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Text-to-Image Generation on GenEval 1.0 (test)

95Overall ScoreSD3.5-M w/ Flow-GRPO
4356.57083.5Dec 8, 2025Jan 5, 2026Feb 2, 2026Mar 2, 2026Mar 30, 2026Apr 27, 2026May 25, 2026

Evaluation results

MethodLinks
SD3.5-M w/ Flow-GRPOModel Type=Diffusion, Optimization=Flow-GRPO2026.059510099959299—86————
SD3.5-M w/ RTDMDModel Type=Few-Step Diffusion, NFE=42026.059410098959087—94————
SD3.5-M w/ TDM-R1Model Type=Few-Step Diffusion, NFE=42026.059210096888593—91————
DeCo-XXL/16#Params=1.1B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.05861009272918079—————
RaPD#Params=1.1B, Resolution=512 x 5122026.0585999372937774—————
BLIP3-o 8BModel Type=Generation & Understanding, LLM prompt rewriter=false2026.0384———————————
GPT-4oModel Type=Generation & Understanding, LLM prompt rewriter=false2026.03849992859275—61————
GvUModel Type=Generation & Understanding, LLM prompt rewriter=true2026.038410097809368—65————
GPT-4oModel Type=Autoregressive2026.05849992859275—61————
DeCo-XXL/16re-run=true, #Params=1.1B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.0583999265917177—————
Self-Evaluating ModelSteps=50 Steps2025.1281.5198.7593.9470—70.25—6789.1———
BAGELModel Type=Generation & Understanding, LLM prompt rewriter=false2026.03819994808764—63————
GvUModel Type=Generation & Understanding, LLM prompt rewriter=false2026.038110096749261—58————
SANA-1.5 4.8BModel Type=Diffusion2026.05819993868459—65————
SANA-1.5Steps=50 Steps2025.1280.6298.4491.9270.31—59—71.7592.29———
Janus-ProModel Type=Generation & Understanding, LLM prompt rewriter=false2026.03809989599079—66————
UniWorld-V1Model Type=Generation & Understanding, LLM prompt rewriter=false2026.03809993798949—70————
OmniGen2Model Type=Generation & Understanding, LLM prompt rewriter=false2026.038010095648855—76————
Janus-Pro-7BModel Type=Autoregressive2026.05809989599079—66————
FLUX.1-DevSteps=50 Steps2025.1279.6697.8193.1875—65—5690.96———
PixelGen-XXL/16#Params=1.1B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.0579998859907070—————
PixelGen-XXL/16re-run=true, #Params=1.1B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.0579998858917067—————
Self-Evaluating ModelSteps=8 Steps2025.1278.4996.8891.4166.88—65.25—62.2588.3———
Self-Evaluating ModelSteps=4 Steps2025.1278.0696.8891.4162.19—66—62.589.36———
TiMSteps=50 Steps2025.1277.9796.5688.6463.44—55.5—7390.69———
SANA-1.5Steps=8 Steps2025.1277.8898.1288.6467.5—63—5892.02———
Self-Evaluating ModelSteps=2 Steps2025.1275.3198.1288.3860.94—63.25—5982.18———
Janus-Pro 1B + VA-πExt. Rwd=false, Backbone=Janus-Pro 1B2025.1274.498.883.55491.260—58.5————
SD3-mediumModel Type=Only Generation, LLM prompt rewriter=false2026.03749994728933—60————
XOmniModel Type=Generation & Understanding, LLM prompt rewriter=true2026.03749995699051—37————
SD3-Medium2026.0474999472—3360—89———
Janus-Pro (1B)Base Model=Janus-Pro (1B), Decoding=Autoregressive2025.127398.6283.2443.9288.6760.7349.81——14.4211
PixNerd-XXL/16#Params=1.2B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.0573978644837153—————
Janus-Pro 1BExt. Rwd=None, Backbone=Janus-Pro 1B2025.1272.597.280.153.190.260.5—54————
SD3.5-TurboSteps=4 Steps2025.1271.9493.4485.156.56—60.5—56.579.52———
TiMSteps=8 Steps2025.1271.4396.5682.3251.56—51.25—57.589.36———
Janus-Pro (1B) + SJDBase Model=Janus-Pro (1B), Decoding=Speculative Jacobi Decoding2025.127198.7882.9743.6188.1961.1249.95——7.991.81.95
SD3.5-largeModel Type=Only Generation, LLM prompt rewriter=false2026.03719889738334—47————
PixNerd-XXL/16re-run=true, #Params=1.2B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.0571988243816655—————
SD3.5-LModel Type=Diffusion2026.05719889738334—47————
SD3.5-TurboSteps=8 Steps2025.1270.7194.3782.3253.12—57.25—54.582.71———
Janus-Pro (1B) + SJD++Base Model=Janus-Pro (1B), Decoding=SJD with token reuse2025.1270.798.7582.8343.7588.36150——6.312.292.46
SD3.5-L-TurboModel Type=Few-Step Diffusion, NFE=42026.05709484557958—56————
TiMSteps=4 Steps2025.1268.6795.3176.0150.31—48—52.2590.16———
XOmniModel Type=Generation & Understanding, LLM prompt rewriter=false2026.036810094608540—26————
SD3#Params=8B, Model Type=Latent Diffusion Model, Resolution=512 x 5122026.0568988466744043—————
