Class-conditional generation on ImageNet 256 x 256 1k (val)
1.13FIDDiTDH-XL + RAE
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DiTDH-XL + RAE# Params=839M, NFE=50×2, CFG=true2025.12 | 1.13 | — | — | 262.6 | — | — | |
| xAR-H# Params=1.1B, NFE=⋆, CFG=true2025.12 | 1.24 | — | — | 301.6 | — | — | |
| DDT-XL/2# Params=675M, NFE=250×2, CFG=true2025.12 | 1.26 | — | — | 310.6 | — | — | |
| DDT-XL/2NFE=250x2, #Params=675M, #Epochs=4002026.02 | 1.26 | — | — | — | — | — | |
| LightningDiT-XL/1# Params=675M, NFE=250×2, CFG=true2025.12 | 1.35 | — | — | 295.3 | — | — | |
| Light.DiTNFE=250x2, #Params=675M, #Epochs=8002026.02 | 1.35 | — | — | — | — | — | |
| SiT-XL/2 + REPA# Params=675M, NFE=250×2, CFG=true2025.12 | 1.42 | — | — | 305.7 | — | — | |
| REPA-XL/2NFE=250x2, #Params=675M, #Epochs=8002026.02 | 1.42 | — | — | — | — | — | |
| RAR-XXL# Params=1.5B, NFE=⋆, CFG=true2025.12 | 1.48 | — | — | 326 | — | — | |
| RAR-XXLTokenizer=VQ, Model Type=Raster-scan AR, # Params=1.5B2025.11 | 1.48 | — | — | 326 | 80 | 63 | |
| RAR-XLTokenizer=VQ, Model Type=Raster-scan AR, # Params=955M2025.11 | 1.5 | — | — | 306.9 | 80 | 62 | |
| MAR-H# Params=943M, NFE=⋆, CFG=true2025.12 | 1.55 | — | — | 303.7 | — | — | |
| MAR-HTokenizer=VAE, Model Type=Bidirectional AR, # Params=943M2025.11 | 1.55 | — | — | 303.7 | 81 | 62 | |
| STAR-XXLTokenizer=VQ, Model Type=Randomized AR, # Params=1.5B2025.11 | 1.55 | — | — | 338.8 | 81 | 62 | |
| STAR-XLTokenizer=VQ, Model Type=Randomized AR, # Params=955M2025.11 | 1.65 | — | — | 333.2 | 80 | 62 | |
| RAR-LTokenizer=VQ, Model Type=Raster-scan AR, # Params=461M2025.11 | 1.7 | — | — | 299.5 | 81 | 60 | |
| iMF-XL/2# Params=610M, NFE=1, CFG=true2025.12 | 1.72 | — | — | 282 | — | — | |
| VAR-r30-reNFE=10x2, #Params=2.0B, #Epochs=3502026.02 | 1.73 | — | — | — | — | — | |
| FACM-XL/2# Params=675M, NFE=1, CFG=true2025.12 | 1.76 | — | — | 290 | — | — | |
| MAR-LTokenizer=VAE, Model Type=Bidirectional AR, # Params=479M2025.11 | 1.78 | — | — | 296 | 81 | 60 | |
| DUMO-XL/2 (longer training)NFE=2, #Params=679M, #Epochs=4322026.02 | 1.79 | — | — | — | — | — | |
| JiT-G/16# Params=2B, NFE=100×2, CFG=true2025.12 | 1.82 | — | — | 292.6 | — | — | |
| UCGM⊕DDT-XL/2NFE=2, #Params=675M, #Epochs=4012026.02 | 1.9 | — | — | — | — | — | |
| VAR-d30# Params=2.0B, NFE=⋆, CFG=true2025.12 | 1.92 | — | — | 323.1 | — | — | |
| VAR-d30Tokenizer=VQ, Model Type=Block-wise AR, # Params=2.0B2025.11 | 1.92 | — | — | 323.1 | 82 | 59 | |
| UCGM-XL/2NFE=2, #Params=675M, #Epochs=4242026.02 | 1.94 | — | — | — | — | — | |
| REPA SiT-XL/2 + VeCoRw=1.85, sigma_low=0.0, sigma_high=0.652025.11 | 1.94 | — | 4.45 | — | — | — | |
| UCGM⊕REPA-XL/2NFE=2, #Params=675M, #Epochs=8012026.02 | 1.95 | — | — | — | — | — | |
| RAR-BTokenizer=VQ, Model Type=Raster-scan AR, # Params=261M2025.11 | 1.95 | — | — | 290.5 | 82 | 58 | |
| REPA-XL/2NFE=250x2, #Params=675M, #Epochs=2002026.02 | 1.96 | — | — | — | — | — | |
| REPA SiT-XL/2 + ΔFMw=1.85, sigma_low=0.0, sigma_high=0.652025.11 | 1.97 | — | 4.49 | — | — | — | |
