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Diffusion models have emerged as powerful generative modeling frameworks, excelling at producing state-of-the-art high-quality, diverse data samples across various domains. Although slightly suffering from slow sampling speed compared to other predominant approaches, various methods such as implicit and latent methods have addressed this issue. In many machine learning algorithms, including diffu
