RPO-based optimization that guides
the model toward higher-performing regions of the workflow space. Additionally,
we incorporate a classifier-free guidance based enhancement technique that
extrapolates along the path between the initial and GRPO-tuned models, further
improving output quality. We validate our approach through a set of
comparisons, showing that it can successfully create new flows with greater
diversity and lead to superior image quality compared to existing baselines.</p>
            
     