Update: A harsh review on my old AI art generator project made me rethink everything

About two years ago, I posted my first text-to-image model on GitHub. A user commented, 'Your outputs are just weird variations of the same three faces, it's not real generation.' That stung, but they were right. I was basically overfitting on a tiny dataset of like 500 portraits. I scrapped the whole thing and spent six months building a proper scraper to gather 50,000 diverse images. The difference wasn't just better faces, the model finally started understanding prompts about objects and scenes. Has anyone else had a piece of blunt feedback that totally redirected your approach?

4 comments

4 Comments

wright.finley1mo ago

Used to think more data just meant bigger files. That review shows it's about the RIGHT data, not just more of it. Totally changed how I see building anything now.

jordant691mo ago

Yeah the "right data not more data" thing is spot on. I see it all the time with smart home setups. People buy every sensor but then get flooded with useless alerts. The trick is picking just the motion sensors for rooms you actually use, not every hallway. Quality over quantity every time.

miles7982d ago

Yeah the "quality over quantity" part really hits home. I've been down that road myself where I loaded up on cheap sensors thinking more coverage would save me headaches, just ended up ignoring half the alerts. Trimming back to just the useful ones made everything actually work like it should.

allen.william2d ago

Gotta agree with @wright.finley on that. I learned the hard way too many data sources just equals more noise.