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AI Image Generation Overview

2 min read

AI Image Generation in Aimogen allows you to create images programmatically using multiple AI image engines and integrate them directly into your WordPress workflows. Image generation is treated as a first-class AI capability, not an add-on, and is available across content generation, editors, OmniBlocks, and automation pipelines.

Images are generated intentionally, with structure and control, not as decorative afterthoughts.


What AI Image Generation Is in Aimogen #

AI image generation allows Aimogen to:

  • generate images from text prompts
  • generate images programmatically in workflows
  • attach images to posts automatically
  • enrich existing content visually
  • create images on demand in the Playground
  • generate images inside OmniBlocks execution streams

Image generation is explicitly triggered. Nothing is generated implicitly.


Supported Image Generation Providers #

Aimogen supports multiple image engines, including:

  • OpenAI image models
  • Stable Diffusion–based APIs
  • Replicate Flux models
  • Ideogram
  • other supported third-party image providers

You choose the provider. Aimogen does not lock you into a single engine.


Images as Outputs, Not Decorations #

In Aimogen, images are treated as outputs of AI execution, just like text.

That means:

  • images can be generated conditionally
  • images can be reused
  • images can be attached automatically
  • images can be passed between workflow steps
  • images can be generated independently of posts

Images are data, not UI fluff.


Where AI Image Generation Is Used #

AI image generation can be used in:

  • single AI post creation
  • bulk AI post creation
  • featured image generation
  • OmniBlocks execution streams
  • the AI Playground
  • content enrichment workflows
  • automated publishing pipelines

It is not limited to blog posts.


Prompting and Control #

Image prompts can be:

  • static
  • dynamic
  • generated by AI
  • assembled from variables
  • derived from content
  • combined with metadata

This allows images to stay aligned with content without manual tweaking.


AI Image Generation and OmniBlocks #

OmniBlocks provide the most control over image generation.

Typical pattern:

  • generate text content
  • extract image concepts
  • generate image prompt dynamically
  • generate image
  • attach image to output

Images become part of the execution stream, not a side effect.


Image Generation vs Image Scraping #

AI image generation is different from:

  • scraping stock image sites
  • embedding external images
  • hotlinking
  • reusing copyrighted visuals

Generated images are synthetic, not copied.

This avoids licensing ambiguity when used correctly.


Featured Image Automation #

Aimogen can:

  • generate a featured image automatically
  • select generation timing
  • base images on title, content, or keywords
  • attach images during post creation

This works consistently in both single and bulk workflows.


Image Style and Consistency #

Image generation supports:

  • consistent visual style
  • thematic coherence
  • prompt reuse
  • structured prompt templates

For large sites, this avoids visual randomness.


Cost and Performance Considerations #

Image generation:

  • is more expensive than text generation
  • may have longer latency
  • should be used intentionally

Good workflows:

  • generate one image per post
  • reuse images where possible
  • avoid unnecessary regeneration

Storage and Media Library Integration #

Generated images:

  • are saved to the WordPress Media Library
  • behave like normal uploaded images
  • can be reused manually
  • can be edited or replaced

Aimogen does not bypass WordPress media handling.


What AI Image Generation Does Not Do #

AI image generation does not:

  • auto-optimize SEO images
  • guarantee uniqueness across the web
  • enforce brand guidelines automatically
  • replace human art direction
  • generate licensed logos or trademarks safely
  • infer legal usage rights

It generates images. Everything else is workflow design.


Common Mistakes #

  • generating images without clear purpose
  • using vague prompts
  • regenerating images unnecessarily
  • mixing too many styles
  • ignoring cost implications
  • expecting perfect realism by default

Image generation rewards specificity.


Best Practices #

Treat image generation like content creation, not decoration. Generate images intentionally, tie prompts to content structure, reuse prompt logic, control style centrally, and integrate image generation into workflows rather than triggering it ad hoc.


Summary #

AI Image Generation in Aimogen provides a flexible, provider-agnostic system for generating images as part of structured AI workflows. Images are treated as real outputs that can be generated, reused, attached, and automated across content pipelines. When used deliberately—especially with OmniBlocks—AI image generation becomes a scalable, reliable visual layer rather than a novelty feature.

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