diff --git "a/unet/openvino_model.xml" "b/unet/openvino_model.xml"
--- "a/unet/openvino_model.xml"
+++ "b/unet/openvino_model.xml"
@@ -39,77 +39,76 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_502792_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="4" name="self.model.conv_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 4, 3, 3" offset="0" size="23040" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.conv_in.weight">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5" name="Constant_502792" type="Convert" version="opset1">
+		<layer id="5" name="self.model.conv_in.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="6" name="Constant_502787_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_502787" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="6" name="__module.model.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Constant_502771_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="7" name="__module.model.conv_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="23040" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Constant_502771" type="Convert" version="opset1">
+		<layer id="8" name="__module.model.conv_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -117,6 +116,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -124,172 +124,198 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_502766_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="11" name="Constant_502766" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="9" name="__module.model.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="100,input.3">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Constant_502750_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="10" name="self.model.down_blocks.0.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320" offset="23680" size="640" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.down_blocks.0.resnets.0.norm1.weight">
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Constant_502750" type="Convert" version="opset1">
+		<layer id="11" name="self.model.down_blocks.0.resnets.0.norm1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="Constant_502745_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="12" name="self.model.down_blocks.0.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320" offset="24320" size="640" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.down_blocks.0.resnets.0.norm1.bias">
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="Constant_502745" type="Convert" version="opset1">
+		<layer id="13" name="self.model.down_blocks.0.resnets.0.norm1.bias" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
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+					<dim>320</dim>
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 		</layer>
-		<layer id="16" name="Constant_502729_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="14" name="__module.model.down_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999997473787516e-06" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
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+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
+					<dim>320</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>320</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="118,input.5">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="Constant_502729" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="15" name="__module.model.conv_act/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" names="119">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="Constant_502724_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="16" name="self.model.down_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 3, 3" offset="24960" size="1843200" />
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP16" names="self.model.down_blocks.0.resnets.0.conv1.weight">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="Constant_502724" type="Convert" version="opset1">
+		<layer id="17" name="self.model.down_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.model.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Constant_502708_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="19" name="__module.model.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1868160" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="Constant_502708" type="Convert" version="opset1">
+		<layer id="20" name="__module.model.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -297,6 +323,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -304,112 +331,151 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="22" name="Constant_502703_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16">
+		<layer id="21" name="__module.model.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="126,hidden_states.1">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="22" name="ShapeOf_79708" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="Constant_502687_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="23" name="Constant_79709" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="1868800" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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 			<output>
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-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="Constant_502687" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="24" name="Constant_79710" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868800" size="8" />
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="precise" version="0" />
 			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="25" name="Gather_79711" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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-					<dim>1</dim>
+				<port id="3" precision="I64" names="1091,1289,1590,2016,2224,239,2432,2664,2872,3080,3310,3434,3437,3474,3518,3726,437,56,665,863">
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.model/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="58,63,timesteps">
+					<dim>-1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="26" name="Constant_502682_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="27" name="30" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868808" size="8" />
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+		<layer id="29" name="__module.model.time_proj/aten::to/Convert" type="Convert" version="opset1">
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+		<layer id="30" name="__module.model.time_proj/aten::slice/Slice_1_compressed" type="Const" version="opset1">
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@@ -417,299 +483,330 @@
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+		<layer id="57" name="self.model.time_embedding.linear_2.weight_compressed" type="Const" version="opset1">
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 		</layer>
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+		<layer id="59" name="__module.model.time_embedding.linear_2/aten::linear/MatMul" type="MatMul" version="opset1">
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+		<layer id="63" name="__module.model.conv_act/aten::silu/Swish_2" type="Swish" version="opset4">
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+		<layer id="67" name="Constant_77211_compressed" type="Const" version="opset1">
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@@ -867,150 +1026,209 @@
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+		<layer id="70" name="14" type="Const" version="opset1">
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+			<output>
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+		<layer id="71" name="__module.model.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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@@ -1026,24 +1244,24 @@
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@@ -1057,8 +1275,8 @@
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@@ -1068,7 +1286,7 @@
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 					<dim>320</dim>
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@@ -1115,19 +1333,8 @@
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-			<data special_zero="true" />
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@@ -1135,76 +1342,88 @@
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+				<port id="2" precision="FP32" names="148,149,hidden_states.5">
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="88" name="self.model.down_blocks.0.attentions.0.norm.weight_compressed" type="Const" version="opset1">
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 			<output>
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+			<data destination_type="f32" />
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+		<layer id="90" name="self.model.down_blocks.0.attentions.0.norm.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320" offset="8799728" size="640" />
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+					<dim>320</dim>
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+		</layer>
+		<layer id="91" name="self.model.down_blocks.0.attentions.0.norm.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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-			<data special_zero="true" />
+		<layer id="92" name="__module.model.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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@@ -1212,25 +1431,25 @@
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="23698" size="640" />
+		<layer id="93" name="self.model.down_blocks.0.attentions.0.proj_in.weight_compressed" type="Const" version="opset1">
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 		</layer>
-		<layer id="81" name="Constant_502430" type="Convert" version="opset1">
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@@ -1238,15 +1457,15 @@
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-			<data auto_broadcast="numpy" />
+		<layer id="95" name="__module.model.down_blocks.0.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
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@@ -1255,7 +1474,7 @@
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@@ -1270,8 +1489,8 @@
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 				<port id="0" precision="FP16">
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@@ -1281,7 +1500,7 @@
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 			</output>
