diff --git "a/unet/openvino_model.xml" "b/unet/openvino_model.xml"
--- "a/unet/openvino_model.xml"
+++ "b/unet/openvino_model.xml"
@@ -30,47 +30,76 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="Constant_502937_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="3" name="self.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.conv_in.weight">
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Constant_502937" type="Convert" version="opset1">
+		<layer id="4" name="self.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>
+					<dim>320</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="__module.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="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="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5" name="Constant_502932_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="6" name="__module.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="6" name="Constant_502932" type="Convert" version="opset1">
+		<layer id="7" name="__module.conv_in/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -78,6 +107,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -85,172 +115,198 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="Constant_502916_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="8" name="Constant_502916" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="8" name="__module.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="142,input.3">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Constant_502911_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="9" name="self.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.down_blocks.0.resnets.0.norm1.weight">
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="Constant_502911" type="Convert" version="opset1">
+		<layer id="10" name="self.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="11" name="Constant_502895_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="11" name="self.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.down_blocks.0.resnets.0.norm1.bias">
+					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="Constant_502895" type="Convert" version="opset1">
+		<layer id="12" name="self.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>
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+					<dim>320</dim>
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-					<dim>1</dim>
-					<dim>1</dim>
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+					<dim>320</dim>
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 			</output>
 		</layer>
-		<layer id="13" name="Constant_502890_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="13" name="__module.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>
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+			</input>
 			<output>
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-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="180,input.5">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 		</layer>
-		<layer id="14" name="Constant_502890" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="14" name="__module.conv_act/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			<output>
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-					<dim>1</dim>
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+				<port id="1" precision="FP32" names="181">
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+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 		</layer>
-		<layer id="15" name="Constant_502874_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="15" name="self.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>
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-					<dim>1</dim>
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+				<port id="0" precision="FP16" names="self.down_blocks.0.resnets.0.conv1.weight">
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Constant_502874" type="Convert" version="opset1">
+		<layer id="16" name="self.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">
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-					<dim>1</dim>
-					<dim>1</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</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="17" name="__module.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="17" name="Constant_502869_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="18" name="__module.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="18" name="Constant_502869" type="Convert" version="opset1">
+		<layer id="19" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -258,6 +314,7 @@
 			<input>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -265,112 +322,151 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>320</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
-			<output>
-				<port id="0" precision="FP16">
+		<layer id="20" name="__module.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="188,hidden_states.1">
+					<dim>-1</dim>
+					<dim>320</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="20" name="Constant_502853" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="21" name="ShapeOf_82369" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
-				<port id="0" precision="FP16">
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+					<dim>4</dim>
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 			<output>
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-					<dim>1</dim>
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+				<port id="1" precision="I64">
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 			</output>
 		</layer>
-		<layer id="21" name="Constant_502848_compressed" type="Const" version="opset1">
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+		<layer id="22" name="Constant_82370" 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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+				<port id="0" precision="I64">
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 			</output>
 		</layer>
-		<layer id="22" name="Constant_502848" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="23" name="Constant_82371" 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="24" name="Gather_82372" type="Gather" version="opset8">
+			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="FP16">
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+				<port id="0" precision="I64">
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+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64" />
 			</input>
 			<output>
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+				<port id="3" precision="I64" names="1189,1388,1718,2180,2389,2598,28,2850,30,301,3059,3268,3518,3643,3646,3683,3727,3936,500,745,944">
 					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="25" name="aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
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+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I64" names="106,33,timesteps">
+					<dim>-1</dim>
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 		</layer>
-		<layer id="23" name="Constant_502832_compressed" type="Const" version="opset1">
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+		<layer id="26" name="92" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868808" size="8" />
 			<output>
-				<port id="0" precision="FP16">
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-					<dim>1</dim>
+				<port id="0" precision="I64" names="92" />
+			</output>
+		</layer>
+		<layer id="27" name="__module.time_proj/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="I64">
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64" />
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+			<output>
+				<port id="2" precision="I64" names="107">
+					<dim>-1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="Constant_502832" type="Convert" version="opset1">
+		<layer id="28" name="__module.time_proj/aten::to/Convert" type="Convert" version="opset1">
 			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
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+				<port id="1" precision="FP32" names="108">
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-		<layer id="25" name="Constant_502827_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1" offset="0" size="2" />
+		<layer id="29" name="__module.time_proj/aten::slice/Slice_1_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 160" offset="1868816" size="320" />
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-		<layer id="26" name="Constant_502827" type="Convert" version="opset1">
+		<layer id="30" name="__module.time_proj/aten::slice/Slice_1" type="Convert" version="opset1">
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@@ -378,209 +474,265 @@
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+		<layer id="31" name="__module.time_proj/aten::mul/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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-			<rt_info>
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+		<layer id="32" name="__module.time_proj/aten::sin/Sin" type="Sin" version="opset1">
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+		<layer id="33" name="__module.time_proj/aten::cos/Cos" type="Cos" version="opset1">
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+				<port id="0" precision="FP32">
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-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="34" name="__module.time_proj/aten::cat/Concat" type="Concat" version="opset1">
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+		<layer id="38" name="__module.time_proj/aten::slice/Reshape_1" type="Const" version="opset1">
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-			<rt_info>
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+		<layer id="39" name="__module.time_proj/aten::slice/Slice_3" type="Slice" version="opset8">
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+				<port id="0" precision="FP32">
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+		<layer id="41" name="Constant_14911" type="Const" version="opset1">
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+		<layer id="43" name="__module.time_proj/aten::slice/Slice_5" type="Slice" version="opset8">
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 		</layer>
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+		<layer id="47" name="__module.time_embedding.linear_1/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
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-		<layer id="39" name="Constant_502728_compressed" type="Const" version="opset1">
