Exactly Illustrative Training

by Exactly AI May 13, 2026

Exactly Illustrative Training is a model training workflow for building custom illustrative models from a company's dataset. It fine-tunes the Exactly Illustrative architecture to capture the style of brand assets, then produces a trained model that can be used for consistent text-to-image and image-to-image generation on the platform.

API Options

Platform-level options for task execution and delivery.

taskType string required value: training: 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.

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.

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Webhooks
PLATFORM

includeCost boolean default: 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 » dataset dataset string required min items: 10max items: 50: Training dataset as a ZIP file (UUID or URL). Supported image formats: JPEG, PNG, WebP. Images are automatically converted to JPEG and downscaled to 4096px on the long side. Max 50MB per image.

Core Parameters

Primary parameters that define the task output.

model string required value: exactly:illustrative@training: Identifier of the model to use for generation.

importModel object required

Configuration for the trained model that will be uploaded to the platform after training completes.

Properties 7 properties

importModel » air air string required: Artificial Intelligence Resource identifier. Format: provider:model@version.

importModel » heroImageURL heroImageURL string URI: URL of the hero image.

importModel » name name string required max: 400: Name of the model.

importModel » private private boolean default: false: Whether the model should be private.

importModel » shortDescription shortDescription string: Short description of the model.

importModel » uniqueIdentifier uniqueIdentifier string: Unique identifier for the model.

importModel » version version string: Version of the model.