Runway Gen-4 Image
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.
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 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@1 -
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.
-
Ornate Icebound Library Atrium
{
"taskType": "imageInference",
"taskUUID": "399b9ed9-eb64-41a8-b67e-3d40cef5c664",
"model": "runway:4@1",
"positivePrompt": "A vast circular library atrium locked in winter, towering carved bookshelves rising three stories high, frost tracing delicate patterns across dark walnut railings and marble floors, a suspended brass orrery-like chandelier filled with warm candles, scattered ladders, velvet reading chairs, stacks of weathered books, a central mosaic floor partially dusted with snow blown in through a cracked upper dome, two bundled librarians crossing a bridge between shelves for scale, rich amber candlelight contrasting with pale icy daylight, highly detailed textures, elegant symmetry, cinematic depth, refined historical fantasy, realistic materials, crisp focus, atmospheric but grounded, premium production still",
"width": 1440,
"height": 1080,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
}
}{
"taskType": "imageInference",
"taskUUID": "399b9ed9-eb64-41a8-b67e-3d40cef5c664",
"imageUUID": "b4c7729b-32e9-420a-9ab7-7cd97a050494",
"imageURL": "https://im.runware.ai/image/os/a10d08/ws/2/ii/b4c7729b-32e9-420a-9ab7-7cd97a050494.jpg",
"seed": 1842085825,
"cost": 0.08
}Suspended Botanical Transit Hall
{
"taskType": "imageInference",
"taskUUID": "3a6e1a7f-64c9-450e-9dec-9ab449080304",
"model": "runway:4@1",
"positivePrompt": "A vast futuristic transit hall built inside a hollow mountain of polished black stone, crossed by suspended glass walkways and slow magnetic passenger pods, giant hanging gardens of ferns and orchids draping from engineered steel ribs, travelers in elegant contemporary fashion carrying luminous luggage, a reflective floor with geometric inlays, warm amber guidance lines, shafts of morning light pouring through a massive circular opening above, distant mist softening the far architecture, ultra-detailed production design, cinematic wide shot, balanced composition, realistic materials, subtle atmospheric depth, high-end editorial sci-fi still, rich color separation, crisp focus",
"width": 1360,
"height": 768,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
}
}{
"taskType": "imageInference",
"taskUUID": "3a6e1a7f-64c9-450e-9dec-9ab449080304",
"imageUUID": "88177470-5637-4a9a-b9a0-d2312f65d835",
"imageURL": "https://im.runware.ai/image/os/a13d12/ws/2/ii/88177470-5637-4a9a-b9a0-d2312f65d835.jpg",
"seed": 1251316096,
"cost": 0.08
}Tidal Observatory Glass Causeway
{
"taskType": "imageInference",
"taskUUID": "27065b5c-6c30-4ecd-b582-8b36de6d27ea",
"referenceImages": [
"https://assets.runware.ai/assets/inputs/9cf22251-9510-44aa-bae6-a78558170517.jpg",
"https://assets.runware.ai/assets/inputs/3b33b4e2-1bde-4103-af22-f4fd94666a5b.jpg"
],
"model": "runway:4@1",
"positivePrompt": "Create a cinematic wide scene of a solitary navigator crossing a transparent glass causeway toward a storm-battered ocean observatory perched on jagged black rock. Merge the architectural language of the first reference with the costume design and silhouette cues of the second reference. Towering spray, distant gulls, polished wet surfaces, monumental scale, austere futuristic realism, restrained color palette of slate, steel, seafoam, and pale amber signal lights. Emphasize strong composition, believable materials, atmospheric depth, and production-ready visual continuity suitable for linked sequential shots.",
"width": 1360,
"height": 768,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
}
}{
"taskType": "imageInference",
"taskUUID": "27065b5c-6c30-4ecd-b582-8b36de6d27ea",
"imageUUID": "74351189-96b3-462e-94cf-17fd67e61dff",
"imageURL": "https://im.runware.ai/image/os/a04d20/ws/2/ii/74351189-96b3-462e-94cf-17fd67e61dff.jpg",
"seed": 414336607,
"cost": 0.08
}Rain-Swept Orbital Train Platform
{
"taskType": "imageInference",
"taskUUID": "13b23100-c9d8-4337-9ba3-54a48af20cc0",
"referenceImages": [
"https://assets.runware.ai/assets/inputs/5cd34204-8828-45fd-b1cd-3595561db37a.jpg",
"https://assets.runware.ai/assets/inputs/85ba4f90-7c1e-4cb0-a478-5dddc0a709e7.jpg"
],
"model": "runway:4@1",
"positivePrompt": "Combine the reference images into a dramatic sci-fi departure scene on an orbital train platform during heavy rain. A solitary courier stands near the edge of the platform with modular luggage, framed against enormous curved windows revealing a cloud-banded planet and distant traffic streaks. Emphasize sleek industrial design, wet reflective flooring, subtle vapor, restrained blue and silver palette with amber signal accents, realistic cinematic lighting, crisp materials, strong depth, highly detailed environment, grounded production-ready concept art, coherent anatomy, natural pose, wide-angle composition.",
"width": 1360,
"height": 768,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
}
}{
"taskType": "imageInference",
"taskUUID": "13b23100-c9d8-4337-9ba3-54a48af20cc0",
"imageUUID": "94181564-8100-41cd-aeba-f6024d317e6e",
"imageURL": "https://im.runware.ai/image/os/a09dlim3/ws/2/ii/94181564-8100-41cd-aeba-f6024d317e6e.jpg",
"seed": 842972249,
"cost": 0.08
}Lantern Archivist River Scriptorium
{
"taskType": "imageInference",
"taskUUID": "caef146d-3ef7-49eb-9c06-b17c9181aa00",
"model": "runway:4@1",
"positivePrompt": "A richly detailed riverside scriptorium built inside a repurposed paddle-wheel library boat at blue hour, warm lanterns strung between carved wooden shelves, a solitary archivist in indigo robes cataloging windblown maps and folded star charts, brass ink tools, stacked ledgers, hanging paper talismans, gentle mist over the water, distant cypress silhouettes, weathered painted hull, cinematic composition, subtle depth, tactile textures, elegant color contrast of amber light and cool twilight, realistic yet stylized production-ready imagery, highly coherent scene layout, fine environmental detail, no text, no watermark",
"width": 1360,
"height": 768,
"providerSettings": {
"runway": {
"contentModeration": {
"publicFigureThreshold": "auto"
}
}
}
}{
"taskType": "imageInference",
"taskUUID": "caef146d-3ef7-49eb-9c06-b17c9181aa00",
"imageUUID": "e340aa9d-c45e-4eb8-9fc6-195354cf561d",
"imageURL": "https://im.runware.ai/image/os/a22d05/ws/2/ii/e340aa9d-c45e-4eb8-9fc6-195354cf561d.jpg",
"seed": 1744477254,
"cost": 0.08
}