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A practical understanding of AI 3D Models starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is deployment. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...

I wanted to start a broader mistakes and lessons thread around Make. A useful angle is advanced workflows, but it also connects with creative uses. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...