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+		<layer id="48" name="Constant_79846_compressed" type="Const" version="opset1">
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@@ -588,119 +740,105 @@
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+			<data auto_broadcast="numpy" />
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@@ -708,119 +846,105 @@
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+		<layer id="57" name="__module.time_embedding.linear_2/aten::linear/Add" type="Add" version="opset1">
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-			<rt_info>
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 		</layer>
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-			<rt_info>
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+		<layer id="61" name="__module.down_blocks.0.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
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@@ -828,180 +952,209 @@
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+			<data auto_broadcast="numpy" />
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+		<layer id="66" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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+		<layer id="68" name="__module.down_blocks.0.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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@@ -1009,7 +1162,7 @@
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@@ -1017,24 +1170,24 @@
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@@ -1048,8 +1201,8 @@
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+		<layer id="79" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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@@ -1059,7 +1212,7 @@
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+		<layer id="80" name="__module.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -1081,7 +1234,7 @@
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-		<layer id="72" name="__module.conv_in/aten::_convolution/Add" type="Add" version="opset1">
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@@ -1098,7 +1251,7 @@
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@@ -1106,19 +1259,8 @@
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+		<layer id="82" name="__module.down_blocks.0.resnets.0/aten::add/Add_1" type="Add" version="opset1">
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@@ -1126,76 +1268,88 @@
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+				<port id="2" precision="FP32" names="210,211,hidden_states.5">
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="83" name="self.down_blocks.0.attentions.0.norm.weight_compressed" type="Const" version="opset1">
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+		<layer id="84" name="self.down_blocks.0.attentions.0.norm.weight" type="Convert" version="opset1">
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+		<layer id="85" name="self.down_blocks.0.attentions.0.norm.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320" offset="8635888" size="640" />
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+					<dim>320</dim>
+				</port>
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+		<layer id="86" name="self.down_blocks.0.attentions.0.norm.bias" type="Convert" version="opset1">
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+				<attribute name="decompression" version="0" />
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 		</layer>
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+		<layer id="87" name="__module.down_blocks.0.attentions.0.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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@@ -1203,25 +1357,25 @@
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 		</layer>
-		<layer id="80" name="Constant_502575" type="Convert" version="opset1">
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@@ -1229,15 +1383,15 @@
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@@ -1246,7 +1400,7 @@
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@@ -1261,8 +1415,8 @@
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@@ -1272,7 +1426,7 @@
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 		</layer>
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@@ -1294,7 +1448,7 @@
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 		</layer>
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@@ -1311,7 +1465,7 @@
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 					<dim>320</dim>
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@@ -1319,7 +1473,15 @@
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 			</output>
 		</layer>
-		<layer id="85" name="__module.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="94" name="Constant_15260" type="Const" version="opset1">
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@@ -1327,549 +1489,661 @@
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 					<dim>-1</dim>
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+			<data element_type="i64" shape="3" offset="8842000" size="24" />
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@@ -3276,66 +3464,74 @@
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@@ -62733,22 +8683,19 @@
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@@ -62758,7 +8705,7 @@
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@@ -62775,539 +8722,430 @@
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@@ -63395,21 +9233,21 @@
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@@ -63418,50 +9256,50 @@
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@@ -63470,98 +9308,98 @@
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@@ -63570,46 +9408,52 @@
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@@ -63618,15 +9462,15 @@
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@@ -63641,7 +9485,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
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+		<layer id="581" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="12702608" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="582" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
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@@ -63651,7 +9501,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
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@@ -63661,7 +9511,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4132" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -63675,7 +9525,7 @@
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 			</output>
 		</layer>
-		<layer id="4133" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="585" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
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 				<port id="0" precision="BOOL">
@@ -63688,7 +9538,7 @@
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 			</output>
 		</layer>
-		<layer id="4134" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="586" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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@@ -63702,42 +9552,15 @@
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 			</output>
 		</layer>
-		<layer id="4135" name="Constant_140949" type="Const" version="opset1">
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-		<layer id="4136" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
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-		<layer id="4137" name="Constant_140941" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="8842086" size="4" />
+		<layer id="587" name="Constant_45740" type="Const" version="opset1">
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 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4138" name="__module.up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="588" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
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 				<port id="0" precision="I32">
@@ -63753,12 +9576,12 @@
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 			</output>
 		</layer>
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+		<layer id="589" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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@@ -63766,116 +9589,116 @@
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="3667,hidden_states.259">
+				<port id="3" precision="FP32" names="793,hidden_states.103">
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 					<dim>-1</dim>
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+		<layer id="590" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 			<output>
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+				<port id="1" precision="FP32" names="795">
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 					<dim>-1</dim>
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 		</layer>
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+		<layer id="591" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
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-			<data element_type="f16" shape="1280, 5120" offset="1341223068" size="13107200" />
+		<layer id="592" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 2560" offset="52569004" size="3276800" />
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-					<dim>5120</dim>
+				<port id="0" precision="FP16" names="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight">
+					<dim>640</dim>
+					<dim>2560</dim>
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 		</layer>
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+		<layer id="593" name="self.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
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-					<dim>5120</dim>
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 			<output>
 				<port id="1" precision="FP32">
-					<dim>1280</dim>
-					<dim>5120</dim>
+					<dim>640</dim>
+					<dim>2560</dim>
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 		</layer>
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+		<layer id="594" name="__module.down_blocks.1.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="1" precision="FP32">
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-					<dim>5120</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-			<data element_type="f16" shape="1, 1, 1280" offset="1354330268" size="2560" />
+		<layer id="595" name="Constant_79880_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 640" offset="55845804" size="1280" />
 			<output>
 				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 		</layer>
-		<layer id="4146" name="Constant_502795" type="Convert" version="opset1">
+		<layer id="596" name="Constant_79880" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -63884,88 +9707,116 @@
 				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 					<dim>1</dim>