 		</layer>
-		<layer id="84" name="Constant_502431" type="Convert" version="opset1">
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@@ -1303,7 +1522,7 @@
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@@ -1320,7 +1539,7 @@
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 			<output>
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 					<dim>320</dim>
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@@ -1328,7 +1547,15 @@
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 			</output>
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-		<layer id="86" name="__module.model.conv_act/aten::silu/Swish" type="Swish" version="opset4">
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+			<data element_type="i64" shape="4" offset="9005808" size="32" />
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+		<layer id="100" name="__module.model.down_blocks.0.attentions.0/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
 				</port>
+				<port id="1" precision="I64">
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+			<data element_type="i64" shape="3" offset="9005840" size="24" />
 			<rt_info>
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@@ -3334,66 +3538,74 @@
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@@ -3403,309 +3615,316 @@
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@@ -4412,216 +4729,241 @@
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@@ -5105,13 +5902,13 @@
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@@ -5126,8 +5923,8 @@
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 		</layer>
-		<layer id="340" name="Constant_502443" type="Convert" version="opset1">
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@@ -5156,7 +5953,7 @@
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@@ -5228,8 +6025,8 @@
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 			<data destination_type="f32" />
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@@ -5258,7 +6055,7 @@
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@@ -5280,8 +6077,8 @@
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 		</layer>
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 			<data destination_type="f32" />
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@@ -5310,7 +6107,7 @@
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 				<port id="0" precision="FP16">
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@@ -5368,498 +6165,434 @@
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@@ -5869,29 +6602,23 @@
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@@ -6045,6 +6745,7 @@
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@@ -6052,302 +6753,327 @@
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@@ -7218,797 +7980,595 @@
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@@ -11477,745 +11695,660 @@
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@@ -15870,238 +16018,116 @@
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@@ -16659,6 +16870,7 @@
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@@ -16666,1053 +16878,922 @@
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@@ -19082,556 +19124,592 @@
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+		<layer id="1254" name="__module.model.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
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@@ -20809,24 +20770,24 @@
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+		<layer id="1255" name="__module.model.mid_block.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -20834,7 +20795,7 @@
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@@ -20842,65 +20803,65 @@
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+		<layer id="1258" name="self.model.mid_block.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
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 		</layer>
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 		</layer>
-		<layer id="1371" name="__module.model.down_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1260" name="__module.model.mid_block.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -20908,27 +20869,27 @@
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+		<layer id="1261" name="Constant_77279_compressed" type="Const" version="opset1">
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@@ -20936,261 +20897,255 @@
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 		</layer>
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+		<layer id="1263" name="__module.model.mid_block.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
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@@ -21206,1618 +21161,1738 @@
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@@ -23326,1460 +23407,1629 @@
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@@ -24794,1010 +25045,1031 @@
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@@ -26628,7 +26866,7 @@
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@@ -26636,132 +26874,93 @@
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-			<data element_type="f16" shape="640, 640, 3, 3" offset="91601274" size="7372800" />
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+					<dim>1280</dim>
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 		</layer>
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+		<layer id="1612" name="self.model.up_blocks.1.resnets.0.time_emb_proj.weight" type="Convert" version="opset1">
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+		<layer id="1613" name="__module.model.up_blocks.1.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="98974074" size="1280" />
+		<layer id="1614" name="Constant_77294_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="1090901276" size="2560" />
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-		<layer id="1759" name="__module.model.down_blocks.1.downsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="1615" name="Constant_77294" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -26769,96 +26968,87 @@
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 		</layer>
-		<layer id="1760" name="__module.model.down_blocks.1.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1616" name="__module.model.up_blocks.1.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
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 		</layer>
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-			<data element_type="f16" shape="1280, 640, 1, 1" offset="98975354" size="1638400" />
+		<layer id="1617" name="__module.model.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1280</dim>
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+				<port id="1" precision="I64" />
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+				<port id="2" precision="FP32" names="1903">
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 			</output>
 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="1618" name="__module.model.up_blocks.1.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+				<port id="1" precision="I64" />
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 			<output>
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+				<port id="2" precision="FP32" names="1904,temb.27">
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 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="1619" name="__module.model.up_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
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 			<input>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
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 					<dim>1280</dim>
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@@ -26866,41 +27056,56 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="100613754" size="2560" />
+		<layer id="1620" name="self.model.up_blocks.1.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280" offset="1090903836" size="2560" />
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+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.0.norm2.weight">
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1621" name="self.model.up_blocks.1.resnets.0.norm2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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 					<dim>1280</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1622" name="self.model.up_blocks.1.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280" offset="1090906396" size="2560" />
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+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.0.norm2.bias">
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="1765" name="__module.model.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="1623" name="self.model.up_blocks.1.resnets.0.norm2.bias" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1624" name="__module.model.up_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999997473787516e-06" />
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 				<port id="0" precision="FP32">
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@@ -26909,14 +27114,14 @@
 					<dim>-1</dim>
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+				</port>
+				<port id="2" precision="FP32">
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 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="1908,input.183">
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 					<dim>1280</dim>
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@@ -26924,173 +27129,94 @@
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 		</layer>
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+		<layer id="1625" name="__module.model.conv_act/aten::silu/Swish_42" type="Swish" version="opset4">
 			<input>
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-				<port id="0" precision="FP32">
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 			<output>
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+		<layer id="1626" name="self.model.up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280, 3, 3" offset="1090908956" size="29491200" />
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+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.0.conv2.weight">
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+					<dim>1280</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 		</layer>
-		<layer id="1774" name="Constant_502516" type="Convert" version="opset1">
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+					<dim>3</dim>
