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MODEL IDrunway:4@1

Runway Gen-4 Image

Runway
by

Runway Gen-4 Image is a text-to-image model for production work. It offers strong prompt adherence, fine stylistic control, and visual consistency across scenes and characters. Ideal for pipelines that link still images into video while preserving look and layout.

Runway Gen-4 Image

text-to-image

Urban Beekeeper Editorial Headshot$0.08~29s
Urban Beekeeper Editorial Headshot

Finished editorial headshot of a 58-year-old female urban beekeeper on a sunlit city rooftop apiary, framed head-and-shoulders in a landscape composition with generous negative space to the right. She has a silver braid, calm direct gaze, sun-weathered features, and wears a clean ochre canvas work jacket with her folded cream beekeeping veil resting behind her collar. Warm honeycomb frames and small green rooftop planters fall into soft focus behind her, with a distant brick skyline. Refined professional portrait retouching: even but believable skin tone, softened temporary blemishes and under-eye shadows, controlled flyaway hairs, clear bright eyes, realistic pores, fine lines, and natural facial texture preserved. Soft late-afternoon sunlight shaped by a large diffuser, subtle golden rim light, crisp catchlights, warm amber, cream, sage, and cobalt palette, premium environmental portrait photography, 85mm lens look, shallow depth of field, no text, no logo.

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: 'runway:4@1',
  positivePrompt: 'Finished editorial headshot of a 58-year-old female urban beekeeper on a sunlit city rooftop apiary, framed head-and-shoulders in a landscape composition with generous negative space to the right. She has a silver braid, calm direct gaze, sun-weathered features, and wears a clean ochre canvas work jacket with her folded cream beekeeping veil resting behind her collar. Warm honeycomb frames and small green rooftop planters fall into soft focus behind her, with a distant brick skyline. Refined professional portrait retouching: even but believable skin tone, softened temporary blemishes and under-eye shadows, controlled flyaway hairs, clear bright eyes, realistic pores, fine lines, and natural facial texture preserved. Soft late-afternoon sunlight shaped by a large diffuser, subtle golden rim light, crisp catchlights, warm amber, cream, sage, and cobalt palette, premium environmental portrait photography, 85mm lens look, shallow depth of field, no text, no logo.',
  width: 1360,
  height: 768
})
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": "runway:4@1",
            "positivePrompt": "Finished editorial headshot of a 58-year-old female urban beekeeper on a sunlit city rooftop apiary, framed head-and-shoulders in a landscape composition with generous negative space to the right. She has a silver braid, calm direct gaze, sun-weathered features, and wears a clean ochre canvas work jacket with her folded cream beekeeping veil resting behind her collar. Warm honeycomb frames and small green rooftop planters fall into soft focus behind her, with a distant brick skyline. Refined professional portrait retouching: even but believable skin tone, softened temporary blemishes and under-eye shadows, controlled flyaway hairs, clear bright eyes, realistic pores, fine lines, and natural facial texture preserved. Soft late-afternoon sunlight shaped by a large diffuser, subtle golden rim light, crisp catchlights, warm amber, cream, sage, and cobalt palette, premium environmental portrait photography, 85mm lens look, shallow depth of field, no text, no logo.",
            "width": 1360,
            "height": 768
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "d80d09be-62e7-4e07-b5ee-ea9641371eb1",
      "model": "runway:4@1",
      "positivePrompt": "Finished editorial headshot of a 58-year-old female urban beekeeper on a sunlit city rooftop apiary, framed head-and-shoulders in a landscape composition with generous negative space to the right. She has a silver braid, calm direct gaze, sun-weathered features, and wears a clean ochre canvas work jacket with her folded cream beekeeping veil resting behind her collar. Warm honeycomb frames and small green rooftop planters fall into soft focus behind her, with a distant brick skyline. Refined professional portrait retouching: even but believable skin tone, softened temporary blemishes and under-eye shadows, controlled flyaway hairs, clear bright eyes, realistic pores, fine lines, and natural facial texture preserved. Soft late-afternoon sunlight shaped by a large diffuser, subtle golden rim light, crisp catchlights, warm amber, cream, sage, and cobalt palette, premium environmental portrait photography, 85mm lens look, shallow depth of field, no text, no logo.",
      "width": 1360,
      "height": 768
    }
  ]'
runware run runway:4@1 \
  positivePrompt="Finished editorial headshot of a 58-year-old female urban beekeeper on a sunlit city rooftop apiary, framed head-and-shoulders in a landscape composition with generous negative space to the right. She has a silver braid, calm direct gaze, sun-weathered features, and wears a clean ochre canvas work jacket with her folded cream beekeeping veil resting behind her collar. Warm honeycomb frames and small green rooftop planters fall into soft focus behind her, with a distant brick skyline. Refined professional portrait retouching: even but believable skin tone, softened temporary blemishes and under-eye shadows, controlled flyaway hairs, clear bright eyes, realistic pores, fine lines, and natural facial texture preserved. Soft late-afternoon sunlight shaped by a large diffuser, subtle golden rim light, crisp catchlights, warm amber, cream, sage, and cobalt palette, premium environmental portrait photography, 85mm lens look, shallow depth of field, no text, no logo." \
  width=1360 \
  height=768
{
  "taskType": "imageInference",
  "taskUUID": "d80d09be-62e7-4e07-b5ee-ea9641371eb1",
  "model": "runway:4@1",
  "positivePrompt": "Finished editorial headshot of a 58-year-old female urban beekeeper on a sunlit city rooftop apiary, framed head-and-shoulders in a landscape composition with generous negative space to the right. She has a silver braid, calm direct gaze, sun-weathered features, and wears a clean ochre canvas work jacket with her folded cream beekeeping veil resting behind her collar. Warm honeycomb frames and small green rooftop planters fall into soft focus behind her, with a distant brick skyline. Refined professional portrait retouching: even but believable skin tone, softened temporary blemishes and under-eye shadows, controlled flyaway hairs, clear bright eyes, realistic pores, fine lines, and natural facial texture preserved. Soft late-afternoon sunlight shaped by a large diffuser, subtle golden rim light, crisp catchlights, warm amber, cream, sage, and cobalt palette, premium environmental portrait photography, 85mm lens look, shallow depth of field, no text, no logo.",
  "width": 1360,
  "height": 768
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "d80d09be-62e7-4e07-b5ee-ea9641371eb1",
  "imageUUID": "aec85f70-45b0-44b6-bbb6-1cc7fbe9674d",
  "imageURL": "https://im.runware.ai/image/os/a08dlim3/ws/3/ii/aec85f70-45b0-44b6-bbb6-1cc7fbe9674d.jpg",
  "seed": 1319654769,
  "cost": 0.08
}

