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MODEL IDbria:21@2
Try in Playground

Bria Fibo Edit Tools

Bria
by

Bria Fibo Edit Tools is a unified image editing model that supports a broad range of editing workflows via structured instructions and optional masks. It can recolor images, relight scenes, restore degraded visuals, blend multiple images, apply seasonal effects across an image palette, or generate refined sketches based on prompt guidance. These editing operations are optimized for consistency, preservation of original content, and context-aware output.

Bria Fibo Edit Tools

expand

Smart Beehive Panorama Extension$0.04~10s
Smart Beehive Panorama Extension

Preserve the original photograph and the central smart beehive exactly. Extend the surrounding scene naturally into every new border: continue the orderly lavender rows, scattered grasses, dry ochre soil, distant low farmland, and pale summer sky with consistent perspective and warm afternoon sunlight. Maintain realistic commercial photography, seamless depth, and a calm premium agricultural-technology mood. Keep the expanded environment uncluttered and do not add more hives, people, vehicles, signage, logos, or text.

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: 'bria:21@2',
  positivePrompt: 'Preserve the original photograph and the central smart beehive exactly. Extend the surrounding scene naturally into every new border: continue the orderly lavender rows, scattered grasses, dry ochre soil, distant low farmland, and pale summer sky with consistent perspective and warm afternoon sunlight. Maintain realistic commercial photography, seamless depth, and a calm premium agricultural-technology mood. Keep the expanded environment uncluttered and do not add more hives, people, vehicles, signage, logos, or text.',
  outpaint: {
    top: 256,
    bottom: 256,
    left: 384,
    right: 384
  },
  providerSettings: {
    bria: {
      edit: 'expand'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/e78b56f0-c57c-4b39-8ff7-97e342f42820.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": "bria:21@2",
            "positivePrompt": "Preserve the original photograph and the central smart beehive exactly. Extend the surrounding scene naturally into every new border: continue the orderly lavender rows, scattered grasses, dry ochre soil, distant low farmland, and pale summer sky with consistent perspective and warm afternoon sunlight. Maintain realistic commercial photography, seamless depth, and a calm premium agricultural-technology mood. Keep the expanded environment uncluttered and do not add more hives, people, vehicles, signage, logos, or text.",
            "outpaint": {
                "top": 256,
                "bottom": 256,
                "left": 384,
                "right": 384
            },
            "providerSettings": {
                "bria": {
                    "edit": "expand"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/e78b56f0-c57c-4b39-8ff7-97e342f42820.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "d5d53c01-ef3c-4878-8e47-f24aec6ac3b1",
      "model": "bria:21@2",
      "positivePrompt": "Preserve the original photograph and the central smart beehive exactly. Extend the surrounding scene naturally into every new border: continue the orderly lavender rows, scattered grasses, dry ochre soil, distant low farmland, and pale summer sky with consistent perspective and warm afternoon sunlight. Maintain realistic commercial photography, seamless depth, and a calm premium agricultural-technology mood. Keep the expanded environment uncluttered and do not add more hives, people, vehicles, signage, logos, or text.",
      "outpaint": {
        "top": 256,
        "bottom": 256,
        "left": 384,
        "right": 384
      },
      "providerSettings": {
        "bria": {
          "edit": "expand"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/e78b56f0-c57c-4b39-8ff7-97e342f42820.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  positivePrompt="Preserve the original photograph and the central smart beehive exactly. Extend the surrounding scene naturally into every new border: continue the orderly lavender rows, scattered grasses, dry ochre soil, distant low farmland, and pale summer sky with consistent perspective and warm afternoon sunlight. Maintain realistic commercial photography, seamless depth, and a calm premium agricultural-technology mood. Keep the expanded environment uncluttered and do not add more hives, people, vehicles, signage, logos, or text." \
  outpaint.top=256 \
  outpaint.bottom=256 \
  outpaint.left=384 \
  outpaint.right=384 \
  providerSettings.bria.edit=expand \
  inputs.image=https://assets.runware.ai/assets/inputs/e78b56f0-c57c-4b39-8ff7-97e342f42820.jpg
{
  "taskType": "imageInference",
  "taskUUID": "d5d53c01-ef3c-4878-8e47-f24aec6ac3b1",
  "model": "bria:21@2",
  "positivePrompt": "Preserve the original photograph and the central smart beehive exactly. Extend the surrounding scene naturally into every new border: continue the orderly lavender rows, scattered grasses, dry ochre soil, distant low farmland, and pale summer sky with consistent perspective and warm afternoon sunlight. Maintain realistic commercial photography, seamless depth, and a calm premium agricultural-technology mood. Keep the expanded environment uncluttered and do not add more hives, people, vehicles, signage, logos, or text.",
  "outpaint": {
    "top": 256,
    "bottom": 256,
    "left": 384,
    "right": 384
  },
  "providerSettings": {
    "bria": {
      "edit": "expand"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/e78b56f0-c57c-4b39-8ff7-97e342f42820.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "d5d53c01-ef3c-4878-8e47-f24aec6ac3b1",
  "imageUUID": "dc922fc4-73ff-4d3e-bf1f-321cfefe2f03",
  "imageURL": "https://im.runware.ai/image/os/a05d22/ws/4/ii/dc922fc4-73ff-4d3e-bf1f-321cfefe2f03.jpg",
  "seed": 52695785,
  "cost": 0.04
}