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+		<layer id="1628" name="__module.model.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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+					<dim>3</dim>
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 			<output>
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+		<layer id="1629" name="__module.model.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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+					<dim>1280</dim>
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-		<layer id="1777" name="Constant_502517" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -27098,7 +27224,7 @@
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@@ -27106,67 +27232,71 @@
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@@ -27174,80 +27304,40 @@
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-			<data auto_broadcast="numpy" />
+		<layer id="1637" name="__module.model.up_blocks.1.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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@@ -27256,14 +27346,14 @@
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@@ -27271,16 +27361,18 @@
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@@ -27289,44 +27381,56 @@
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-		<layer id="1790" name="Constant_502518" type="Convert" version="opset1">
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@@ -27335,70 +27439,53 @@
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@@ -27406,69 +27493,66 @@
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@@ -28363,8 +28239,8 @@
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@@ -28373,7 +28249,7 @@
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@@ -28393,7 +28269,7 @@
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@@ -28415,8 +28291,8 @@
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@@ -28425,7 +28301,7 @@
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@@ -28445,7 +28321,7 @@
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@@ -28494,7 +28370,7 @@
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+					<dim>-1</dim>
+					<dim>768</dim>
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+				<port id="1" precision="FP32">
+					<dim>1280</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="2022,value.31">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1713" name="Constant_80204" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154711756" size="32" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
 					<dim>4</dim>
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 		</layer>
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-			<data special_zero="false" />
+		<layer id="1714" name="__module.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::view/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -28724,7 +28622,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1613,tensor.179">
+				<port id="2" precision="FP32" names="2036">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>8</dim>
@@ -28732,15 +28630,15 @@
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 			</output>
 		</layer>
-		<layer id="1877" name="Constant_76141" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="9212018" size="32" />
+		<layer id="1715" name="__module.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Constant_2" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="9211980" size="16" />
 			<output>
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 		</layer>
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+		<layer id="1716" name="__module.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_2" type="Transpose" version="opset1">
 			<input>
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@@ -28748,12 +28646,12 @@
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 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 			<output>
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+				<port id="2" precision="FP32" names="2037">
 					<dim>-1</dim>
 					<dim>8</dim>
 					<dim>-1</dim>
@@ -28761,67 +28659,84 @@
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1717" name="__module.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
+			<data causal="false" />
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-			<rt_info>
-				<attribute name="precise" version="0" />
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>8</dim>
+					<dim>-1</dim>
+					<dim>160</dim>
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+				<port id="3" precision="FP32" names="2038,hidden_states.303">
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 			<output>
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 		</layer>
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-			<data axis="0" />
+		<layer id="1719" name="__module.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::transpose/Transpose_3" type="Transpose" version="opset1">
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+				<port id="2" precision="FP32" names="2039">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
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+			</output>
+		</layer>
+		<layer id="1720" name="Constant_80205" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="161265388" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+			<output>
+				<port id="0" precision="I64">
 					<dim>3</dim>
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 			</output>
 		</layer>
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-			<data special_zero="false" />
+		<layer id="1721" name="__module.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2/aten::reshape/Reshape" type="Reshape" version="opset1">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 					<dim>160</dim>
 				</port>
 				<port id="1" precision="I64">
@@ -28829,23 +28744,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="1623,query.17">
+				<port id="2" precision="FP32" names="2043,2044,hidden_states.305">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>160</dim>
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 		</layer>
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+		<layer id="1722" name="self.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1144016156" size="3276800" />
 			<output>
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 					<dim>1280</dim>
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 		</layer>
-		<layer id="1885" name="self.model.down_blocks.2.attentions.0.transformer_blocks.0.attn1.to_k.weight" type="Convert" version="opset1">
+		<layer id="1723" name="self.model.up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -28863,7 +28778,7 @@
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 		</layer>
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@@ -28877,345 +28792,178 @@
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-				<port id="1" precision="I64">
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@@ -29224,308 +28972,336 @@
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@@ -29533,188 +29309,166 @@
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@@ -29724,43 +29478,23 @@
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@@ -29773,461 +29507,428 @@
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@@ -30858,326 +30508,255 @@
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-			<data element_type="i32" shape="" offset="1868826" size="4" />
+		<layer id="1829" name="__module.model.up_blocks.1.attentions.1.proj_in/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+		<layer id="1833" name="Constant_80206" type="Const" version="opset1">
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+		<layer id="1838" name="Constant_77306" type="Convert" version="opset1">
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@@ -31186,308 +30765,267 @@
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+		<layer id="1843" name="self.model.up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight_compressed" type="Const" version="opset1">
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@@ -32164,13 +31244,13 @@
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@@ -32185,8 +31265,8 @@
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-		<layer id="2118" name="Constant_502532" type="Convert" version="opset1">
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@@ -32215,7 +31295,7 @@
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@@ -32252,22 +31332,22 @@
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@@ -32287,8 +31367,8 @@
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+		<layer id="1878" name="Constant_77309_compressed" type="Const" version="opset1">
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-		<layer id="2124" name="Constant_502533" type="Convert" version="opset1">
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@@ -32317,7 +31397,7 @@
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+		<layer id="1880" name="__module.model.up_blocks.1.attentions.1.transformer_blocks.0.norm2/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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@@ -32339,8 +31419,8 @@
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-			<data element_type="f16" shape="1, 1, 1280" offset="175040652" size="2560" />
+		<layer id="1881" name="Constant_77310_compressed" type="Const" version="opset1">
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@@ -32349,7 +31429,7 @@
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 		</layer>
-		<layer id="2127" name="Constant_502534" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -32369,7 +31449,7 @@
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@@ -32384,41 +31464,41 @@
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@@ -32427,294 +31507,388 @@
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+			<data special_zero="false" />
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+					<dim>-1</dim>
+					<dim>8</dim>
+					<dim>160</dim>
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+		<layer id="1888" name="__module.model.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Constant" type="Const" version="opset1">
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+		<layer id="1889" name="__module.model.up_blocks.1.attentions.1.transformer_blocks.0.attn2/aten::transpose/Transpose" type="Transpose" version="opset1">
