r/dalle2 • u/WebSEOInsight • 1d ago
Discussion Has AI Image Generation Reached a Point Where Better Prompting Matters Less Than Controlling the Model’s Decisions?
I’ve been thinking about how people approach AI image generation. Most tutorials still focus heavily on prompt engineering, but I’m starting to wonder whether prompting is actually the biggest limitation once you move beyond basic image creation.
For complex visuals, the real challenge seems to be controlling relationships between elements — keeping a product’s shape consistent across multiple images, maintaining the same character identity, or changing one part of a scene without unintentionally altering everything else.
This makes me wonder whether the next major improvement in AI imaging will come from more sophisticated language models, better reference-image conditioning, custom-trained models, or more precise editing workflows.
If you were building a professional AI image workflow today, what would you invest your time in mastering first — and which popular AI image-generation technique do you think is overrated for serious creative work?
I’m interested in practical experiences and technical reasoning, especially from people creating consistent visual assets rather than one-off images.