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Text-to-Image Generation on PartiPrompts (HPS/ImageReward Suite)

56CLIPScoreTuned-CFG+PG-MAP†
-1.92893613.11030728.1495543.188793Jun 18, 2025Aug 18, 2025Oct 19, 2025Dec 19, 2025Feb 19, 2026Apr 21, 2026Jun 22, 2026

Evaluation results

MethodLinks
Tuned-CFG+PG-MAP†Source=Ours, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.06566660.2—53.6——
Tuned-CFG+PG-MAP†Source=Ours, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.0652.864.656.5—51.3——
Tuned-CFG*Source=Compare, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.0652.152.756.4—47.2——
Reward-zSource=Ours, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.0651.354.254.9—57.4——
MAP-cSource=Ours, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.06515144.9—51.6——
UG*Source=Compare, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.0650.746.951.4—46.3——
PG-MAP† (default)Source=Ours, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.0650.652.854—56.8——
Baseline (reference)Source=-, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.06505050—50——
Baseline (reference)Source=-, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.06505050—50——
Tuned-CFG*Source=Compare, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.065058.552.4—48.2——
Reward-zSource=Ours, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.0649.747.956.7—55.4——
MAP-cz (λ=0, reward-free)Source=Ours, Backbone=Stable Diffusion 1.5, Sampling Steps=30, Sampling Algorithm=DDIM, CFG Scale=7.52026.0649.552.654.9—56.5——
MAP-cz (λ=0, reward-free)Source=Ours, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.0648.847.555.6—56.7——
MAP-cSource=Ours, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.0648.550.349.8—51.4——
PG-MAP† (default)Source=Ours, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.0648.147.156.2—56.4——
UG*Source=Compare, Backbone=SDXL, Sampling Steps=50, Sampling Algorithm=DDIM, CFG Scale=5.02026.0647.950.551.1—48.6——
TaylorSeerCaching=TaylorSeer, Setting=N = 5, O = 2, TMACs=357.39*, s/img (speedup)=7.20 (2.54x)*2025.0632.28——0.94———
ECADModel=FLUX.1-dev, Caching=Ours, Setting=fastest, TMACs=43.60, Latency (ms/img)=778.17 (3.37x)2025.0632.27——0.89———
ECADModel=FLUX.1-dev, Caching=Ours, Setting=fast, TMACs=63.02, Latency (ms/img)=1016.59 (2.58x)2025.0632.24——1.04———
ToCaCaching=ToCa, Setting=N = 4, R = 90%, TMACs=300.41*, s/img (speedup)=7.42 (2.47x)*2025.0632.05——1.09———
FORAModel=PixArt-α, Caching=FORA, Setting=N = 2, TMACs=2.87, Latency (ms/img)=100.57 (1.65x)2025.0632.03——0.91———
NoneModel=PixArt-α, Caching=None, TMACs=5.71, Latency (ms/img)=165.74 (1.00x)2025.0632.01——0.97———
NoneCaching=None, Setting=None, TMACs=1190.25, s/img (speedup)=18.30 (1.00x)2025.0631.98——1.14———
DiCacheModel=FLUX.1-dev, Caching=DiCache, TMACs=62.23, Latency (ms/img)=1161.86 (2.26x)2025.0631.97——0.97———
FORAModel=PixArt-α, Caching=FORA, Setting=N = 3, TMACs=2.02, Latency (ms/img)=82.55 (2.01x)2025.0631.94——0.83———
ECADModel=PixArt-α, Caching=Ours, Setting=fast, TMACs=2.13, Latency (ms/img)=84.09 (1.97x)2025.0631.94——0.99———
FORAModel=PixArt-Σ, Caching=FORA, Setting=N = 3, TMACs=2.02, Latency (ms/img)=82.12 (2.04x)2025.0631.91——0.81———
NoneModel=PixArt-Σ, Caching=None, TMACs=5.71, Latency (ms/img)=167.62 (1.00x)2025.0631.9——1.08———
NoneModel=FLUX.1-dev, Caching=None, TMACs=198.69, Latency (ms/img)=2620.09 (1.00x)2025.0631.88——1.04———
