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Class-conditional image generation on ImageNet 256x256 (val)

366Inception Score (IS)SiT-XL/2 (REPA)
295.176313.563331.95350.337Sep 6, 2024Dec 25, 2024Apr 14, 2025Aug 3, 2025Nov 21, 2025Mar 11, 2026Jun 30, 2026

Evaluation results

MethodLinks
SiT-XL/2 (REPA)Guidance scale (ω)=1.8, Sampler=ODE, Resolution=256x256, Samples=50k, Inference timesteps=2502026.03366———86543.644.9——————————
FPPrec. (W/A)=32/32, Sampling steps=202025.05364.72—————11.697.67——————————
C2FGBackbone=SiT-XL/2 (REPA), Guidance scale (ω0)=1.7, λ=0.15, Sampler=ODE, Resolution=256x256, Samples=50k, Inference timesteps=2502026.03364.2———86553.44.7——————————
EDA-DMPrec. (W/A)=6/6, Sampling steps=202025.05360.77—————11.528.02——————————
IAR2-XXL*Type=AR, Parameters=1.5B, Reject sampling=true, variant=row_62025.10360.6———78612.1———————————
VAR-d30Params.=2.0B, Rejection sampling=true, Resolution=256x2562024.10356.4———83571.8———————————
MaskGIT-reType=Bi-directional AR, #Para.=227M, Steps=8, Rejection Sampling=true2025.04355.6—————4.02———————————
MaskGIT*Type=Mask., Parameters=227M, Reject sampling=true2025.10355.6—————4.02———————————
EfficientDMPrec. (W/A)=6/6, Sampling steps=202025.05351.79—————9.546.88——————————
OursPrec. (W/A)=6/6, LoRA Hub size (h)=4, Sampling steps=202025.05351.79—————10.16.65——————————
VAR_d30Classifier-Free Guidance (CFG)=true2025.02350.2———82601.73———————————
VAREpochs=350, #Params=2.0B, Model Space=Latent Autoregressive, Guidance=w/ guidance2026.05350.2———8260———————1.73————
OursPrec. (W/A)=6/6, LoRA Hub size (h)=2, Sampling steps=202025.05349.91—————10.17.43——————————
FractalMAR-HType=Pixel, Epochs=600, CFG=Enabled2026.02348.9———81466.15———————————
Flow-DPMNumber of Function Evaluations (NFE)=152026.01341.85———83582.325.49——————————
VAR-d30Params.=2.0B, Rejection sampling=false, Resolution=256x2562024.10334.7———81611.97———————————
ELM-XLParams.=757M, Tokenizer configuration=2-10, Rejection sampling=false, Resolution=256x2562024.10332.99———80591.79———————————
ELM-2BParams.=1.9B, Tokenizer configuration=2-12, Rejection sampling=false, Resolution=256x2562024.10332.69———81601.54———————————
ELM-XXLParams.=1.4B, Tokenizer configuration=2-12, Rejection sampling=false, Resolution=256x2562024.10330.43———80601.58———————————
ComposerBackbone=VAR d-30, Step=10, Parameter=2.2B, Time=1.07 (+7%), Memory=16.97G2026.03330.4———83631.79———————————
MaskBitFamily=Masked & AR, Steps=256, #Params=305M, Config=Record 12025.09328.6—————1.52———————————
Flow-UniPCNumber of Function Evaluations (NFE)=152026.01327.72———82582.598.37——————————
Test-time TrainingBackbone=VAR d-30, Step=10, Parameter=2.0B, Time=112.37 (+11,137%), Memory=28.41G2026.03327.7———81621.85———————————
Euler-SolverNumber of Function Evaluations (NFE)=152026.01326.91———82572.564.76——————————
BA-solverNumber of Function Evaluations (NFE)=152026.01326.67———81621.654.43——————————
RAR_XXLClassifier-Free Guidance (CFG)=true2025.02326———80631.48———————————
RAR-XXLToken Type=Discrete Tokens, Train Tokens=131M, Infer Tokens=256, #Params=1.5B2026.02326———80631.48———————————
LFQ + MAGVITv2Tokenizer=LFQ, Generator=MAGVITv2, Type=MGM, #Params=307 M, CFG=w/ CFG2025.10324.3————————————1.91————
RQTran.Params.=3.8B, Rejection sampling=true, Resolution=256x2562024.10323.7—————3.8———————————
RQTran.-reType=AR, #Para.=3.8B2024.09323.7—————3.8———————————
RQTran.*Type=AR, Parameters=3.8B, Reject sampling=true2025.10323.7—————3.8———————————
VAR-d30Type=VAR, #Para.=2.0B2024.09323.1———82591.92———————————
VAR-d30Token Type=Discrete Tokens, Train Tokens=115M, Infer Tokens=256, #Params=2B2026.02323.1———82591.92———————————
StandardBackbone=VAR d-30, Step=10, Parameter=2.0B, Time=1, Memory=16.57G2026.03323.1———82591.97———————————
VAREpochs=350, #Params=2.0B, Model Space=Latent Autoregressive, Guidance=w/o guidance2026.05323.1———8259———————1.92————
VAR-d30Type=VAR., Parameters=2.0B, Reject sampling=false2025.10323.1———82591.92———————————
RandAR-XXLToken Type=Discrete Tokens, Train Tokens=98M, Infer Tokens=256, #Params=1.4B2026.02322———79622.15———————————
SiT-XL/2 + MGClassifier-Free Guidance (CFG)=false2025.02321.5———81651.344.58——————————
BA-solverNumber of Function Evaluations (NFE)=72026.01320.49———78641.966.06——————————
MaskBitFamily=Masked & AR, Steps=64, #Params=305M2025.09319.97———81601.66———————————
ComposerBackbone=VAR d-24, Step=10, Parameter=1.15B, Time=0.63 (+5%), Memory=8.51G2026.03319.5———83642.08———————————
MAGVIT-v2Token Type=Discrete Tokens, Train Tokens=88M, Infer Tokens=256, #Params=307M2026.02319.4—————1.78———————————
MAGVIT-v2Family=Masked & AR, Steps=64, #Params=307M2025.09319.4—————1.78———————————
Flow-DPMNumber of Function Evaluations (NFE)=102026.01318.08———82572.626.27——————————
Test-time TrainingBackbone=VAR d-24, Step=10, Parameter=1.0B, Time=75.84 (+12,540%), Memory=14.41G2026.03317.3———80642.15———————————
Flow-UniPCNumber of Function Evaluations (NFE)=102026.01316.97———83523.276.09——————————
C2FGBackbone=SiT-XL/2 (REPA), Guidance scale (ω0)=1, λ=1, Sampler=SDE, Resolution=256x256, Samples=50k, Inference timesteps=2502026.03315———80621.514.6——————————
MDTv2Classifier-Free Guidance (CFG)=true2025.02314.7———79651.584.52——————————
MDTv2Token Type=Continuous Tokens, Train Tokens=131B, Infer Tokens=256, #Params=675M2026.02314.7———79651.58———————————
MDTv2Epochs=1080, #Params=675M, Model Space=Latent Diffusion, Guidance=w/ guidance2026.05314.7———7965———————1.58———0.61
MDTv2Epochs=1080, Params=675M, CFG=true2026.06314.7———7965—4.52—————1.58————
Heun-SolverNumber of Function Evaluations (NFE)=152026.01314.36———81611.995.42——————————
RandAR-XLToken Type=Discrete Tokens, Train Tokens=98M, Infer Tokens=256, #Params=775M2026.02314.2———80602.22———————————
VAR-d24Params.=1.0B, Rejection sampling=false, Resolution=256x2562024.10312.9———82592.09———————————
VAR-d24Type=VAR, #Para.=1.0B2024.09312.9———82592.09———————————
StandardBackbone=VAR d-24, Step=10, Parameter=1.0B, Time=0.60, Memory=8.21G2026.03312.9———82592.33———————————
LlamaGenTokenizer=Discrete, Params=3.1B, Steps=5762025.03311.6———84542.81———————5———
BA-solverNumber of Function Evaluations (NFE)=102026.01311.16———80631.724.92——————————
DDTEpochs=400, #Params=675M, Model Space=Latent Diffusion, Guidance=w/ guidance2026.05310.6———7965———————1.26———0.61
Di[M]O-MaskBitFamily=Discrete Distillation, Steps=1, #Params=305M2025.09310.13———87492.89———————————
QUESTPrec. (W/A)=6/6, Sampling steps=202025.05310.12—————8.459.36——————————
C2FGBackbone=SiT-XL/2 (REPA, Interval), Guidance scale (ω0)=1.8, λ=0.03, Sampler=SDE, Resolution=256x256, Samples=50k, Inference timesteps=2502026.03308———80651.414.7——————————
RAR-XLToken Type=Discrete Tokens, Train Tokens=131M, Infer Tokens=256, #Params=955M2026.02306.9———80621.5———————————
RAR-XLType=Causal AR, #Para.=955M, Steps=2562025.04306.9———800.621.5———————————
REPAEpochs=800, #Params=675M, Model Space=Latent Diffusion, Guidance=w/ guidance2026.05306.3———7964———————1.29———0.61
BA-solverNumber of Function Evaluations (NFE)=52026.01306.22———76632.848.09——————————
MaskBitFamily=Masked & AR, Steps=256, #Params=305M, Config=Record 22025.09306.12———81601.58———————————
VARType=MIM+AR, #Param=600M, #Epoch=250, Classifier-free guidance=true2024.10306.1—————2.95———————————
REPAClassifier-Free Guidance (CFG)=true2025.02305.7———80651.424.7——————————
REPA-XL/2Type=Latent, Epochs=800, Sampler=Euler, Steps=250, CFG=Enabled2026.02305.7———80641.42———————————
REPAToken Type=Continuous Tokens, Train Tokens=262B, Infer Tokens=256, #Params=675M2026.02305.7———80651.42———————————
SD-VAE + REPATokenizer=SD-VAE, Generator=REPA, Type=LDM, #Params=675 M, CFG=w/ CFG2025.10305.7————————————1.42————
SiT-XL/2 (REPA, Interval)Guidance scale (ω)=1.8, tl=0, th=0.7, Sampler=SDE, Resolution=256x256, Samples=50k, Inference timesteps=2502026.03305.7———80651.424.7——————————
MAR-H + Drift-ARArchitecture=MAR, Scale=H, Acceleration=Drift-AR, NFE=12026.03304.6—————1.53————————1.935.16—
MAR-HParams.=943M, Rejection sampling=false, Resolution=256x2562024.10303.7———81621.55———————————
MAR-HClassifier-Free Guidance (CFG)=true2025.02303.7———81621.55———————————
MAR-HToken Type=Continuous Tokens, Train Tokens=262B, Infer Tokens=256, #Params=943M2026.02303.7———81621.55———————————
MAR-HTokenizer=Continuous, Params=943M, Steps=2562025.03303.7———81621.55———————2———
MAR-HArchitecture=MAR, Scale=H2026.03303.7—————1.55————————9.971—
MAR-HLiType=Bi-directional AR, #Para.=943M, Steps=2562025.04303.7———810.621.55———————————
MAREpochs=800, #Params=943M, Model Space=Latent Autoregressive, Guidance=w/ guidance2026.05303.7———8162———————1.55———0.53
JiT-H/16Type=Pixel, Epochs=600, Sampler=Heun, Steps=50, CFG=Enabled2026.02303.4———78621.86———————————
DeCo-XL/16Type=Pixel, Epochs=320, CFG=Enabled2026.02303———80611.9———————————
REPA-EEpochs=800, #Params=675M, Model Space=Latent Diffusion, Guidance=w/ guidance2026.05302.9———7966———————1.12———0.28
REPA-EEpochs=800, Params=675M, CFG=true2026.06302.9———7966—4.09—————1.12————
VAR-d20Params.=600M, Rejection sampling=false, Resolution=256x2562024.10302.6———83562.57———————————
VAR-d20Type=VAR, #Para.=600M2024.09302.6———83562.57———————————
VAR-d20Token Type=Discrete Tokens, Train Tokens=82M, Infer Tokens=256, #Params=600M2026.02302.6———83562.57———————————
VAR-d20Family=Masked & AR, Steps=10, #Params=600M2025.09302.6———83562.57———————————
VARType=Causal AR, #Para.=600M, Steps=102025.04302.6———830.562.57———————————
xAREpochs=800, #Params=1.1B, Model Space=Latent Autoregressive, Guidance=w/ guidance2026.05301.6———8364———————1.24———0.53
MAR-H + DMDArchitecture=MAR, Scale=H, Acceleration=DMD2026.03301—————1.73————————4.172.39—
FAR-HTokenizer=Continuous, Params=812M, Steps=102025.03300.6———81553.21———————2———
Heun-SolverNumber of Function Evaluations (NFE)=102026.01299.93———81562.965.61——————————
RAR-LToken Type=Discrete Tokens, Train Tokens=131M, Infer Tokens=256, #Params=461M2026.02299.5———81601.7———————————
RAR-LType=Causal AR, #Para.=461M, Steps=2562025.04299.5———810.61.7———————————
MAR-H + LazyMARArchitecture=MAR, Scale=H, Acceleration=LazyMAR2026.03299.2—————1.69————————4.242.35—
TransDiff-H + Drift-ARArchitecture=TransDiff, Scale=H, Acceleration=Drift-AR, NFE=12026.03298.1—————1.57————————1.335.06—
PixNerd-XL/16Type=Pixel, Epochs=320, CFG=Enabled2026.02298———80601.95———————————
TransDiff-HArchitecture=TransDiff, Scale=H2026.03297.9—————1.55————————6.721—