Recent content by max_2nmz

I wanted to start a broader community experiences thread around Stable Diffusion. 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...

I think e-commerce and development is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That should make it easier to tell whether the change is actually helping.

For AI Startups, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is real-world use. 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...