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MODEL IDalibaba:wan@2.7-image
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Wan2.7 Image

Alibaba
by Alibaba

Wan2.7 Image is a unified image generation and editing model from Alibaba that combines generation and interactive editing in a shared latent space. It features virtual avatar face customization with fine bone structure and eye shape control, a color palette system for extracting and applying consistent color schemes, precise marquee selection editing for pixel-level element manipulation, multilingual text rendering supporting up to 3000 tokens in 12 languages, and compositional generation of up to 12 images in a single output.

Wan2.7 Image

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: imageInference

Identifier for the type of task being performed

taskUUID

stringrequiredUUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType

stringdefault: URL

Image output type.

Allowed values3 values

outputFormat

stringdefault: 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 values3 values

outputQuality

integermin: 20max: 99default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

stringURI

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 more1 resource

deliveryMethod

stringdefault: sync

Determines how the API delivers task results.

Allowed values2 values
Returns complete results directly in the API response.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource

uploadEndpoint

stringURI

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.

Properties1 property
safety » checkContent

checkContent

booleandefault: false

Enable or disable content safety checking.

ttl

integermin: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

booleandefault: false

Include task cost in the response.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.

inputs » referenceImages

referenceImages

array of stringsmin items: 1max items: 9

List of reference images (UUID, URL, Data URI, or Base64).

Core Parameters

Primary parameters that define the task output.

numberResults

integermin: 1max: 20default: 1

Number of results to generate. Each result uses a different seed, producing variations of the same parameters.

model

stringrequiredvalue: alibaba:wan@2.7-image

Identifier of the model to use for generation.

positivePrompt

stringrequiredmax: 3000

Text prompt describing elements to include in the generated output.

width

integerrequiredmin: 768max: 2048step: 16

Width of the generated media in pixels.

height

integerrequiredmin: 768max: 2048step: 16

Height of the generated media in pixels.

seed

integermin: 0max: 2147483647

Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.

Settings

Technical parameters to fine-tune the inference process. These must be nested inside the settings object.

settings » colorPalette

colorPalette

array of objectsmin items: 3max items: 10

Color palette to guide the generation. Each entry specifies a hex color and its ratio.

Properties2 properties
settings » colorPalette » hex

hex

stringrequired

Hex color code (e.g. '#C2D1E6').

settings » colorPalette » ratio

ratio

stringrequired

Percentage weight of this color in the palette (e.g. '23.51%').

settings » editRegions

editRegions

array of arrays

Interactive editing regions. Must match the number of input images. Each entry is an array of bounding boxes in [x1, y1, x2, y2] format using absolute pixel coordinates. Use an empty array for images that don't need editing.

settings » sequential

sequential

booleandefault: false

Enables image set output mode for generating multiple related images.

settings » thinking

thinking

booleandefault: true

Enables thinking mode for improved quality at the cost of increased generation time.

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