Elevating Sample Quality: OpenAI’s Consistency Models Training Techniques Redefine the Game

In a new paper Techniques for Training Consistency Models, an OpenAI research team introduces innovative methods that enable consistency models to learn directly from data, surpassing the performance of consistency distillation (CD) in producing high-quality samples, all while breaking free from the clutches of LPIPS.

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