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Luma Labs' Diffusion Revolution: from Dream Machine to Multimodal Worldsim - Amit Jain, Jiaming Song

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Advancements in Diffusion Models

This chapter offers a thorough exploration of the evolution of diffusion models, highlighting their historical development and recent breakthroughs. It covers key improvements in algorithms and methodologies, such as Stability Fusion and progressive distillation, that enhance model efficiency and sample quality. Additionally, the chapter examines the implications of classifier-free guidance and inductive moment matching, contrasting them with traditional approaches to improve prediction accuracy and training stability.

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