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MODEL IDrunware:35@7
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MediaPipe Face Short

MediaPipe Face Short is an image masking model optimized for short-range realistic face detection. It returns black-and-white masks around nearby faces and is a practical fit for portrait images, selfies, and other close-frame facial masking workflows.

MediaPipe Face Short
Mask

Candid Bicycle Repair Snapshot

Candid Bicycle Repair Snapshot
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:35@7',
  settings: {
    confidence: 0.6,
    maxDetections: 1,
    maskPadding: 24,
    maskBlur: 8
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/7fa107b8-1ebf-4b44-9451-2daf20d8962f.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:35@7",
            "settings": {
                "confidence": 0.6,
                "maxDetections": 1,
                "maskPadding": 24,
                "maskBlur": 8
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/7fa107b8-1ebf-4b44-9451-2daf20d8962f.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "48fe297d-ce3e-4028-9aed-829b6753163f",
      "model": "runware:35@7",
      "settings": {
        "confidence": 0.6,
        "maxDetections": 1,
        "maskPadding": 24,
        "maskBlur": 8
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/7fa107b8-1ebf-4b44-9451-2daf20d8962f.jpg"
      }
    }
  ]'
runware run runware:35@7 \
  settings.confidence=0.6 \
  settings.maxDetections=1 \
  settings.maskPadding=24 \
  settings.maskBlur=8 \
  inputs.image=https://assets.runware.ai/assets/inputs/7fa107b8-1ebf-4b44-9451-2daf20d8962f.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "48fe297d-ce3e-4028-9aed-829b6753163f",
  "model": "runware:35@7",
  "settings": {
    "confidence": 0.6,
    "maxDetections": 1,
    "maskPadding": 24,
    "maskBlur": 8
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/7fa107b8-1ebf-4b44-9451-2daf20d8962f.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "48fe297d-ce3e-4028-9aed-829b6753163f",
  "maskImageURL": "https://im.runware.ai/image/os/a06dlim3/ws/4/ii/c4833ca7-fa39-4333-a9c2-4d508bf4a3bc.jpg",
  "cost": 0.0006,
  "maskImageUUID": "c4833ca7-fa39-4333-a9c2-4d508bf4a3bc"
}
Mask

Laundromat Folding Table Snapshot

Laundromat Folding Table Snapshot
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:35@7',
  settings: {
    confidence: 0.6,
    maxDetections: 1,
    maskPadding: 18,
    maskBlur: 8
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/b14ee70a-3c17-4690-af65-5172ff9c5dd4.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:35@7",
            "settings": {
                "confidence": 0.6,
                "maxDetections": 1,
                "maskPadding": 18,
                "maskBlur": 8
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/b14ee70a-3c17-4690-af65-5172ff9c5dd4.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "e5d91578-711f-4f69-9495-a67eca814dbd",
      "model": "runware:35@7",
      "settings": {
        "confidence": 0.6,
        "maxDetections": 1,
        "maskPadding": 18,
        "maskBlur": 8
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/b14ee70a-3c17-4690-af65-5172ff9c5dd4.jpg"
      }
    }
  ]'
runware run runware:35@7 \
  settings.confidence=0.6 \
  settings.maxDetections=1 \
  settings.maskPadding=18 \
  settings.maskBlur=8 \
  inputs.image=https://assets.runware.ai/assets/inputs/b14ee70a-3c17-4690-af65-5172ff9c5dd4.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "e5d91578-711f-4f69-9495-a67eca814dbd",
  "model": "runware:35@7",
  "settings": {
    "confidence": 0.6,
    "maxDetections": 1,
    "maskPadding": 18,
    "maskBlur": 8
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/b14ee70a-3c17-4690-af65-5172ff9c5dd4.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "e5d91578-711f-4f69-9495-a67eca814dbd",
  "maskImageURL": "https://im.runware.ai/image/os/a07dlim3/ws/4/ii/6da6f3a4-7fbf-4319-8b5a-461274f43b05.jpg",
  "cost": 0.0006,
  "maskImageUUID": "6da6f3a4-7fbf-4319-8b5a-461274f43b05"
}
Mask

