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MODEL IDrunware:controlnet-preprocess@softedge
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ControlNet Preprocess SoftEdge

ControlNet Preprocess SoftEdge extracts smoother, more organic edge structure from an input image for ControlNet conditioning. It is useful when the goal is to preserve contours and layout without the harsh binary boundaries of Canny, especially for painterly, naturalistic, or softer illustration workflows.

ControlNet Preprocess SoftEdge
Edge Detection

Tidepool Shell Arrangement Study

Tidepool Shell Arrangement Study
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:controlnet-preprocess@softedge',
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/d3f277b7-78af-469d-a609-8bfb927bc7d8.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:controlnet-preprocess@softedge",
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/d3f277b7-78af-469d-a609-8bfb927bc7d8.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "controlNetPreprocess",
      "taskUUID": "7520ee24-f756-4686-a705-b9217ebadbf4",
      "model": "runware:controlnet-preprocess@softedge",
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/d3f277b7-78af-469d-a609-8bfb927bc7d8.jpg"
      }
    }
  ]'
runware run runware:controlnet-preprocess@softedge \
  inputs.image=https://assets.runware.ai/assets/inputs/d3f277b7-78af-469d-a609-8bfb927bc7d8.jpg
{
  "taskType": "controlNetPreprocess",
  "taskUUID": "7520ee24-f756-4686-a705-b9217ebadbf4",
  "model": "runware:controlnet-preprocess@softedge",
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/d3f277b7-78af-469d-a609-8bfb927bc7d8.jpg"
  }
}
Response
{
  "taskType": "imageControlNetPreProcess",
  "taskUUID": "7520ee24-f756-4686-a705-b9217ebadbf4",
  "guideImageURL": "https://im.runware.ai/image/os/a05d22/ws/3/ii/0999dbd7-ea93-4337-9f9c-f568abc97f08.jpg",
  "cost": 0.0006,
  "guideImageUUID": "0999dbd7-ea93-4337-9f9c-f568abc97f08",
  "inputImageUUID": "68b0f2c6-b0ee-42db-87bb-6602f9d686a1"
}
Edge Detection

Velvet Moth Specimen Arrangement

Velvet Moth Specimen Arrangement
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:controlnet-preprocess@softedge',
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/e8a55df8-04d7-440c-90a2-f99b06625483.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:controlnet-preprocess@softedge",
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/e8a55df8-04d7-440c-90a2-f99b06625483.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "controlNetPreprocess",
      "taskUUID": "cca67287-0cb0-49b9-806e-e758f6645c66",
      "model": "runware:controlnet-preprocess@softedge",
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/e8a55df8-04d7-440c-90a2-f99b06625483.jpg"
      }
    }
  ]'
runware run runware:controlnet-preprocess@softedge \
  inputs.image=https://assets.runware.ai/assets/inputs/e8a55df8-04d7-440c-90a2-f99b06625483.jpg
{
  "taskType": "controlNetPreprocess",
  "taskUUID": "cca67287-0cb0-49b9-806e-e758f6645c66",
  "model": "runware:controlnet-preprocess@softedge",
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/e8a55df8-04d7-440c-90a2-f99b06625483.jpg"
  }
}
Response
{
  "taskType": "imageControlNetPreProcess",
  "taskUUID": "cca67287-0cb0-49b9-806e-e758f6645c66",
  "guideImageURL": "https://im.runware.ai/image/os/a07dlim3/ws/3/ii/8c797a2e-375c-43f3-8cdb-089ae8a10e6d.jpg",
  "cost": 0.0006,
  "guideImageUUID": "8c797a2e-375c-43f3-8cdb-089ae8a10e6d",
  "inputImageUUID": "3d45ba91-1772-405d-9f56-5a0af6bdfbee"
}
Edge Detection

Origami Heron Paper Diorama

Origami Heron Paper Diorama
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:controlnet-preprocess@softedge',
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/3031f736-ac70-4253-9846-6734cd480939.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:controlnet-preprocess@softedge",
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/3031f736-ac70-4253-9846-6734cd480939.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "controlNetPreprocess",
      "taskUUID": "a3efddd2-d856-4fa6-b55d-1dd1fb326a9b",
      "model": "runware:controlnet-preprocess@softedge",
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/3031f736-ac70-4253-9846-6734cd480939.jpg"
      }
    }
  ]'
runware run runware:controlnet-preprocess@softedge \
  inputs.image=https://assets.runware.ai/assets/inputs/3031f736-ac70-4253-9846-6734cd480939.jpg
{
  "taskType": "controlNetPreprocess",
  "taskUUID": "a3efddd2-d856-4fa6-b55d-1dd1fb326a9b",
  "model": "runware:controlnet-preprocess@softedge",
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/3031f736-ac70-4253-9846-6734cd480939.jpg"
  }
}
Response
{
  "taskType": "imageControlNetPreProcess",
  "taskUUID": "a3efddd2-d856-4fa6-b55d-1dd1fb326a9b",
  "guideImageURL": "https://im.runware.ai/image/os/a09dlim3/ws/3/ii/a0b55567-4442-4208-aef5-1bcd0e413983.jpg",
  "cost": 0.0006,
  "guideImageUUID": "a0b55567-4442-4208-aef5-1bcd0e413983",
  "inputImageUUID": "6701ab86-9aab-44ad-b540-34a1c463beb8"
}
Preprocess

Moss Courtyard Cellist Silhouette

Moss Courtyard Cellist Silhouette
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:controlnet-preprocess@softedge',
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/eed8f734-892d-47c4-82b9-e9b3b676ff38.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:controlnet-preprocess@softedge",
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/eed8f734-892d-47c4-82b9-e9b3b676ff38.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "controlNetPreprocess",
      "taskUUID": "ad4b7a3f-04f5-4392-b64d-5c4ad16e3fd0",
      "model": "runware:controlnet-preprocess@softedge",
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/eed8f734-892d-47c4-82b9-e9b3b676ff38.jpg"
      }
    }
  ]'
runware run runware:controlnet-preprocess@softedge \
  inputs.image=https://assets.runware.ai/assets/inputs/eed8f734-892d-47c4-82b9-e9b3b676ff38.jpg
{
  "taskType": "controlNetPreprocess",
  "taskUUID": "ad4b7a3f-04f5-4392-b64d-5c4ad16e3fd0",
  "model": "runware:controlnet-preprocess@softedge",
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/eed8f734-892d-47c4-82b9-e9b3b676ff38.jpg"
  }
}
Response
{
  "taskType": "imageControlNetPreProcess",
  "taskUUID": "ad4b7a3f-04f5-4392-b64d-5c4ad16e3fd0",
  "guideImageURL": "https://im.runware.ai/image/os/a09dlim3/ws/3/ii/953dc3c1-2b85-4306-805e-ef6b95477ba7.jpg",
  "cost": 0.0006,
  "guideImageUUID": "953dc3c1-2b85-4306-805e-ef6b95477ba7",
  "inputImageUUID": "d2039547-39f7-45b8-971e-8314a08dc974"
}
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