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+		<layer id="597" name="__module.down_blocks.1.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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 					<dim>1</dim>
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 			<output>
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+				<port id="2" precision="FP32" names="800,ff_output.5">
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 					<dim>-1</dim>
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+					<dim>640</dim>
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 		</layer>
-		<layer id="4148" name="__module.up_blocks.1.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="598" name="__module.down_blocks.1.attentions.0.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="__module.down_blocks.1.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>
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+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
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 		</layer>
-		<layer id="4149" name="Constant_333120" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="1868830" size="8" />
+		<layer id="600" name="Constant_76043" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522452" size="24" />
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 			<output>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>3</dim>
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-			<data special_zero="false" />
-			<input>
+		<layer id="601" name="Constant_76044" 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="602" name="Gather_76045" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
 				<port id="1" precision="I64">
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+					<dim>3</dim>
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+				<port id="2" precision="I64" />
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 			<output>
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-					<dim>1</dim>
+				<port id="3" precision="I64">
+					<dim>3</dim>
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-		<layer id="4151" name="Constant_333121" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="1868830" size="8" />
+		<layer id="603" name="Constant_19878" type="Const" version="opset1">
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@@ -63975,137 +9826,117 @@
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 			<output>
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 			<output>
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@@ -64113,24 +9944,24 @@
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@@ -64138,7 +9969,7 @@
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@@ -64146,72 +9977,138 @@
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+		<layer id="616" name="self.down_blocks.1.resnets.1.norm1.weight" type="Convert" version="opset1">
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+		<layer id="617" name="self.down_blocks.1.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
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+		<layer id="618" name="self.down_blocks.1.resnets.1.norm1.bias" type="Convert" version="opset1">
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 		</layer>
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@@ -64304,7 +10201,7 @@
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@@ -64312,146 +10209,93 @@
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@@ -68463,7 +14308,7 @@
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@@ -68471,15 +14316,15 @@
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@@ -68487,12 +14332,12 @@
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 					<dim>8</dim>
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@@ -68500,205 +14345,286 @@
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@@ -69040,22 +14979,8 @@
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+		<layer id="912" name="Constant_22700" type="Const" version="opset1">
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@@ -69065,7 +14990,7 @@
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@@ -69082,12 +15007,12 @@
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@@ -69124,12 +15049,12 @@
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 					<dim>8</dim>
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@@ -69137,435 +15062,326 @@
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+				<attribute name="decompression" version="0" />
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 					<dim>-1</dim>
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 		</layer>
-		<layer id="4524" name="__module.up_blocks.1.attentions.2.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
+		<layer id="942" name="__module.down_blocks.2.attentions.0.transformer_blocks.0/aten::add/Add_1" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -69671,22 +15487,22 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="3999,hidden_states.287">
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 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
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-			<data element_type="i32" shape="1" offset="8842086" size="4" />
+		<layer id="943" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842024" size="4" />
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 				<port id="0" precision="I32">
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+		<layer id="944" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/MVN" type="MVN" version="opset6">
 			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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@@ -69706,8 +15522,8 @@
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-			<data element_type="f16" shape="1, 1, 1280" offset="1466448028" size="2560" />
+		<layer id="945" name="Constant_79899_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="174874372" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -69716,7 +15532,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4528" name="Constant_502813" type="Convert" version="opset1">
+		<layer id="946" name="Constant_79899" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69736,7 +15552,7 @@
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-		<layer id="4529" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Multiply" type="Multiply" version="opset1">
+		<layer id="947" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -69758,8 +15574,8 @@
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-		<layer id="4530" name="Constant_502814_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1280" offset="1466450588" size="2560" />
+		<layer id="948" name="Constant_79900_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="174876932" size="2560" />
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 				<port id="0" precision="FP16">
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@@ -69768,7 +15584,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4531" name="Constant_502814" type="Convert" version="opset1">
+		<layer id="949" name="Constant_79900" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -69788,7 +15604,7 @@
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-		<layer id="4532" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
+		<layer id="950" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.norm3/aten::layer_norm/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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@@ -69803,23 +15619,23 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4003">
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 					<dim>-1</dim>
 					<dim>1280</dim>
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-			<data element_type="f16" shape="10240, 1280" offset="1466453148" size="26214400" />
+		<layer id="951" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="174879492" size="26214400" />
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-				<port id="0" precision="FP16" names="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight">
+				<port id="0" precision="FP16" names="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight">
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 					<dim>1280</dim>
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 		</layer>
-		<layer id="4534" name="self.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
+		<layer id="952" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -69837,7 +15653,7 @@
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 		</layer>
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+		<layer id="953" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="0" precision="FP32">
@@ -69858,8 +15674,8 @@
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 			</output>
 		</layer>
-		<layer id="4536" name="Constant_502815_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 10240" offset="1492667548" size="20480" />
+		<layer id="954" name="Constant_79901_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 10240" offset="201093892" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -69868,7 +15684,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4537" name="Constant_502815" type="Convert" version="opset1">
+		<layer id="955" name="Constant_79901" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -69888,7 +15704,7 @@
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@@ -69903,14 +15719,20 @@
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 			</input>
 			<output>
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+		<layer id="957" name="1027" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9869300" size="8" />
+			<output>
+				<port id="0" precision="I64" names="1027" />
+			</output>
+		</layer>
+		<layer id="958" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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 			<input>
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@@ -69925,15 +15747,15 @@
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-		<layer id="4540" name="Constant_140954" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="1868826" size="4" />
+		<layer id="959" name="Constant_45883" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702604" size="4" />
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 			<data batch_dims="0" />
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@@ -69948,7 +15770,13 @@
 				<port id="3" precision="I32" />
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+		<layer id="961" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="12702608" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