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="I32">
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-		<layer id="2133" name="Constant_502535" type="Convert" version="opset1">
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+			<data destination_type="f32" />
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 				<port id="0" precision="FP32">
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+			<data element_type="i64" shape="3" offset="161265388" size="24" />
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+		<layer id="1909" name="self.model.up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight_compressed" type="Const" version="opset1">
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@@ -32722,27 +31896,27 @@
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@@ -32753,8 +31927,8 @@
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+		<layer id="1912" name="Constant_77311_compressed" type="Const" version="opset1">
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@@ -32763,7 +31937,7 @@
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-		<layer id="2154" name="Constant_502536" type="Convert" version="opset1">
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@@ -32783,7 +31957,7 @@
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+		<layer id="1958" name="__module.model.up_blocks.1.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
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@@ -33437,16 +32672,18 @@
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@@ -33455,44 +32692,56 @@
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 					<dim>1280</dim>
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+		<layer id="1961" name="__module.model.up_blocks.1.attentions.1.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+		<layer id="1962" name="__module.model.up_blocks.1.attentions.1.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -33501,69 +32750,45 @@
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@@ -33575,12 +32800,12 @@
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@@ -33588,19 +32813,8 @@
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-			<data special_zero="true" />
+		<layer id="1966" name="__module.model.up_blocks.1/aten::cat/Concat_2" type="Concat" version="opset1">
+			<data axis="1" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -33608,72 +32822,69 @@
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 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
-					<dim>3</dim>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>640</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="2295,input.209">
+					<dim>-1</dim>
+					<dim>1920</dim>
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="1967" name="self.model.up_blocks.1.resnets.2.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1920, 1, 1" offset="1357776156" size="4915200" />
 			<output>
-				<port id="0" precision="I32">
+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.2.conv_shortcut.weight">
+					<dim>1280</dim>
+					<dim>1920</dim>
 					<dim>1</dim>
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-			</output>
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-		<layer id="2203" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
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 		</layer>
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-			<data output_type="i32" />
+		<layer id="1968" name="self.model.up_blocks.1.resnets.2.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<input>
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+				<port id="0" precision="FP16">
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-					<dim>-1</dim>
+					<dim>1920</dim>
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+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="1969" name="__module.model.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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+					<dim>1920</dim>
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-				<port id="1" precision="I32">
-					<dim>4</dim>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>1920</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
@@ -33685,8 +32896,8 @@
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 			</output>
 		</layer>
-		<layer id="2206" name="Constant_502540_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1280, 1, 1" offset="250445452" size="2560" />
+		<layer id="1970" name="__module.model.up_blocks.1.resnets.2.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280, 1, 1" offset="1362691356" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -33696,7 +32907,7 @@
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 			</output>
 		</layer>
-		<layer id="2207" name="Constant_502540" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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 				<attribute name="decompression" version="0" />
@@ -33718,7 +32929,7 @@
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 		</layer>
-		<layer id="2208" name="__module.model.down_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -33735,7 +32946,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="2340,input_tensor.15">
 					<dim>-1</dim>
 					<dim>1280</dim>
 					<dim>-1</dim>
@@ -33743,94 +32954,109 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="250448012" size="2560" />
+		<layer id="1973" name="self.model.up_blocks.1.resnets.2.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1920" offset="1362693916" size="3840" />
 			<output>
+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.2.norm1.weight">
+					<dim>1920</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1974" name="self.model.up_blocks.1.resnets.2.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
 				<port id="0" precision="FP16">
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-					<dim>1280</dim>
-					<dim>1</dim>
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+					<dim>1920</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1920</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1975" name="self.model.up_blocks.1.resnets.2.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1920" offset="1362697756" size="3840" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.2.norm1.bias">
+					<dim>1920</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2210" name="Constant_502541" type="Convert" version="opset1">
+		<layer id="1976" name="self.model.up_blocks.1.resnets.2.norm1.bias" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
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 				<port id="0" precision="FP16">
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-					<dim>1280</dim>
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-					<dim>1</dim>
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 			<output>
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-					<dim>1280</dim>
-					<dim>1</dim>
-					<dim>1</dim>
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1977" name="__module.model.up_blocks.1.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999997473787516e-06" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
+					<dim>1920</dim>
+				</port>
+				<port id="2" precision="FP32">
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 				</port>
 			</input>
 			<output>
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 			</output>
 		</layer>
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+		<layer id="1978" name="__module.model.conv_act/aten::silu/Swish_46" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			<output>
-				<port id="1" precision="FP32" names="1878,input.93">
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="250450572" size="29491200" />
+		<layer id="1979" name="self.model.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1920, 3, 3" offset="1362701596" size="44236800" />
 			<output>
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+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.2.conv1.weight">
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+					<dim>1920</dim>
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 					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2214" name="self.model.down_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
+		<layer id="1980" name="self.model.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -33838,7 +33064,7 @@
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>1280</dim>
+					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
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@@ -33846,24 +33072,24 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1280</dim>
-					<dim>1280</dim>
+					<dim>1920</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2215" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="1981" name="__module.model.up_blocks.1.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>1280</dim>
+					<dim>1920</dim>
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 					<dim>3</dim>
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@@ -33877,8 +33103,8 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="279941772" size="2560" />
+		<layer id="1982" name="__module.model.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -33888,7 +33114,7 @@
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 			</output>
 		</layer>
-		<layer id="2217" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -33910,7 +33136,7 @@
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 		</layer>
-		<layer id="2218" name="__module.model.down_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -33927,7 +33153,7 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>1280</dim>
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 		</layer>
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-					<dim>-1</dim>
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-			</input>
+		<layer id="1985" name="self.model.up_blocks.1.resnets.2.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1406940956" size="3276800" />
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+				<port id="0" precision="FP16" names="self.model.up_blocks.1.resnets.2.time_emb_proj.weight">
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 					<dim>1280</dim>
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+		<layer id="1986" name="self.model.up_blocks.1.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
