "settings": {
        "resolution": 1024,
        "textureSize": 2048,
        "remesh": true
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/5b472250-afda-43d5-be68-35ed6e3840a3.jpg"
      }
    }
  ]'
runware run microsoft:trellis-2@4b \
  settings.resolution=1024 \
  settings.textureSize=2048 \
  settings.remesh=true \
  inputs.image=https://assets.runware.ai/assets/inputs/5b472250-afda-43d5-be68-35ed6e3840a3.jpg
{
  "taskType": "3dInference",
  "taskUUID": "45207280-bb45-45f9-b239-d2815554cb3c",
  "model": "microsoft:trellis-2@4b",
  "settings": {
    "resolution": 1024,
    "textureSize": 2048,
    "remesh": true
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/5b472250-afda-43d5-be68-35ed6e3840a3.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "45207280-bb45-45f9-b239-d2815554cb3c",
  "seed": 1415081447,
  "cost": 0.0269,
  "outputs": {
    "files": [
      {
        "uuid": "216f663c-5e9e-4615-9b67-016f3d53257b",
        "url": "https://im.runware.ai/image/os/a01d21/ws/5/ii/216f663c-5e9e-4615-9b67-016f3d53257b.glb"
      }
    ]
  }
}

image-to-3d

Portable Farrier Hoof Stand Model$0.009~21s
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: 'microsoft:trellis-2@4b',
  settings: {
    resolution: 1024,
    textureSize: 2048,
    remesh: true
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/e35681d0-7043-4862-9eed-6698b538a1c1.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": "microsoft:trellis-2@4b",
            "settings": {
                "resolution": 1024,
                "textureSize": 2048,
                "remesh": True
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/e35681d0-7043-4862-9eed-6698b538a1c1.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": "5613a9e3-0063-45f2-ae0a-858ba75bcfbb",
      "model": "microsoft:trellis-2@4b",
      "settings": {
        "resolution": 1024,
        "textureSize": 2048,
        "remesh": true
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/e35681d0-7043-4862-9eed-6698b538a1c1.jpg"
      }
    }
  ]'
runware run microsoft:trellis-2@4b \
  settings.resolution=1024 \
  settings.textureSize=2048 \
  settings.remesh=true \
  inputs.image=https://assets.runware.ai/assets/inputs/e35681d0-7043-4862-9eed-6698b538a1c1.jpg
{
  "taskType": "3dInference",
  "taskUUID": "5613a9e3-0063-45f2-ae0a-858ba75bcfbb",
  "model": "microsoft:trellis-2@4b",
  "settings": {
    "resolution": 1024,
    "textureSize": 2048,
    "remesh": true
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/e35681d0-7043-4862-9eed-6698b538a1c1.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "5613a9e3-0063-45f2-ae0a-858ba75bcfbb",
  "seed": 862915391,
  "cost": 0.009,
  "outputs": {
    "files": [
      {
        "uuid": "4b231a5a-be00-4e3d-9a29-71c00acd579e",
        "url": "https://im.runware.ai/image/os/a03d21/ws/5/ii/4b231a5a-be00-4e3d-9a29-71c00acd579e.glb"
      }
    ]
  }
}

image-to-3d

Neon Laundromat Cutaway Set Module$0.0218~1m 19s
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: 'microsoft:trellis-2@4b',
  settings: {
    resolution: 1024,
    textureSize: 2048,
    remesh: true
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/c3ec2b8a-876e-43fd-a1bf-8d81bfa22c00.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": "microsoft:trellis-2@4b",
            "settings": {
                "resolution": 1024,
                "textureSize": 2048,
                "remesh": True
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/c3ec2b8a-876e-43fd-a1bf-8d81bfa22c00.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": "d33c0123-ab89-4944-b8e4-206912b3ebdb",
      "model": "microsoft:trellis-2@4b",
      "settings": {
        "resolution": 1024,
        "textureSize": 2048,
        "remesh": true
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/c3ec2b8a-876e-43fd-a1bf-8d81bfa22c00.jpg"
      }
    }
  ]'
runware run microsoft:trellis-2@4b \
  settings.resolution=1024 \
  settings.textureSize=2048 \
  settings.remesh=true \
  inputs.image=https://assets.runware.ai/assets/inputs/c3ec2b8a-876e-43fd-a1bf-8d81bfa22c00.jpg
{
  "taskType": "3dInference",
  "taskUUID": "d33c0123-ab89-4944-b8e4-206912b3ebdb",
  "model": "microsoft:trellis-2@4b",
  "settings": {
    "resolution": 1024,
    "textureSize": 2048,
    "remesh": true
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/c3ec2b8a-876e-43fd-a1bf-8d81bfa22c00.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "d33c0123-ab89-4944-b8e4-206912b3ebdb",
  "seed": 124962657,
  "cost": 0.0218,
  "outputs": {
    "files": [
      {
        "uuid": "2dbf311e-549a-42ba-81f1-1a9a1953c076",
        "url": "https://im.runware.ai/image/os/a07dlim3/ws/5/ii/2dbf311e-549a-42ba-81f1-1a9a1953c076.glb"
      }
    ]
  }
}

image-to-3d

Underground Safety Mole Character Model$0.0166~30s
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: 'microsoft:trellis-2@4b',
  settings: {
    resolution: 1024,
    textureSize: 2048,
    remesh: true
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/29d4381c-08b0-4359-851d-fd790502d615.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": "microsoft:trellis-2@4b",
            "settings": {
                "resolution": 1024,
                "textureSize": 2048,
                "remesh": True
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/29d4381c-08b0-4359-851d-fd790502d615.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": "331e6717-e52d-4d5b-a2f3-e7706c692af2",
      "model": "microsoft:trellis-2@4b",
      "settings": {
        "resolution": 1024,
        "textureSize": 2048,
        "remesh": true
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/29d4381c-08b0-4359-851d-fd790502d615.jpg"
      }
    }
  ]'
runware run microsoft:trellis-2@4b \
  settings.resolution=1024 \
  settings.textureSize=2048 \
  settings.remesh=true \
  inputs.image=https://assets.runware.ai/assets/inputs/29d4381c-08b0-4359-851d-fd790502d615.jpg
{
  "taskType": "3dInference",
  "taskUUID": "331e6717-e52d-4d5b-a2f3-e7706c692af2",
  "model": "microsoft:trellis-2@4b",
  "settings": {
    "resolution": 1024,
    "textureSize": 2048,
    "remesh": true
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/29d4381c-08b0-4359-851d-fd790502d615.jpg"
  }
}
Response
{
  "taskType": "3dInference",
  "taskUUID": "331e6717-e52d-4d5b-a2f3-e7706c692af2",
  "seed": 1772785070,
  "cost": 0.0166,
  "outputs": {
    "files": [
      {
        "uuid": "c4f12b9a-0ef1-498d-8656-9a05e4fc772b",
        "url": "https://im.runware.ai/image/os/a03d21/ws/5/ii/c4f12b9a-0ef1-498d-8656-9a05e4fc772b.glb"
      }
    ]
  }
}
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