01-08-2026, 11:17 PM
I've been experimenting with some open-source diffusion models for a personal art project, and the output quality varies wildly between them. I keep seeing papers mention diffusion models image generation benchmarks, but they usually compare against other research models, not the ones actually available on GitHub. How do you practically evaluate which model to use for a specific style or subject when the standard benchmarks don't seem to translate directly to user experience?