+		</layer>
+		<layer id="962" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
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@@ -69958,7 +15786,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -69968,7 +15796,7 @@
 				<port id="2" precision="I32" />
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 		</layer>
-		<layer id="4544" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -69982,7 +15810,7 @@
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 		</layer>
-		<layer id="4545" name="__module.up_blocks.1.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
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 			<data destination_type="i32" />
 			<input>
 				<port id="0" precision="BOOL">
@@ -69995,7 +15823,7 @@
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 			<data auto_broadcast="numpy" />
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@@ -70009,19 +15837,16 @@
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-		<layer id="4547" name="Constant_140963" type="Const" version="opset1">
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="967" name="Constant_45884" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842024" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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-			<data mode="numpy" />
+		<layer id="968" name="__module.down_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">
 					<dim>1</dim>
@@ -70032,108 +15857,570 @@
 			</input>
 			<output>
 				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="969" name="__module.down_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>
+					<dim>10240</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I32">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="1237,hidden_states.177">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>5120</dim>
+				</port>
+				<port id="4" precision="FP32" names="1238">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="970" name="__module.down_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>
+					<dim>5120</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="1239">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="971" name="__module.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>5120</dim>
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+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>5120</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="1240,input.83">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="972" name="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="201114372" size="13107200" />
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+				<port id="0" precision="FP16" names="self.down_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="973" name="self.down_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>
+				</port>
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+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="974" name="__module.down_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>
+					<dim>5120</dim>
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+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+					<dim>5120</dim>
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+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
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+		<layer id="975" name="Constant_79902_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="214221572" size="2560" />
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+				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1280</dim>
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-			<data element_type="i32" shape="1" offset="8842086" size="4" />
+		<layer id="976" name="Constant_79902" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
+					<dim>1280</dim>
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 			<output>
-				<port id="0" precision="I32">
+				<port id="1" precision="FP32">
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 					<dim>1</dim>
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-			<data axis="0" />
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-				<port id="0" precision="I32">
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@@ -70680,65 +16894,138 @@
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 		</layer>
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-			<data element_type="f16" shape="640, 1920, 1, 1" offset="1538570908" size="2457600" />
+		<layer id="1029" name="self.down_blocks.2.attentions.1.norm.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280" offset="279780620" size="2560" />
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-					<dim>640</dim>
-					<dim>1920</dim>
+				<port id="0" precision="FP16" names="self.down_blocks.2.attentions.1.norm.weight">
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1030" name="self.down_blocks.2.attentions.1.norm.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1280</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1031" name="self.down_blocks.2.attentions.1.norm.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280" offset="279783180" size="2560" />
+			<output>
+				<port id="0" precision="FP16" names="self.down_blocks.2.attentions.1.norm.bias">
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1032" name="self.down_blocks.2.attentions.1.norm.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1033" name="__module.down_blocks.2.attentions.1.norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
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+					<dim>-1</dim>
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+				<port id="2" precision="FP32">
+					<dim>1280</dim>
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+					<dim>-1</dim>
+					<dim>1280</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="1034" name="self.down_blocks.2.attentions.1.proj_in.weight_compressed" type="Const" version="opset1">
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+					<dim>1280</dim>
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 		</layer>
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+		<layer id="1035" name="self.down_blocks.2.attentions.1.proj_in.weight" type="Convert" version="opset1">
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-					<dim>1920</dim>
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 		</layer>
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@@ -70746,24 +17033,24 @@
 			<output>
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+		<layer id="1037" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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 		</layer>
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 			<data destination_type="f32" />
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@@ -70771,7 +17058,7 @@
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+					<dim>1280</dim>
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@@ -70779,1481 +17066,1448 @@
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 					<dim>1</dim>
-					<dim>640</dim>
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 		</layer>
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+		<layer id="1039" name="__module.down_blocks.2.attentions.1.proj_in/aten::_convolution/Add" type="Add" version="opset1">
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 				<port id="1" precision="FP32">
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 			<output>
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+				<port id="2" precision="FP32" names="1321,hidden_states.191">
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 		</layer>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="1040" name="Constant_23503" type="Const" version="opset1">
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 			<output>
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+				<port id="0" precision="I64" names="1323">
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 		</layer>
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-			<data special_zero="true" />
+		<layer id="1041" name="__module.down_blocks.2.attentions.1/aten::permute/Transpose" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
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 			<output>
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="1042" name="Constant_82864" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="151265972" size="24" />
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+				<port id="0" precision="I64">
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@@ -75128,1016 +21564,1179 @@
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@@ -76146,76 +22745,76 @@
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@@ -76248,50 +22847,50 @@
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@@ -76300,98 +22899,98 @@
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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+					<dim>1280</dim>
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 		</layer>
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-			<data element_type="f16" shape="5120, 640" offset="1579888028" size="6553600" />
+		<layer id="1391" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="10240, 1280" offset="592525580" size="26214400" />
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-					<dim>5120</dim>
-					<dim>640</dim>
+				<port id="0" precision="FP16" names="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight">
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+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4961" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
+		<layer id="1392" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
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 			<input>
 				<port id="0" precision="FP16">
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-					<dim>640</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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-					<dim>640</dim>
+					<dim>10240</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
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+		<layer id="1393" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/MatMul" type="MatMul" version="opset1">
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 				<port id="1" precision="FP32">
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-					<dim>640</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-			<data element_type="f16" shape="1, 1, 5120" offset="1586441628" size="10240" />
+		<layer id="1394" name="Constant_79925_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 10240" offset="618739980" size="20480" />
 			<output>
