Text-to-Image Generation on Text-to-Image Prompts
0.246Pick ScorePCVAE
Evaluation results
| Method | Links | ||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PCVAEPost-training protocol=Reinforcement fine-tuning, Lambda=0.032026.05 | 0.246 | — | — | — | 1.489 | 6.388 | 0.408 | 0.348 | 3.816 | 0.917 | 92.07 | 0.98 | 9.44 | 19.88 | 3.16 | 1.08 | 0.241 | 0.579 | |
| PCVAEPost-training protocol=Reinforcement fine-tuning, Lambda=0.102026.05 | 0.24 | — | — | — | 1.335 | 6.211 | 0.397 | 0.335 | 3.683 | 0.645 | 108.86 | 1.22 | 11.69 | 27.63 | 6.16 | 1.63 | 0.727 | 0.686 | |
| PECPost-training protocol=Reinforcement fine-tuning, Lambda=0.052026.05 | 0.24 | — | — | — | 1.446 | 6.412 | 0.412 | 0.338 | 3.748 | 0.832 | 105.01 | 1.09 | 10.73 | 26.11 | 4.86 | 1.42 | 0.546 | 0.689 | |
| PECPost-training protocol=Reinforcement fine-tuning, Lambda=0.102026.05 | 0.235 | — | — | — | 1.34 | 6.242 | 0.401 | 0.334 | 3.674 | 0.63 | 108.81 | 1.27 | 12.99 | 27.22 | 6.44 | 1.59 | 0.773 | 0.702 | |
| HERSBase Model=SDXL2026.01 | 0.232 | — | 0.278 | — | 0.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen-ImagePost-training protocol=DPO & Reinforcement fine-tuning2026.05 | 0.232 | — | — | — | 1.409 | 6.039 | 0.417 | 0.324 | 3.921 | 0.711 | 90.41 | 0.79 | 8.12 | 16.6 | 2.34 | 0.93 | 0.045 | 0.378 | |
| SD-3.5-LPost-training protocol=DPO2026.05 | 0.229 | — | — | — | 1.122 | 5.897 | 0.408 | 0.302 | 3.619 | 0.359 | 123.01 | 1.15 | 12.2 | 27.9 | 6.93 | 1.4 | 0.737 | 0.548 | |
| HiDream-DevPost-training protocol=Unknown2026.05 | 0.229 | — | — | — | 1.329 | 6.049 | 0.398 | 0.325 | 3.781 | 0.527 | 82.55 | 0.88 | 7.92 | 15.8 | 2.57 | 0.94 | 0.039 | 0.283 | |
| HERSBase Model=SD v1.52026.01 | 0.228 | — | 0.269 | — | 0.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SD-3.5-MPost-training protocol=DPO2026.05 | 0.227 | — | — | — | 1.113 | 5.711 | 0.404 | 0.301 | 3.553 | 0.256 | 115.56 | 1.17 | 12.4 | 28.1 | 6.76 | 1.39 | 0.721 | 0.489 | |
| SDXLPost-training protocol=None2026.05 | 0.226 | — | — | — | 0.98 | 5.836 | 0.411 | 0.294 | 3.41 | 0.205 | 124.96 | 1.2 | 13.7 | 32.4 | 10.1 | 1.48 | 0.937 | 0.571 | |
| Flux Dev (Base Model)Post-training protocol=Unknown2026.05 | 0.226 | — | — | — | 1.089 | 5.837 | 0.388 | 0.312 | 3.54 | 0.215 | 104.76 | 1.11 | 13.45 | 27.05 | 5.73 | 1.47 | 0.669 | 0.442 | |
| KolorsPost-training protocol=None2026.05 | 0.225 | — | — | — | 0.977 | 5.994 | 0.385 | 0.314 | 3.362 | 0.143 | 111.8 | 1.05 | 10.8 | 28.3 | 7.01 | 1.31 | 0.601 | 0.372 | |
| TTSnapAlgorithm Reward=Pick, Compute Budget=4k2025.11 | 0.2248 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Hunyuan-DiTPost-training protocol=Unknown2026.05 | 0.224 | — | — | — | 1.08 | 5.659 | 0.406 | 0.303 | 3.428 | 0.19 | 121.73 | 1.09 | 13.8 | 28.7 | 7.38 | 1.35 | 0.763 | 0.476 | |
| TTSpAlgorithm Reward=Pick, Compute Budget=4k2025.11 | 0.2238 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=Pick, Compute Budget=4k2025.11 | 0.2234 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=Pick, Compute Budget=2k2025.11 | 0.2232 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HERSBase Model=Versatile Diffusion2026.01 | 0.223 | — | 0.262 | — | 0.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=Pick, Compute Budget=2k2025.11 | 0.2223 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=All, Compute Budget=4k2025.11 | 0.2223 | 1.375 | 0.2919 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=Pick, Compute Budget=2k2025.11 | 0.2219 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=All, Compute Budget=4k2025.11 | 0.2213 | 1.36 | 0.2906 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=Pick, Compute Budget=1k2025.11 | 0.2212 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=All, Compute Budget=2k2025.11 | 0.2212 | 1.313 | 0.2902 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=All, Compute Budget=4k2025.11 | 0.221 | 1.348 | 0.2899 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=Pick, Compute Budget=1k2025.11 | 0.2208 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=All, Compute Budget=2k2025.11 | 0.2201 | 1.295 | 0.2889 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=Pick, Compute Budget=1k2025.11 | 0.2198 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=All, Compute Budget=2k2025.11 | 0.2198 | 1.28 | 0.2883 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=All, Compute Budget=1k2025.11 | 0.2193 | 1.228 | 0.2874 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=All, Compute Budget=1k2025.11 | 0.2185 | 1.206 | 0.2869 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=All, Compute Budget=1k2025.11 | 0.2184 | 1.185 | 0.2862 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SELMABase Model=SDXL2026.01 | 0.218 | — | 0.249 | — | 0.