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Ideogram Ai Ideogram V3 Quality

Ideogram Ai Ideogram V3 Quality

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Ideogram V3 Quality is the highest-quality Ideogram text-to-image model, producing realistic, creative, and style-consistent images for design and branding. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Ideogram V3 Quality

Generate premium images with exceptional typography using Ideogram V3 Quality. This high-fidelity model delivers maximum detail and refinement in text rendering — perfect for professional posters, logos, marketing materials, and design work where quality matters most.

Looking for faster generation? Try Ideogram V3 Turbo for speed-optimized output at a lower price.

Why It Looks Great

  • Maximum quality: Premium output with finest detail and refinement.
  • Superior typography: Industry-leading text rendering for professional design work.
  • Multiple modes: Text-to-image generation, image editing, and masked inpainting.
  • Style presets: Choose from Auto, General, Realistic, or Design styles.
  • Reference images: Use up to 3 reference images to guide generation.
  • Mask support: Precise regional editing with custom masks.
  • Flexible aspect ratios: Five format options for any use case.
  • Safety Checker: Optional content filtering for appropriate output.

Parameters

ParameterRequiredDescription
promptYesText description of the image you want to generate.
imageNoSource image for editing (upload or public URL).
mask_imageNoMask to specify edit regions — white areas will be regenerated.
styleNoOutput style: Auto, General, Realistic, or Design. Default: Auto.
aspect_ratioNoOutput format: 1:1, 16:9, 9:16, 4:3, or 3:4. Default: 1:1.
reference_imagesNoUp to 3 reference images to guide style and composition.
enable_base64_outputNoAPI only: Returns base64 string instead of URL.
Enable Safety CheckerNoToggle content safety filtering.

How to Use

Text-to-Image Generation

  1. Write your prompt — describe the image including any text you want rendered.
  2. Choose style — select Auto, General, Realistic, or Design.
  3. Set aspect ratio — pick the format that fits your use case.
  4. Add reference images (optional) — click ”+ Add Item” to include style references.
  5. Run — click the button to generate.
  6. Download — preview and save your image.

Image Editing

  1. Upload source image — the image you want to edit.
  2. Upload mask (optional) — white areas indicate regions to regenerate.
  3. Write your prompt — describe the desired changes or new elements.
  4. Run — click the button to apply edits.

Pricing

Flat rate per image generation.

OutputCost
Per image$0.09

Style Guide

StyleDescriptionBest For
AutoAutomatically selects the best styleGeneral use, when unsure
GeneralBalanced, versatile outputWide range of subjects
RealisticPhotorealistic, natural appearancePhotos, portraits, products
DesignGraphic design aestheticPosters, logos, marketing materials

Best Use Cases

  • Professional Print Design — Create high-resolution designs for print production.
  • Brand Identity — Generate polished logo concepts and brand materials.
  • Premium Marketing — Produce publication-quality ads and promotional graphics.
  • Typography Art — Create detailed typographic artwork and poster designs.
  • Final Deliverables — Generate client-ready assets with maximum quality.

Example Prompts

  • “elegant luxury brand logo for ‘AURORA’, gold foil effect on black, sophisticated serif typography”
  • “high-end magazine cover featuring text ‘VOGUE STYLE’, fashion photography aesthetic, refined typography”
  • “professional business card design for ‘Smith & Associates Law Firm’, minimalist, premium feel”
  • “art deco poster for ‘THE GATSBY CLUB’, 1920s aesthetic, ornate gold lettering”
  • “product packaging design for organic tea brand ‘Zen Garden’, Japanese-inspired, clean typography”

Model Comparison

ModelCostSpeedBest For
Ideogram V3 Quality$0.09StandardFinal deliverables, print, professional work
Ideogram V3 Turbo$0.03FastRapid iteration, testing, high-volume

Pro Tips for Best Results

  • Use Quality for final deliverables and client-facing work.
  • For typography, put the exact text in quotes within your prompt.
  • Use the Design style for graphic design work with text elements.
  • Test concepts with Turbo first, then generate finals with Quality.
  • Reference images help maintain consistency across multiple generations.
  • Describe typography style: “elegant”, “refined”, “premium”, “sophisticated”.

Notes

  • Ideogram is renowned for best-in-class text rendering in AI-generated images.
  • Quality mode delivers maximum fidelity — ideal for professional and print work.
  • If using URLs for images, ensure they are publicly accessible.
  • The enable_base64_output option is only available through the API.
  • Reference images (up to 3) help guide style without directly copying content.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/ideogram-ai/ideogram-v3-quality" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "style": "Auto",
    "aspect_ratio": "1:1",
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagestringNo-The image to generate an image from.
mask_imagestringNo-The mask image tells the model where to generate new pixels (white) and where to preserve the original image (black). It acts as a stencil or guide for targeted image editing.
stylestringNoAutoAuto, General, Realistic, DesignThe style of the generated image.
aspect_ratiostringNo1:11:1, 16:9, 9:16, 4:3, 3:4The aspect ratio of the generated media.
reference_imagesarrayNo--A list of images to use as style references.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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