MediaPipe Nose Mesh
MediaPipe Nose Mesh is a feature-targeted image masking model that extracts the nose region from MediaPipe face landmarks and outputs black-and-white masks. It is useful for localized retouching, stylized edits, and selective inpainting where the nose area needs isolated control.

API Reference
INTEGRATE
Complete technical specification for integration
RequestResponse
Examples4
CODE
Ready-to-use code snippets for common workflows
Harbor Repair Crew 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@13',
settings: {
confidence: 0.65,
maxDetections: 1,
maskPadding: 12,
maskBlur: 4
},
inputs: {
image: 'https://assets.runware.ai/assets/inputs/678a8fd0-0181-4431-9db8-ee3da43205a9.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@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 12,
"maskBlur": 4
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/678a8fd0-0181-4431-9db8-ee3da43205a9.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": "65c915e3-a81f-4f1b-bb92-d841400f423a",
"model": "runware:35@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 12,
"maskBlur": 4
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/678a8fd0-0181-4431-9db8-ee3da43205a9.jpg"
}
}
]'runware run runware:35@13 \
settings.confidence=0.65 \
settings.maxDetections=1 \
settings.maskPadding=12 \
settings.maskBlur=4 \
inputs.image=https://assets.runware.ai/assets/inputs/678a8fd0-0181-4431-9db8-ee3da43205a9.jpg{
"taskType": "imageMasking",
"taskUUID": "65c915e3-a81f-4f1b-bb92-d841400f423a",
"model": "runware:35@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 12,
"maskBlur": 4
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/678a8fd0-0181-4431-9db8-ee3da43205a9.jpg"
}
}{
"taskType": "imageMasking",
"taskUUID": "65c915e3-a81f-4f1b-bb92-d841400f423a",
"maskImageURL": "https://im.runware.ai/image/os/a04d20/ws/4/ii/0df8ab3d-7acf-4325-b75c-68f9ba4f9efe.jpg",
"detections": [
{
"index": 294,
"coordinates": [
478,
288
]
},
{
"index": 278,
"coordinates": [
482,
287
]
},
{
"index": 5,
"coordinates": [
491,
281
]
},
{
"index": 4,
"coordinates": [
490,
288
]
},
{
"index": 220,
"coordinates": [
481,
285
]
},
{
"index": 115,
"coordinates": [
473,
283
]
},
{
"index": 344,
"coordinates": [
486,
287
]
},
{
"index": 440,
"coordinates": [
490,
288
]
},
{
"index": 45,
"coordinates": [
487,
287
]
},
{
"index": 220,
"coordinates": [
481,
285
]
},
{
"index": 197,
"coordinates": [
488,
267
]
},
{
"index": 195,
"coordinates": [
490,
274
]
},
{
"index": 4,
"coordinates": [
490,
288
]
},
{
"index": 45,
"coordinates": [
487,
287
]
},
{
"index": 19,
"coordinates": [
482,
294
]
},
{
"index": 94,
"coordinates": [
476,
293
]
},
{
"index": 6,
"coordinates": [
488,
259
]
},
{
"index": 197,
"coordinates": [
488,
267
]
},
{
"index": 98,
"coordinates": [
460,
285
]
},
{
"index": 97,
"coordinates": [
467,
290
]
},
{
"index": 168,
"coordinates": [
488,
252
]
},
{
"index": 6,
"coordinates": [
488,
259
]
},
{
"index": 94,
"coordinates": [
476,
293
]
},
{
"index": 2,
"coordinates": [
471,
292
]
},
{
"index": 195,
"coordinates": [
490,
274
]
},
{
"index": 5,
"coordinates": [
491,
281
]
},
{
"index": 64,
"coordinates": [
463,
283
]
},
{
"index": 98,
"coordinates": [
460,
285
]
},
{
"index": 275,
"coordinates": [
491,
288
]
},
{
"index": 4,
"coordinates": [
490,
288
]
},
{
"index": 326,
"coordinates": [
472,
292
]
},
{
"index": 327,
"coordinates": [
472,
289
]
},
{
"index": 278,
"coordinates": [
482,
287
]
},
{
"index": 344,
"coordinates": [
486,
287
]
},
{
"index": 440,
"coordinates": [
490,
288
]
},
{
"index": 275,
"coordinates": [
491,
288
]
},
{
"index": 4,
"coordinates": [
490,
288
]
},
{
"index": 1,
"coordinates": [
487,
292
]
},
{
"index": 327,
"coordinates": [
472,
289
]
},
{
"index": 294,
"coordinates": [
478,
288
]
},
{
"index": 115,
"coordinates": [
473,
283
]
},
{
"index": 48,
"coordinates": [
466,
282
]
},
{
"index": 48,
"coordinates": [
466,
282
]
},
{
"index": 64,
"coordinates": [
463,
283
]
},
{
"index": 1,
"coordinates": [
487,
292
]
},
{
"index": 19,
"coordinates": [
482,
294
]
},
{
"index": 2,
"coordinates": [
471,
292
]
},
{
"index": 326,
"coordinates": [
472,
292
]
},
{
