LoRA adapters (r=64, alpha=128, 12 attention/FF projections) trained with Flow-Map GRPO on the T2I-Distill MeanFlow (flux1litemeanflow.pt) and sCM (flux1litescm.pt) students of Freepik/flux.1-lite-8B, plus the online-SFT / Diffusion-NFT baselines. Code: ZhiqiLi-CG/flowmapgrpo (branch and commit in each run folder's README). Layout: checkpoints/ / / [- ]/checkpoint- /{lora, loraema, trainingstate}. lora/ is the raw learner, loraema/ the EMA adapter used for all reported numbers, trainingstate/ the full resume point. Run folders carry a README.md and the training-time fullevalmetrics.jsonl where available. Evaluation protocol for the GRPO runs: K = sampling steps - 1 (K=4 is the 5-step…