List your company

Text-to-image generation on MS-COCO (val)

1.53FIDZEUS-Medium
1.2183.3245.437.536Nov 22, 2022Jun 16, 2023Jan 9, 2024Aug 2, 2024Feb 25, 2025Sep 19, 2025Apr 14, 2026

Evaluation results

MethodLinks
ZEUS-MediumModel=FLUX, Scheduler=Euler (Flow)2026.041.53—————30.190.0472.09
SADAModel=FLUX, Scheduler=Euler (Flow)2026.041.95—————29.440.062.02
ZEUS-FastModel=FLUX, Scheduler=Euler (Flow)2026.042.49—————26.770.0792.47
PartiModel type=Autoregressive, Number of parameters=20B, Finetuned=true2022.113.22————————
SADAModel=SDXL, Scheduler=DPM++2026.043.51—————29.360.0841.86
ZEUS-MediumModel=SDXL, Scheduler=DPM++2026.043.59—————29.170.0841.87
SADAModel=SDXL, Scheduler=Euler2026.043.76—————28.970.0931.85
ZEUS-MediumModel=SDXL, Scheduler=Euler2026.043.87—————28.660.0951.85
SADAModel=SD-2, Scheduler=DPM++2026.044.02—————26.340.0941.8
SADAModel=SD-2, Scheduler=Euler2026.044.26—————26.250.11.81
AdaptiveDiffusionModel=SD-2, Scheduler=DPM++2026.044.35—————24.30.11.45
ZEUS-MediumModel=SD-2, Scheduler=DPM++2026.044.46—————25.720.1041.85
ZEUS-TurboModel=FLUX, Scheduler=Euler (Flow)2026.044.52—————21.80.1713.22
VeCoRSolver=SDE (E-M), CFG Scale (ω)=2.0, Steps=50, Augmentation Strategy=Random Crop and Resize (RCR)2025.114.55————————
AdaptiveDiffusionModel=SDXL, Scheduler=DPM++2026.044.59—————26.160.1251.65
MMDiT + REPABackbone=MMDiT, Representation Learner=REPA2026.014.6——20.9—————
MMDiT + VAE-REPABackbone=MMDiT, Representation Learner=VAE-REPA2026.014.67——20.92—————
MMDiT + SRABackbone=MMDiT, Representation Learner=SRA2026.014.74——21.12—————
ΔFMSolver=SDE (E-M), CFG Scale (ω)=2.0, Steps=502025.114.78————————
VeCoRSolver=ODE (Heun), CFG Scale (ω)=2.0, Steps=50, Augmentation Strategy=Random Crop and Resize (RCR)2025.114.82————————
TeaCacheModel=FLUX, Scheduler=Euler (Flow)2026.044.89—————19.140.2162
MMDiT + REPASolver=ODE (Heun), CFG Scale (ω)=2.0, Steps=502025.115.03————————
VeCoRSolver=SDE (E-M), CFG Scale (ω)=2.0, Steps=50, Augmentation Strategy=Random Channel Shuffle (RCS)2025.115.03————————
ZEUS-MediumModel=SD-2, Scheduler=Euler2026.045.06—————25.370.1181.86
MMDiT BaselineBackbone=MMDiT2026.015.08——20.54—————
ΔFMSolver=ODE (Heun), CFG Scale (ω)=2.0, Steps=502025.115.16————————
Re-ImagenModel type=Diffusion, Finetuned=true2022.115.25————————
MMDiTType=Diffusion2025.125.3————————
VeCoRSolver=ODE (Heun), CFG Scale (ω)=2.0, Steps=50, Augmentation Strategy=Random Channel Shuffle (RCS)2025.115.3————————
ZEUS-FastModel=SDXL, Scheduler=DPM++2026.045.39—————26.380.1291.93
U-ViT/S/2 (Deep)Type=Diffusion2025.125.45————————
U-ViT-S/2Type=Diffusion2025.125.95————————
MMDiT + REPASolver=SDE (E-M), CFG Scale (ω)=2.0, Steps=502025.116.03————————
AdaptiveDiffusionModel=SDXL, Scheduler=Euler2026.046.11—————24.330.1682.01
CONPREDIFF_conModel Type=Continuous Diffusion, Zero-shot=true, Resolution=256x2562024.016.21————————
APEXNFEs=2, Throughput (samples/s)=5.72, Latency (s)=0.23, Params (B)=1.6, Training Protocol=Full tuning2026.046.4228.24———————
APEXNFEs=2, Throughput (samples/s)=3.30, Latency (s)=0.45, Params (B)=20, Training Protocol=Full tuning2026.046.4428.51———————
ZEUS-FastModel=SDXL, Scheduler=Euler2026.046.47—————25.150.1531.93
Sana-SprintNFEs=2, Throughput (samples/s)=5.68, Latency (s)=0.24, Params (B)=1.6, Training Protocol=Full tuning2026.046.528.45———————
APEXNFEs=2, Throughput (samples/s)=3.17, Latency (s)=0.47, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.046.5128.42———————
Sana-SprintNFEs=2, Throughput (samples/s)=6.46, Latency (s)=0.25, Params (B)=0.6, Training Protocol=Full tuning2026.046.5428.4———————
ΔFMSolver=SDE (E-M), CFG Scale (ω)=1.0, Steps=502025.116.64————————
GroupDiff-4Type=Diffusion, Base Model=DiT-XL/2 w/ Cross-Attention2025.126.65————————
VeCoRSolver=SDE (E-M), CFG Scale (ω)=1.0, Steps=50, Augmentation Strategy=Random Channel Shuffle (RCS)2025.116.65————————
CONPREDIFF_disModel Type=Discrete Diffusion, Zero-shot=true, Resolution=256x2562024.016.67————————
APEXNFEs=2, Throughput (samples/s)=3.21, Latency (s)=0.49, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=32, Trainable Params (B)=0.22026.046.7228.71———————
TwinFlowNFEs=2, Throughput (samples/s)=3.15, Latency (s)=0.48, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.046.7328.57———————
Ernie-ViLG 2.0num of model=22025.126.75————————
APEXNFEs=2, Throughput (samples/s)=6.50, Latency (s)=0.25, Params (B)=0.6, Training Protocol=Full tuning2026.046.7528.33———————
Qwen-Image-LightningNFEs=2, Throughput (samples/s)=3.15, Latency (s)=0.48, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.046.7628.37———————
APEXNFEs=1, Throughput (samples/s)=6.84, Latency (s)=0.20, Params (B)=1.6, Training Protocol=Full tuning2026.046.7828.12———————
RCGMNFEs=2, Throughput (samples/s)=3.15, Latency (s)=0.48, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.046.828.63———————
APEXNFEs=1, Throughput (samples/s)=3.50, Latency (s)=0.34, Params (B)=20, Training Protocol=Full tuning2026.046.8728.66———————
Re-ImagenZero-shot=true2022.116.88————————
Re-ImagenModel type=Diffusion, Finetuned=false2022.116.88————————
eDiff-IModel Type=Continuous Diffusion, Zero-shot=true, Resolution=256x2562024.016.95————————
e-diffnum of model=32025.126.95————5.5———
DiT-XL/2 w/ Cross-AttentionType=Diffusion2025.126.95————————
APEXNFEs=1, Throughput (samples/s)=7.30, Latency (s)=0.20, Params (B)=0.6, Training Protocol=Full tuning2026.046.9928.36———————
Sana-SprintNFEs=1, Throughput (samples/s)=7.22, Latency (s)=0.21, Params (B)=0.6, Training Protocol=Full tuning2026.047.0428.04———————
Qwen-Image-LightningNFEs=1, Throughput (samples/s)=3.29, Latency (s)=0.40, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.047.0628.35———————
SDXL-DMD2NFEs=1, Throughput (samples/s)=3.36, Latency (s)=0.32, Params (B)=0.9, Training Protocol=Full tuning, Model Strategy=Distinct models per NFE2026.047.128.93———————
APEXNFEs=1, Throughput (samples/s)=3.27, Latency (s)=0.39, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.047.1428.45———————
APEXNFEs=1, Throughput (samples/s)=3.29, Latency (s)=0.39, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=32, Trainable Params (B)=0.22026.047.2228.62———————
PartiZero-shot=true2022.117.23————————
PartiModel type=Autoregressive, Number of parameters=20B, Finetuned=false2022.117.23————————
Parti-20BLM=true, MG=false, FIG=false, Zero-shot=true2023.097.23————————
Partimode=zero-shot, samples=30k, model_category=unimodal generation models2023.077.23————————
PartiModel Type=Autoregressive, Zero-shot=true, Resolution=256x2562024.017.23————————
FLUX-schnellNFEs=1, Throughput (samples/s)=1.58, Latency (s)=0.68, Params (B)=12.0, Training Protocol=Full tuning2026.047.2628.49———————
ImagenZero-shot=true2022.117.27————————
ImagenModel type=Diffusion, Finetuned=false2022.117.27————————
Imagen-3.4BLM=true, MG=false, FIG=false, Zero-shot=true2023.097.27————————
Imagenmode=zero-shot, samples=30k, model_category=unimodal generation models2023.077.27————————
ImagenModel Type=Continuous Diffusion, Zero-shot=true, Resolution=256x2562024.017.27————————
U-NetType=Diffusion2025.127.32————————
TwinFlowNFEs=1, Throughput (samples/s)=3.29, Latency (s)=0.40, Backbone Params (B)=20, Training Protocol=LoRA, LoRA rank=64, Trainable Params (B)=0.42026.047.3228.29———————
DeepCacheModel=SDXL, Scheduler=Euler2026.047.36—————220.2232.16
DeepCacheModel=SD-2, Scheduler=Euler2026.047.4—————18.910.2391.45
Make-A-SceneModel Type=Autoregressive, Zero-shot=false, Resolution=256x2562024.017.55————————
AdaptiveDiffusionModel=SD-2, Scheduler=Euler2026.047.58—————21.940.1731.89
SDXL-DMD2NFEs=2, Throughput (samples/s)=2.89, Latency (s)=0.40, Params (B)=0.9, Training Protocol=Full tuning, Model Strategy=Distinct models per NFE2026.047.6128.87———————
Sana-SprintNFEs=1, Throughput (samples/s)=6.71, Latency (s)=0.21, Params (B)=1.6, Training Protocol=Full tuning2026.047.6928.27———————
FLUX-schnellNFEs=2, Throughput (samples/s)=0.92, Latency (s)=1.15, Params (B)=12.0, Training Protocol=Full tuning2026.047.7528.25———————
DeepCacheModel=SD-2, Scheduler=DPM++2026.047.83—————17.70.2711.43
Muse-3BLM=true, MG=false, FIG=false, Zero-shot=true2023.097.88————————
MuseModel Type=Non-Autoregressive, Zero-shot=true, Resolution=256x2562024.017.88————————
VeCoRSolver=SDE (E-M), CFG Scale (ω)=1.0, Steps=50, Augmentation Strategy=Random Crop and Resize (RCR)2025.117.95————————
LafiteSupervised=true2022.118.12————————
LAFITEModel Type=GAN, Zero-shot=false, Resolution=256x2562024.018.12————————
LAFITEType=GAN2025.128.12————————
Simple DiffusionModel Type=Continuous Diffusion, Zero-shot=true, Resolution=256x2562024.018.32————————
Improved VQ-DiffusionModel Type=Discrete Diffusion, Zero-shot=true, Resolution=256x2562024.018.44————————
DREAMLLM-7BLM=true, MG=true, FIG=true, Zero-shot=true2023.098.46————————
DeepCacheModel=SDXL, Scheduler=DPM++2026.048.48—————21.350.2551.74
DREAMLLM-7BLM=true, MG=true, FIG=true, Zero-shot=true, stage=stage I alignment training2023.098.76————————
ToCaModel=FLUX, Scheduler=Euler (Flow)2026.048.84—————17.70.3521.52
FridoType=Diffusion2025.128.97————————
Teacher modelInference Steps=20 steps, Resolution=512x512, Batch size=12024.039.2730.28631.44——————
XMC-GANSupervised=true2022.119.33————————