Recent content by finn5648

For Stable Diffusion, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is quality versus speed. 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...

A practical understanding of AI Tool Recommendations starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is limitations. Define what a good result looks like before changing tools or settings, then test one variable at a time...