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+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+		<layer id="1987" name="__module.model.up_blocks.1.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
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 					<dim>-1</dim>
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+		<layer id="1988" name="Constant_77316_compressed" type="Const" version="opset1">
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@@ -34100,14 +33297,14 @@
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@@ -34115,76 +33312,39 @@
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@@ -34192,22 +33352,16 @@
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+		<layer id="1998" name="__module.model.up_blocks.1.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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@@ -34217,13 +33371,13 @@
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 				<port id="1" precision="FP32">
 					<dim>1280</dim>
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@@ -34231,18 +33385,94 @@
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+		<layer id="1999" name="__module.model.conv_act/aten::silu/Swish_48" type="Swish" version="opset4">
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+		<layer id="2001" name="self.model.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="2002" name="__module.model.up_blocks.1.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -34264,7 +33494,7 @@
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@@ -34281,7 +33511,7 @@
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@@ -34289,15 +33519,8 @@
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 					<dim>-1</dim>
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@@ -34529,8 +33822,8 @@
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@@ -34559,7 +33852,7 @@
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@@ -34660,7 +33953,7 @@
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+		<layer id="2047" name="Constant_80217" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="154711756" size="32" />
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+				<attribute name="precise" version="0" />
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 		</layer>
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 				<port id="0" precision="FP32">
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 			<output>
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@@ -34898,15 +34224,15 @@
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@@ -34914,12 +34240,12 @@
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 					<dim>160</dim>
 				</port>
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@@ -34927,67 +34253,84 @@
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+		<layer id="2051" name="__module.model.up_blocks.1.attentions.2.transformer_blocks.0.attn1/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
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 				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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@@ -34995,23 +34338,23 @@
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 			<output>
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@@ -35029,7 +34372,7 @@
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@@ -35043,210 +34386,268 @@
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+		<layer id="2069" name="Constant_77321" type="Convert" version="opset1">
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 			<rt_info>
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 				</port>
 			</input>
 			<output>
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@@ -35259,7 +34660,7 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
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@@ -35267,15 +34668,15 @@
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@@ -35283,12 +34684,12 @@
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 					<dim>160</dim>
 				</port>
-				<port id="1" precision="I64">
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 					<dim>-1</dim>
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@@ -35296,194 +34697,286 @@
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 			<output>
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+				<attribute name="decompression" version="0" />
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@@ -35493,224 +34986,261 @@
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@@ -35718,682 +35248,755 @@
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@@ -36402,948 +36005,976 @@
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@@ -37351,6 +36982,7 @@
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@@ -37358,94 +36990,68 @@
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@@ -37455,1167 +37061,1299 @@
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@@ -38624,155 +38362,382 @@
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+		</layer>
+		<layer id="2318" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
+				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="BOOL">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2319" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="BOOL">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2320" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="I32" />
 				<port id="1" precision="I32">
 					<dim>1</dim>
 				</port>
@@ -38783,15 +38748,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2550" name="Constant_140783" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="9005926" size="4" />
+		<layer id="2321" name="Constant_45682" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9005864" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2551" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="2322" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -38807,12 +38772,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2552" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="2323" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="I64" />
 				<port id="2" precision="I32">
@@ -38820,116 +38785,116 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="2163,hidden_states.153">
+				<port id="3" precision="FP32" names="2712,hidden_states.423">
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 					<dim>-1</dim>
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+					<dim>2560</dim>
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+				<port id="4" precision="FP32" names="2713">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
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+		<layer id="2324" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="2165">
+				<port id="1" precision="FP32" names="2714">
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 					<dim>-1</dim>
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+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2554" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="2325" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 					<dim>-1</dim>
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+					<dim>2560</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2166,input.99">
+				<port id="2" precision="FP32" names="2715,input.239">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 			</output>
 		</layer>
-		<layer id="2555" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1280, 5120" offset="333077132" size="13107200" />
+		<layer id="2326" name="self.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="1586615836" size="3276800" />
 			<output>
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-					<dim>1280</dim>
-					<dim>5120</dim>
+				<port id="0" precision="FP16" names="self.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight">
+					<dim>640</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2556" name="self.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
+		<layer id="2327" name="self.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>1280</dim>
-					<dim>5120</dim>
+					<dim>640</dim>
+					<dim>2560</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>5120</dim>
+					<dim>640</dim>
+					<dim>2560</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2557" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="2328" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>2560</dim>
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 				<port id="1" precision="FP32">
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-					<dim>5120</dim>
+					<dim>640</dim>
+					<dim>2560</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>1280</dim>
+					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="2558" name="Constant_502557_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="346184332" size="2560" />
+		<layer id="2329" name="Constant_77337_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="1589892636" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>1280</dim>
+					<dim>640</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2559" name="Constant_502557" type="Convert" version="opset1">
+		<layer id="2330" name="Constant_77337" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -38938,88 +38903,116 @@
 				<port id="0" precision="FP16">
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 					<dim>1</dim>
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+					<dim>640</dim>
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+					<dim>640</dim>
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 		</layer>
-		<layer id="2560" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="2331" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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+					<dim>640</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2170,ff_output.11">
+				<port id="2" precision="FP32" names="2719,ff_output.21">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>640</dim>
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 			</output>
 		</layer>
-		<layer id="2561" name="__module.model.down_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="2332" name="__module.model.up_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>640</dim>
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2171,hidden_states.157">
