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MODEL IDrunware:controlnet-preprocess@canny
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ControlNet Preprocess Canny

ControlNet Preprocess Canny converts an input image into a high-contrast Canny edge map for ControlNet conditioning. It is best suited to workflows that need clear object boundaries, strong silhouette retention, and tightly constrained structure during guided image generation or editing.

ControlNet Preprocess Canny

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: controlNetPreprocess

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

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.

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 » image

image

stringrequired

Image input (UUID, URL, Data URI, or Base64).

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: runware:controlnet-preprocess@canny

Identifier of the model to use for generation.

Learn more3 resources

Settings

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

settings » highThresholdCanny

highThresholdCanny

integermin: 1max: 255default: 200

High threshold for Canny edge detection.

Learn more1 resource
settings » lowThresholdCanny

lowThresholdCanny

integermin: 0max: 255default: 100

Low threshold for Canny edge detection.

Learn more1 resource
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