training stability

GANs defined generative modeling for years, and interviewers want the minimax game, the failure modes (mode collapse, instability), and the precise reason diffusion displaced them for images while GANs still win on speed.

Generative training fails in distinctive ways: GANs collapse to a few outputs, diffusion samples come out noisy or blurry. The symptom tells you which knob to turn. Here is the diagnosis.