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Image generation

As explained in AI for Everyday IT

AI image generation is the production of visual content from prompts or other inputs by an artificial intelligence model.

Image generation produces visual content from descriptions or other inputs. In IT, it supports practical work such as diagrams, charts, mockups, logos, and technical documentation, not only artistic images. section 1.4.2

Use image generation for:

  • Creating simple logos and presentation artwork. section 2.2.1
  • Writing Mermaid or PlantUML markup for flowcharts, sequence diagrams, and architecture diagrams. section 1.4.2
  • Producing HTML/CSS mockups when exact text and layout control matter. section 1.4.2

Logo prompt

Prompt: “I want a simple cloud that looks relaxed and relieved like the relieved emoji. Also add a similarly simple yellow sun in the background.” DALL-E produced a logo that closely followed this description. Review generated results, because creative tools may not reproduce an image exactly or follow every instruction. section 2.2.1

Table 1.3 AI diagramming capabilities and limitations
Need
What AI can do
Current limits
Better options
Network diagrams
Create Mermaid/PlantUML markup with tools like ChatGPT and Claude
Need extra steps to get Visio files
Try AI plugins for Visio or scripts that make VSDX files.
Infrastructure maps
Write templates for Terraform or Mermaid
May need manual fixes for complex maps
Use Lucidchart AI to help with map layouts.
System architecture
Help with PlantUML models
Basic graphics only
Try Figma with AI plugins.
Database schemas
Create SQL and ER diagrams
Limited visual options
Use a tool like Workik or ChatGPT for schemas.
UI mockups
Make HTML/CSS or markdown designs
Not polished enough for demos
Try Uizard or Figma’s AI tools for quick UI designs.

Compare AI capabilities and limits for network diagrams, infrastructure maps, system architecture, database schemas, and UI mockups. section 1.4.2

How AI for Everyday IT covers it

How deep it goes
Contrasts creative and technical uses, gives a prompt example, and stops short of model internals.
Examples
Uses a relieved cloud logo, Mermaid and PlantUML diagrams, LaTeX equations, HTML/CSS mockups, and infrastructure maps.
What you can do after
Apply it via DALL-E or GPT-4o, then refine outputs or convert technical markup into required enterprise formats.
How it connects
Connects image generation with DALL-E, GPT-4o, Mermaid, PlantUML, LaTeX, HTML, CSS, and diagramming tools.

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This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.