GFX-101 · Module 1

The Image Generation Landscape

3 min read

The AI image generation space has fragmented into half a dozen serious tools, each with a distinct personality. Midjourney dominates aesthetic quality and artistic interpretation — give it a vague mood and it produces something beautiful. DALL-E (via ChatGPT) excels at instruction-following and text rendering — it does what you ask with surprising literal accuracy. Stable Diffusion is the open-source powerhouse with infinite customization through LoRAs and ControlNet, but demands technical comfort. Flux emerged as the high-fidelity challenger with exceptional photorealism. Ideogram owns typography — if your image needs readable text, start there.

Choosing the right tool is the first design decision, not an afterthought. If you need a photorealistic product shot with precise lighting, Flux or Midjourney v6 will outperform DALL-E. If you need an infographic with legible labels, Ideogram saves you hours of post-production text fixes. If you need full control over pose and composition, Stable Diffusion with ControlNet gives you levers that closed-source tools simply do not expose.

Do This

  • Choose your tool based on the specific output you need
  • Test the same prompt across two tools before committing to a workflow
  • Learn one tool deeply before spreading across all of them

Avoid This

  • Default to whichever tool you tried first
  • Assume the newest model is always the best for your use case
  • Fight a tool's weaknesses instead of switching to one that fits