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@@ -149,19 +149,19 @@ Images and their corresponding style semantic maps were resized to fit the input
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  - **Style Transfer Module**: AdaIN
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  **v3**
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- **Precision:** FP32, FP16, BF16, INT8
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- **Embedding Dimensions:** 768
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- **Hidden Dimensions:** 3072
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- **Attention Type:** Location-Based Multi-Head Attention (Linear Attention)
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- **Number of Attention Heads:** 42
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- **Number of Attention Layers:** 16
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- **Number of Transformer Encoder Layers (Feed-Forward):** 16
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- **Number of Transformer Decoder Layers (Feed-Forward):** 16
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- **Activation Functions:** ReLU, GeLU
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- **Patch Size:** 8
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- **Swin Window Size:** 7
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- **Swin Shift Size:** 2
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- **Style Transfer Module:** Style Adaptive Layer Normalization (SALN)
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  #### Speeds, Sizes, Times
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  - **Style Transfer Module**: AdaIN
150
 
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  **v3**
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+ - **Precision:** FP32, FP16, BF16, INT8
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+ - **Embedding Dimensions:** 768
154
+ - **Hidden Dimensions:** 3072
155
+ - **Attention Type:** Location-Based Multi-Head Attention (Linear Attention)
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+ - **Number of Attention Heads:** 42
157
+ - **Number of Attention Layers:** 16
158
+ - **Number of Transformer Encoder Layers (Feed-Forward):** 16
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+ - **Number of Transformer Decoder Layers (Feed-Forward):** 16
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+ - **Activation Functions:** ReLU, GeLU
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+ - **Patch Size:** 8
162
+ - **Swin Window Size:** 7
163
+ - **Swin Shift Size:** 2
164
+ - **Style Transfer Module:** Style Adaptive Layer Normalization (SALN)
165
 
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  #### Speeds, Sizes, Times
167