Ceramics Studio Glaze Table

Ceramics Studio Glaze Table
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:35@7',
  settings: {
    confidence: 0.65,
    maxDetections: 1,
    maskPadding: 18,
    maskBlur: 8
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/c68d7f1b-b4a0-4cd5-8a40-4385f975bc74.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:35@7",
            "settings": {
                "confidence": 0.65,
                "maxDetections": 1,
                "maskPadding": 18,
                "maskBlur": 8
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/c68d7f1b-b4a0-4cd5-8a40-4385f975bc74.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "6a4a206a-c532-49ac-9a84-e833022b5fbc",
      "model": "runware:35@7",
      "settings": {
        "confidence": 0.65,
        "maxDetections": 1,
        "maskPadding": 18,
        "maskBlur": 8
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/c68d7f1b-b4a0-4cd5-8a40-4385f975bc74.jpg"
      }
    }
  ]'
runware run runware:35@7 \
  settings.confidence=0.65 \
  settings.maxDetections=1 \
  settings.maskPadding=18 \
  settings.maskBlur=8 \
  inputs.image=https://assets.runware.ai/assets/inputs/c68d7f1b-b4a0-4cd5-8a40-4385f975bc74.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "6a4a206a-c532-49ac-9a84-e833022b5fbc",
  "model": "runware:35@7",
  "settings": {
    "confidence": 0.65,
    "maxDetections": 1,
    "maskPadding": 18,
    "maskBlur": 8
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/c68d7f1b-b4a0-4cd5-8a40-4385f975bc74.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "6a4a206a-c532-49ac-9a84-e833022b5fbc",
  "maskImageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/772fd5c4-0725-4378-b86c-26151343a69c.jpg",
  "cost": 0.0006,
  "maskImageUUID": "772fd5c4-0725-4378-b86c-26151343a69c"
}
Mask

Candid Bakery Prep Frame

Candid Bakery Prep Frame
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:35@7',
  settings: {
    confidence: 0.6,
    maxDetections: 1,
    maskPadding: 18,
    maskBlur: 8
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/43228de3-125f-4bef-a825-7c05e66725a0.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:35@7",
            "settings": {
                "confidence": 0.6,
                "maxDetections": 1,
                "maskPadding": 18,
                "maskBlur": 8
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/43228de3-125f-4bef-a825-7c05e66725a0.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageMasking",
      "taskUUID": "dd56940b-cc2b-411e-9cd4-af69373703d4",
      "model": "runware:35@7",
      "settings": {
        "confidence": 0.6,
        "maxDetections": 1,
        "maskPadding": 18,
        "maskBlur": 8
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/43228de3-125f-4bef-a825-7c05e66725a0.jpg"
      }
    }
  ]'
runware run runware:35@7 \
  settings.confidence=0.6 \
  settings.maxDetections=1 \
  settings.maskPadding=18 \
  settings.maskBlur=8 \
  inputs.image=https://assets.runware.ai/assets/inputs/43228de3-125f-4bef-a825-7c05e66725a0.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "dd56940b-cc2b-411e-9cd4-af69373703d4",
  "model": "runware:35@7",
  "settings": {
    "confidence": 0.6,
    "maxDetections": 1,
    "maskPadding": 18,
    "maskBlur": 8
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/43228de3-125f-4bef-a825-7c05e66725a0.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "dd56940b-cc2b-411e-9cd4-af69373703d4",
  "maskImageURL": "https://im.runware.ai/image/os/a02d21/ws/4/ii/731c7cf1-e38d-4076-9099-02244da71843.jpg",
  "cost": 0.0006,
  "maskImageUUID": "731c7cf1-e38d-4076-9099-02244da71843"
}
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