sketch-to-image

Panoramic Seafloor Trencher Concept Art$0.04~17s
Panoramic Seafloor Trencher Concept Art
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: 'bria:21@2',
  providerSettings: {
    bria: {
      edit: 'sketch_to_image'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/76b58e80-70a9-4384-81e8-a4879d8f58bb.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": "bria:21@2",
            "providerSettings": {
                "bria": {
                    "edit": "sketch_to_image"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/76b58e80-70a9-4384-81e8-a4879d8f58bb.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "f2b51625-c499-440c-9a9f-ddc70fcbbf21",
      "model": "bria:21@2",
      "providerSettings": {
        "bria": {
          "edit": "sketch_to_image"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/76b58e80-70a9-4384-81e8-a4879d8f58bb.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  providerSettings.bria.edit=sketch_to_image \
  inputs.image=https://assets.runware.ai/assets/inputs/76b58e80-70a9-4384-81e8-a4879d8f58bb.jpg
{
  "taskType": "imageInference",
  "taskUUID": "f2b51625-c499-440c-9a9f-ddc70fcbbf21",
  "model": "bria:21@2",
  "providerSettings": {
    "bria": {
      "edit": "sketch_to_image"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/76b58e80-70a9-4384-81e8-a4879d8f58bb.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "f2b51625-c499-440c-9a9f-ddc70fcbbf21",
  "imageUUID": "4e1826dd-768e-4f43-80da-3b575a2f4f22",
  "imageURL": "https://im.runware.ai/image/os/a05d22/ws/3/ii/4e1826dd-768e-4f43-80da-3b575a2f4f22.jpg",
  "seed": 372161764,
  "cost": 0.04
}

blend

Floating Wetland Keynote Backdrop$0.04~24s
Floating Wetland Keynote Backdrop

Preserve the centered floating wetland and its exact geometry, vegetation, materials, scale, and straight-down aerial perspective. Expand the photograph equally to the left and right into a clean cinematic panorama of the same dark teal reservoir. Continue the natural water texture, restrained cloud reflections, gentle ripples, and soft overcast illumination seamlessly across the new canvas. Add only faint submerged vegetation patterns and a few widely spaced drifting leaves near the outer edges, maintaining generous negative space for a professional environmental engineering keynote backdrop. Photorealistic conservation-documentary art direction, calm scientific mood, muted teal, moss green, and amber palette; no duplicate wetland modules, shoreline, boats, people, buildings, lettering, logos, borders, or visible seams.

