We introduce Feedback Guidance, a trajectory specific guidance scheme that relies on the models own prediction to dynamically adapt the value of the guidance scale.

We analyze head-level attention perturbation guidance to improving image quality and style in diffusion and flow model, additionally introducing a generalized attention perturbation framework.