Recent content by orbit_cameron

A useful way to understand AI Images is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is future improvements. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...

For troubleshooting: which workflow works best for Gemma Models?, I would separate the problem into setup, output quality and repeatability. troubleshooting and gemma fits into that because it can change the result quite a lot depending on the workflow. The original point — "I have been...

When working with AI Level Generation, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is integration. Define what a good result looks like before changing tools or settings, then test one variable at a time...