Flow Mapping Distillation
A distillation technique that compresses a multi-step generation process into a single step by learning the mapping from initial noise to the final sample. Within the asynchronous flow framework, it must also capture the ordering structure implied by the timetable.
Timeline (last 90 days)
The authors prove that such asynchronous flows can define valid flow maps and present a new flow-map distillation method.
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.
Compared with one-step distillation methods such as consistency models, flow-map distillation places more emphasis on explicit modeling of order.
All Facts (3)
The authors prove that such asynchronous flows can define valid flow maps and present a new flow-map distillation method.
50%UnverifiedThe 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.
50%UnverifiedCompared with one-step distillation methods such as consistency models, flow-map distillation places more emphasis on explicit modeling of order.
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