Recent content by aaron_rmc

I wanted to start a broader workflow comparison thread around DeepSeek Models. A useful angle is collaboration, but it also connects with accessibility. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare practical...

The point about gpus and local is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.

A practical understanding of ChatGPT Image Generation starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is quality versus speed. Define what a good result looks like before changing tools or settings, then test one variable...