text-to-image

Opera Wardrobe Banner Expansion$0.08~30s
Opera Wardrobe Banner Expansion

Create a finished 16:9 panoramic outpaint-style image for an opera company’s behind-the-scenes season campaign. Treat the central vertical slice as the original tight composition: a dress form wearing an unfinished coral-red silk opera gown, one sleeve pinned and chalk tailoring marks visible, with a veteran costume maker adjusting the jeweled collar. Extend the scene seamlessly into a working wardrobe studio on both sides: long cutting tables, kraft-paper patterns, spools of vivid thread, scissors, fabric rolls, a second dress form, and organized rails of period costumes receding into depth. Warm tungsten task lamps mix with soft daylight from high factory windows, creating tactile highlights on silk and worn wood. Editorial documentary photography, elegant but authentic, restrained coral, mustard, teal, and cream palette. Preserve clear negative space at far left for campaign copy. Natural perspective, no seams, borders, logos, or lettering.

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: 'runway:4@1',
  positivePrompt: 'Create a finished 16:9 panoramic outpaint-style image for an opera company’s behind-the-scenes season campaign. Treat the central vertical slice as the original tight composition: a dress form wearing an unfinished coral-red silk opera gown, one sleeve pinned and chalk tailoring marks visible, with a veteran costume maker adjusting the jeweled collar. Extend the scene seamlessly into a working wardrobe studio on both sides: long cutting tables, kraft-paper patterns, spools of vivid thread, scissors, fabric rolls, a second dress form, and organized rails of period costumes receding into depth. Warm tungsten task lamps mix with soft daylight from high factory windows, creating tactile highlights on silk and worn wood. Editorial documentary photography, elegant but authentic, restrained coral, mustard, teal, and cream palette. Preserve clear negative space at far left for campaign copy. Natural perspective, no seams, borders, logos, or lettering.',
  width: 1360,
  height: 768
})
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": "runway:4@1",
            "positivePrompt": "Create a finished 16:9 panoramic outpaint-style image for an opera company’s behind-the-scenes season campaign. Treat the central vertical slice as the original tight composition: a dress form wearing an unfinished coral-red silk opera gown, one sleeve pinned and chalk tailoring marks visible, with a veteran costume maker adjusting the jeweled collar. Extend the scene seamlessly into a working wardrobe studio on both sides: long cutting tables, kraft-paper patterns, spools of vivid thread, scissors, fabric rolls, a second dress form, and organized rails of period costumes receding into depth. Warm tungsten task lamps mix with soft daylight from high factory windows, creating tactile highlights on silk and worn wood. Editorial documentary photography, elegant but authentic, restrained coral, mustard, teal, and cream palette. Preserve clear negative space at far left for campaign copy. Natural perspective, no seams, borders, logos, or lettering.",
            "width": 1360,
            "height": 768
        })