FORAModel=FLUX.1-dev, Caching=FORA, Setting=N = 3, TMACs=69.80, Latency (ms/img)=1073.70 (2.44x)2025.0631.88——0.93———
ECADCaching=Ours, Setting=fast 256→1024, TMACs=376.62, s/img (speedup)=6.96 (2.63x)2025.0631.88——1.05———
ECADModel=PixArt-Σ, Caching=Ours, Setting=fast, TMACs=1.91, Latency (ms/img)=84.84 (1.98x)2025.0631.86——1.02———
ECADCaching=Ours, Setting=slow 256→1024, TMACs=644.05, s/img (speedup)=10.59 (1.73x)2025.0631.82——1.05———
ToCaModel=FLUX.1-dev, Caching=ToCa, Setting=N = 4, R = 90%, TMACs=42.96*, Latency (ms/img)=1576.97 (1.66x)*2025.0631.81——0.93———
TGATEModel=PixArt-α, Caching=TGATE, Setting=m = 15, k = 1, TMACs=4.86, Latency (ms/img)=144.77 (1.14x)2025.0631.7——0.87———
DuCaModel=PixArt-α, Caching=DuCa, Setting=N = 3, R = 60%, TMACs=3.20, Latency (ms/img)=72.53 (2.29x)*2025.0631.53——0.79———
ECADModel=PixArt-α, Caching=Ours, Setting=fastest, TMACs=1.18, Latency (ms/img)=64.24 (2.58x)2025.0631.53——0.77———
ToCaModel=PixArt-α, Caching=ToCa, Setting=N = 3, R = 60%, TMACs=3.17*, Latency (ms/img)=90.71 (1.83x)*2025.0631.46——0.76———
ECADModel=PixArt-α, Caching=Ours, Setting=faster, TMACs=1.46, Latency (ms/img)=69.17 (2.40x)2025.0631.44——0.88———
DuCaModel=PixArt-α, Caching=DuCa, Setting=N = 3, R = 90%, TMACs=2.30, Latency (ms/img)=64.08 (2.59x)*2025.0631.42——0.74———
NoneCaching=None, Setting=40% steps, TMACs=476.10, s/img (speedup)=7.61 (2.41x)2025.0631.38——0.83———
ToCaModel=PixArt-α, Caching=ToCa, Setting=N = 3, R = 90%, TMACs=2.13*, Latency (ms/img)=70.58 (2.35x)*2025.0631.35——0.68———
FORACaching=FORA, Setting=N = 3, TMACs=416.88, s/img (speedup)=7.62 (2.40x)2025.0631.2——0.69———
TaylorSeerModel=FLUX.1-dev, Caching=TaylorSeer, Setting=N = 5, O = 2, TMACs=59.88*, Latency (ms/img)=1028.66 (2.55x)*2025.0631.16——0.54———
ToCaModel=PixArt-Σ, Caching=ToCa†, Setting=N = 3, R = 60%, TMACs=3.17*, Latency (ms/img)=94.28 (1.78x)*2025.0631.03——0.19———
ToCaModel=PixArt-Σ, Caching=ToCa†, Setting=N = 3, R = 90%, TMACs=2.13*, Latency (ms/img)=73.03 (2.30x)*2025.0630.89——0.14———
TaylorSeerModel=FLUX.1-dev, Caching=TaylorSeer, Setting=N = 6, O = 1, TMACs=49.97*, Latency (ms/img)=865.97 (3.03x)*2025.0629.88——0.02———
TGATEModel=PixArt-α, Caching=TGATE, Setting=m = 10, k = 5, TMACs=3.47, Latency (ms/img)=108.52 (1.53x)2025.0628.9——-0.27———
DTMHead Type=MLP, Head Size=mid, Head Seq scale=1, Head batch size=16, Weighting=πln(0, 1) × πln(0, 1), Sampling=linear2025.1227—5.470.6321.3——
DTM++Head Type=MLP, Head Size=mid, Head Seq scale=1, Head batch size=16, Weighting=πln(0, 1) × πln(0, 1), Sampling=c = 0.2, τ = 12025.1227—5.570.721.4——
MARHead Type=MLP, Head Size=mid, Head Seq scale=1, Head batch size=4, Weighting=U(0, 1), Sampling=linear2025.1227—4.950.3320.7——
MARSampling=argmax2025.1226.8—5.150.1420.7——
ARSampling=argmax2025.1226.7—4.81-0.0120.4——
DTMHead Type=MLP, Head Size=mid, Head Seq scale=1, Head batch size=4, Weighting=U(0, 1) × U(0, 1), Sampling=linear2025.1226.6—5.460.5121.2——
DTMHead Type=Transformer, Head Size=mid, Head Seq scale=4, Head batch size=16, Weighting=πln(0, 1) × πln(0, 1), Sampling=linear2025.1226.6—5.590.6221.4——
DTM+Head Type=Transformer, Head Size=mid, Head Seq scale=4, Head batch size=16, Weighting=πln(0, 1) × πln(0, 1), Sampling=c = 0.8, τ = 322025.1226.6—5.580.6321.4——
FMWeighting=πln(0, 1), Sampling=linear2025.1226.6—5.440.4821.2——
