List your company

Personalized Image Generation on CustomConcept101

0.6726DINO ScoreLoRA
0.4142640.4813320.54840.615468Mar 21, 2026

Evaluation results

MethodLinks
LoRASkip Ratio=-, Training Res.=512×512, Training Mem.=35.99 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.67260.79610.2937
LoRASkip Ratio=-, Training Res.=1024×1024, Training Mem.=8.35 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.65450.77920.3096
DiT-BlockSkipSkip Ratio=30 %, Training Res.=512×512, Training Mem.=4.29 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.65220.78260.304
DiT-BlockSkipSkip Ratio=40 %, Training Res.=512×512, Training Mem.=3.69 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.64890.7810.3025
HollowedNetSkip Ratio=30 %, Training Res.=1024×1024, Training Mem.=5.90 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.64590.77080.2983
DiT-BlockSkipSkip Ratio=30 %, Training Res.=256×256, Training Mem.=20.78 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.64550.77370.3004
DiT-BlockSkipSkip Ratio=50 %, Training Res.=512×512, Training Mem.=3.10 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.64410.77650.3033
DiT-BlockSkipSkip Ratio=40 %, Training Res.=256×256, Training Mem.=15.61 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.63770.76960.3007
HollowedNetSkip Ratio=40 %, Training Res.=1024×1024, Training Mem.=5.08 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.62570.75370.2932
DiT-BlockSkipSkip Ratio=50 %, Training Res.=256×256, Training Mem.=10.42 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.61370.75130.3056
LISASkip Ratio=-, Training Res.=512×512, Training Mem.=35.98 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.59850.74910.3085
HollowedNetSkip Ratio=50 %, Training Res.=1024×1024, Training Mem.=4.26 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.58280.71910.2955
LISASkip Ratio=-, Training Res.=1024×1024, Training Mem.=6.67 GiB, Base model=SANA, Inference resolution=1024 × 10242026.030.49440.6970.3213
HollowedNetSkip Ratio=40 %, Training Res.=512×512, Training Mem.=18.40 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.45680.66620.3073
HollowedNetSkip Ratio=30 %, Training Res.=512×512, Training Mem.=24.11 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.43780.6570.3021
HollowedNetSkip Ratio=50 %, Training Res.=512×512, Training Mem.=12.23 GiB, Inference resolution=1024 × 1024, Base Model=FLUX2026.030.42420.65530.3061