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: 'bria:21@2',
  positivePrompt: 'Preserve the centered floating wetland and its exact geometry, vegetation, materials, scale, and straight-down aerial perspective. Expand the photograph equally to the left and right into a clean cinematic panorama of the same dark teal reservoir. Continue the natural water texture, restrained cloud reflections, gentle ripples, and soft overcast illumination seamlessly across the new canvas. Add only faint submerged vegetation patterns and a few widely spaced drifting leaves near the outer edges, maintaining generous negative space for a professional environmental engineering keynote backdrop. Photorealistic conservation-documentary art direction, calm scientific mood, muted teal, moss green, and amber palette; no duplicate wetland modules, shoreline, boats, people, buildings, lettering, logos, borders, or visible seams.',
  providerSettings: {
    bria: {
      edit: 'blend'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/756f5454-7f66-4bbb-a3fe-4889299282ac.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": "bria:21@2",
            "positivePrompt": "Preserve the centered floating wetland and its exact geometry, vegetation, materials, scale, and straight-down aerial perspective. Expand the photograph equally to the left and right into a clean cinematic panorama of the same dark teal reservoir. Continue the natural water texture, restrained cloud reflections, gentle ripples, and soft overcast illumination seamlessly across the new canvas. Add only faint submerged vegetation patterns and a few widely spaced drifting leaves near the outer edges, maintaining generous negative space for a professional environmental engineering keynote backdrop. Photorealistic conservation-documentary art direction, calm scientific mood, muted teal, moss green, and amber palette; no duplicate wetland modules, shoreline, boats, people, buildings, lettering, logos, borders, or visible seams.",
            "providerSettings": {
                "bria": {
                    "edit": "blend"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/756f5454-7f66-4bbb-a3fe-4889299282ac.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "341fb5dd-221e-4d93-aa35-6f16a6ab4954",
      "model": "bria:21@2",
      "positivePrompt": "Preserve the centered floating wetland and its exact geometry, vegetation, materials, scale, and straight-down aerial perspective. Expand the photograph equally to the left and right into a clean cinematic panorama of the same dark teal reservoir. Continue the natural water texture, restrained cloud reflections, gentle ripples, and soft overcast illumination seamlessly across the new canvas. Add only faint submerged vegetation patterns and a few widely spaced drifting leaves near the outer edges, maintaining generous negative space for a professional environmental engineering keynote backdrop. Photorealistic conservation-documentary art direction, calm scientific mood, muted teal, moss green, and amber palette; no duplicate wetland modules, shoreline, boats, people, buildings, lettering, logos, borders, or visible seams.",
      "providerSettings": {
        "bria": {
          "edit": "blend"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/756f5454-7f66-4bbb-a3fe-4889299282ac.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  positivePrompt="Preserve the centered floating wetland and its exact geometry, vegetation, materials, scale, and straight-down aerial perspective. Expand the photograph equally to the left and right into a clean cinematic panorama of the same dark teal reservoir. Continue the natural water texture, restrained cloud reflections, gentle ripples, and soft overcast illumination seamlessly across the new canvas. Add only faint submerged vegetation patterns and a few widely spaced drifting leaves near the outer edges, maintaining generous negative space for a professional environmental engineering keynote backdrop. Photorealistic conservation-documentary art direction, calm scientific mood, muted teal, moss green, and amber palette; no duplicate wetland modules, shoreline, boats, people, buildings, lettering, logos, borders, or visible seams." \
  providerSettings.bria.edit=blend \
  inputs.image=https://assets.runware.ai/assets/inputs/756f5454-7f66-4bbb-a3fe-4889299282ac.jpg
{
  "taskType": "imageInference",
  "taskUUID": "341fb5dd-221e-4d93-aa35-6f16a6ab4954",
  "model": "bria:21@2",
  "positivePrompt": "Preserve the centered floating wetland and its exact geometry, vegetation, materials, scale, and straight-down aerial perspective. Expand the photograph equally to the left and right into a clean cinematic panorama of the same dark teal reservoir. Continue the natural water texture, restrained cloud reflections, gentle ripples, and soft overcast illumination seamlessly across the new canvas. Add only faint submerged vegetation patterns and a few widely spaced drifting leaves near the outer edges, maintaining generous negative space for a professional environmental engineering keynote backdrop. Photorealistic conservation-documentary art direction, calm scientific mood, muted teal, moss green, and amber palette; no duplicate wetland modules, shoreline, boats, people, buildings, lettering, logos, borders, or visible seams.",
  "providerSettings": {
    "bria": {
      "edit": "blend"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/756f5454-7f66-4bbb-a3fe-4889299282ac.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "341fb5dd-221e-4d93-aa35-6f16a6ab4954",
  "imageUUID": "ce2294f7-79b2-49b5-abe9-71be8a15415e",
  "imageURL": "https://im.runware.ai/image/os/a05d22/ws/3/ii/ce2294f7-79b2-49b5-abe9-71be8a15415e.jpg",
  "seed": 869109267,
  "cost": 0.04
}