 				<port id="0" precision="FP16">
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+					<dim>10240</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4964" name="Constant_502836" type="Convert" version="opset1">
+		<layer id="1395" name="Constant_79925" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -76400,52 +22999,52 @@
 				<port id="0" precision="FP16">
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 					<dim>1</dim>
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 			<output>
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 					<dim>1</dim>
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 		</layer>
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+		<layer id="1396" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj/aten::linear/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
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 				<port id="1" precision="FP32">
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 					<dim>1</dim>
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+					<dim>10240</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="1764,hidden_states.257">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>5120</dim>
+					<dim>10240</dim>
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 		</layer>
-		<layer id="4966" name="4054" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="1868830" size="8" />
+		<layer id="1397" name="1567" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9869300" size="8" />
 			<output>
-				<port id="0" precision="I64" names="4054" />
+				<port id="0" precision="I64" names="1567" />
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 		</layer>
-		<layer id="4967" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1398" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
 			<data output_type="i32" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>5120</dim>
+					<dim>10240</dim>
 				</port>
 			</input>
 			<output>
@@ -76454,15 +23053,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4968" name="Constant_140968" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="1868826" size="4" />
+		<layer id="1399" name="Constant_46027" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="12702604" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
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 			</output>
 		</layer>
-		<layer id="4969" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
+		<layer id="1400" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Gather" type="Gather" version="opset8">
 			<data batch_dims="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -76477,13 +23076,13 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4970" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
-			<data element_type="i32" shape="" offset="23694" size="4" />
+		<layer id="1401" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="12702608" size="4" />
 			<output>
 				<port id="0" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4971" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="1402" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
 			<data auto_broadcast="numpy" m_pythondiv="true" />
 			<input>
 				<port id="0" precision="I32" />
@@ -76493,7 +23092,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4972" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="1403" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="I32" />
@@ -76503,7 +23102,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="4973" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="1404" name="__module.mid_block.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" />
@@ -76517,7 +23116,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4974" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="1405" name="__module.mid_block.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">
@@ -76530,7 +23129,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4975" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="1406" name="__module.mid_block.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" />
@@ -76544,42 +23143,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4976" name="Constant_140977" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="12702660" size="4" />
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-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I32">
-					<dim>1</dim>
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-			</output>
-		</layer>
-		<layer id="4977" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
-			<data mode="numpy" />
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-				<port id="0" precision="I32">
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-				<port id="1" precision="I32">
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-			<output>
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-				</port>
-			</output>
-		</layer>
-		<layer id="4978" name="Constant_140969" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="8842086" size="4" />
+		<layer id="1407" name="Constant_46028" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842024" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4979" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="1408" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
 			<data axis="0" />
 			<input>
 				<port id="0" precision="I32">
@@ -76595,12 +23167,12 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4980" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="1409" name="__module.mid_block.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">
@@ -76608,116 +23180,116 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="4407,hidden_states.313">
+				<port id="3" precision="FP32" names="1766,hidden_states.259">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+				<port id="4" precision="FP32" names="1767">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>5120</dim>
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 			</output>
 		</layer>
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+		<layer id="1410" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::gelu/Gelu" type="Gelu" version="opset7">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>5120</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="4409">
+				<port id="1" precision="FP32" names="1768">
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 					<dim>-1</dim>
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+					<dim>5120</dim>
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 			</output>
 		</layer>
-		<layer id="4982" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="1411" name="__module.mid_block.attentions.0.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" 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>5120</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="4410,input.239">
+				<port id="2" precision="FP32" names="1769,input.135">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>2560</dim>
+					<dim>5120</dim>
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 		</layer>
-		<layer id="4983" name="self.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="1586451868" size="3276800" />
+		<layer id="1412" name="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 5120" offset="618760460" size="13107200" />
 			<output>
-				<port id="0" precision="FP16" names="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight">
-					<dim>640</dim>
-					<dim>2560</dim>
+				<port id="0" precision="FP16" names="self.mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight">
+					<dim>1280</dim>
+					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4984" name="self.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
+		<layer id="1413" name="self.mid_block.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>640</dim>
-					<dim>2560</dim>
+					<dim>1280</dim>
+					<dim>5120</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>2560</dim>
+					<dim>1280</dim>
+					<dim>5120</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4985" name="__module.up_blocks.2.attentions.0.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1414" name="__module.mid_block.attentions.0.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">
 					<dim>-1</dim>
 					<dim>-1</dim>
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+					<dim>5120</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>640</dim>
-					<dim>2560</dim>
+					<dim>1280</dim>
+					<dim>5120</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="4986" name="Constant_502837_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 640" offset="1589728668" size="1280" />
+		<layer id="1415" name="Constant_79926_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="631867660" size="2560" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4987" name="Constant_502837" type="Convert" version="opset1">
+		<layer id="1416" name="Constant_79926" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -76726,342 +23298,184 @@
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
 				</port>
 			</output>
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@@ -77282,8 +23541,8 @@
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@@ -77293,7 +23552,7 @@
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@@ -77315,7 +23574,7 @@
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@@ -77332,7 +23591,7 @@
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@@ -77340,41 +23599,81 @@
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>1280</dim>
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 			<output>
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+		<layer id="1435" name="self.mid_block.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280" offset="635149580" size="2560" />
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+					<dim>1280</dim>
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+		<layer id="1436" name="self.mid_block.resnets.1.norm1.weight" 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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+				<port id="1" precision="FP32">
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+			<data element_type="f16" shape="1280" offset="635152140" size="2560" />
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 		</layer>
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-			<data auto_broadcast="numpy" />
+		<layer id="1439" name="__module.mid_block.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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 				<port id="0" precision="FP32">
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@@ -77383,14 +23682,14 @@
