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The goal of flow-map distillation is to compress the multistep asynchronous flow behavior into a single forward pass; the model directly learns the output of the flow map and thus generates all tokens in one step.
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11/2/2026
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UnverifiedDistilled models further improve alignment by having the draft model fit the target model's output distribution, thereby raising the acceptance rate.73% similarUnverified输出生成是严格串行的自回归过程，每生成一个token都需要一次完整的模型前向传播73% similarUnverified在扩散模型中，UNet的任务是在每一步采样中预测并去除潜空间中的噪声，经多步迭代还原图像72% similarVerifiedDistillation is a technique for training a small model to mimic the behavior of a large model.72% similarVerifiedDistillation technology enables the student model to learn and reproduce the teacher's multi-step generation trajectory, compressing a generation process of hundreds of steps down to just a few.71% similar
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