+				<port id="2" precision="FP32" names="2720,hidden_states.427">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2333" name="__module.model.up_blocks.2.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>640</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
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 			</output>
 		</layer>
-		<layer id="2562" name="Constant_332838" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9005910" size="8" />
+		<layer id="2334" name="Constant_73518" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13686292" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2563" name="__module.model.down_blocks.2.attentions.1/prim::ListConstruct/Reshape_0_1" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="2335" name="Constant_73519" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868800" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="2336" name="Gather_73520" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="3" precision="I64">
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="2564" name="Constant_332839" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9005910" size="8" />
+		<layer id="2337" name="Constant_34239" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56010924" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -39029,137 +39022,117 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="2565" name="__module.model.down_blocks.2.attentions.1/prim::ListConstruct/Reshape_1_1" type="Reshape" version="opset1">
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-		</layer>
-		<layer id="2566" name="__module.model.down_blocks.2.attentions.1/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="2338" name="__module.model.up_blocks.2.attentions.0/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
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+					<dim>3</dim>
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 				<port id="1" precision="I64">
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-				<port id="3" precision="I64">
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 			</input>
 			<output>
-				<port id="4" precision="I64" names="2172">
+				<port id="2" precision="I64">
 					<dim>4</dim>
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 		</layer>
-		<layer id="2567" name="__module.model.down_blocks.2.attentions.1/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="2339" name="__module.model.up_blocks.2.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="2173">
+				<port id="2" precision="FP32" names="2722">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
-		<layer id="2568" name="Constant_79051" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13686344" size="32" />
+		<layer id="2340" name="Constant_34248" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="2723">
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 		</layer>
-		<layer id="2569" name="__module.model.down_blocks.2.attentions.1/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2341" name="__module.model.up_blocks.2.attentions.0/aten::permute/Transpose_1" type="Transpose" version="opset1">
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 			<output>
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 		</layer>
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 			<output>
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+		<layer id="2344" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
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@@ -39167,24 +39140,24 @@
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="349463692" size="2560" />
+		<layer id="2345" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1590713116" size="1280" />
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-		<layer id="2574" name="__module.model.down_blocks.2.attentions.1.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="2346" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
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@@ -39192,7 +39165,7 @@
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@@ -39200,97 +39173,122 @@
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+		<layer id="2347" name="__module.model.up_blocks.2.attentions.0.proj_out/aten::_convolution/Add" type="Add" version="opset1">
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 		</layer>
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+		<layer id="2348" name="__module.model.up_blocks.2.attentions.0/aten::add/Add" type="Add" version="opset1">
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 				<port id="1" precision="FP32">
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 			<output>
-				<port id="2" precision="FP32" names="2184,2195,hidden_states.161">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1280, 1280, 3, 3" offset="349466252" size="29491200" />
+		<layer id="2349" name="__module.model.up_blocks.2/aten::cat/Concat_1" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
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 			<output>
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+				<port id="2" precision="FP32" names="2735,input.241">
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 					<dim>1280</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2350" name="self.model.up_blocks.2.resnets.1.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280, 1, 1" offset="1590714396" size="1638400" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.up_blocks.2.resnets.1.conv_shortcut.weight">
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 					<dim>1280</dim>
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-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="2578" name="self.model.down_blocks.2.downsamplers.0.conv.weight" type="Convert" version="opset1">
+		<layer id="2351" name="self.model.up_blocks.2.resnets.1.conv_shortcut.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
+					<dim>640</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
+					<dim>640</dim>
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-					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="2352" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -39299,33 +39297,33 @@
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 				</port>
 				<port id="1" precision="FP32">
+					<dim>640</dim>
 					<dim>1280</dim>
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 			<output>
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 		</layer>
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-			<data element_type="f16" shape="1, 1280, 1, 1" offset="378957452" size="2560" />
+		<layer id="2353" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1592352796" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
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+					<dim>640</dim>
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 		</layer>
-		<layer id="2581" name="__module.model.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="2354" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -39333,7 +39331,7 @@
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+					<dim>640</dim>
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@@ -39341,169 +39339,87 @@
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 					<dim>1</dim>
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 		</layer>
-		<layer id="2582" name="__module.model.down_blocks.2.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2355" name="__module.model.up_blocks.2.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
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 			<input>
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 			<output>
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+				<port id="2" precision="FP32" names="2780,input_tensor.19">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2356" name="self.model.up_blocks.2.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="FP16" names="self.model.up_blocks.2.resnets.1.norm1.weight">
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="2357" name="self.model.up_blocks.2.resnets.1.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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-					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="2358" name="self.model.up_blocks.2.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280" offset="1592356636" size="2560" />
 			<output>
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 		</layer>
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+		<layer id="2359" name="self.model.up_blocks.2.resnets.1.norm1.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+		<layer id="2360" name="__module.model.up_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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@@ -39512,72 +39428,14 @@
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@@ -39603,25 +39461,25 @@
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@@ -39629,14 +39487,14 @@
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@@ -39655,24 +39513,24 @@
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@@ -39680,7 +39538,7 @@
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@@ -39688,65 +39546,65 @@
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@@ -39754,27 +39612,27 @@
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-		<layer id="2606" name="Constant_502560" type="Convert" version="opset1">
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@@ -39782,261 +39640,255 @@
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@@ -40052,1611 +39904,1662 @@
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@@ -41664,688 +41567,531 @@
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@@ -42356,53134 +42102,665 @@
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+		<layer id="2563" name="__module.model.up_blocks.2.resnets.2/aten::add/Add" type="Add" version="opset1">
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 		</layer>
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+			<data element_type="f16" shape="640" offset="1648434716" size="1280" />
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+			</output>
+		</layer>
+		<layer id="2567" name="self.model.up_blocks.2.resnets.2.norm2.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="1" precision="FP32">
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-			<data auto_broadcast="numpy" />
+		<layer id="2568" name="__module.model.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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+				<port id="2" precision="FP32">