asyncio.run(main())
curl https://api.runware.ai/v1 \
  -H "Authorization: Bearer $RUNWARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[
    {
      "taskType": "imageInference",
      "taskUUID": "4e715c56-6454-4ff7-8fa8-787c36323c49",
      "model": "runway:4@1",
      "positivePrompt": "Create a finished 16:9 panoramic outpaint-style image for an opera company’s behind-the-scenes season campaign. Treat the central vertical slice as the original tight composition: a dress form wearing an unfinished coral-red silk opera gown, one sleeve pinned and chalk tailoring marks visible, with a veteran costume maker adjusting the jeweled collar. Extend the scene seamlessly into a working wardrobe studio on both sides: long cutting tables, kraft-paper patterns, spools of vivid thread, scissors, fabric rolls, a second dress form, and organized rails of period costumes receding into depth. Warm tungsten task lamps mix with soft daylight from high factory windows, creating tactile highlights on silk and worn wood. Editorial documentary photography, elegant but authentic, restrained coral, mustard, teal, and cream palette. Preserve clear negative space at far left for campaign copy. Natural perspective, no seams, borders, logos, or lettering.",
      "width": 1360,
      "height": 768
    }
  ]'
runware run runway:4@1 \
  positivePrompt="Create a finished 16:9 panoramic outpaint-style image for an opera company’s behind-the-scenes season campaign. Treat the central vertical slice as the original tight composition: a dress form wearing an unfinished coral-red silk opera gown, one sleeve pinned and chalk tailoring marks visible, with a veteran costume maker adjusting the jeweled collar. Extend the scene seamlessly into a working wardrobe studio on both sides: long cutting tables, kraft-paper patterns, spools of vivid thread, scissors, fabric rolls, a second dress form, and organized rails of period costumes receding into depth. Warm tungsten task lamps mix with soft daylight from high factory windows, creating tactile highlights on silk and worn wood. Editorial documentary photography, elegant but authentic, restrained coral, mustard, teal, and cream palette. Preserve clear negative space at far left for campaign copy. Natural perspective, no seams, borders, logos, or lettering." \
  width=1360 \
  height=768
{
  "taskType": "imageInference",
  "taskUUID": "4e715c56-6454-4ff7-8fa8-787c36323c49",
  "model": "runway:4@1",
  "positivePrompt": "Create a finished 16:9 panoramic outpaint-style image for an opera company’s behind-the-scenes season campaign. Treat the central vertical slice as the original tight composition: a dress form wearing an unfinished coral-red silk opera gown, one sleeve pinned and chalk tailoring marks visible, with a veteran costume maker adjusting the jeweled collar. Extend the scene seamlessly into a working wardrobe studio on both sides: long cutting tables, kraft-paper patterns, spools of vivid thread, scissors, fabric rolls, a second dress form, and organized rails of period costumes receding into depth. Warm tungsten task lamps mix with soft daylight from high factory windows, creating tactile highlights on silk and worn wood. Editorial documentary photography, elegant but authentic, restrained coral, mustard, teal, and cream palette. Preserve clear negative space at far left for campaign copy. Natural perspective, no seams, borders, logos, or lettering.",
  "width": 1360,
  "height": 768
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "4e715c56-6454-4ff7-8fa8-787c36323c49",
  "imageUUID": "62d37ae3-0cba-46f3-994f-968dcbc8be4a",
  "imageURL": "https://im.runware.ai/image/os/a10dlim3/ws/3/ii/62d37ae3-0cba-46f3-994f-968dcbc8be4a.jpg",
  "seed": 382210763,
  "cost": 0.08
}

