Runway Gen-4 Image Turbo

Runway Gen-4 Image Turbo is a faster Gen-4 image model for teams that need quick visual iteration. Generate concepts in seconds from text prompts or references while preserving key style and composition control. Ideal for testing ideas before higher cost image workflows.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
reference-to-image
Sound Archive Exhibition Hero Image$0.02~20s
Outpaint the reference into a cohesive 16:9 landscape museum exhibition hero image. Preserve the conservator, wax cylinder, clothing, hands, workbench, lighting, and documentary realism from the source. Extend the scene naturally on both sides: shadowed floor-to-ceiling archival shelving with rows of cylindrical storage cases on the left; a period phonograph horn, precision cleaning tools, cotton swabs, and softly glowing brass task lamp on the right. Create generous dark negative space in the upper-left for later editorial layout, but include no lettering. Warm tungsten highlights, deep umber wood, muted oxidized green, quiet scholarly mood, subtle film grain, shallow depth of field, authentic conservation lab details, seamless perspective and illumination.
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@2',
positivePrompt: 'Outpaint the reference into a cohesive 16:9 landscape museum exhibition hero image. Preserve the conservator, wax cylinder, clothing, hands, workbench, lighting, and documentary realism from the source. Extend the scene naturally on both sides: shadowed floor-to-ceiling archival shelving with rows of cylindrical storage cases on the left; a period phonograph horn, precision cleaning tools, cotton swabs, and softly glowing brass task lamp on the right. Create generous dark negative space in the upper-left for later editorial layout, but include no lettering. Warm tungsten highlights, deep umber wood, muted oxidized green, quiet scholarly mood, subtle film grain, shallow depth of field, authentic conservation lab details, seamless perspective and illumination.',
width: 1360,
height: 768,
inputs: {
referenceImages: [
'https://assets.runware.ai/assets/inputs/a64bf0e2-4c04-4031-82f3-17013c10289e.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@2",
"positivePrompt": "Outpaint the reference into a cohesive 16:9 landscape museum exhibition hero image. Preserve the conservator, wax cylinder, clothing, hands, workbench, lighting, and documentary realism from the source. Extend the scene naturally on both sides: shadowed floor-to-ceiling archival shelving with rows of cylindrical storage cases on the left; a period phonograph horn, precision cleaning tools, cotton swabs, and softly glowing brass task lamp on the right. Create generous dark negative space in the upper-left for later editorial layout, but include no lettering. Warm tungsten highlights, deep umber wood, muted oxidized green, quiet scholarly mood, subtle film grain, shallow depth of field, authentic conservation lab details, seamless perspective and illumination.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/a64bf0e2-4c04-4031-82f3-17013c10289e.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": "c1813126-73a5-4602-8b28-336c901bfb30",
"model": "runway:4@2",
"positivePrompt": "Outpaint the reference into a cohesive 16:9 landscape museum exhibition hero image. Preserve the conservator, wax cylinder, clothing, hands, workbench, lighting, and documentary realism from the source. Extend the scene naturally on both sides: shadowed floor-to-ceiling archival shelving with rows of cylindrical storage cases on the left; a period phonograph horn, precision cleaning tools, cotton swabs, and softly glowing brass task lamp on the right. Create generous dark negative space in the upper-left for later editorial layout, but include no lettering. Warm tungsten highlights, deep umber wood, muted oxidized green, quiet scholarly mood, subtle film grain, shallow depth of field, authentic conservation lab details, seamless perspective and illumination.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/a64bf0e2-4c04-4031-82f3-17013c10289e.jpg"
]
}
}
]'runware run runway:4@2 \
positivePrompt="Outpaint the reference into a cohesive 16:9 landscape museum exhibition hero image. Preserve the conservator, wax cylinder, clothing, hands, workbench, lighting, and documentary realism from the source. Extend the scene naturally on both sides: shadowed floor-to-ceiling archival shelving with rows of cylindrical storage cases on the left; a period phonograph horn, precision cleaning tools, cotton swabs, and softly glowing brass task lamp on the right. Create generous dark negative space in the upper-left for later editorial layout, but include no lettering. Warm tungsten highlights, deep umber wood, muted oxidized green, quiet scholarly mood, subtle film grain, shallow depth of field, authentic conservation lab details, seamless perspective and illumination." \
