Recent content by eva3945

For Datasets, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is troubleshooting. 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...

For What is the best way to approach getting started for AI Productivity?, I would separate the problem into setup, output quality and repeatability. productivity and getting fits into that because it can change the result quite a lot depending on the workflow. If you share the exact setup, it...

There are several ways to approach Blender + AI, so I wanted to compare experiences. I am particularly interested in reliability and troubleshooting. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What has worked best for you, and...