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MODEL IDideogram:vector@1.0

Ideogram Vector 1.0

Ideogram
by
Available with Zero Data Retention

Ideogram Vector 1.0 is Ideogram's vector model, generating SVG artwork from text prompts, optionally guided by up to five reference images, and converting existing images into SVG. Each shape stays editable, so colors can be matched to a brand and individual elements refined in a vector editor. It suits logos, typography, illustrations, print designs, and labels or stickers.

Ideogram Vector 1.0

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: vectorize

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: SVG

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

  • `SVG`: Scalable Vector Graphics.
Allowed values1 value

webhookURL

stringuri

Webhook URL that receives JSON responses 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 results directly in the API response. Over HTTP, a task still running after 120 seconds continues as an async task and comes back with status 'processing'. Poll for its results using getResponse.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource

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.

Include task cost in the response.

routing

object

Model router options. Only read when model is auto, and never sent to the model.

Properties3 properties
routing » preferences

Relative importance of each dimension when models are compared. Weights, not thresholds.

Properties3 properties
routing » preferences » quality
quality
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » speed
speed
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » cost
cost
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » maxPrice

maxPrice

floatmin: 0

Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.

routing » requirements

requirements

stringmax: 3000

Conditions the result has to meet, in plain words, such as a style or a feature. A model that cannot meet them is not chosen. Output size is set with width and height rather than described here.

Inputs

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

inputs » image

image

string2 limits

Image input (UUID, URL, Data URI, or Base64). Converted to SVG at its own dimensions, scaled down to 2048 pixels on the long side when larger.

inputs » referenceImages

referenceImages

array of stringsmin items: 1max items: 53 limits

List of reference images (UUID, URL, Data URI, or Base64). The first image sets the aspect ratio when width and height are omitted.

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: ideogram:vector@1.0

Send auto instead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.

Learn more3 resources

positivePrompt

stringmin: 1max: 9500

Text prompt describing elements to include in the generated output.

Learn more1 resource

Width of the generated media in pixels.

Learn more2 resources

Height of the generated media in pixels.

Learn more2 resources

Settings

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

settings » mode

mode

string

Level of detail in the conversion.

Allowed values3 values
Fewer, simpler shapes.
Keeps fine detail.
Picks the level of detail for each image.
settings » quality

quality

stringdefault: medium

Rendering quality.

Allowed values3 values