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 					<dim>1280</dim>
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@@ -77398,7 +23697,7 @@
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 		</layer>
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@@ -77408,7 +23707,7 @@
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 			<output>
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 		</layer>
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 			</output>
 		</layer>
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 			<rt_info>
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 			<input>
 				<port id="0" precision="FP16">
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@@ -77442,14 +23741,14 @@
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 			<output>
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 		</layer>
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 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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@@ -77459,7 +23758,7 @@
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@@ -77468,24 +23767,24 @@
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 					<dim>-1</dim>
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 				<port id="0" precision="FP16">
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 		</layer>
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@@ -77493,7 +23792,7 @@
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 				<port id="0" precision="FP16">
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@@ -77501,65 +23800,65 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
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 		</layer>
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 				<port id="1" precision="FP32">
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 			<output>
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 		</layer>
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-			<data element_type="f16" shape="640, 1280" offset="1606942108" size="1638400" />
+		<layer id="1447" name="self.mid_block.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="664648460" size="3276800" />
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-				<port id="0" precision="FP16" names="self.up_blocks.2.resnets.1.time_emb_proj.weight">
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 		</layer>
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 			<rt_info>
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 			<input>
 				<port id="0" precision="FP16">
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 			<output>
 				<port id="1" precision="FP32">
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 		</layer>
-		<layer id="5033" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
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 			<data transpose_a="false" transpose_b="true" />
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@@ -77567,27 +23866,27 @@
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 				<port id="1" precision="FP32">
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 					<dim>-1</dim>
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+		<layer id="1450" name="Constant_79927_compressed" type="Const" version="opset1">
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 					<dim>1</dim>
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 		</layer>
-		<layer id="5035" name="Constant_502840" type="Convert" version="opset1">
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 			<data destination_type="f32" />
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@@ -77595,261 +23894,255 @@
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 		</layer>
-		<layer id="5036" name="__module.up_blocks.2.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
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@@ -78345,1138 +24625,998 @@
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@@ -80647,1816 +27045,1860 @@
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@@ -82619,98 +29061,98 @@
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+		<layer id="1758" name="Constant_79940" type="Convert" version="opset1">
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 				<attribute name="decompression" version="0" />
@@ -82719,46 +29161,52 @@
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+				<port id="2" precision="FP32" names="2226,hidden_states.311">
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-		<layer id="5380" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
+		<layer id="1760" name="2012" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9869300" size="8" />
+			<output>
+				<port id="0" precision="I64" names="2012" />
+			</output>
+		</layer>
+		<layer id="1761" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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@@ -82767,15 +29215,15 @@
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+		<layer id="1762" name="Constant_46099" type="Const" version="opset1">
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 				<port id="0" precision="I32">
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 			<data batch_dims="0" />
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 				<port id="0" precision="I32">
@@ -82790,7 +29238,13 @@
 				<port id="3" precision="I32" />
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 		</layer>
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+		<layer id="1764" name="__module.up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="12702608" size="4" />
+			<output>
+				<port id="0" precision="I32" />
+			</output>
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+		<layer id="1765" name="__module.up_blocks.1.attentions.0.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" />
@@ -82800,7 +29254,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5384" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
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@@ -82810,7 +29264,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="5385" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
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 			<data auto_broadcast="numpy" />
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@@ -82824,7 +29278,7 @@
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 			</output>
 		</layer>
-		<layer id="5386" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="1768" name="__module.up_blocks.1.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">
@@ -82837,7 +29291,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5387" name="__module.up_blocks.2.attentions.1.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
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 				<port id="0" precision="I32" />
@@ -82851,42 +29305,15 @@
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 		</layer>
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-		<layer id="5390" name="Constant_140983" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="8842086" size="4" />
+		<layer id="1770" name="Constant_46100" type="Const" version="opset1">
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 				<port id="0" precision="I32">
 					<dim>1</dim>
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 		</layer>
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 			<data axis="0" />
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@@ -82902,12 +29329,12 @@
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 			</output>
 		</layer>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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@@ -82915,116 +29342,116 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 		</layer>
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 					<dim>-1</dim>
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-					<dim>2560</dim>
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 				<port id="0" precision="FP16">
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-					<dim>2560</dim>
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 			<output>
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-					<dim>2560</dim>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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 				<port id="1" precision="FP32">
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-					<dim>2560</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-			<data element_type="f16" shape="1, 1, 640" offset="1633513628" size="1280" />
+		<layer id="1778" name="Constant_79941_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1280" offset="1186478884" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
-		<layer id="5399" name="Constant_502858" type="Convert" version="opset1">
+		<layer id="1779" name="Constant_79941" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -83033,394 +29460,236 @@
 				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
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 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>-1</dim>
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 					<dim>1</dim>
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 			<output>
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 					<dim>-1</dim>
 					<dim>-1</dim>
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-		<layer id="5401" name="__module.up_blocks.2.attentions.1.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
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 					<dim>-1</dim>
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 					<dim>-1</dim>
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 			<output>
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 					<dim>-1</dim>
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-			<output>
-				<port id="0" precision="I64">
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+		<layer id="1783" name="Constant_76092" type="Const" version="opset1">
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+		<layer id="1784" name="Constant_76093" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="1868800" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
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+					<dim>2560</dim>
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-			<data special_zero="true" />
+		<layer id="1801" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+					<dim>2560</dim>
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-			<data element_type="f16" shape="1, 960, 1, 1" offset="1635565468" size="1920" />
+		<layer id="1802" name="__module.up_blocks.1.resnets.1.conv_shortcut/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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-		<layer id="5431" name="Constant_502859" type="Convert" version="opset1">
