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MODEL IDrunware:35@8
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MediaPipe Face Mesh

MediaPipe Face Mesh is a face masking model built on dense facial landmark topology. It produces black-and-white masks with more contour awareness than simple bounding-box detectors, making it useful for precision face inpainting, facial retouching, and detail enhancement pipelines.

MediaPipe Face Mesh
Mask

Bicycle Workshop Candid Face Mask

Bicycle Workshop Candid Face Mask
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@8',
  settings: {
    confidence: 0.72,
    maxDetections: 1,
    maskPadding: 14,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/0681ff78-ddcb-4a61-89e7-a5235428b86e.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@8",
            "settings": {
                "confidence": 0.72,
                "maxDetections": 1,
                "maskPadding": 14,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/0681ff78-ddcb-4a61-89e7-a5235428b86e.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": "e4dc0896-39fd-4166-8674-709787871ce2",
      "model": "runware:35@8",
      "settings": {
        "confidence": 0.72,
        "maxDetections": 1,
        "maskPadding": 14,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/0681ff78-ddcb-4a61-89e7-a5235428b86e.jpg"
      }
    }
  ]'
runware run runware:35@8 \
  settings.confidence=0.72 \
  settings.maxDetections=1 \
  settings.maskPadding=14 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/0681ff78-ddcb-4a61-89e7-a5235428b86e.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "e4dc0896-39fd-4166-8674-709787871ce2",
  "model": "runware:35@8",
  "settings": {
    "confidence": 0.72,
    "maxDetections": 1,
    "maskPadding": 14,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/0681ff78-ddcb-4a61-89e7-a5235428b86e.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "e4dc0896-39fd-4166-8674-709787871ce2",
  "maskImageURL": "https://im.runware.ai/image/os/a04d20/ws/4/ii/eb953b07-59de-4c78-9575-5b69b902421d.jpg",
  "cost": 0.0006,
  "maskImageUUID": "eb953b07-59de-4c78-9575-5b69b902421d"
}
Mask

Laundromat Folding Table Candid

Laundromat Folding Table Candid
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@8',
  settings: {
    confidence: 0.65,
    maxDetections: 1,
    maskPadding: 8,
    maskBlur: 4
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/2658508b-df9b-4b5c-8d36-cb7bf00a1773.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@8",
            "settings": {
                "confidence": 0.65,
                "maxDetections": 1,
                "maskPadding": 8,
                "maskBlur": 4
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/2658508b-df9b-4b5c-8d36-cb7bf00a1773.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": "78bd0168-c60a-4a76-83e0-6480ad9c09a6",
      "model": "runware:35@8",
      "settings": {
        "confidence": 0.65,
        "maxDetections": 1,
        "maskPadding": 8,
        "maskBlur": 4
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/2658508b-df9b-4b5c-8d36-cb7bf00a1773.jpg"
      }
    }
  ]'
runware run runware:35@8 \
  settings.confidence=0.65 \
  settings.maxDetections=1 \
  settings.maskPadding=8 \
  settings.maskBlur=4 \
  inputs.image=https://assets.runware.ai/assets/inputs/2658508b-df9b-4b5c-8d36-cb7bf00a1773.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "78bd0168-c60a-4a76-83e0-6480ad9c09a6",
  "model": "runware:35@8",
  "settings": {
    "confidence": 0.65,
    "maxDetections": 1,
    "maskPadding": 8,
    "maskBlur": 4
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/2658508b-df9b-4b5c-8d36-cb7bf00a1773.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "78bd0168-c60a-4a76-83e0-6480ad9c09a6",
  "maskImageURL": "https://im.runware.ai/image/os/a03d21/ws/4/ii/c8e423b5-4bf2-4c78-bc44-e094d39981c4.jpg",
  "cost": 0.0006,
  "maskImageUUID": "c8e423b5-4bf2-4c78-bc44-e094d39981c4"
}
Mask

Harbor Net Repair Candid

Harbor Net Repair Candid
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@8',
  settings: {
    confidence: 0.6,
    maxDetections: 1,
    maskPadding: 14,
    maskBlur: 6
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/90debe36-44aa-47b2-9da2-498f11855dad.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@8",
            "settings": {
                "confidence": 0.6,
                "maxDetections": 1,
                "maskPadding": 14,
                "maskBlur": 6
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/90debe36-44aa-47b2-9da2-498f11855dad.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": "8511fc6a-dd03-4489-8f79-cb6a9a711595",
      "model": "runware:35@8",
      "settings": {
        "confidence": 0.6,
        "maxDetections": 1,
        "maskPadding": 14,
        "maskBlur": 6
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/90debe36-44aa-47b2-9da2-498f11855dad.jpg"
      }
    }
  ]'
runware run runware:35@8 \
  settings.confidence=0.6 \
  settings.maxDetections=1 \
  settings.maskPadding=14 \
  settings.maskBlur=6 \
  inputs.image=https://assets.runware.ai/assets/inputs/90debe36-44aa-47b2-9da2-498f11855dad.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "8511fc6a-dd03-4489-8f79-cb6a9a711595",
  "model": "runware:35@8",
  "settings": {
    "confidence": 0.6,
    "maxDetections": 1,
    "maskPadding": 14,
    "maskBlur": 6
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/90debe36-44aa-47b2-9da2-498f11855dad.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "8511fc6a-dd03-4489-8f79-cb6a9a711595",
  "maskImageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/54d87125-2dc6-4f88-b727-9f2cc1de44af.jpg",
  "cost": 0.0006,
  "maskImageUUID": "54d87125-2dc6-4f88-b727-9f2cc1de44af"
}
Mask

Orchard Ladder Worker Candid

Orchard Ladder Worker Candid
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@8',
  settings: {
    confidence: 0.7,
    maxDetections: 1,
    maskPadding: 12,
    maskBlur: 4
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/ec1aa745-59b1-4251-9053-245460bda241.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@8",
            "settings": {
                "confidence": 0.7,
                "maxDetections": 1,
                "maskPadding": 12,
                "maskBlur": 4
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/ec1aa745-59b1-4251-9053-245460bda241.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": "98bc255f-7ae8-452d-bdb4-8120ce3b00cb",
      "model": "runware:35@8",
      "settings": {
        "confidence": 0.7,
        "maxDetections": 1,
        "maskPadding": 12,
        "maskBlur": 4
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/ec1aa745-59b1-4251-9053-245460bda241.jpg"
      }
    }
  ]'
runware run runware:35@8 \
  settings.confidence=0.7 \
  settings.maxDetections=1 \
  settings.maskPadding=12 \
  settings.maskBlur=4 \
  inputs.image=https://assets.runware.ai/assets/inputs/ec1aa745-59b1-4251-9053-245460bda241.jpg
{
  "taskType": "imageMasking",
  "taskUUID": "98bc255f-7ae8-452d-bdb4-8120ce3b00cb",
  "model": "runware:35@8",
  "settings": {
    "confidence": 0.7,
    "maxDetections": 1,
    "maskPadding": 12,
    "maskBlur": 4
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/ec1aa745-59b1-4251-9053-245460bda241.jpg"
  }
}
Response
{
  "taskType": "imageMasking",
  "taskUUID": "98bc255f-7ae8-452d-bdb4-8120ce3b00cb",
  "maskImageURL": "https://im.runware.ai/image/os/a06dlim3/ws/4/ii/2f968367-fd7f-48ed-9b4d-c58c052f00e4.jpg",
  "cost": 0.0006,
  "maskImageUUID": "2f968367-fd7f-48ed-9b4d-c58c052f00e4"
}
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