How Diffusion Controller unifies and simplifies AI image generation
Google Research 2 weeks ago 31
Diffusion Controller reframes diffusion-based text-to-image generation as a continuous control problem and adds a lightweight “steering damper” network to steer outputs toward user targets while protecting base-model image quality. It reports a 90% win rate over the baseline in its fully unlocked (“white-box”) version. This unifies previously separate inference guidance and fine-tuning methods under one control framework and enables runtime adjustment of control strength without degrading visuals.