Recent content by amberrunner65

For Ideogram, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is common mistakes. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...

I wanted to start a broader ideas worth trying thread around Google Image Generation. A useful angle is learning curve, but it also connects with data quality. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...