Interesting ways to use General AI Image Generation for practical use cases

callumquest81

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Sep 5, 2026
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I wanted to start a broader practical use cases thread around General AI Image Generation.

A useful angle is creative uses, but it also connects with integration. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where General AI Image Generation is genuinely useful and where it still needs improvement.
 
The point about general and image is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. That should make it easier to tell whether the change is actually helping.