MODEL ID runware:201@10

live

Wan2.5-Preview Image

by Alibaba September 24, 2025

Wan2.5-Preview Image is a single frame generator built from the Wan2.5 video stack. It focuses on detailed depth structure, strong prompt following, multilingual text rendering, and video grade visual quality for production ready stills in creative or product 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

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.jpg

The 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 » checkContent checkContent boolean default: false: Enable or disable content safety checking. When enabled, defaults to fast mode.

safety » mode mode 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 outputType is URL.

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.

Generation Parameters

Core parameters for controlling the generated content.

model string required value: runware:201@10

Identifier of the model to use for generation.

Learn more 3 resources

positivePrompt string required min: 1 max: 2000

Text prompt describing elements to include in the generated output.

Learn more 2 resources

width integer

Width of the generated media in pixels.

Learn more 2 resources

height integer

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.alibaba object.

providerSettings » alibaba » promptExtend promptExtend boolean default: true: Enable LLM-based prompt rewriting to expand and clarify inputs. Affects reproducibility.

taskType string required value: imageInference: Type of the task.

taskUUID string required UUID v4: UUID of the task.

imageUUID string required UUID v4: UUID of the output image.

imageURL string URI: URL of the output image.

imageBase64Data string: Base64-encoded image data.

imageDataURI string URI: Data URI of the output image.

seed integer: The seed used for generation. If none was provided, shows the randomly generated seed.

NSFWContent boolean: Flag indicating if NSFW content was detected.

cost float: Task cost in USD. Present when includeCost is set to true in the request.

Text to Image

Deserted Funfair Ticket Booth

Request

{
  "taskType": "imageInference",
  "taskUUID": "feba9ed6-37ec-4fb8-8abb-3a6b9c15e05d",
  "model": "runware:201@10",
  "positivePrompt": "An abandoned traveling funfair entrance at blue hour, centered on a weathered ticket booth with peeling paint, faded stripes, hand-lettered signs reading \"LAST TOKENS\" and \"ADMIT ONE\", strings of dim carnival bulbs, empty turnstiles, scattered paper tickets on dusty ground, a toppled prize wheel nearby, distant ferris wheel silhouettes and striped tents out of focus, shallow mist hugging the ground, strong foreground-to-background depth, ultra-detailed textures, cinematic composition, realistic lighting, rich color separation, production-ready still frame, highly coherent scene geometry",
  "width": 1024,
  "height": 768
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "feba9ed6-37ec-4fb8-8abb-3a6b9c15e05d",
  "imageUUID": "dc91462e-e895-494f-8f78-1626009dfa18",
  "imageURL": "https://im.runware.ai/image/os/a24d12/ws/3/ii/dc91462e-e895-494f-8f78-1626009dfa18.jpg",
  "seed": 1423531996,
  "cost": 0.03
}

Text to Image

Salt-Flat Mirage Runway

Request

{
  "taskType": "imageInference",
  "taskUUID": "082cc301-6211-46e6-ab44-e49d8a07692a",
  "model": "runware:201@10",
  "positivePrompt": "A cinematic wide shot of a temporary couture runway staged across a vast white salt flat at sunrise, heat shimmer on the horizon, mirrored puddles left from evaporation, a lone model in an architectural copper-and-ivory garment with sharp folded shapes and wind-caught fabric, minimalist chrome seating arranged in long lines, sparse crew equipment in the distance, giant freestanding wayfinding panels with crisp readable text saying 'SECTION A' and 'EAST ENTRY', dramatic leading lines vanishing toward mountains, low-angle sunlight, long shadows, ultra-detailed textures, production-ready still, elegant color contrast, realistic atmosphere, strong depth structure, subtle lens compression, premium fashion campaign aesthetic",
  "width": 1024,
  "height": 576
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "082cc301-6211-46e6-ab44-e49d8a07692a",
  "imageUUID": "c34b8f2e-bb5b-432f-8769-d04a2e9529a9",
  "imageURL": "https://im.runware.ai/image/os/a22d05/ws/3/ii/c34b8f2e-bb5b-432f-8769-d04a2e9529a9.jpg",
  "seed": 167195498,
  "cost": 0.03
}

Text to Image

Deserted Arctic Research Canteen

Request

{
  "taskType": "imageInference",
  "taskUUID": "e14be1d9-11bf-47d3-9fb7-ea28d81a836c",
  "model": "runware:201@10",
  "positivePrompt": "A wide cinematic view inside an abandoned Arctic research station canteen during blue-hour twilight, frost creeping along metal window frames, long cafeteria tables with scattered enamel trays, hanging utility lights casting warm pools across the room, a heavy orange parka draped over a chair, a half-packed supply crate near the doorway, steam rising from a forgotten bowl of soup, distant snow vehicles visible outside through fogged windows, intricate depth from foreground utensils to background corridor, realistic textures, filmic contrast, production-ready still, highly detailed environmental storytelling. Include legible wall signage in three languages reading: 'MESS HALL', '食堂', and 'قاعة الطعام'.",
  "width": 1024,
  "height": 576
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "e14be1d9-11bf-47d3-9fb7-ea28d81a836c",
  "imageUUID": "f2a30cd7-985f-448d-a75f-4411139d5361",
  "imageURL": "https://im.runware.ai/image/os/a07d11/ws/3/ii/f2a30cd7-985f-448d-a75f-4411139d5361.jpg",
  "seed": 666649705,
  "cost": 0.03
}

Text to Image

Orbital Botanical Transit Lounge

Request

{
  "taskType": "imageInference",
  "taskUUID": "ddb2a419-5d74-4e89-a56f-2ca0386ca3d5",
  "model": "runware:201@10",
  "positivePrompt": "A sprawling orbital transit lounge wrapped around the inside curve of a space station, terraced indoor gardens with dwarf citrus trees and ferns, passengers in elegant travel wear waiting beside sleek modular seating, a panoramic window revealing a striped gas giant and tiny docking craft outside, polished composite floors reflecting soft amber guidance lights, multilingual wayfinding signs reading GATE C12, ARRIVALS, and ORBITAL FERRY in crisp legible lettering, a suspended kinetic sculpture made of thin metallic ribbons, food kiosks with neatly arranged pastries and fruit, subtle haze for depth, layered foreground-midground-background composition, ultra-detailed textures, believable scale, production-ready cinematic still, rich color separation, clean focus, immersive atmosphere",
  "width": 1024,
  "height": 576
}

Response

{
  "taskType": "imageInference",
  "taskUUID": "ddb2a419-5d74-4e89-a56f-2ca0386ca3d5",
  "imageUUID": "b99c6e63-69e1-458f-9d24-544f5b61ecf7",
  "imageURL": "https://im.runware.ai/image/os/a11d13/ws/3/ii/b99c6e63-69e1-458f-9d24-544f5b61ecf7.jpg",
  "seed": 324323239,
  "cost": 0.03
}