relight

Chiaroscuro Artifact Catalog Portrait$0.04~22s
Chiaroscuro Artifact Catalog Portrait
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: 'bria:21@2',
  providerSettings: {
    bria: {
      edit: 'relight',
      lightDirection: 'side',
      lightType: 'low-angle sunlight'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/5b245f95-8b87-4e48-849e-cb1a2972de95.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": "bria:21@2",
            "providerSettings": {
                "bria": {
                    "edit": "relight",
                    "lightDirection": "side",
                    "lightType": "low-angle sunlight"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/5b245f95-8b87-4e48-849e-cb1a2972de95.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "12c89b4b-2f02-45b2-a32b-17d100626681",
      "model": "bria:21@2",
      "providerSettings": {
        "bria": {
          "edit": "relight",
          "lightDirection": "side",
          "lightType": "low-angle sunlight"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/5b245f95-8b87-4e48-849e-cb1a2972de95.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  providerSettings.bria.edit=relight \
  providerSettings.bria.lightDirection=side \
  providerSettings.bria.lightType="low-angle sunlight" \
  inputs.image=https://assets.runware.ai/assets/inputs/5b245f95-8b87-4e48-849e-cb1a2972de95.jpg
{
  "taskType": "imageInference",
  "taskUUID": "12c89b4b-2f02-45b2-a32b-17d100626681",
  "model": "bria:21@2",
  "providerSettings": {
    "bria": {
      "edit": "relight",
      "lightDirection": "side",
      "lightType": "low-angle sunlight"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/5b245f95-8b87-4e48-849e-cb1a2972de95.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "12c89b4b-2f02-45b2-a32b-17d100626681",
  "imageUUID": "ecd516fe-fd51-4253-b212-af5fdd398395",
  "imageURL": "https://im.runware.ai/image/os/a03d21/ws/3/ii/ecd516fe-fd51-4253-b212-af5fdd398395.jpg",
  "seed": 1440808314,
  "cost": 0.04
}

colorize

Neon Workshop Archive Colorization$0.04~53s
Neon Workshop Archive Colorization
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: 'bria:21@2',
  providerSettings: {
    bria: {
      edit: 'colorize',
      color: 'contemporary color'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/35947931-083f-4450-8c4a-dadfbe39034b.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": "bria:21@2",
            "providerSettings": {
                "bria": {
                    "edit": "colorize",
                    "color": "contemporary color"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/35947931-083f-4450-8c4a-dadfbe39034b.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "a8184e6a-8f4e-4563-a812-851663fda687",
      "model": "bria:21@2",
      "providerSettings": {
        "bria": {
          "edit": "colorize",
          "color": "contemporary color"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/35947931-083f-4450-8c4a-dadfbe39034b.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  providerSettings.bria.edit=colorize \
  providerSettings.bria.color="contemporary color" \
  inputs.image=https://assets.runware.ai/assets/inputs/35947931-083f-4450-8c4a-dadfbe39034b.jpg
{
  "taskType": "imageInference",
  "taskUUID": "a8184e6a-8f4e-4563-a812-851663fda687",
  "model": "bria:21@2",
  "providerSettings": {
    "bria": {
      "edit": "colorize",
      "color": "contemporary color"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/35947931-083f-4450-8c4a-dadfbe39034b.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "a8184e6a-8f4e-4563-a812-851663fda687",
  "imageUUID": "6a9a088e-be08-46c5-b4fa-6a7cd4695529",
  "imageURL": "https://im.runware.ai/image/os/a04d20/ws/3/ii/6a9a088e-be08-46c5-b4fa-6a7cd4695529.jpg",
  "seed": 551870773,
  "cost": 0.04
}