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@@ -83608,7 +29888,7 @@
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@@ -83616,158 +29896,173 @@
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 		</layer>
-		<layer id="5432" name="__module.up_blocks.2.resnets.2.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
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 				<port id="1" precision="FP32">
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 			</input>
 			<output>
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-			<data element_type="f16" shape="1, 960, 1, 1" offset="1635567388" size="1920" />
+		<layer id="1805" name="self.up_blocks.1.resnets.1.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1196316964" size="5120" />
 			<output>
+				<port id="0" precision="FP16" names="self.up_blocks.1.resnets.1.norm1.weight">
+					<dim>2560</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1806" name="self.up_blocks.1.resnets.1.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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+					<dim>2560</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>2560</dim>
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+		</layer>
+		<layer id="1807" name="self.up_blocks.1.resnets.1.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="2560" offset="1196322084" size="5120" />
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+				<port id="0" precision="FP16" names="self.up_blocks.1.resnets.1.norm1.bias">
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 				</port>
 			</output>
 		</layer>
-		<layer id="5434" name="Constant_502860" type="Convert" version="opset1">
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 			<rt_info>
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-			<data auto_broadcast="numpy" />
+		<layer id="1809" name="__module.up_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999997473787516e-06" />
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+				<port id="2" precision="FP32">
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 			<output>
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+				<port id="3" precision="FP32" names="2261,input.195">
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 		</layer>
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-					<dim>960</dim>
+				<port id="0" precision="FP16" names="self.up_blocks.1.resnets.1.conv1.weight">
+					<dim>1280</dim>
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 					<dim>3</dim>
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 			</output>
 		</layer>
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 			</input>
 			<output>
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-					<dim>960</dim>
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+					<dim>2560</dim>
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 					<dim>3</dim>
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 		</layer>
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+		<layer id="1813" name="__module.up_blocks.1.resnets.1.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>
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@@ -83775,24 +30070,24 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1646628508" size="1280" />
+		<layer id="1814" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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 		</layer>
-		<layer id="5441" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="1815" name="__module.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
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@@ -83800,7 +30095,7 @@
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 				<port id="0" precision="FP16">
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+					<dim>1280</dim>
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@@ -83808,65 +30103,65 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>640</dim>
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 		</layer>
-		<layer id="5442" name="__module.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="1816" name="__module.up_blocks.1.resnets.1.conv1/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>
-				<port id="2" precision="FP32" names="4794,hidden_states.347">
+				<port id="2" precision="FP32" names="2269,hidden_states.321">
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 		</layer>
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-			<data element_type="f16" shape="640, 1280" offset="1646629788" size="1638400" />
+		<layer id="1817" name="self.up_blocks.1.resnets.1.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1280, 1280" offset="1255312164" size="3276800" />
 			<output>
-				<port id="0" precision="FP16" names="self.up_blocks.2.resnets.2.time_emb_proj.weight">
-					<dim>640</dim>
+				<port id="0" precision="FP16" names="self.up_blocks.1.resnets.1.time_emb_proj.weight">
+					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="5444" name="self.up_blocks.2.resnets.2.time_emb_proj.weight" type="Convert" version="opset1">
+		<layer id="1818" name="self.up_blocks.1.resnets.1.time_emb_proj.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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 			<input>
 				<port id="0" precision="FP16">
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 					<dim>1280</dim>
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 			</input>
 			<output>
 				<port id="1" precision="FP32">
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+					<dim>1280</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="5445" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="1819" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
 			<data transpose_a="false" transpose_b="true" />
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 				<port id="0" precision="FP32">
@@ -83874,27 +30169,27 @@
 					<dim>1280</dim>
 				</port>
 				<port id="1" precision="FP32">
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+					<dim>1280</dim>
 					<dim>1280</dim>
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 			</input>
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
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 		</layer>
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-			<data element_type="f16" shape="1, 640" offset="1648268188" size="1280" />
+		<layer id="1820" name="Constant_79942_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1280" offset="1258588964" size="2560" />
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 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>640</dim>
+					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="5447" name="Constant_502861" type="Convert" version="opset1">
+		<layer id="1821" name="Constant_79942" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -83902,261 +30197,255 @@
 			<input>
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 			<output>
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 		</layer>
-		<layer id="5448" name="__module.up_blocks.2.resnets.2.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+		<layer id="1822" name="__module.up_blocks.1.resnets.1.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			<output>
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 		</layer>
-		<layer id="5449" name="__module.up_blocks.2.resnets.2/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
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 				<port id="0" precision="FP32">
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 			<output>
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+		<layer id="1824" name="__module.up_blocks.1.resnets.1/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
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 			<output>
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@@ -86180,1572 +32707,1804 @@
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@@ -88082,688 +34943,771 @@
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+		<layer id="2195" name="self.up_blocks.2.resnets.0.norm1.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<port id="1" precision="FP32">
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-			<data special_zero="false" />
+		<layer id="2196" name="__module.up_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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+					<dim>1920</dim>
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 			</input>
 			<output>
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-		<layer id="5821" name="__module.up_blocks.2.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="2197" name="__module.conv_act/aten::silu/Swish_49" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 					<dim>-1</dim>
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-			<data element_type="f16" shape="640, 640, 1, 1" offset="1673202588" size="819200" />
+		<layer id="2198" name="self.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
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 					<dim>640</dim>
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+					<dim>1920</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
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@@ -89536,34 +36508,34 @@
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 					<dim>640</dim>
-					<dim>640</dim>
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+					<dim>1920</dim>
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+					<dim>3</dim>
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 		</layer>
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+		<layer id="2200" name="__module.up_blocks.2.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>
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 				<port id="1" precision="FP32">
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-					<dim>1</dim>
+					<dim>1920</dim>
+					<dim>3</dim>
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 			</input>
 			<output>
@@ -89575,8 +36547,8 @@
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1674021788" size="1280" />
+		<layer id="2201" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640, 1, 1" offset="1563156004" size="1280" />
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 				<port id="0" precision="FP16">
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@@ -89586,7 +36558,7 @@
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 			</output>
 		</layer>
-		<layer id="5826" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="2202" name="__module.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