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HERSBase Model=VQ-Diffusion2026.01 | 0.217 | — | 0.253 | — | 0.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SELMABase Model=SD v1.52026.01 | 0.215 | — | 0.233 | — | 0.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Random samplingAlgorithm Reward=Pick, Compute Budget=02025.11 | 0.2139 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Random samplingAlgorithm Reward=All, Compute Budget=02025.11 | 0.2129 | 0.843 | 0.2791 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SELMABase Model=Versatile Diffusion2026.01 | 0.212 | — | 0.235 | — | 0.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SELMABase Model=VQ-Diffusion2026.01 | 0.207 | — | 0.227 | — | 0.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=IR, Compute Budget=1k2025.11 | — | 1.315 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=HPS, Compute Budget=1k2025.11 | — | — | 0.2883 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=IR, Compute Budget=2k2025.11 | — | 1.427 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=HPS, Compute Budget=2k2025.11 | — | — | 0.2911 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=IR, Compute Budget=4k2025.11 | — | 1.501 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BoNAlgorithm Reward=HPS, Compute Budget=4k2025.11 | — | — | 0.2934 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Random samplingAlgorithm Reward=IR, Compute Budget=02025.11 | — | 0.905 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Random samplingAlgorithm Reward=HPS, Compute Budget=02025.11 | — | — | 0.2803 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=IR, Compute Budget=1k2025.11 | — | 1.386 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=HPS, Compute Budget=1k2025.11 | — | — | 0.2891 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=IR, Compute Budget=2k2025.11 | — | 1.504 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=HPS, Compute Budget=2k2025.11 | — | — | 0.293 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=IR, Compute Budget=4k2025.11 | — | 1.566 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=HPS, Compute Budget=4k2025.11 | — | — | 0.2952 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=IR2025.11 | — | — | — | 14.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=Pick2025.11 | — | — | — | 16.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=HPS2025.11 | — | — | — | 15.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=All, Evaluation Metric=IR2025.11 | — | — | — | 10.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=All, Evaluation Metric=Pick2025.11 | — | — | — | 20.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSnapAlgorithm Reward=All, Evaluation Metric=HPS2025.11 | — | — | — | 21.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=IR, Compute Budget=1k2025.11 | — | 1.348 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=HPS, Compute Budget=1k2025.11 | — | — | 0.2886 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=IR, Compute Budget=2k2025.11 | — | 1.454 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=HPS, Compute Budget=2k2025.11 | — | — | 0.2915 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=IR, Compute Budget=4k2025.11 | — | 1.525 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=HPS, Compute Budget=4k2025.11 | — | — | 0.2939 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=IR2025.11 | — | — | — | 3.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=Pick2025.11 | — | — | — | 2.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=HPS2025.11 | — | — | — | 1.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=All, Evaluation Metric=IR2025.11 | — | — | — | 2.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=All, Evaluation Metric=Pick2025.11 | — | — | — | 0.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TTSpAlgorithm Reward=All, Evaluation Metric=HPS2025.11 | — | — | — | 5.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — |