Update README.md
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README.md
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@@ -18,8 +18,8 @@ Our Models consistently achieve state-of-the-art results on the sFID metrics com
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Our Models consistently has fewer parameters and GFLOPS compared to Transformer counterparts.
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Our code also support LogNorm and VAR(Various Aspect Ratio Training)
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| Model-iters | Resolution | Solver | NFE-CFG | FID | sFID | Params |
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| FlowDCN-S-400k | 256x256 | EulerSDE-250 | 250x2 | 54.6 | 8.8 | 30.3M |
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| FlowDCN-B-400k | 256x256 | EulerSDE-250 | 250x2 | 28.5 | 6.09 | 120M |
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| VAR-FlowDCN-B-400k | 256x256 | EulerSDE-250 | 250x2 | 23.6 | 7.72 | 120M |
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Our Models consistently has fewer parameters and GFLOPS compared to Transformer counterparts.
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Our code also support LogNorm and VAR(Various Aspect Ratio Training)
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| Model-iters | Resolution | Solver | NFE-CFG | FID | sFID | Params |
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|:------------------:|:----------:|:---------------:|:-------:|:----:|:----:|:------:|
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| FlowDCN-S-400k | 256x256 | EulerSDE-250 | 250x2 | 54.6 | 8.8 | 30.3M |
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| FlowDCN-B-400k | 256x256 | EulerSDE-250 | 250x2 | 28.5 | 6.09 | 120M |
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| VAR-FlowDCN-B-400k | 256x256 | EulerSDE-250 | 250x2 | 23.6 | 7.72 | 120M |
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