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Ancestral sampling is the most commonly used sampling method for discrete diffusion models; it strictly guarantees that generated samples follow the model distribution, but requires a number of iterations comparable to the number of diffusion steps used in training (hundreds to thousands of steps), and its trajectory is stochastic.
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10/30/2026
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