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Text-to-image generation on DrawBench (Efficiency and Fidelity Metrics)

5.5Latency (s)X-Slim(C2F)
4.627210.518616.4122.3014Dec 14, 2025Dec 27, 2025Jan 9, 2026Jan 22, 2026Feb 4, 2026Feb 17, 2026Mar 2, 2026

Evaluation results

MethodLinks
X-Slim(C2F)setting=fast2025.125.54.970.98060.315319.2410.73210.2919
SpectrumModel=FLUX.1 [17], alpha (α)=3.02026.035.64.79127.6422.210.7880.261
20% stepsSteps=102025.125.744.750.78780.313914.5290.61530.4733
Uniform CacheN=52025.125.84.710.79910.314214.530.6120.4755
SpectrumModel=Stable Diffusion 3.5-Large [4], alpha (α)=3.02026.035.814.320.822815.680.620.43
X-Slim(S)setting=fast2025.125.834.690.9810.315619.560.7520.2884
TeaCacheδ=12025.125.964.580.86190.313715.4720.64370.4378
TaylorSeerModel=FLUX.1 [17], N=6, O=12026.036.484.14127.620.240.7850.294
FORAModel=FLUX.1 [17], N=62026.036.494.130.8527.314.330.6130.505
TaylorSeerModel=FLUX.1 [17], N=6, O=22026.036.523.990.9927.3917.410.7080.389
FORAModel=Stable Diffusion 3.5-Large [4], N=62026.036.733.720.0226.199.050.3890.687
TeaCacheModel=FLUX.1 [17], delta (δ)=0.82026.036.753.85127.6316.710.6950.406
TaylorSeerModel=Stable Diffusion 3.5-Large [4], N=6, O=22026.036.763.710.125.99.360.4290.636
TaylorSeerModel=Stable Diffusion 3.5-Large [4], N=6, O=12026.036.783.690.3227.2711.180.5050.535
TeaCacheModel=Stable Diffusion 3.5-Large [4], delta (δ)=0.82026.037.173.490.3927.0810.040.4720.589
ToCaN=82025.127.193.80.86080.303916.3510.52430.5319
Δ-DitN=52025.127.513.640.82340.301914.1030.63910.4588
TaylorSeerN=62025.127.593.60.96880.318215.780.65140.4014
15 stepsModel=Stable Diffusion 3.5-Large [4], Sampling Steps=152026.037.713.250.8528.7510.510.4530.595
SpectrumModel=FLUX.1 [17], alpha (α)=0.752026.037.733.470.9927.6524.320.8540.217
SpectrumModel=Stable Diffusion 3.5-Large [4], alpha (α)=0.752026.037.823.210.9728.6117.830.7430.305
15 stepsModel=FLUX.1 [17], Sampling Steps=152026.038.043.24127.5615.770.6730.432
X-Slim(C2F)setting=slow2025.128.113.370.99020.316221.30.80970.2105
30% stepsSteps=152025.128.43.250.90160.315315.4940.65850.4035
FORAModel=FLUX.1 [17], N=42026.038.43.190.9727.5515.150.6510.454
TeaCacheδ=0.62025.128.423.240.97180.314516.9380.70060.3433
TaylorSeerModel=FLUX.1 [17], N=4, O=12026.038.553.130.9927.622.310.8410.215
TaylorSeerModel=FLUX.1 [17], N=4, O=22026.038.593.031.0227.6120.760.8120.247
FORAModel=Stable Diffusion 3.5-Large [4], N=42026.038.632.90.2727.039.540.4370.606
TaylorSeerModel=Stable Diffusion 3.5-Large [4], N=4, O=22026.038.72.880.4427.2411.120.5130.529
ToCaN=52025.128.733.130.89510.310517.2880.60070.4217
TaylorSeerModel=Stable Diffusion 3.5-Large [4], N=4, O=12026.038.752.860.8227.9113.130.6050.428
X-Slim(S)setting=slow2025.129.083.010.99010.316421.7170.81620.1905
Uniform CacheN=32025.129.582.850.89590.31515.8160.67260.3828
TeaCacheModel=FLUX.1 [17], delta (δ)=0.42026.0310.662.441.0327.6818.70.7620.311
TeaCacheModel=Stable Diffusion 3.5-Large [4], delta (δ)=0.42026.0310.752.330.7827.4611.890.5270.512
TaylorSeerN=32025.1211.632.350.98140.315819.6030.7820.2231
Δ-DitN=32025.1212.362.210.89870.315115.6330.66490.3915
25 stepsModel=Stable Diffusion 3.5-Large [4], Sampling Steps=252026.0312.671.981.0228.7812.410.5930.464
25 stepsModel=FLUX.1 [17], Sampling Steps=252026.0313.231.971.0127.5818.110.7520.322
ToCaModel=FLUX.1 [17], N=6, R=0.92026.0313.381.950.9927.6116.490.6660.439
50% stepsSteps=252025.1213.781.980.9640.315217.9220.73990.2867
ToCaModel=Stable Diffusion 3.5-Large [4], N=6, R=0.92026.0313.991.790.1726.339.530.4460.611
ToCaModel=FLUX.1 [17], N=4, R=0.92026.0316.931.581.0327.6317.180.7240.362
ToCaModel=Stable Diffusion 3.5-Large [4], N=4, R=0.92026.0317.271.450.5127.1910.550.4830.557
50 stepsModel=Stable Diffusion 3.5-Large [4], Sampling Steps=502026.0325.0511.0528.66———
50 stepsModel=FLUX.1 [17], Sampling Steps=502026.0326.031127.49———
OriginalSteps=502025.1227.3210.98860.3159———