| STAR-LTokenizer=VQ, Model Type=Randomized AR, # Params=461M2025.11 | 1.98 | — | — | 322 | 82 | 58 | |
| SiT-XL/2# Params=675M, NFE=250×2, CFG=true2025.12 | 2.06 | — | — | 252.2 | — | — | |
| SiT-XL/2NFE=250x2, #Params=675M, #Epochs=14002026.02 | 2.06 | — | — | — | — | — | |
| UCGM⊕Light.DiTNFE=2, #Params=675M, #Epochs=8012026.02 | 2.06 | — | — | — | — | — | |
| SiT-XL/2#Parameters=675M2025.10 | 2.06 | — | — | — | — | — | |
| REPA SiT-XL/2w=1.75, sigma_low=0.0, sigma_high=0.752025.11 | 2.09 | — | 5.55 | — | — | — | |
| VAR-d24Tokenizer=VQ, Model Type=Block-wise AR, # Params=1.0B2025.11 | 2.09 | — | — | 312.9 | 82 | 59 | |
| UCGM-XL/2NFE=1, #Params=675M, #Epochs=4242026.02 | 2.1 | — | — | — | — | — | |
| Light.DiTNFE=250x2, #Params=675M, #Epochs=642026.02 | 2.11 | — | — | — | — | — | |
| RCG, conditional# Params=512M, NFE=⋆, CFG=true2025.12 | 2.12 | — | — | 267.7 | — | — | |
| RandAR-XXLTokenizer=VQ, Model Type=Randomized AR, # Params=1.4B2025.11 | 2.15 | — | — | 322 | 79 | 62 | |
| DMF-XL/2+# Params=675M, NFE=1, CFG=true2025.12 | 2.16 | — | — | — | — | — | |
| MeanFlow-XL/2 (longer training)NFE=2, #Params=676M, #Epochs=10002026.02 | 2.2 | — | — | — | — | — | |
| STAR-BTokenizer=VQ, Model Type=Randomized AR, # Params=261M2025.11 | 2.24 | — | — | 295.3 | 82 | 57 | |
| RandAR-XLTokenizer=VQ, Model Type=Randomized AR, # Params=775M2025.11 | 2.25 | — | — | 314.2 | 80 | 60 | |
| DiT-XL/2# Params=675M, NFE=250×2, CFG=true2025.12 | 2.27 | — | — | 278.2 | — | — | |
| DiT-XL/2NFE=250x2, #Params=675M, #Epochs=14002026.02 | 2.27 | — | — | — | — | — | |
| DiT-XL/2#Parameters=675M2025.10 | 2.27 | — | — | — | — | — | |
| DiT-XL/2Tokenizer=VAE, Model Type=Diffusion, # Params=675M2025.11 | 2.27 | — | — | 278.2 | 83 | 57 | |
| U-ViT-H/2NFE=50x2, #Params=501M, #Epochs=4002026.02 | 2.29 | — | — | — | — | — | |
| UViT-XL/2Tokenizer=VAE, Model Type=Diffusion, # Params=501M2025.11 | 2.29 | — | — | 263.9 | 82 | 57 | |
| StyleGAN-XL# Params=166M, NFE=1, CFG=true2025.12 | 2.3 | — | — | 265.1 | — | — | |
| MAR-BTokenizer=VAE, Model Type=Bidirectional AR, # Params=208M2025.11 | 2.31 | — | — | 281.7 | 82 | 57 | |
| BiFlow-B/2# Params=133M, NFE=1, CFG=true2025.12 | 2.39 | — | — | 303 | — | — | |
| STARFlow-XL/1# Params=1.4B, NFE=⋆, CFG=true2025.12 | 2.4 | — | — | — | — | — | |
| Open-MAGVIT2-L#Parameters=804M2025.10 | 2.51 | — | — | — | — | — | |
| RandAR-LTokenizer=VQ, Model Type=Randomized AR, # Params=343M2025.11 | 2.55 | — | — | 288.8 | 81 | 58 | |
| VAR-d20Tokenizer=VQ, Model Type=Block-wise AR, # Params=600M2025.11 | 2.57 | — | — | 302.6 | 83 | 56 | |
| α-Flow-XL/2+# Params=676M, NFE=1, CFG=true2025.12 | 2.58 | — | — | — | — | — | |
| DUMO-XL/2 (longer training)NFE=1, #Params=679M, #Epochs=4322026.02 | 2.6 | — | — | — | — | — | |
| DUMO-XL/2NFE=2, #Params=679M, #Epochs=2402026.02 | 2.82 | — | — | — | — | — | |
| π-Flow-XL/2# Params=675M, NFE=1, CFG=true2025.12 | 2.85 | — | — | — | — | — | |
| π-Flow⊕REPA-XL/2NFE=1, #Params=675M, #Epochs=4482026.02 | 2.85 | — | — | — | — | — | |