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-		<layer id="6208" name="__module.model.up_blocks.3/aten::cat/Concat_1" type="Concat" version="opset1">
-			<data axis="1" />
+		<layer id="2569" name="__module.model.conv_act/aten::silu/Swish_57" type="Swish" version="opset4">
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 			<output>
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 					<dim>640</dim>
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@@ -95835,41 +42947,41 @@
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 		</layer>
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+			<data element_type="f16" shape="640, 640, 3, 3" offset="1648435996" size="7372800" />
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 		</layer>
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+		<layer id="2571" name="self.model.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+		<layer id="2572" name="__module.model.up_blocks.2.resnets.2.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -95878,33 +42990,33 @@
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 					<dim>640</dim>
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 			<output>
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 		</layer>
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="1695877148" size="640" />
+		<layer id="2573" name="__module.model.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1655808796" size="1280" />
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 				<port id="0" precision="FP16">
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 		</layer>
-		<layer id="6213" name="__module.model.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="2574" name="__module.model.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -95912,7 +43024,7 @@
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@@ -95920,50 +43032,39 @@
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 			</output>
 		</layer>
-		<layer id="6214" name="__module.model.up_blocks.3.resnets.1.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="2575" name="__module.model.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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 			<output>
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+				<port id="2" precision="FP32" names="2981,hidden_states.469">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="2576" name="__module.model.up_blocks.2.resnets.2/aten::add/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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@@ -95971,76 +43072,88 @@
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 					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I32">
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="2989,2990,hidden_states.471">
+					<dim>-1</dim>
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 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="2577" name="self.model.up_blocks.2.attentions.2.norm.weight_compressed" type="Const" version="opset1">
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 			<output>
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 		</layer>
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+		<layer id="2578" name="self.model.up_blocks.2.attentions.2.norm.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<output>
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 		</layer>
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-			<data output_type="i32" />
+		<layer id="2579" name="self.model.up_blocks.2.attentions.2.norm.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640" offset="1655811356" size="1280" />
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+				<port id="0" precision="FP16" names="self.model.up_blocks.2.attentions.2.norm.bias">
+					<dim>640</dim>
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+		</layer>
+		<layer id="2580" name="self.model.up_blocks.2.attentions.2.norm.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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 			<output>
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 		</layer>
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+		<layer id="2581" name="__module.model.up_blocks.2.attentions.2.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 					<dim>-1</dim>
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-				<port id="1" precision="I32">
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+				<port id="1" precision="FP32">
+					<dim>640</dim>
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+				<port id="2" precision="FP32">
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 			</input>
 			<output>
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+				<port id="3" precision="FP32" names="3006">
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 					<dim>640</dim>
 					<dim>-1</dim>
@@ -96048,25 +43161,25 @@
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 		</layer>
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+		<layer id="2582" name="self.model.up_blocks.2.attentions.2.proj_in.weight_compressed" type="Const" version="opset1">
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 			<output>
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 		</layer>
-		<layer id="6222" name="Constant_502756" type="Convert" version="opset1">
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 			<rt_info>
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 				<port id="0" precision="FP16">
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@@ -96074,15 +43187,15 @@
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@@ -96139,7 +43252,7 @@
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@@ -100095,12 +46854,12 @@
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@@ -100108,205 +46867,286 @@
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-				<port id="1" precision="I64" />
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+					<dim>320</dim>
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 		</layer>
-		<layer id="6490" name="Constant_333231" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9005910" size="8" />
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 			<rt_info>
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+				<attribute name="decompression" version="0" />
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-			<data special_zero="false" />
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@@ -100708,7 +47601,7 @@
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 			<output>
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@@ -100716,15 +47609,15 @@
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@@ -100732,12 +47625,12 @@
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@@ -100745,435 +47638,758 @@
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 		</layer>
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-				<port id="1" precision="I64" />
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+					<dim>768</dim>
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 		</layer>
-		<layer id="6533" name="Constant_333237" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9005910" size="8" />
+		<layer id="2851" name="self.model.up_blocks.3.attentions.0.transformer_blocks.0.attn2.to_v.weight" type="Convert" version="opset1">
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 		</layer>
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@@ -101749,268 +49024,231 @@
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-			<rt_info>
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@@ -102019,14 +49257,14 @@
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+			<data destination_type="f32" />
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@@ -102102,14 +49330,14 @@
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@@ -102161,34 +49382,34 @@
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@@ -102211,7 +49432,7 @@
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-		<layer id="6625" name="__module.model.up_blocks.3.resnets.2.conv_shortcut/aten::_convolution/Reshape" type="Convert" version="opset1">
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@@ -102233,7 +49454,7 @@
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@@ -102250,7 +49471,7 @@
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@@ -102258,148 +49479,149 @@
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@@ -104868,700 +51791,729 @@
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@@ -105570,252 +52522,212 @@
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@@ -105824,1004 +52736,724 @@
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+		<layer id="3235" name="Constant_80270" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9621596" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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-			<data special_zero="false" />
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@@ -107480,7 +54115,7 @@
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-		<layer id="6978" name="Constant_502793" type="Convert" version="opset1">
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@@ -107621,8 +54256,8 @@
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@@ -107631,7 +54266,7 @@
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-		<layer id="6984" name="Constant_502794" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -107651,7 +54286,7 @@
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 		</layer>
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 			<data auto_broadcast="numpy" />
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@@ -107673,8 +54308,8 @@
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+		<layer id="3249" name="Constant_77390_compressed" type="Const" version="opset1">
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@@ -107683,7 +54318,7 @@
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 			</output>
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-		<layer id="6987" name="Constant_502795" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -107703,7 +54338,7 @@
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@@ -107718,15 +54353,15 @@
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@@ -107734,7 +54369,7 @@
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@@ -107752,7 +54387,7 @@