"index": 97,
"coordinates": [
467,
290
]
},
{
"index": 2,
"coordinates": [
471,
292
]
}
],
"cost": 0.0006,
"maskImageUUID": "0df8ab3d-7acf-4325-b75c-68f9ba4f9efe"
}Specimen Lab Workbench 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@13',
settings: {
confidence: 0.65,
maxDetections: 1,
maskPadding: 16,
maskBlur: 6
},
inputs: {
image: 'https://assets.runware.ai/assets/inputs/5c67360f-da6f-486c-b0b0-a5826ab85274.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@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 16,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/5c67360f-da6f-486c-b0b0-a5826ab85274.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": "80bf77ec-a1c1-4588-a1d7-e258be821142",
"model": "runware:35@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 16,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/5c67360f-da6f-486c-b0b0-a5826ab85274.jpg"
}
}
]'runware run runware:35@13 \
settings.confidence=0.65 \
settings.maxDetections=1 \
settings.maskPadding=16 \
settings.maskBlur=6 \
inputs.image=https://assets.runware.ai/assets/inputs/5c67360f-da6f-486c-b0b0-a5826ab85274.jpg{
"taskType": "imageMasking",
"taskUUID": "80bf77ec-a1c1-4588-a1d7-e258be821142",
"model": "runware:35@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 16,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/5c67360f-da6f-486c-b0b0-a5826ab85274.jpg"
}
}{
"taskType": "imageMasking",
"taskUUID": "80bf77ec-a1c1-4588-a1d7-e258be821142",
"maskImageURL": "https://im.runware.ai/image/os/a08dlim3/ws/4/ii/c42e672b-1cf6-415f-8bd9-a2fea3e96598.jpg",
"cost": 0.0006,
"maskImageUUID": "c42e672b-1cf6-415f-8bd9-a2fea3e96598"
}Corner Laundromat Folding Station

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@13',
settings: {
confidence: 0.7,
maxDetections: 1,
maskPadding: 14,
maskBlur: 6
},
inputs: {
image: 'https://assets.runware.ai/assets/inputs/45dc916b-02f8-4f94-8aeb-8191bca08833.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@13",
"settings": {
"confidence": 0.7,
"maxDetections": 1,
"maskPadding": 14,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/45dc916b-02f8-4f94-8aeb-8191bca08833.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": "1e4c4ce2-0b75-406b-89d0-91132326034a",
"model": "runware:35@13",
"settings": {
"confidence": 0.7,
"maxDetections": 1,
"maskPadding": 14,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/45dc916b-02f8-4f94-8aeb-8191bca08833.jpg"
}
}
]'runware run runware:35@13 \
settings.confidence=0.7 \
settings.maxDetections=1 \
settings.maskPadding=14 \
settings.maskBlur=6 \
inputs.image=https://assets.runware.ai/assets/inputs/45dc916b-02f8-4f94-8aeb-8191bca08833.jpg{
"taskType": "imageMasking",
"taskUUID": "1e4c4ce2-0b75-406b-89d0-91132326034a",
"model": "runware:35@13",
"settings": {
"confidence": 0.7,
"maxDetections": 1,
"maskPadding": 14,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/45dc916b-02f8-4f94-8aeb-8191bca08833.jpg"
}
}{
"taskType": "imageMasking",
"taskUUID": "1e4c4ce2-0b75-406b-89d0-91132326034a",
"maskImageURL": "https://im.runware.ai/image/os/a03d21/ws/4/ii/f5647523-b501-4f4a-a87d-b8403df2b7c0.jpg",
"cost": 0.0006,
"maskImageUUID": "f5647523-b501-4f4a-a87d-b8403df2b7c0"
}Ceramic Studio Wheel Session

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@13',
settings: {
confidence: 0.65,
maxDetections: 1,
maskPadding: 14,
maskBlur: 6
},
inputs: {
image: 'https://assets.runware.ai/assets/inputs/9f42b5d7-6ab2-4114-90f2-b65c54dcd7ef.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@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 14,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/9f42b5d7-6ab2-4114-90f2-b65c54dcd7ef.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": "9d7f09fd-b375-4fdb-a3ff-3c1fa0b734e2",
"model": "runware:35@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 14,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/9f42b5d7-6ab2-4114-90f2-b65c54dcd7ef.jpg"
}
}
]'runware run runware:35@13 \
settings.confidence=0.65 \
settings.maxDetections=1 \
settings.maskPadding=14 \
settings.maskBlur=6 \
inputs.image=https://assets.runware.ai/assets/inputs/9f42b5d7-6ab2-4114-90f2-b65c54dcd7ef.jpg{