| MeanFlow-XL/2NFE=2, #Params=676M, #Epochs=2402026.02 | 2.93 | — | — | — | — | — | |
| ViT-VQGAN#Parameters=1.7B2025.10 | 3.04 | — | — | — | — | — | |
| LlamaGen-3BTokenizer=VQ, Model Type=Raster-scan AR, # Params=3.0B2025.11 | 3.05 | — | — | 222.3 | 80 | 58 | |
| DUMO-XL/2NFE=1, #Params=679M, #Epochs=2402026.02 | 3.07 | — | — | — | — | — | |
| LlamaGen-XXLTokenizer=VQ, Model Type=Raster-scan AR, # Params=1.4B2025.11 | 3.09 | — | — | 253.6 | 83 | 53 | |
| TiM-XL/2# Params=664M, NFE=1, CFG=true2025.12 | 3.26 | — | — | 210.3 | — | — | |
| VAR-d16Tokenizer=VQ, Model Type=Block-wise AR, # Params=310M2025.11 | 3.3 | — | — | 274.4 | 84 | 51 | |
| π-FlowNFE=1, #Params=675M, #Epochs=4482026.02 | 3.34 | — | — | — | — | — | |
| LlamaGen-XL#Parameters=775M2025.10 | 3.39 | — | — | — | — | — | |
| LlamaGen-XLTokenizer=VQ, Model Type=Raster-scan AR, # Params=804M2025.11 | 3.39 | — | — | 227.1 | 81 | 54 | |
| UViT-L/2Tokenizer=VAE, Model Type=Diffusion, # Params=287M2025.11 | 3.4 | — | — | 219.9 | 83 | 52 | |
| MeanFlow-XL/2# Params=676M, NFE=1, CFG=true2025.12 | 3.43 | — | — | 247.5 | — | — | |
| MeanFlow-XL/2NFE=1, #Params=676M, #Epochs=2402026.02 | 3.43 | — | — | — | — | — | |
| GigaGAN# Params=569M, NFE=1, CFG=true2025.12 | 3.45 | — | — | 225.5 | — | — | |
| GigaGANNFE=1, #Params=569M2026.02 | 3.45 | — | — | — | — | — | |
| LDM-4-G# Params=400M, NFE=250×2, CFG=true2025.12 | 3.6 | — | — | 247.7 | — | — | |
| LDM-4#Parameters=400M2025.10 | 3.6 | — | — | — | — | — | |
| RQTransformer#Parameters=3.8B2025.10 | 3.8 | — | — | — | — | — | |
| LlamaGen-LTokenizer=VQ, Model Type=Raster-scan AR, # Params=343M2025.11 | 3.8 | — | — | 248.3 | 83 | 51 | |
| Purrception#Parameters=750M, τ=0.9, cfg=1.3, Tokenizer=vq-ds8-c2i, ODE solver=Euler, Integration steps=2502025.10 | 3.88 | — | — | — | — | — | |
| IMM-XL/2 (ω = 1.5)NFE=2x2, #Params=675M, #Epochs=38402026.02 | 3.99 | — | — | — | — | — | |
| iTARFlow-XL/2# Params=690M, NFE=⋆, CFG=true2025.12 | 4.54 | — | — | 259.3 | — | — | |
| ADM-G# Params=554M, NFE=250×2, CFG=true2025.12 | 4.59 | — | — | — | — | — | |
| ADM-GNFE=250x2, #Params=559M, #Epochs=3962026.02 | 4.59 | — | — | — | — | — | |
| iTARFlow-L/2# Params=448M, NFE=⋆, CFG=true2025.12 | 4.82 | — | — | 254.8 | — | — | |
| CDM2025.10 | 4.88 | — | — | — | — | — | |
| DiT-L/2Tokenizer=VAE, Model Type=Diffusion, # Params=458M2025.11 | 5.02 | — | — | 167.2 | 75 | 57 | |
| VQGAN#Parameters=1.4B2025.10 | 5.2 | — | — | — | — | — | |
| iTARFlow-M/2# Params=296M, NFE=⋆, CFG=true2025.12 | 5.22 | — | — | 255.5 | — | — | |
| Implicit Timestep Model#Parameters=546M2025.10 | 5.3 | — | — | — | — | — | |
| IMM-XL/2NFE=2x2, #Params=675M, #Epochs=38402026.02 | 5.33 | — | — | — | — | — | |
| TARFlow-XL/8@pix# Params=1.3B, NFE=⋆, CFG=true2025.12 | 5.56 | — | — | — | — | — | |
| VQ-Diffusion2025.10 | 5.84 | — | — | — | — | — | |
| MaskGIT# Params=227M, NFE=⋆, CFG=true2025.12 | 6.18 | — | — | 182.1 | — | — | |
| MaskGITNFE=8, #Params=227M, #Epochs=3002026.02 | 6.18 | — | — | — | — | — | |
| MaskGIT#Parameters=227M2025.10 | 6.18 | — | — | — | — | — |