Ideogram 4.0

Ideogram 4.0 is Ideogram's most capable text-to-image model for design-heavy image generation. It is built for frontier text rendering across languages, structured prompt control through natural language or JSON, bounding-box layout control, transparent background generation, and high-fidelity 2K output. It is well suited to posters, branded graphics, packaging, product visuals, typography-led compositions, and other workflows where design precision matters as much as visual quality.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
Step-by-step tutorials for advanced use cases
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: imageInferenceIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLImage output type.
Allowed values3 values
outputFormat
stringdefault: JPGSpecifies 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: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringURISpecifies 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
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: syncDetermines 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
- Task PollingPLATFORM
uploadEndpoint
stringURISpecifies 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.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
safety
objectContent safety checking configuration for image generation.
Properties1 property
safety»checkContentcheckContent
booleandefault: falseEnable or disable content safety checking.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleandefault: falseInclude task cost in the response.
Core Parameters
Primary parameters that define the task output.
numberResults
integermin: 1max: 20default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
model
stringrequiredvalue: ideogram:4@0Identifier of the model to use for generation.
positivePrompt
stringmin: 2Text prompt describing elements to include in the generated output. Automatically expanded into a structured prompt before generation.
Width of the generated media in pixels.
Height of the generated media in pixels.
Settings
Technical parameters to fine-tune the inference process. These must be nested inside the settings object.
settings object.settings»copyrightDetectioncopyrightDetection
booleandefault: falseOpt into post-generation copyright detection using Hive likeness and logo checks.
settings»renderingSpeedrenderingSpeed
stringdefault: DEFAULTGeneration speed/quality tradeoff.
Allowed values3 values
- Fastest generation.
- Balanced speed and quality.
- Best quality.
settings»structuredPromptstructuredPrompt
objectsettings.structuredPromptis a structured prompt passed to the model directly. A natural-languagepositivePromptis automatically expanded into this structured form before generation, so usesettings.structuredPromptwhen you want explicit control over the result. It must includecompositional_deconstruction. Other fields are optional, and extra fields beyond the documented ones are accepted.A few rules the field definitions don't capture:
- Include exactly one of
art_styleorphotoinstyle_description, depending on whether the image is illustrated or photographic. - Key order matters — keep fields in the order the model expects, as shown in the example. The
style_descriptionorder also differs between photo and non-photo images. bboxis row-first —[ymin, xmin, ymax, xmax]on a 0–1000 top-left canvas, so build it as[top, left, bottom, right].
Examples1 example
"settings": { "structuredPrompt": { "high_level_description": "A vintage travel poster of a coastal town at sunset.", "style_description": { "aesthetics": "Retro mid-century travel poster", "lighting": "Warm golden-hour glow", "medium": "Screen-printed poster", "art_style": "Flat vector illustration", "color_palette": ["#E8A33D", "#2E5E78", "#F2E9D8"] }, "compositional_deconstruction": { "background": "Mediterranean harbor under a warm sunset sky with soft golden light.", "elements": [ {"type": "obj", "bbox": [400, 120, 760, 880], "desc": "White sailboats moored along the stone pier"}, {"type": "text", "bbox": [60, 100, 200, 900], "text": "VISIT THE COAST", "desc": "Bold retro headline across the top"} ] } } }Properties3 properties
settings»structuredPrompt»compositional_deconstructioncompositional_deconstruction
objectrequiredScene breakdown into background and individual elements.
Properties2 properties
settings»structuredPrompt»compositional_deconstruction»backgroundbackground
stringEnvironment, framing, and lighting context.
settings»structuredPrompt»compositional_deconstruction»elementselements
array of objectsrequiredObjects and text to place in the scene.
Properties5 properties
settings»structuredPrompt»compositional_deconstruction»elements»typetype
stringElement type. Use 'obj' for a visual object and 'text' for rendered text.
Allowed values2 values
settings»structuredPrompt»compositional_deconstruction»elements»bboxbbox
array of integersmin: 0max: 1000items: 4Element placement as [ymin, xmin, ymax, xmax].
settings»structuredPrompt»compositional_deconstruction»elements»color_palettecolor_palette
array of stringsmax items: 5Hex colors for this element.
settings»structuredPrompt»compositional_deconstruction»elements»descdesc
stringDetailed description of the element.
settings»structuredPrompt»compositional_deconstruction»elements»texttext
stringText content to render. Only applies when
typeis 'text'.
settings»structuredPrompt»high_level_descriptionhigh_level_description
stringrequiredOne or two sentences describing the full image, including subject and style.
settings»structuredPrompt»style_descriptionstyle_description
objectStyling guidance for the image.
Properties6 properties
settings»structuredPrompt»style_description»aestheticsaesthetics
stringOverall aesthetic direction.
settings»structuredPrompt»style_description»art_styleart_style
stringArt style for non-photographic images.
settings»structuredPrompt»style_description»color_palettecolor_palette
array of stringsmax items: 16Hex colors guiding the overall palette.
settings»structuredPrompt»style_description»lightinglighting
stringLighting setup and mood.
settings»structuredPrompt»style_description»mediummedium
stringArtistic medium or capture format.
settings»structuredPrompt»style_description»photophoto
stringPhotographic style for photo-realistic images.
- Include exactly one of