x0-supervision or equivalent loss re-weighting accelerates convergence in controllable diffusion models while improving visual quality and conditioning accuracy.
T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
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Improving Controllable Generation: Faster Training and Better Performance via $x_0$-Supervision
x0-supervision or equivalent loss re-weighting accelerates convergence in controllable diffusion models while improving visual quality and conditioning accuracy.