How to choose an AI image generator

AI image tools split by job, not by quality. The model that nails a photoreal product shot is not the one that designs a clean logo or keeps a character consistent across twenty frames. Pick the job first, then the tool that leads that specific ranking.

Match the tool to the job

Every image tool is built around one of a few jobs. Name yours before you compare a single sample.

• →General image generation: a prompt becomes an image. Best for illustration, concept art, and blog visuals.
• →Logo and brand work: clean marks and brand kits. Best for identity, not busy scenes.
• →Product photography: studio-grade shots of real products. Best for ecommerce and ads.
• →Character consistency: the same face or mascot across many images. Best for comics, series, and brand characters.

What actually matters

• →Prompt adherence: does it build what you described, or something vaguely adjacent?
• →Consistency: can it repeat a style or a character without drifting between runs?
• →Editing control: can you fix one region without regenerating the whole image?
• →Pricing fairness: most tools price by credits or generations, so cost tracks how much you iterate.

Test before you commit

• →Run your real prompts, including the awkward ones with text, hands, and exact brand colors.
• →Push for consistency: generate the same subject three times and see whether it holds.
• →Check the editing tools, since most real work is fixing one detail, not starting over.
• →Read the credit math: a cheap plan with slow queues and few generations is not actually cheap.

If images are one step in a bigger pipeline - thumbnails, b-roll, ad creative - the generator is only part of the build, and the rest of the stack matters just as much.