DALL-EModel Type=Only Generation, LLM prompt rewriter=false2026.03679687478343—45————
FLUX.1-devModel Type=Only Generation, LLM prompt rewriter=false2026.03679981797420—47————
DALL-E32026.0467968747—4345—83———
FLUX.1-dev#Params=12B, Model Type=Latent Diffusion Model, Resolution=512 x 5122026.0567998179742047—————
DALL-E 3Model Type=Latent Diffusion Model, Resolution=512 x 5122026.0567968747834345—————
DALLE-3Model Type=Diffusion2026.05679687478343—45————
FLUX.1 DevModel Type=Diffusion2026.05669881747922—45————
TiMSteps=2 Steps2025.1263.3894.6970.7141.88—42—43.7587.23———
PFT-1.2B + look-aheadSampling strategy=look-ahead2026.0463977341—3546—86———
JanusFlowModel Type=Autoregressive2026.05639759458353—42————
SD3.5-MModel Type=Diffusion2026.05639878508124—52————
SD3.5-TurboSteps=50 Steps2025.1261.1486.5674.4942.81—52.5—40.569.95———
IF-XLModel Type=Only Generation, LLM prompt rewriter=false2026.03619774668113—35————
JanusModel Type=Generation & Understanding, LLM prompt rewriter=false2026.03619768308446—42————
SD3.5-M w/ TDMModel Type=Few-Step Diffusion, NFE=42026.05619977497923—44————
PixelFlow-XL/4#Params=0.9B, Model Type=Pixel Diffusion Model, Resolution=512 x 5122026.0560———————————
SimpleAR (0.5B) + SJD++Base Model=SimpleAR (0.5B), Decoding=SJD with token reuse2025.1259.9498.7587.883082.982535——29.752.813.31
SimpleAR (0.5B)Base Model=SimpleAR (0.5B), Decoding=Autoregressive2025.1259.0698.3287.1229.8482.6125.4734.92——83.5511
PFT-1.2BSampling strategy=standard2026.0459946644—3245—76———
PFT-1.2B + dual-loopSampling strategy=dual-loop2026.0459946943—3640—70———
FLUX.1-DevSteps=8 Steps2025.1258.9388.4472.9846.25—51—21.7573.14———
SimpleAR (0.5B) + SJDBase Model=SimpleAR (0.5B), Decoding=Speculative Jacobi Decoding2025.1258.998.5687.4130.1182.4324.9334.75——42.731.962.34
LlamaGen (0.8B) + SJD++Base Model=LlamaGen (0.8B), Decoding=SJD with token reuse2025.1258.879873.0131.581.8521.5828.5——19.452.33.25
LlamaGen (0.8B)Base Model=LlamaGen (0.8B), Decoding=Autoregressive2025.1258.297.8272.5631.2581.421.6328.43——44.7311
LlamaGen (0.8B) + SJDBase Model=LlamaGen (0.8B), Decoding=Speculative Jacobi Decoding2025.1258.0597.972.7431.3781.6221.428.22——31.921.42.12
SANA-1.5Steps=4 Steps2025.1257.2592.1963.1351.25—42—25.2569.68———
SD XLModel Type=Only Generation, LLM prompt rewriter=false2026.03559874398515—23————
SDXL2026.0455987439—1523—85———
SD-XLModel Type=Diffusion2026.05559874398515—23————
Emu3Model Type=Generation & Understanding, LLM prompt rewriter=false2026.03549871348117—21————
Emu3-Gen2026.0454987134—1721—81———
Emu3-GenModel Type=Autoregressive2026.05549871348117—21————
Show-oModel Type=Generation & Understanding, LLM prompt rewriter=false2026.03539552498211—28————
Show-oModel Type=Autoregressive2026.05539552498211—28————
HyperAlignBackbone=SD v1.52026.015298664082924—————
DALL-E22026.0452946649—1019—77———
DALLE-2Model Type=Diffusion2026.05529466497710—19————
Lumina-mGPT (7B) + SJD++Base Model=Lumina-mGPT (7B), Decoding=SJD with token reuse2025.1251.2498.7562.6336.2579.791020——27.823.136.44
Emu3-Gen (8B) + SJD++Base Model=Emu3-Gen (8B), Decoding=SJD with token reuse2025.1250.9293.7555.5623.7581.911113——124.213.037.49
DyMOBackbone=SD v1.52026.015098605579514—————
SD v2.1Model Type=Only Generation, LLM prompt rewriter=false2026.0350985144857—17————
SDv2.12026.0450985144—717—85———
SD2.1Model Type=Diffusion2026.0550985144857—17————
ε-greedyBackbone=SD v1.52026.01489866387255—————
Lumina-mGPT (7B)Base Model=Lumina-mGPT (7B), Decoding=Autoregressive2025.124898.4161.8435.8179.2410.3719.36——87.1911
Emu3-Gen (8B)Base Model=Emu3-Gen (8B), Decoding=Autoregressive2025.124894.155.1823.4281.4511.3713.28——376.0111
Emu3-Gen (8B) + SJDBase Model=Emu3-Gen (8B), Decoding=Speculative Jacobi Decoding2025.124893.9655.3723.6181.6311.1513.19——207.271.812.01
PixArt-α2026.0448985044—87—0———
SDXL-TurboSteps=4 Steps2025.1247.6697.8140.445.62—11—1477.13———
Lumina-mGPT (7B) + SJDBase Model=Lumina-mGPT (7B), Decoding=Speculative Jacobi Decoding2025.124798.5662.1135.9479.429.8119.52——42.762.042.23
SDXL-TurboSteps=8 Steps2025.1246.5296.8837.6345.62—11—1375———
SDXL-TurboSteps=2 Steps2025.1246.2297.8133.0845.94—10.25—1575.27———
SDXLSteps=50 Steps2025.1246.0196.8842.1733.12—9.5—1381.38———
FreeDoMBackbone=SD v1.52026.01459549447967—————