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Table 1.

Summary of dataset composition.

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Table 2.

Data cleaning and filtration statistics.

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Table 3.

Hierarchical annotation taxonomy.

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Table 4.

Data augmentation hyperparameters.

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Table 5.

Optimal training configuration for reproducibility.

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Table 6.

Learning rate settings.

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Table 7.

Performance of the SDXL model in design tasks.

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Table 8.

Comprehensive image quality assessment.

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Table 9.

Inference speed comparison of the SDXL model.

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