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.
API Options
Platform-level options for task execution and delivery.
-
taskType
string required value: imageInference -
Identifier for the type of task being performed
-
taskUUID
string required UUID v4 -
UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
-
outputType
string default: URL -
Image output type.
Allowed values 3 values
-
outputFormat
string default: JPG -
Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `JPG`: Best for photorealistic images with smaller file sizes (no transparency).
- `PNG`: Lossless compression, supports high quality and transparency (alpha channel).
- `WEBP`: Modern format providing superior compression and transparency support.
**Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency.Allowed values 3 values
-
outputQuality
integer min: 20 max: 99 default: 95 -
Compression quality of the output. Higher values preserve quality but increase file size.
-
webhookURL
string URI -
Specifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more 1 resource
- Webhooks PLATFORM
- Webhooks
-
deliveryMethod
string default: sync -
Determines how the API delivers task results.
Allowed values 2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more 1 resource
- Task Polling PLATFORM
-
uploadEndpoint
string URI -
Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
-
safety
object -
Content safety checking configuration for image generation.
Properties 2 properties
-
safety»checkContentcheckContent
boolean default: false -
Enable or disable content safety checking. When enabled, defaults to
fastmode.
-
safety»modemode
string default: none -
Safety checking mode for image generation.
Allowed values 2 values
- Disables checking.
- Performs a single check.
-
-
ttl
integer min: 60 -
Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
-
includeCost
boolean default: false -
Include task cost in the response.
-
numberResults
integer min: 1 max: 20 default: 1 -
Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
Inputs
Input resources for the task (images, audio, etc). These must be nested inside the inputs object.
inputs object.-
inputs»referenceImagesreferenceImages
array of strings required min items: 1max items: 3 -
List of reference images (UUID, URL, Data URI, or Base64).
Generation Parameters
Core parameters for controlling the generated content.
-
model
string required value: runway:4@2 -
Identifier of the model to use for generation.
Learn more 3 resources
-
positivePrompt
string required min: 1 max: 1000 -
Text prompt describing elements to include in the generated output.
Learn more 2 resources
-
width
integer paired with height -
Width of the generated media in pixels.
Learn more 2 resources
-
height
integer paired with width -
Height of the generated media in pixels.
Learn more 2 resources
Provider Settings
Parameters specific to this model provider. These must be nested inside the providerSettings.runway object.
providerSettings.runway object.-
providerSettings»runway»contentModerationcontentModeration
object -
Content moderation settings.
Properties 1 property
-
providerSettings»runway»contentModeration»publicFigureThresholdpublicFigureThreshold
string default: auto -
Public figure filtering strictness.
Allowed values 2 values
- Automatic filtering.
- Less strict filtering.
-
Art Deco Aquarium Concourse
{
"taskType": "imageInference",
"taskUUID": "0ee13cbd-6941-49fb-b5cc-90be6737ebea",
"model": "runway:4@2",
"positivePrompt": "Blend the structure and elegance of a 1930s art deco transit concourse with the immersive spectacle of a giant aquarium tunnel, creating a majestic public interior where arched brass-and-stone architecture frames towering curved glass tanks filled with swirling fish and drifting rays. Polished terrazzo floors reflecting blue water patterns, ornamental geometric motifs, refined signage, distant travelers for scale, cinematic depth, crisp architectural lines, luxurious materials, atmospheric volumetric light, highly detailed concept art, vivid yet tasteful color contrast, imaginative and believable worldbuilding.",
"width": 1440,
"height": 1080,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/e7ea04ec-0197-42bb-be69-bc7829110eff.jpg",