width=1360 \
height=768 \
inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/a64bf0e2-4c04-4031-82f3-17013c10289e.jpg{
"taskType": "imageInference",
"taskUUID": "c1813126-73a5-4602-8b28-336c901bfb30",
"model": "runway:4@2",
"positivePrompt": "Outpaint the reference into a cohesive 16:9 landscape museum exhibition hero image. Preserve the conservator, wax cylinder, clothing, hands, workbench, lighting, and documentary realism from the source. Extend the scene naturally on both sides: shadowed floor-to-ceiling archival shelving with rows of cylindrical storage cases on the left; a period phonograph horn, precision cleaning tools, cotton swabs, and softly glowing brass task lamp on the right. Create generous dark negative space in the upper-left for later editorial layout, but include no lettering. Warm tungsten highlights, deep umber wood, muted oxidized green, quiet scholarly mood, subtle film grain, shallow depth of field, authentic conservation lab details, seamless perspective and illumination.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/a64bf0e2-4c04-4031-82f3-17013c10289e.jpg"
]
}
}Response
{
"taskType": "imageInference",
"taskUUID": "c1813126-73a5-4602-8b28-336c901bfb30",
"imageUUID": "f9cbb054-a55e-4bc5-8320-a3149a991123",
"imageURL": "https://im.runware.ai/image/os/a01d21/ws/3/ii/f9cbb054-a55e-4bc5-8320-a3149a991123.jpg",
"seed": 130476706,
"cost": 0.02
}reference-to-image
Winter Waterworks Relighting Visualization$0.02~25s
Create a winter blue-hour architectural relighting visualization. Preserve the first reference as the exact waterworks subject, camera position, composition, concrete geometry, pipes, basins and railings. Change the summer setting to midwinter: fresh snow on roofs and path edges, thin ice on still basins, cold indigo sky and faint sea haze. Apply the second reference only for lighting, seasonal palette and photographic finish: restrained warm amber uplights grazing each concrete rib, shielded low path lights and soft interior glow, with believable reflections on snow and metal. Keep the treatment plant operational, austere and technically credible; no redesign, fantasy elements, people, logos or text. Photorealistic professional lighting-design presentation, crisp landscape framing.
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@2',
positivePrompt: 'Create a winter blue-hour architectural relighting visualization. Preserve the first reference as the exact waterworks subject, camera position, composition, concrete geometry, pipes, basins and railings. Change the summer setting to midwinter: fresh snow on roofs and path edges, thin ice on still basins, cold indigo sky and faint sea haze. Apply the second reference only for lighting, seasonal palette and photographic finish: restrained warm amber uplights grazing each concrete rib, shielded low path lights and soft interior glow, with believable reflections on snow and metal. Keep the treatment plant operational, austere and technically credible; no redesign, fantasy elements, people, logos or text. Photorealistic professional lighting-design presentation, crisp landscape framing.',
width: 1360,
height: 768,
inputs: {
referenceImages: [
'https://assets.runware.ai/assets/inputs/4f93671b-614e-49ac-a7a5-f927a2a93b73.jpg',
'https://assets.runware.ai/assets/inputs/829197ba-9fd7-461d-9e52-e0305fbfeafc.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@2",
"positivePrompt": "Create a winter blue-hour architectural relighting visualization. Preserve the first reference as the exact waterworks subject, camera position, composition, concrete geometry, pipes, basins and railings. Change the summer setting to midwinter: fresh snow on roofs and path edges, thin ice on still basins, cold indigo sky and faint sea haze. Apply the second reference only for lighting, seasonal palette and photographic finish: restrained warm amber uplights grazing each concrete rib, shielded low path lights and soft interior glow, with believable reflections on snow and metal. Keep the treatment plant operational, austere and technically credible; no redesign, fantasy elements, people, logos or text. Photorealistic professional lighting-design presentation, crisp landscape framing.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/4f93671b-614e-49ac-a7a5-f927a2a93b73.jpg",
"https://assets.runware.ai/assets/inputs/829197ba-9fd7-461d-9e52-e0305fbfeafc.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": "e1bb3644-5938-4a7d-a33f-a47af32d5c93",
"model": "runway:4@2",
"positivePrompt": "Create a winter blue-hour architectural relighting visualization. Preserve the first reference as the exact waterworks subject, camera position, composition, concrete geometry, pipes, basins and railings. Change the summer setting to midwinter: fresh snow on roofs and path edges, thin ice on still basins, cold indigo sky and faint sea haze. Apply the second reference only for lighting, seasonal palette and photographic finish: restrained warm amber uplights grazing each concrete rib, shielded low path lights and soft interior glow, with believable reflections on snow and metal. Keep the treatment plant operational, austere and technically credible; no redesign, fantasy elements, people, logos or text. Photorealistic professional lighting-design presentation, crisp landscape framing.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/4f93671b-614e-49ac-a7a5-f927a2a93b73.jpg",
"https://assets.runware.ai/assets/inputs/829197ba-9fd7-461d-9e52-e0305fbfeafc.jpg"
]
}
}
]'runware run runway:4@2 \
positivePrompt="Create a winter blue-hour architectural relighting visualization. Preserve the first reference as the exact waterworks subject, camera position, composition, concrete geometry, pipes, basins and railings. Change the summer setting to midwinter: fresh snow on roofs and path edges, thin ice on still basins, cold indigo sky and faint sea haze. Apply the second reference only for lighting, seasonal palette and photographic finish: restrained warm amber uplights grazing each concrete rib, shielded low path lights and soft interior glow, with believable reflections on snow and metal. Keep the treatment plant operational, austere and technically credible; no redesign, fantasy elements, people, logos or text. Photorealistic professional lighting-design presentation, crisp landscape framing." \
width=1360 \
height=768 \
inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/4f93671b-614e-49ac-a7a5-f927a2a93b73.jpg \
inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/829197ba-9fd7-461d-9e52-e0305fbfeafc.jpg{
"taskType": "imageInference",
"taskUUID": "e1bb3644-5938-4a7d-a33f-a47af32d5c93",
"model": "runway:4@2",
"positivePrompt": "Create a winter blue-hour architectural relighting visualization. Preserve the first reference as the exact waterworks subject, camera position, composition, concrete geometry, pipes, basins and railings. Change the summer setting to midwinter: fresh snow on roofs and path edges, thin ice on still basins, cold indigo sky and faint sea haze. Apply the second reference only for lighting, seasonal palette and photographic finish: restrained warm amber uplights grazing each concrete rib, shielded low path lights and soft interior glow, with believable reflections on snow and metal. Keep the treatment plant operational, austere and technically credible; no redesign, fantasy elements, people, logos or text. Photorealistic professional lighting-design presentation, crisp landscape framing.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/4f93671b-614e-49ac-a7a5-f927a2a93b73.jpg",
"https://assets.runware.ai/assets/inputs/829197ba-9fd7-461d-9e52-e0305fbfeafc.jpg"
]
}
}Response
{
"taskType": "imageInference",
"taskUUID": "e1bb3644-5938-4a7d-a33f-a47af32d5c93",
"imageUUID": "3febf33e-2524-4280-9d11-85df21d81683",
"imageURL": "https://im.runware.ai/image/os/a03d21/ws/3/ii/3febf33e-2524-4280-9d11-85df21d81683.jpg",
"seed": 370352361,
"cost": 0.02
}reference-to-image
Historic Opera House Cleanup$0.02~21s
Create a finished architectural restoration photograph using reference image 1 as the exact guide for camera position, symmetrical composition, auditorium geometry, seating, balconies, stage, and lighting. Remove every worker and all restoration clutter, including scaffolding, lift, cables, buckets, plastic sheeting, cones, temporary lamps, and tools. Seamlessly generatively fill the areas they covered with complete proscenium plasterwork, uninterrupted stage floor, clean aisle carpet, and orderly velvet seating. Use reference image 2 to reconstruct the hidden ornament with matching aged gilt acanthus details, ivory plaster, burgundy drapery, floral panels, and authentic surface texture. Warm, dignified, freshly restored atmosphere; natural architectural photography, crisp detail, straight verticals, no signage or text.
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@2',
positivePrompt: 'Create a finished architectural restoration photograph using reference image 1 as the exact guide for camera position, symmetrical composition, auditorium geometry, seating, balconies, stage, and lighting. Remove every worker and all restoration clutter, including scaffolding, lift, cables, buckets, plastic sheeting, cones, temporary lamps, and tools. Seamlessly generatively fill the areas they covered with complete proscenium plasterwork, uninterrupted stage floor, clean aisle carpet, and orderly velvet seating. Use reference image 2 to reconstruct the hidden ornament with matching aged gilt acanthus details, ivory plaster, burgundy drapery, floral panels, and authentic surface texture. Warm, dignified, freshly restored atmosphere; natural architectural photography, crisp detail, straight verticals, no signage or text.',
width: 1360,
height: 768,
inputs: {
referenceImages: [
'https://assets.runware.ai/assets/inputs/0e013e24-78f5-4918-bf4f-cf292d48561b.jpg',
'https://assets.runware.ai/assets/inputs/021da9cf-2432-4b6e-9f92-8b93825b90ba.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@2",
"positivePrompt": "Create a finished architectural restoration photograph using reference image 1 as the exact guide for camera position, symmetrical composition, auditorium geometry, seating, balconies, stage, and lighting. Remove every worker and all restoration clutter, including scaffolding, lift, cables, buckets, plastic sheeting, cones, temporary lamps, and tools. Seamlessly generatively fill the areas they covered with complete proscenium plasterwork, uninterrupted stage floor, clean aisle carpet, and orderly velvet seating. Use reference image 2 to reconstruct the hidden ornament with matching aged gilt acanthus details, ivory plaster, burgundy drapery, floral panels, and authentic surface texture. Warm, dignified, freshly restored atmosphere; natural architectural photography, crisp detail, straight verticals, no signage or text.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/0e013e24-78f5-4918-bf4f-cf292d48561b.jpg",
"https://assets.runware.ai/assets/inputs/021da9cf-2432-4b6e-9f92-8b93825b90ba.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": "933306e7-87cf-493b-ab1b-b50e5f1cab0b",
"model": "runway:4@2",
"positivePrompt": "Create a finished architectural restoration photograph using reference image 1 as the exact guide for camera position, symmetrical composition, auditorium geometry, seating, balconies, stage, and lighting. Remove every worker and all restoration clutter, including scaffolding, lift, cables, buckets, plastic sheeting, cones, temporary lamps, and tools. Seamlessly generatively fill the areas they covered with complete proscenium plasterwork, uninterrupted stage floor, clean aisle carpet, and orderly velvet seating. Use reference image 2 to reconstruct the hidden ornament with matching aged gilt acanthus details, ivory plaster, burgundy drapery, floral panels, and authentic surface texture. Warm, dignified, freshly restored atmosphere; natural architectural photography, crisp detail, straight verticals, no signage or text.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/0e013e24-78f5-4918-bf4f-cf292d48561b.jpg",
"https://assets.runware.ai/assets/inputs/021da9cf-2432-4b6e-9f92-8b93825b90ba.jpg"
]
}
}
]'runware run runway:4@2 \
positivePrompt="Create a finished architectural restoration photograph using reference image 1 as the exact guide for camera position, symmetrical composition, auditorium geometry, seating, balconies, stage, and lighting. Remove every worker and all restoration clutter, including scaffolding, lift, cables, buckets, plastic sheeting, cones, temporary lamps, and tools. Seamlessly generatively fill the areas they covered with complete proscenium plasterwork, uninterrupted stage floor, clean aisle carpet, and orderly velvet seating. Use reference image 2 to reconstruct the hidden ornament with matching aged gilt acanthus details, ivory plaster, burgundy drapery, floral panels, and authentic surface texture. Warm, dignified, freshly restored atmosphere; natural architectural photography, crisp detail, straight verticals, no signage or text." \
width=1360 \
height=768 \
inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/0e013e24-78f5-4918-bf4f-cf292d48561b.jpg \
inputs.referenceImages.1=https://assets.runware.ai/assets/inputs/021da9cf-2432-4b6e-9f92-8b93825b90ba.jpg{
"taskType": "imageInference",
"taskUUID": "933306e7-87cf-493b-ab1b-b50e5f1cab0b",
"model": "runway:4@2",
"positivePrompt": "Create a finished architectural restoration photograph using reference image 1 as the exact guide for camera position, symmetrical composition, auditorium geometry, seating, balconies, stage, and lighting. Remove every worker and all restoration clutter, including scaffolding, lift, cables, buckets, plastic sheeting, cones, temporary lamps, and tools. Seamlessly generatively fill the areas they covered with complete proscenium plasterwork, uninterrupted stage floor, clean aisle carpet, and orderly velvet seating. Use reference image 2 to reconstruct the hidden ornament with matching aged gilt acanthus details, ivory plaster, burgundy drapery, floral panels, and authentic surface texture. Warm, dignified, freshly restored atmosphere; natural architectural photography, crisp detail, straight verticals, no signage or text.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/0e013e24-78f5-4918-bf4f-cf292d48561b.jpg",
"https://assets.runware.ai/assets/inputs/021da9cf-2432-4b6e-9f92-8b93825b90ba.jpg"
]
}
}Response
{
"taskType": "imageInference",
"taskUUID": "933306e7-87cf-493b-ab1b-b50e5f1cab0b",
"imageUUID": "1ffe0190-12bd-45b0-8923-10bf9f9396f0",
"imageURL": "https://im.runware.ai/image/os/a01d21/ws/3/ii/1ffe0190-12bd-45b0-8923-10bf9f9396f0.jpg",
"seed": 1356645034,
"cost": 0.02
}reference-to-image
Marbled Paper Atelier Editorial Panorama$0.02~26s
Transform the supplied vertical photograph into a seamless 16:9 panoramic editorial image by preserving the artisan, hands, apron, paper, pigment pattern, tray, lighting, and documentary realism in the center while outpainting substantial new workshop space on both sides. Extend the worn workbench naturally. On the left, reveal ceramic pigment bowls, horsehair brushes, awls, and stained glass jars near a softly glowing north-facing window. On the right, add a wooden drying rack holding several distinct marbled sheets and a small stack of hand-bound books. Maintain accurate perspective, believable tool scale, restrained depth of field, and continuous soft daylight. Rich mineral reds, ultramarine, ochre, cream, indigo, and aged wood; tactile, refined heritage-craft magazine photography. No lettering, logos, borders, duplicated hands, or repeated objects.
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@2',
positivePrompt: 'Transform the supplied vertical photograph into a seamless 16:9 panoramic editorial image by preserving the artisan, hands, apron, paper, pigment pattern, tray, lighting, and documentary realism in the center while outpainting substantial new workshop space on both sides. Extend the worn workbench naturally. On the left, reveal ceramic pigment bowls, horsehair brushes, awls, and stained glass jars near a softly glowing north-facing window. On the right, add a wooden drying rack holding several distinct marbled sheets and a small stack of hand-bound books. Maintain accurate perspective, believable tool scale, restrained depth of field, and continuous soft daylight. Rich mineral reds, ultramarine, ochre, cream, indigo, and aged wood; tactile, refined heritage-craft magazine photography. No lettering, logos, borders, duplicated hands, or repeated objects.',
width: 1360,
height: 768,
inputs: {
referenceImages: [
'https://assets.runware.ai/assets/inputs/5fe7bccd-74a8-459a-86c5-97274436dbc7.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@2",