restore

Saturation Diver Archive Headshot$0.04~22s
Saturation Diver Archive Headshot
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: 'bria:21@2',
  providerSettings: {
    bria: {
      edit: 'restore'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/8f62704d-825f-4eb3-a971-39469cfeb806.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": "bria:21@2",
            "providerSettings": {
                "bria": {
                    "edit": "restore"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/8f62704d-825f-4eb3-a971-39469cfeb806.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "a08e76e4-50ce-40e5-badb-2485eac27210",
      "model": "bria:21@2",
      "providerSettings": {
        "bria": {
          "edit": "restore"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/8f62704d-825f-4eb3-a971-39469cfeb806.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  providerSettings.bria.edit=restore \
  inputs.image=https://assets.runware.ai/assets/inputs/8f62704d-825f-4eb3-a971-39469cfeb806.jpg
{
  "taskType": "imageInference",
  "taskUUID": "a08e76e4-50ce-40e5-badb-2485eac27210",
  "model": "bria:21@2",
  "providerSettings": {
    "bria": {
      "edit": "restore"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/8f62704d-825f-4eb3-a971-39469cfeb806.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "a08e76e4-50ce-40e5-badb-2485eac27210",
  "imageUUID": "d4f23328-568b-4bef-aa53-b53034ca822f",
  "imageURL": "https://im.runware.ai/image/os/a10dlim3/ws/3/ii/d4f23328-568b-4bef-aa53-b53034ca822f.jpg",
  "seed": 895979612,
  "cost": 0.04
}

reseason

Prefab Sauna Winter Variant$0.04~24s
Prefab Sauna Winter Variant
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: 'bria:21@2',
  providerSettings: {
    bria: {
      edit: 'reseason',
      season: 'winter'
    }
  },
  inputs: {
    image: 'https://assets.runware.ai/assets/inputs/dec2bcaf-f056-48a4-89dd-54ee84969df7.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": "bria:21@2",
            "providerSettings": {
                "bria": {
                    "edit": "reseason",
                    "season": "winter"
                }
            },
            "inputs": {
                "image": "https://assets.runware.ai/assets/inputs/dec2bcaf-f056-48a4-89dd-54ee84969df7.jpg"
            }
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "30935fd8-9015-4406-b50a-8b23ff03240e",
      "model": "bria:21@2",
      "providerSettings": {
        "bria": {
          "edit": "reseason",
          "season": "winter"
        }
      },
      "inputs": {
        "image": "https://assets.runware.ai/assets/inputs/dec2bcaf-f056-48a4-89dd-54ee84969df7.jpg"
      }
    }
  ]'
runware run bria:21@2 \
  providerSettings.bria.edit=reseason \
  providerSettings.bria.season=winter \
  inputs.image=https://assets.runware.ai/assets/inputs/dec2bcaf-f056-48a4-89dd-54ee84969df7.jpg
{
  "taskType": "imageInference",
  "taskUUID": "30935fd8-9015-4406-b50a-8b23ff03240e",
  "model": "bria:21@2",
  "providerSettings": {
    "bria": {
      "edit": "reseason",
      "season": "winter"
    }
  },
  "inputs": {
    "image": "https://assets.runware.ai/assets/inputs/dec2bcaf-f056-48a4-89dd-54ee84969df7.jpg"
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "30935fd8-9015-4406-b50a-8b23ff03240e",
  "imageUUID": "9e6335b7-d349-4528-84b9-69370f1abe87",
  "imageURL": "https://im.runware.ai/image/os/a01d21/ws/3/ii/9e6335b7-d349-4528-84b9-69370f1abe87.jpg",
  "seed": 1866764419,
  "cost": 0.04
}
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