"https://assets.runware.ai/assets/inputs/8eadb94a-f122-4637-99ac-ea448181e371.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "0ee13cbd-6941-49fb-b5cc-90be6737ebea",
"imageUUID": "1255868f-309b-4798-a01d-6ca7aa302f36",
"imageURL": "https://im.runware.ai/image/os/a04d20/ws/2/ii/1255868f-309b-4798-a01d-6ca7aa302f36.jpg",
"seed": 557572411,
"cost": 0.02
}Rain-Slicked Monorail Arrival
{
"taskType": "imageInference",
"taskUUID": "71b26342-2728-4c95-a35e-f5618419d3fa",
"model": "runway:4@2",
"positivePrompt": "Transform the reference scene into a retro-futurist monorail station at blue hour, preserving the platform layout and viewing angle while reimagining the architecture with streamlined alloy canopies, glowing route bands, polished concrete, and misty rain reflections. A sleek silver monorail glides in from the curve, passengers in structured travel coats and translucent umbrellas, subtle steam drifting near the tracks, distant high-rise silhouettes softened by drizzle, amber and cyan lighting accents, tactile surfaces, cinematic atmosphere, highly detailed, dynamic yet believable urban design.",
"width": 1360,
"height": 768,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/839c0b5a-05dc-49ac-b5d1-e518d8b421ee.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "71b26342-2728-4c95-a35e-f5618419d3fa",
"imageUUID": "80314f5f-13f2-4dcd-a3b0-601a9114d851",
"imageURL": "https://im.runware.ai/image/os/a06dlim3/ws/2/ii/80314f5f-13f2-4dcd-a3b0-601a9114d851.jpg",
"seed": 321962668,
"cost": 0.02
}Wind-Carved Salt Flats Caravan
{
"taskType": "imageInference",
"taskUUID": "de2d6177-7379-4990-bd39-1c07e23b3202",
"model": "runway:4@2",
"positivePrompt": "Transform the reference into a sweeping cinematic scene of a nomadic research caravan traversing immense salt flats shaped by wind into delicate ridges and spirals. Replace the truck with a convoy of elegantly engineered amphibious crawler vehicles carrying stacked specimen crates, rolled survey kites, antenna masts, and sun-faded expedition flags. In the distance, towering mineral pillars rise from the horizon like natural sculptures. The ground reflects soft apricot and silver tones, with thin drifting dust and subtle heat shimmer. Emphasize scale, negative space, refined industrial design, crisp textures, and dramatic environmental storytelling. Ultra-detailed, high realism with artful color grading, expansive sky, low-angle cinematic framing.",
"width": 1440,
"height": 1080,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/fecda3d9-78b1-4453-adc2-a3fbadc30af9.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "de2d6177-7379-4990-bd39-1c07e23b3202",
"imageUUID": "cc87393e-891e-482c-bd09-35e8ccc27ac4",
"imageURL": "https://im.runware.ai/image/os/a01d21/ws/2/ii/cc87393e-891e-482c-bd09-35e8ccc27ac4.jpg",
"seed": 835194475,
"cost": 0.02
}Clockwork Greenhouse Fashion Editorial
{
"taskType": "imageInference",
"taskUUID": "4b481409-2858-490d-9bfd-263ff9a20e67",
"model": "runway:4@2",
"positivePrompt": "Transform the reference into an elaborate retrofuturist couture scene inside a vast glass conservatory filled with brass mechanisms, oversized fern fronds, suspended gears, polished copper piping, and creeping vines weaving through ornate machinery. Preserve the standing pose and central composition from the reference image, but restyle the outfit into sculptural high fashion with layered metallic fabrics, pleated panels, intricate mechanical embellishments, and dramatic silhouette. Add warm amber highlights, pale green atmospheric haze, crisp glass reflections, richly detailed textures, editorial photography aesthetic, cinematic depth, refined color harmony, inventive worldbuilding, premium fashion magazine quality.",
"width": 1168,
"height": 880,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
},
"inputs": {
"referenceImages": [
"https://assets.runware.ai/assets/inputs/a0338be7-12b9-4298-bb66-04851b7c1b51.jpg"
]
}
}{
"taskType": "imageInference",
"taskUUID": "4b481409-2858-490d-9bfd-263ff9a20e67",
"imageUUID": "d0752792-0016-4aeb-8f8a-a28d7afb611b",
"imageURL": "https://im.runware.ai/image/os/a07dlim3/ws/2/ii/d0752792-0016-4aeb-8f8a-a28d7afb611b.jpg",
"seed": 1025601214,
"cost": 0.02
}