List your company

Text-to-image generation on OneIG-Bench

0.885AlignmentQwen-Image Lightning
0.539720.629360.7190.80864Oct 16, 2025Nov 4, 2025Nov 23, 2025Dec 13, 2025Jan 1, 2026Jan 20, 2026Feb 9, 2026

Evaluation results

MethodLinks
Qwen-Image LightningDistill Method=VSD, NFE=42025.100.8850.9230.1160.4170.311————
π-Flow (GM-Qwen)Distill Method=π-ID (data-free), NFE=42025.100.8810.890.1760.4330.3————
Qwen-Image-20BNFE=50 x 22026.020.880.8880.1940.4270.306————
Qwen-ImageDistill Method=-, NFE=50×22025.100.880.8880.1940.4270.306————
ArcFlow-QwenNFE=22026.020.8770.8530.1820.4210.289————
Qwen-Image-LightningNFE=22026.020.8750.8790.0980.4150.292————
π-Flow (GM-Qwen)Distill Method=π-ID, NFE=42025.100.8750.8920.180.4340.298————
TwinFlow (Qwen)NFE=22026.020.8620.8250.130.3640.267————
pi-Flow (GM-Qwen)NFE=22026.020.8370.6340.1760.3820.259————
SD3.5 LargeModality Ablation=Image-Only2026.010.8090.6290.2250.3530.294————
Image RWRModality Ablation=Multimodal2026.010.8040.0770.1440.3640.219————
Text RWRModality Ablation=Multimodal2026.010.8030.0570.1490.3660.22————
Multimodal RWRModality Ablation=Multimodal2026.010.8020.1890.1410.370.22————
Multimodal SFTModality Ablation=Multimodal2026.010.80.010.1430.3650.219————
π-Flow (GM-FLUX)Distill Method=π-ID, NFE=42025.100.7990.4370.2290.360.251————
π-Flow (GM-FLUX)Distill Method=π-ID (data-free), NFE=42025.100.7990.460.2240.3630.249————
ArcFlow-FLUXNFE=22026.020.7980.3680.210.350.224————
Image-Only SFTModality Ablation=Image-Only2026.010.7980.0460.2150.3540.219————
BAGEL MultimodalModality Ablation=Multimodal2026.010.7930.020.2090.390.206————
π-Flow (GM-FLUX)Distill Method=π-ID, NFE=82025.100.7920.5170.2340.3690.256————
FLUX TurboDistill Method=GAN, NFE=82025.100.7910.3340.2340.370.239————
FLUX.1-devNFE=502026.020.790.5560.2380.3070.257————
FLUX.1 devDistill Method=-, NFE=502025.100.790.5560.2380.370.257————
Hyper-FLUXDistill Method=CD+Re, NFE=82025.100.790.530.1980.3690.254————
FLUX.1[dev]Modality Ablation=Image-Only2026.010.7860.5230.2380.3680.253————
SenseFlow (FLUX)Distill Method=VSD+CD+GAN, NFE=42025.100.7760.3840.1510.3430.238————
BAGEL Image-OnlyModality Ablation=Image-Only2026.010.7690.2440.2510.3670.173————
Pi-Flow (GM-FLUX)NFE=22026.020.7640.1410.2160.3320.212————
SenseFlow (FLUX)NFE=22026.020.7430.230.1390.3410.212————
BLIP3-oModality Ablation=Multimodal2026.010.7110.0130.2290.3610.223————
Show-oModality Ablation=Multimodal2026.010.7020.0020.2410.3610.213————
SD XLModality Ablation=Image-Only2026.010.6880.0290.2960.3320.237————
Janus-Pro-7BModality Ablation=Multimodal2026.010.5530.0010.3650.2760.139————
Base modelModel Context=FLUX.1-dev, P.(B)↓=12, M.(%)↓=100, L.(ms)↓=7152025.11—————0.434—0—
Base modelModel Context=FLUX.1 Lite, P.(B)↓=8, M.(%)↓=78.8, L.(ms)↓=5722025.11—————0.378—0—
Base modelModel Context=Qwen-Image, P.(B)↓=20, M.(%)↓=100, L.(ms)↓=26252025.11—————0.5390.5480—
BaselineNFE=22026.06————————51.72
Baseline + Teacher as RealNFE=22026.06————————51.89
Baseline + Teacher as Real + Decoupling WeightNFE=22026.06————————52.15
Chroma1-HDModel Context=FLUX.1-dev, P.(B)↓=8.9, M.(%)↓=82.5, L.(ms)↓=17142025.11—————0.49—1.02—
DMD2NFE=22026.06————————50.7
FLUX.1 LiteModel Context=FLUX.1-dev, P.(B)↓=8, M.(%)↓=78.8, L.(ms)↓=5722025.11—————0.378—6.09—
HierarchicalPruneModel Context=FLUX.1-dev, P.(B)↓=8, M.(%)↓=74.4, L.(ms)↓=5432025.11—————0.351—13.38—
HierarchicalPruneModel Context=Qwen-Image, P.(B)↓=14, M.(%)↓=79.4, L.(ms)↓=17862025.11—————0.5090.4966.49—
Nucleus-ImageConfiguration=1024 × 10242026.04————————52.2
PPCL(10B)Model Context=Qwen-Image, P.(B)↓=10, M.(%)↓=66.9, L.(ms)↓=14622025.11—————0.4850.5016.88—
PPCL(12B)Model Context=Qwen-Image, P.(B)↓=12, M.(%)↓=71.4, L.(ms)↓=15142025.11—————0.5170.5313.03—
PPCL(14B)Model Context=Qwen-Image, P.(B)↓=14, M.(%)↓=79.4, L.(ms)↓=17922025.11—————0.5360.5380.42—
PPCL(6.5B)Model Context=FLUX.1 Lite, P.(B)↓=6.5, M.(%)↓=69.2, L.(ms)↓=4282025.11—————0.371—0.07—
PPCL(8B)Model Context=FLUX.1-dev, P.(B)↓=8, M.(%)↓=74.4, L.(ms)↓=5352025.11—————0.456—4.03—
PPCL(Fine-tuning)Model Context=Qwen-Image, P.(B)↓=10, M.(%)↓=66.9, L.(ms)↓=14622025.11—————0.4990.5193.29—
TinyFusionModel Context=FLUX.1-dev, P.(B)↓=8, M.(%)↓=74.4, L.(ms)↓=5342025.11—————0.345—13.8—
TinyFusionModel Context=Qwen-Image, P.(B)↓=14, M.(%)↓=79.4, L.(ms)↓=17892025.11—————0.50.4988.75—
Twin FlowNFE=22026.06————————51.38
Z-Image Turbo++NFE=22026.06————————52.5
Z-Image Turbo++ w/ Per-Step LoRANFE=22026.06————————50.96
Z-Image Turbo++ w/ Shared WeightNFE=22026.06————————50.67
Z-Image Turbo++ w/o Step-1 LossNFE=22026.06————————50.16
Z-Image-TurboNFE=22026.06————————50.94
Z-Image-TurboNFE=82026.06————————52.84