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@@ -107773,8 +54408,8 @@
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@@ -107783,7 +54418,7 @@
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-		<layer id="6993" name="Constant_502796" type="Convert" version="opset1">
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@@ -107803,7 +54438,7 @@
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@@ -107818,14 +54453,14 @@
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 			<input>
 				<port id="0" precision="FP32">
@@ -107840,15 +54475,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6996" name="Constant_140922" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="1868826" size="4" />
+		<layer id="3259" name="Constant_46041" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12866444" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="6997" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="3260" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
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 				<port id="0" precision="I32">
@@ -107863,7 +54498,7 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6998" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="3261" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
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 				<port id="0" precision="I32" />
@@ -107873,7 +54508,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="6999" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="3262" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -107883,7 +54518,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="7000" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="3263" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -107897,7 +54532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7001" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="3264" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -107910,7 +54545,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7002" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="3265" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -107924,42 +54559,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7003" name="Constant_140931" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12866500" size="4" />
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-			<output>
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-			</output>
-		</layer>
-		<layer id="7004" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
-			<data mode="numpy" />
-			<input>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-				<port id="1" precision="I32">
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-			<output>
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-		</layer>
-		<layer id="7005" name="Constant_140923" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="9005926" size="4" />
+		<layer id="3266" name="Constant_46042" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9005864" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7006" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="3267" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -107975,7 +54583,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7007" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="3268" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -107988,19 +54596,19 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="5970,hidden_states.445">
+				<port id="3" precision="FP32" names="3774,hidden_states.605">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="4" precision="FP32" names="5971">
+				<port id="4" precision="FP32" names="3775">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7008" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
+		<layer id="3269" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
 			<data approximation_mode="ERF" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108010,14 +54618,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="5972">
+				<port id="1" precision="FP32" names="3776">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7009" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3270" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108032,15 +54640,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5973,input.319">
+				<port id="2" precision="FP32" names="3777,input.319">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7010" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 1280" offset="1718156828" size="819200" />
+		<layer id="3271" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 1280" offset="1718156988" size="819200" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight">
 					<dim>320</dim>
@@ -108048,7 +54656,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7011" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
+		<layer id="3272" name="self.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -108066,7 +54674,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7012" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3273" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108087,8 +54695,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7013" name="Constant_502797_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1718976028" size="640" />
+		<layer id="3274" name="Constant_77392_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1718976188" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -108097,7 +54705,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7014" name="Constant_502797" type="Convert" version="opset1">
+		<layer id="3275" name="Constant_77392" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -108117,7 +54725,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7015" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3276" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108132,14 +54740,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5977,ff_output">
+				<port id="2" precision="FP32" names="3781,ff_output">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7016" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="3277" name="__module.model.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108154,40 +54762,68 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5978,hidden_states.449">
+				<port id="2" precision="FP32" names="3782,hidden_states.609">
+					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3278" name="__module.model.up_blocks.3.attentions.2/aten::size/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7017" name="Constant_333288" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9005910" size="8" />
+		<layer id="3279" name="Constant_73563" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13686292" size="24" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7018" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct/Reshape_0_1" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="3280" name="Constant_73564" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868800" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
 				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="3281" name="Gather_73565" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
+				<port id="3" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7019" name="Constant_333289" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9005910" size="8" />
+		<layer id="3282" name="Constant_42551" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13686316" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -108197,43 +54833,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7020" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct/Reshape_1_1" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
-				<port id="0" precision="I64" />
-				<port id="1" precision="I64">
-					<dim>1</dim>
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-			<output>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="7021" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3283" name="__module.model.up_blocks.3.attentions.2/prim::ListConstruct_1" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="5979">
+				<port id="2" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7022" name="__module.model.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3284" name="__module.model.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108246,7 +54862,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5980">
+				<port id="2" precision="FP32" names="3784">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -108254,15 +54870,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7023" name="Constant_99913" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13686344" size="32" />
+		<layer id="3285" name="Constant_42560" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13686324" size="32" />
 			<output>
-				<port id="0" precision="I64" names="5981">
+				<port id="0" precision="I64" names="3785">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7024" name="__module.model.up_blocks.3.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3286" name="__module.model.up_blocks.3.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -108275,7 +54891,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="5982">
+				<port id="2" precision="FP32" names="3786">
 					<dim>-1</dim>
 					<dim>320</dim>
 					<dim>-1</dim>
@@ -108283,8 +54899,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7025" name="self.model.up_blocks.3.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320, 1, 1" offset="1718976668" size="204800" />
+		<layer id="3287" name="self.model.up_blocks.3.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="1718976828" size="204800" />
 			<output>
 				<port id="0" precision="FP16" names="self.model.up_blocks.3.attentions.2.proj_out.weight">
 					<dim>320</dim>
@@ -108294,7 +54910,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7026" name="self.model.up_blocks.3.attentions.2.proj_out.weight" type="Convert" version="opset1">
+		<layer id="3288" name="self.model.up_blocks.3.attentions.2.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -108316,7 +54932,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7027" name="__module.model.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3289" name="__module.model.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108341,8 +54957,8 @@
 				</port>
 			</output>
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