List your company

Text-to-Image Generation on GenEval 2 (Component Scores)

83.59Object AccuracyHyperNoise
71.47474.619577.76580.9105May 8, 2026

Evaluation results

MethodLinks
HyperNoiseBase Model=SANA-Sprint, Time(s)=0.5322026.0583.5954.1834.8436.3220.6645.92
ReNoBase Model=SANA-Sprint, Time(s)=14.9642026.0583.1656.5734.7338.3613.4445.25
LENSBase Model=SANA-Sprint, Time(s)=0.3522026.0582.9855.2736.1236.3818.2145.79
ReNoBase Model=SD-Turbo, Time(s)=11.3712026.0581.0250.4231.9132.586.940.57
SANA-SprintBase Model=SANA-Sprint, Time(s)=0.3362026.0580.2354.7333.0133.3115.5343.36
ReNoBase Model=Hyper-SDXL, Time(s)=45.132026.0580.0656.7932.6127.533.5940.12
LENSBase Model=SD-Turbo, Time(s)=0.1122026.0575.0743.0826.0828.465.7835.69
HyperNoiseBase Model=SD-Turbo, Time(s)=0.1942026.0574.944323.9527.675.2334.96
LENSBase Model=Hyper-SDXL, Time(s)=0.4242026.0572.9653.4727.8421.454.3936.02
SD-TurboBase Model=SD-Turbo, Time(s)=0.1072026.0572.2742.6521.1528.15.633.95
HyperNoiseBase Model=Hyper-SDXL, Time(s)=0.6942026.0571.9752.0227.0621.584.7635.48
Hyper-SDXLBase Model=Hyper-SDXL, Time(s)=0.4142026.0571.9451.9726.8821.143.2835.04