DTMHead Type=Transformer, Head Size=mid, Head Seq scale=1, Head batch size=4, Weighting=U(0, 1) × U(0, 1), Sampling=linear2025.1226.5—5.540.5121.3——
DTMHead Type=Convolution, Head Size=mid, Head Seq scale=1, Head batch size=4, Weighting=U(0, 1) × U(0, 1), Sampling=linear2025.1226.4—5.520.5121.3——
DTM (Dense)Head Type=Dense, Weighting=U(0, 1) × U(0, 1), Sampling=linear2025.1226.1—5.440.3621.2——
FMWeighting=U(0, 1), Sampling=linear2025.1226.1—5.330.3421.1——
ARHead Type=MLP, Head Size=mid, Head Seq scale=1, Head batch size=4, Weighting=U(0, 1), Sampling=linear2025.1224.9—4.5-0.4320.1——
ArenaPOBackbone=Stable Diffusion XL2026.050.36710.29065.90031.06720.2299——
DSPOBackbone=Stable Diffusion XL2026.050.36640.28715.69471.05140.2261——
Diffusion LAIRBase Model=SDXL, Samples per prompt=52026.050.3660.2925.8451.10422.765——
Diff.-DPOBase Model=SDXL, Samples per prompt=52026.050.3650.28945.8241.06622.693——
SDPOBackbone=Stable Diffusion XL2026.050.36450.29075.78821.06540.229——
Diff.-DPOBackbone=Stable Diffusion XL2026.050.36290.295.82941.06380.2279——
Pre-TrainedBackbone=Stable Diffusion XL2026.050.35910.2885.79010.85730.2277——
InPOBase Model=SDXL, Samples per prompt=52026.050.3590.29085.8721.04522.723——
MaPOBackbone=Stable Diffusion XL2026.050.3580.29025.89210.93240.2278——
SDXLBase Model=SDXL, Samples per prompt=52026.050.3560.28435.8090.77622.425——
SFTBackbone=Stable Diffusion XL2026.050.35590.28345.64960.75150.2221——
MaPOBase Model=SDXL, Samples per prompt=52026.050.3540.28615.9570.87322.399——
Diffusion LAIRBase Model=SD1.5, Samples per prompt=52026.050.34850.2865.6710.810721.992——
InPOBase Model=SD1.5, Samples per prompt=52026.050.34570.28425.6130.720321.735——
ArenaPOBackbone=Stable Diffusion 1.52026.050.34450.28335.61640.62910.2198——
SDPOBackbone=Stable Diffusion 1.52026.050.34230.28155.5880.54250.2187——
Diff.-DPOBackbone=Stable Diffusion 1.52026.050.33910.27555.40450.2560.2167——
Diff.-KTOBase Model=SD1.5, Samples per prompt=52026.050.3390.28255.5680.594121.55——
SFTBackbone=Stable Diffusion 1.52026.050.33890.28215.59810.5830.2181——
DSPOBackbone=Stable Diffusion 1.52026.050.33850.28195.59970.5640.2178——
DSPOBase Model=SD1.5, Samples per prompt=52026.050.33760.28135.6580.576321.521——
Diff.-DPOBase Model=SD1.5, Samples per prompt=52026.050.33730.27735.4450.353921.497——
MaPOBackbone=Stable Diffusion 1.52026.050.33660.27545.47540.33580.2152——
Pre-TrainedBackbone=Stable Diffusion 1.52026.050.33430.27245.34660.06370.2144——
SD1.5Base Model=SD1.5, Samples per prompt=52026.050.33220.27385.360.165321.243——
FLUX-1.DevSpeed (secs/image)=12, Inference steps=502026.020.3197——1.192———
DDiTSpeed (secs/image)=5.52026.020.3192——1.189———
DDiT + TeacacheSpeed (secs/image)=3.4, delta=0.42026.020.3172——1.062———
TaylorSeerSpeed (secs/image)=6, N=3, O=22026.020.3142——0.9813———
FLUX-1.DevSpeed (secs/image)=6.72, Inference steps=282026.020.3118——1.115———
FLUX-1.DevSpeed (secs/image)=3.6, Inference steps=152026.020.3072——0.9613———
TeaCacheSpeed (secs/image)=6, delta=0.62026.020.3018——0.9701———
TaylorSeerSpeed (secs/image)=3.5, N=6, O=12026.020.3004——0.9714———
TeaCacheSpeed (secs/image)=5.33, delta=0.82026.020.2991——0.9699———
CRAFTBase Model=SDXL2026.03—94.7381.580.7———
Diffusion-DPO2024.02—0.28155.77581.149522.27237.3698—
DSPOBase Model=SDXL2026.03—81.857.8473.47———
SAILBase Model=SD1.5, Iteration=02026.02——5.280.195121.48—26.94