reference-to-image

Maritime Artifact Exhibition Hero$0.08~38s
Maritime Artifact Exhibition Hero

Create a finished portrait-format exhibition hero photograph using the reference image as the exact subject guide. Preserve the antique copper diving helmet’s shape, proportions, circular ports, patina, dents, rivets, and brass fittings. Replace the plain studio background with a working maritime museum conservation laboratory: the helmet rests on a padded archival workbench beside folded unbleached cotton, small wooden-handled conservation tools, handwritten condition tags, and blurred shelving of ship instruments. Warm raking afternoon sunlight through tall industrial windows, chalky plaster walls, muted copper, sea green, canvas, and ivory palette. Quiet documentary realism, tactile material detail, restrained museum editorial art direction, shallow depth of field. Helmet dominant in the lower center with generous clean negative space above for optional exhibition copy; no people, logos, labels, or readable 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: 'runway:4@1',
  positivePrompt: 'Create a finished portrait-format exhibition hero photograph using the reference image as the exact subject guide. Preserve the antique copper diving helmet’s shape, proportions, circular ports, patina, dents, rivets, and brass fittings. Replace the plain studio background with a working maritime museum conservation laboratory: the helmet rests on a padded archival workbench beside folded unbleached cotton, small wooden-handled conservation tools, handwritten condition tags, and blurred shelving of ship instruments. Warm raking afternoon sunlight through tall industrial windows, chalky plaster walls, muted copper, sea green, canvas, and ivory palette. Quiet documentary realism, tactile material detail, restrained museum editorial art direction, shallow depth of field. Helmet dominant in the lower center with generous clean negative space above for optional exhibition copy; no people, logos, labels, or readable text.',
  width: 1080,
  height: 1440,
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/bad3014d-19f2-449f-8459-a9a524ab74a7.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": "runway:4@1",
            "positivePrompt": "Create a finished portrait-format exhibition hero photograph using the reference image as the exact subject guide. Preserve the antique copper diving helmet’s shape, proportions, circular ports, patina, dents, rivets, and brass fittings. Replace the plain studio background with a working maritime museum conservation laboratory: the helmet rests on a padded archival workbench beside folded unbleached cotton, small wooden-handled conservation tools, handwritten condition tags, and blurred shelving of ship instruments. Warm raking afternoon sunlight through tall industrial windows, chalky plaster walls, muted copper, sea green, canvas, and ivory palette. Quiet documentary realism, tactile material detail, restrained museum editorial art direction, shallow depth of field. Helmet dominant in the lower center with generous clean negative space above for optional exhibition copy; no people, logos, labels, or readable text.",
            "width": 1080,
            "height": 1440,
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/bad3014d-19f2-449f-8459-a9a524ab74a7.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": "d4869db7-876e-4170-be8e-d70b80aa725d",
      "model": "runway:4@1",
      "positivePrompt": "Create a finished portrait-format exhibition hero photograph using the reference image as the exact subject guide. Preserve the antique copper diving helmet’s shape, proportions, circular ports, patina, dents, rivets, and brass fittings. Replace the plain studio background with a working maritime museum conservation laboratory: the helmet rests on a padded archival workbench beside folded unbleached cotton, small wooden-handled conservation tools, handwritten condition tags, and blurred shelving of ship instruments. Warm raking afternoon sunlight through tall industrial windows, chalky plaster walls, muted copper, sea green, canvas, and ivory palette. Quiet documentary realism, tactile material detail, restrained museum editorial art direction, shallow depth of field. Helmet dominant in the lower center with generous clean negative space above for optional exhibition copy; no people, logos, labels, or readable text.",
      "width": 1080,
      "height": 1440,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/bad3014d-19f2-449f-8459-a9a524ab74a7.jpg"
        ]
      }
    }
  ]'
runware run runway:4@1 \
  positivePrompt="Create a finished portrait-format exhibition hero photograph using the reference image as the exact subject guide. Preserve the antique copper diving helmet’s shape, proportions, circular ports, patina, dents, rivets, and brass fittings. Replace the plain studio background with a working maritime museum conservation laboratory: the helmet rests on a padded archival workbench beside folded unbleached cotton, small wooden-handled conservation tools, handwritten condition tags, and blurred shelving of ship instruments. Warm raking afternoon sunlight through tall industrial windows, chalky plaster walls, muted copper, sea green, canvas, and ivory palette. Quiet documentary realism, tactile material detail, restrained museum editorial art direction, shallow depth of field. Helmet dominant in the lower center with generous clean negative space above for optional exhibition copy; no people, logos, labels, or readable text." \
  width=1080 \
  height=1440 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/bad3014d-19f2-449f-8459-a9a524ab74a7.jpg
{
  "taskType": "imageInference",
  "taskUUID": "d4869db7-876e-4170-be8e-d70b80aa725d",
  "model": "runway:4@1",
  "positivePrompt": "Create a finished portrait-format exhibition hero photograph using the reference image as the exact subject guide. Preserve the antique copper diving helmet’s shape, proportions, circular ports, patina, dents, rivets, and brass fittings. Replace the plain studio background with a working maritime museum conservation laboratory: the helmet rests on a padded archival workbench beside folded unbleached cotton, small wooden-handled conservation tools, handwritten condition tags, and blurred shelving of ship instruments. Warm raking afternoon sunlight through tall industrial windows, chalky plaster walls, muted copper, sea green, canvas, and ivory palette. Quiet documentary realism, tactile material detail, restrained museum editorial art direction, shallow depth of field. Helmet dominant in the lower center with generous clean negative space above for optional exhibition copy; no people, logos, labels, or readable text.",
  "width": 1080,
  "height": 1440,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/bad3014d-19f2-449f-8459-a9a524ab74a7.jpg"
    ]
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "d4869db7-876e-4170-be8e-d70b80aa725d",
  "imageUUID": "3bb0a1ba-58fa-4a80-b548-d45c72abf936",
  "imageURL": "https://im.runware.ai/image/os/a09dlim3/ws/3/ii/3bb0a1ba-58fa-4a80-b548-d45c72abf936.jpg",
  "seed": 1325497991,
  "cost": 0.08
}