"taskType": "imageMasking",
"taskUUID": "9d7f09fd-b375-4fdb-a3ff-3c1fa0b734e2",
"model": "runware:35@13",
"settings": {
"confidence": 0.65,
"maxDetections": 1,
"maskPadding": 14,
"maskBlur": 6
},
"inputs": {
"image": "https://assets.runware.ai/assets/inputs/9f42b5d7-6ab2-4114-90f2-b65c54dcd7ef.jpg"
}
}{
"taskType": "imageMasking",
"taskUUID": "9d7f09fd-b375-4fdb-a3ff-3c1fa0b734e2",
"maskImageURL": "https://im.runware.ai/image/os/a01d21/ws/4/ii/d7a37bc1-43cb-43b5-8812-69b4e69a71c4.jpg",
"detections": [
{
"index": 294,
"coordinates": [
232,
220
]
},
{
"index": 278,
"coordinates": [
235,
218
]
},
{
"index": 5,
"coordinates": [
235,
208
]
},
{
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"coordinates": [
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]
},
{
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]
},
{
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]
},
{
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]
},
{
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]
},
{
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]
},
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]
},
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]
},
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]
},
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]
},
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]
},
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]
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]
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]
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]
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]
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]
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]
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]
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]
},
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]
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]
},
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]
},
{
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]
},
{
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]
},
{
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]
},
{
"index": 327,
"coordinates": [
227,
223
]
},
{
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"coordinates": [
235,
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]
},
{
"index": 344,
"coordinates": [
238,
217
]
},
{
"index": 440,
"coordinates": [
240,
216
]
},
{
"index": 275,
"coordinates": [
240,
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]
},
{
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"coordinates": [
238,
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]
},
{
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"coordinates": [
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223
]
},
{
"index": 327,
"coordinates": [
227,
223
]
},
{
"index": 294,
"coordinates": [
232,
220
]
},
{
"index": 115,
"coordinates": [
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]
},
{
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"coordinates": [
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]
},
{
"index": 48,
"coordinates": [
211,
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]
},
{
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"coordinates": [
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]
},
{
"index": 1,
"coordinates": [
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]
},
{
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"coordinates": [
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]
},
{
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"coordinates": [
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]
},
{
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"coordinates": [
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]
},
{
"index": 97,
"coordinates": [
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]
},
{
"index": 2,
"coordinates": [
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]
}
],
"cost": 0.0006,
"maskImageUUID": "d7a37bc1-43cb-43b5-8812-69b4e69a71c4"
}