"positivePrompt": "Transform the supplied vertical photograph into a seamless 16:9 panoramic editorial image by preserving the artisan, hands, apron, paper, pigment pattern, tray, lighting, and documentary realism in the center while outpainting substantial new workshop space on both sides. Extend the worn workbench naturally. On the left, reveal ceramic pigment bowls, horsehair brushes, awls, and stained glass jars near a softly glowing north-facing window. On the right, add a wooden drying rack holding several distinct marbled sheets and a small stack of hand-bound books. Maintain accurate perspective, believable tool scale, restrained depth of field, and continuous soft daylight. Rich mineral reds, ultramarine, ochre, cream, indigo, and aged wood; tactile, refined heritage-craft magazine photography. No lettering, logos, borders, duplicated hands, or repeated objects.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/5fe7bccd-74a8-459a-86c5-97274436dbc7.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": "2c7bf578-7c09-4ee4-a766-9b5e637d7c15",
"model": "runway:4@2",
"positivePrompt": "Transform the supplied vertical photograph into a seamless 16:9 panoramic editorial image by preserving the artisan, hands, apron, paper, pigment pattern, tray, lighting, and documentary realism in the center while outpainting substantial new workshop space on both sides. Extend the worn workbench naturally. On the left, reveal ceramic pigment bowls, horsehair brushes, awls, and stained glass jars near a softly glowing north-facing window. On the right, add a wooden drying rack holding several distinct marbled sheets and a small stack of hand-bound books. Maintain accurate perspective, believable tool scale, restrained depth of field, and continuous soft daylight. Rich mineral reds, ultramarine, ochre, cream, indigo, and aged wood; tactile, refined heritage-craft magazine photography. No lettering, logos, borders, duplicated hands, or repeated objects.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/5fe7bccd-74a8-459a-86c5-97274436dbc7.jpg"
]
}
}
]'runware run runway:4@2 \
positivePrompt="Transform the supplied vertical photograph into a seamless 16:9 panoramic editorial image by preserving the artisan, hands, apron, paper, pigment pattern, tray, lighting, and documentary realism in the center while outpainting substantial new workshop space on both sides. Extend the worn workbench naturally. On the left, reveal ceramic pigment bowls, horsehair brushes, awls, and stained glass jars near a softly glowing north-facing window. On the right, add a wooden drying rack holding several distinct marbled sheets and a small stack of hand-bound books. Maintain accurate perspective, believable tool scale, restrained depth of field, and continuous soft daylight. Rich mineral reds, ultramarine, ochre, cream, indigo, and aged wood; tactile, refined heritage-craft magazine photography. No lettering, logos, borders, duplicated hands, or repeated objects." \
width=1360 \
height=768 \
inputs.referenceImages.0=https://assets.runware.ai/assets/inputs/5fe7bccd-74a8-459a-86c5-97274436dbc7.jpg{
"taskType": "imageInference",
"taskUUID": "2c7bf578-7c09-4ee4-a766-9b5e637d7c15",
"model": "runway:4@2",
"positivePrompt": "Transform the supplied vertical photograph into a seamless 16:9 panoramic editorial image by preserving the artisan, hands, apron, paper, pigment pattern, tray, lighting, and documentary realism in the center while outpainting substantial new workshop space on both sides. Extend the worn workbench naturally. On the left, reveal ceramic pigment bowls, horsehair brushes, awls, and stained glass jars near a softly glowing north-facing window. On the right, add a wooden drying rack holding several distinct marbled sheets and a small stack of hand-bound books. Maintain accurate perspective, believable tool scale, restrained depth of field, and continuous soft daylight. Rich mineral reds, ultramarine, ochre, cream, indigo, and aged wood; tactile, refined heritage-craft magazine photography. No lettering, logos, borders, duplicated hands, or repeated objects.",
"width": 1360,
"height": 768,
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/5fe7bccd-74a8-459a-86c5-97274436dbc7.jpg"
]
}
}Response
{
"taskType": "imageInference",
"taskUUID": "2c7bf578-7c09-4ee4-a766-9b5e637d7c15",
"imageUUID": "01bb075f-f38d-4084-b113-de8906e2f73d",
"imageURL": "https://im.runware.ai/image/os/a10dlim3/ws/3/ii/01bb075f-f38d-4084-b113-de8906e2f73d.jpg",
"seed": 1167767032,
"cost": 0.02
}