reference-to-image

Wildfire Strategy Game Key Art$0.08~1m 11s
Wildfire Strategy Game Key Art

Finished portrait key art for a premium tactical wildfire-response game. Use reference image 1 to preserve the firefighter’s recognizable face, uniform, equipment and strong silhouette; place her full figure in the lower center, gripping a Pulaski axe while studying the advancing fire. Use reference image 2 for the pine terrain, low flame front, smoke-column structure and distant helicopter composition. Behind her, a crew cuts a firebreak across a steep ochre ridge. Hand-painted 1970s disaster-film gouache style with bold screen-printed shapes, ember orange, sulfur yellow, soot black and muted sage green. Heroic but grounded, tense operational realism, layered smoke creating depth, crisp readable forms, dramatic rim light. Compose vertically with uncluttered smoky negative space across the upper quarter for a separately added game logo. No text, borders, UI, HUD or mockup.

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: 'runway:4@1',
  positivePrompt: 'Finished portrait key art for a premium tactical wildfire-response game. Use reference image 1 to preserve the firefighter’s recognizable face, uniform, equipment and strong silhouette; place her full figure in the lower center, gripping a Pulaski axe while studying the advancing fire. Use reference image 2 for the pine terrain, low flame front, smoke-column structure and distant helicopter composition. Behind her, a crew cuts a firebreak across a steep ochre ridge. Hand-painted 1970s disaster-film gouache style with bold screen-printed shapes, ember orange, sulfur yellow, soot black and muted sage green. Heroic but grounded, tense operational realism, layered smoke creating depth, crisp readable forms, dramatic rim light. Compose vertically with uncluttered smoky negative space across the upper quarter for a separately added game logo. No text, borders, UI, HUD or mockup.',
  width: 1080,
  height: 1440,
  inputs: {
    referenceImages: [
      'https://assets.runware.ai/assets/inputs/abe24ecc-c4a3-43f3-907d-23d47dfb0a1b.jpg',
      'https://assets.runware.ai/assets/inputs/3b8af48e-71af-414b-8578-1dd4bf933322.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": "runway:4@1",
            "positivePrompt": "Finished portrait key art for a premium tactical wildfire-response game. Use reference image 1 to preserve the firefighter’s recognizable face, uniform, equipment and strong silhouette; place her full figure in the lower center, gripping a Pulaski axe while studying the advancing fire. Use reference image 2 for the pine terrain, low flame front, smoke-column structure and distant helicopter composition. Behind her, a crew cuts a firebreak across a steep ochre ridge. Hand-painted 1970s disaster-film gouache style with bold screen-printed shapes, ember orange, sulfur yellow, soot black and muted sage green. Heroic but grounded, tense operational realism, layered smoke creating depth, crisp readable forms, dramatic rim light. Compose vertically with uncluttered smoky negative space across the upper quarter for a separately added game logo. No text, borders, UI, HUD or mockup.",
            "width": 1080,
            "height": 1440,
            "inputs": {
                "referenceImages": [
                    "https://assets.runware.ai/assets/inputs/abe24ecc-c4a3-43f3-907d-23d47dfb0a1b.jpg",
                    "https://assets.runware.ai/assets/inputs/3b8af48e-71af-414b-8578-1dd4bf933322.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": "6a611445-2e5e-4eda-83a2-ff693e2a9857",
      "model": "runway:4@1",
