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Guidance methods like APG (#9585#9626) require conversion between noise and denoised predictions. The computation of these predictions varies across schedulers and depends on prediction_type. Currently, this is embedded in step functions of the schedulers which complicates implementation of APG.
Adding separate methods for conversion between noise and denoised predictions would simplify implementation and allow easier experimentation.