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Text-to-Image Generation on GenEval2 In-Domain

92.6GenEval2 ScoreFlow-DPPO + CPS
9.19230.84652.574.154Jun 9, 2026

Evaluation results

MethodLinks
Flow-DPPO + CPSBase Model=FLUX2-klein-base-9B, Strategy=single-reward RL fine-tuning2026.0692.60.31521.970.279
Flow-DPPO + CPSBase Model=FLUX.1-dev, Strategy=single-reward RL fine-tuning2026.0691.60.33123.290.322
Flow-CPSBase Model=FLUX.1-dev, Strategy=single-reward RL fine-tuning2026.0691.20.32823.20.317
Flow-DPPOBase Model=FLUX.1-dev, Strategy=single-reward RL fine-tuning2026.0690.70.33123.150.323
Flow-GRPOBase Model=FLUX.1-dev, Strategy=single-reward RL fine-tuning2026.0687.80.33123.030.311
GRPO-GuardBase Model=FLUX.1-dev, Strategy=single-reward RL fine-tuning2026.0687.60.33322.690.293
GRPO-GuardBase Model=SD3.5-medium, Strategy=single-reward RL fine-tuning2026.0685.80.32822.030.252
Flow-DPPOBase Model=FLUX2-klein-base-9B, Strategy=single-reward RL fine-tuning2026.0685.10.33122.220.294
Flow-GRPOBase Model=FLUX2-klein-base-9B, Strategy=single-reward RL fine-tuning2026.0684.50.31421.820.276
Flow-DPPO + CPSBase Model=SD3.5-medium, Strategy=single-reward RL fine-tuning2026.0684.10.31621.990.262
GRPO-GuardBase Model=FLUX2-klein-base-9B, Strategy=single-reward RL fine-tuning2026.0682.80.31220.520.21
Flow-CPSBase Model=FLUX2-klein-base-9B, Strategy=single-reward RL fine-tuning2026.0682.70.31121.820.261
Flow-DPPOBase Model=SD3.5-medium, Strategy=single-reward RL fine-tuning2026.0678.90.31922.060.263
Flow-CPSBase Model=SD3.5-medium, Strategy=single-reward RL fine-tuning2026.0674.80.31321.680.235
Diffusion-NFTBase Model=SD3.5-medium, Strategy=single-reward RL fine-tuning2026.0664.50.30721.690.251
Flow-DPPOBase Model=FLUX2-klein-base-9B, Training Strategy=multi-reward RL fine-tuning2026.0657.736.425.7641.8
Flow-DPPOBase Model=FLUX2-klein-base-9B, Strategy=multi-reward RL fine-tuning2026.0657.70.36425.760.418
Flow-GRPOBase Model=SD3.5-medium, Strategy=single-reward RL fine-tuning2026.0656.60.29721.210.219
Flow-DPPO + CPSBase Model=FLUX2-klein-base-9B, Training Strategy=multi-reward RL fine-tuning2026.0655.238.626.1542.7
Flow-DPPO + CPSBase Model=FLUX2-klein-base-9B, Strategy=multi-reward RL fine-tuning2026.0655.20.38626.150.427
Flow-DPPO + CPSBase Model=SD3.5-medium, Training Strategy=multi-reward RL fine-tuning2026.0651.636.925.7241.5
Flow-DPPO + CPSBase Model=SD3.5-medium, Strategy=multi-reward RL fine-tuning2026.0651.60.36925.720.415
GRPO-GuardBase Model=FLUX2-klein-base-9B, Training Strategy=multi-reward RL fine-tuning2026.064937.525.2741.1
GRPO-GuardBase Model=FLUX2-klein-base-9B, Strategy=multi-reward RL fine-tuning2026.06490.37525.270.411
Flow-DPPOBase Model=SD3.5-medium, Training Strategy=multi-reward RL fine-tuning2026.0648.134.525.6340.9
Flow-DPPOBase Model=SD3.5-medium, Strategy=multi-reward RL fine-tuning2026.0648.10.34525.630.409
GRPO-GuardBase Model=SD3.5-medium, Training Strategy=multi-reward RL fine-tuning2026.0647.835.325.6440.9
GRPO-GuardBase Model=SD3.5-medium, Strategy=multi-reward RL fine-tuning2026.0647.80.35325.640.409
Diffusion-NFTBase Model=FLUX2-klein-base-9B, Training Strategy=multi-reward RL fine-tuning2026.0647.333.624.8738.9
Diffusion-NFTBase Model=FLUX2-klein-base-9B, Strategy=multi-reward RL fine-tuning2026.0647.30.33624.870.389
Flow-CPSBase Model=FLUX2-klein-base-9B, Training Strategy=multi-reward RL fine-tuning2026.0647.136.125.741.6
Flow-CPSBase Model=FLUX2-klein-base-9B, Strategy=multi-reward RL fine-tuning2026.0647.10.36125.70.416
Flow-GRPOBase Model=FLUX2-klein-base-9B, Training Strategy=multi-reward RL fine-tuning2026.0646.837.125.6141.2
Flow-GRPOBase Model=FLUX2-klein-base-9B, Strategy=multi-reward RL fine-tuning2026.0646.80.37125.610.412
Flow-CPSBase Model=SD3.5-medium, Training Strategy=multi-reward RL fine-tuning2026.0644.635.925.5140.7
Gemini 2.5 Flash ImageBase Model=Gemini 2.5 Flash Image, Strategy=State-of-the-Art T2I Models2026.0644.6———
Flow-CPSBase Model=SD3.5-medium, Strategy=multi-reward RL fine-tuning2026.0644.60.35925.510.407
Diffusion-NFTBase Model=SD3.5-medium, Training Strategy=multi-reward RL fine-tuning2026.0642.533.425.339.4
Diffusion-NFTBase Model=SD3.5-medium, Strategy=multi-reward RL fine-tuning2026.0642.50.33425.30.394
Flow-GRPOBase Model=SD3.5-medium, Training Strategy=multi-reward RL fine-tuning2026.0639.935.825.0939.9
Flow-GRPOBase Model=SD3.5-medium, Strategy=multi-reward RL fine-tuning2026.0639.90.35825.090.399
Qwen-ImageBase Model=Qwen-Image, Strategy=State-of-the-Art T2I Models2026.0633.8———
FLUX2-klein-base-9BBase Model=FLUX2-klein-base-9B, Training Strategy=Pretrained baselines (before RL)2026.0625.428.120.9222.8
FLUX2-klein-base-9BBase Model=FLUX2-klein-base-9B, Strategy=Pretrained (before RL)2026.0625.40.28120.920.228
FLUX.1-devBase Model=FLUX.1-dev, Training Strategy=Pretrained baselines (before RL)2026.0623.329.723.2631.5
FLUX.1-devBase Model=FLUX.1-dev, Strategy=Pretrained (before RL)2026.0623.30.29723.260.315
Bagel + CoTBase Model=Bagel + CoT, Strategy=State-of-the-Art T2I Models2026.0623.1———
SD3.5-largeBase Model=SD3.5-large, Strategy=State-of-the-Art T2I Models2026.0622.8———
SD3.5-mediumBase Model=SD3.5-medium, Training Strategy=Pretrained baselines (before RL)2026.0612.4252121.3
SD3.5-mediumBase Model=SD3.5-medium, Strategy=Pretrained (before RL)2026.0612.40.25210.213