      "positivePrompt": "Finished portrait key art for a premium tactical wildfire-response game. Use reference image 1 to preserve the firefighter’s recognizable face, uniform, equipment and strong silhouette; place her full figure in the lower center, gripping a Pulaski axe while studying the advancing fire. Use reference image 2 for the pine terrain, low flame front, smoke-column structure and distant helicopter composition. Behind her, a crew cuts a firebreak across a steep ochre ridge. Hand-painted 1970s disaster-film gouache style with bold screen-printed shapes, ember orange, sulfur yellow, soot black and muted sage green. Heroic but grounded, tense operational realism, layered smoke creating depth, crisp readable forms, dramatic rim light. Compose vertically with uncluttered smoky negative space across the upper quarter for a separately added game logo. No text, borders, UI, HUD or mockup.",
      "width": 1080,
      "height": 1440,
      "inputs": {
        "referenceImages": [
          "https://assets.runware.ai/assets/inputs/abe24ecc-c4a3-43f3-907d-23d47dfb0a1b.jpg",
          "https://assets.runware.ai/assets/inputs/3b8af48e-71af-414b-8578-1dd4bf933322.jpg"
        ]
      }
    }
  ]'
runware run runway:4@1 \
  positivePrompt="Finished portrait key art for a premium tactical wildfire-response game. Use reference image 1 to preserve the firefighter’s recognizable face, uniform, equipment and strong silhouette; place her full figure in the lower center, gripping a Pulaski axe while studying the advancing fire. Use reference image 2 for the pine terrain, low flame front, smoke-column structure and distant helicopter composition. Behind her, a crew cuts a firebreak across a steep ochre ridge. Hand-painted 1970s disaster-film gouache style with bold screen-printed shapes, ember orange, sulfur yellow, soot black and muted sage green. Heroic but grounded, tense operational realism, layered smoke creating depth, crisp readable forms, dramatic rim light. Compose vertically with uncluttered smoky negative space across the upper quarter for a separately added game logo. No text, borders, UI, HUD or mockup." \
  width=1080 \
  height=1440 \
  inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/abe24ecc-c4a3-43f3-907d-23d47dfb0a1b.jpg \
  inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/3b8af48e-71af-414b-8578-1dd4bf933322.jpg
{
  "taskType": "imageInference",
  "taskUUID": "6a611445-2e5e-4eda-83a2-ff693e2a9857",
  "model": "runway:4@1",
  "positivePrompt": "Finished portrait key art for a premium tactical wildfire-response game. Use reference image 1 to preserve the firefighter’s recognizable face, uniform, equipment and strong silhouette; place her full figure in the lower center, gripping a Pulaski axe while studying the advancing fire. Use reference image 2 for the pine terrain, low flame front, smoke-column structure and distant helicopter composition. Behind her, a crew cuts a firebreak across a steep ochre ridge. Hand-painted 1970s disaster-film gouache style with bold screen-printed shapes, ember orange, sulfur yellow, soot black and muted sage green. Heroic but grounded, tense operational realism, layered smoke creating depth, crisp readable forms, dramatic rim light. Compose vertically with uncluttered smoky negative space across the upper quarter for a separately added game logo. No text, borders, UI, HUD or mockup.",
  "width": 1080,
  "height": 1440,
  "inputs": {
    "referenceImages": [
      "https://assets.runware.ai/assets/inputs/abe24ecc-c4a3-43f3-907d-23d47dfb0a1b.jpg",
      "https://assets.runware.ai/assets/inputs/3b8af48e-71af-414b-8578-1dd4bf933322.jpg"
    ]
  }
}
Response
{
  "taskType": "imageInference",
  "taskUUID": "6a611445-2e5e-4eda-83a2-ff693e2a9857",
  "imageUUID": "aff78b9c-bdb6-4edc-bafe-8c01cc03f85c",
  "imageURL": "https://im.runware.ai/image/os/a01d21/ws/3/ii/aff78b9c-bdb6-4edc-bafe-8c01cc03f85c.jpg",
  "seed": 438252194,
  "cost": 0.08
}