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This paper from Alibaba revisits few-step distillation for visual generative models, focusing on training recipe factors such as data composition, teacher guidance, and task mixture, using Qwen-Image-2.0 as a case study to develop Qwen-Image-Flash.
This paper investigates training recipes for few-step distillation of visual generative models, using Qwen-Image-2.0 as a case study. It reveals non-obvious behaviors and proposes Qwen-Image-Flash.