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@@ -89608,7 +36580,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5827" name="__module.up_blocks.2.attentions.2.proj_out/aten::_convolution/Add" type="Add" version="opset1">
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 			<data auto_broadcast="numpy" />
 			<input>
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@@ -89625,7 +36597,7 @@
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 			</input>
 			<output>
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 					<dim>-1</dim>
 					<dim>640</dim>
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@@ -89633,110 +36605,146 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5828" name="__module.up_blocks.2.attentions.2/aten::add/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="2204" name="self.up_blocks.2.resnets.0.time_emb_proj.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640, 1280" offset="1563157284" size="1638400" />
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+				<port id="0" precision="FP16" names="self.up_blocks.2.resnets.0.time_emb_proj.weight">
+					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2205" name="self.up_blocks.2.resnets.0.time_emb_proj.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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+					<dim>1280</dim>
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+			</input>
+			<output>
 				<port id="1" precision="FP32">
-					<dim>-1</dim>
 					<dim>640</dim>
+					<dim>1280</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2206" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>-1</dim>
+					<dim>1280</dim>
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+				<port id="1" precision="FP32">
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 			<output>
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 					<dim>-1</dim>
 					<dim>640</dim>
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-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="2207" name="Constant_79964_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 640" offset="1564795684" size="1280" />
 			<output>
-				<port id="0" precision="FP32">
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>640</dim>
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 		</layer>
-		<layer id="5830" name="Constant_94580" type="Const" version="opset1">
-			<data element_type="i32" shape="2" offset="992415380" size="8" />
+		<layer id="2208" name="Constant_79964" 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>640</dim>
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 			<output>
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-					<dim>2</dim>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
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 				</port>
 			</output>
 		</layer>
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+		<layer id="2209" name="__module.up_blocks.2.resnets.0.time_emb_proj/aten::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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 				<port id="0" precision="FP32">
 					<dim>-1</dim>
 					<dim>640</dim>
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-				<port id="2" precision="I32">
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 			<output>
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 					<dim>640</dim>
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-			<data element_type="f16" shape="640, 640, 3, 3" offset="1674023068" size="7372800" />
+		<layer id="2210" name="2692" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790112" size="8" />
 			<output>
-				<port id="0" precision="FP16" names="self.up_blocks.2.upsamplers.0.conv.weight">
+				<port id="0" precision="I64" names="2692" />
+			</output>
+		</layer>
+		<layer id="2211" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
 					<dim>640</dim>
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+				<port id="1" precision="I64" />
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+			<output>
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+					<dim>-1</dim>
 					<dim>640</dim>
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-					<dim>3</dim>
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 		</layer>
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-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
+		<layer id="2212" name="2693" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="6790120" size="8" />
+			<output>
+				<port id="0" precision="I64" names="2693" />
+			</output>
+		</layer>
+		<layer id="2213" name="__module.up_blocks.2.resnets.0/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
 			<input>
-				<port id="0" precision="FP16">
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+				<port id="0" precision="FP32">
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 					<dim>640</dim>
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-					<dim>3</dim>
+					<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="2738,temb.33">
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 					<dim>640</dim>
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-					<dim>3</dim>
+					<dim>1</dim>
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 		</layer>
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-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="2214" name="__module.up_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -89745,14 +36753,14 @@
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
+					<dim>-1</dim>
 					<dim>640</dim>
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-					<dim>3</dim>
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 			</input>
 			<output>
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 					<dim>640</dim>
 					<dim>-1</dim>
@@ -89760,41 +36768,56 @@
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 		</layer>
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-			<data element_type="f16" shape="1, 640, 1, 1" offset="1681395868" size="1280" />
+		<layer id="2215" name="self.up_blocks.2.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640" offset="1564796964" size="1280" />
 			<output>
+				<port id="0" precision="FP16" names="self.up_blocks.2.resnets.0.norm2.weight">
+					<dim>640</dim>
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+		</layer>
+		<layer id="2216" name="self.up_blocks.2.resnets.0.norm2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+					<dim>640</dim>
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+			<data element_type="f16" shape="640" offset="1564798244" size="1280" />
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 		</layer>
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@@ -89803,14 +36826,14 @@
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@@ -89818,8 +36841,7 @@
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@@ -89827,92 +36849,86 @@
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-					<dim>960</dim>
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+				<port id="0" precision="FP16" names="self.up_blocks.2.resnets.0.conv2.weight">
+					<dim>640</dim>
+					<dim>640</dim>
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 		</layer>
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+					<dim>640</dim>
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+					<dim>640</dim>
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 		</layer>
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+		<layer id="2223" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+					<dim>640</dim>
+					<dim>3</dim>
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-			<data element_type="f16" shape="1, 320, 1, 1" offset="1682011548" size="640" />
+		<layer id="2224" name="__module.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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 		</layer>
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 			<data destination_type="f32" />
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@@ -89920,7 +36936,7 @@
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@@ -89928,179 +36944,180 @@
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 		</layer>
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 			<output>
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-			<data special_zero="true" />
+		<layer id="2227" name="__module.up_blocks.2.resnets.0/aten::add/Add_1" type="Add" version="opset1">
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 			<output>
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+				<port id="2" precision="FP32" names="2759,2760,hidden_states.399">
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-			<data element_type="i32" shape="1" offset="23694" size="4" />
+		<layer id="2228" name="self.up_blocks.2.attentions.0.norm.weight_compressed" type="Const" version="opset1">
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+		<layer id="2229" name="self.up_blocks.2.attentions.0.norm.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+		<layer id="2230" name="self.up_blocks.2.attentions.0.norm.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="640" offset="1572174884" size="1280" />
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+				<port id="0" precision="FP16" names="self.up_blocks.2.attentions.0.norm.bias">
+					<dim>640</dim>
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+			</output>
+		</layer>
+		<layer id="2231" name="self.up_blocks.2.attentions.0.norm.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+		<layer id="2235" name="__module.up_blocks.2.attentions.0.proj_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
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@@ -90108,24 +37125,24 @@
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-		<layer id="5855" name="Constant_502881" type="Convert" version="opset1">
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@@ -90133,7 +37150,7 @@
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@@ -90141,227 +37158,189 @@
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@@ -94277,1016 +41162,1047 @@
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+		</layer>
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+		<layer id="2595" name="__module.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
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+		<layer id="2596" name="__module.conv_act/aten::silu/Swish_57" type="Swish" version="opset4">
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@@ -96218,41 +43127,41 @@
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 		</layer>
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 		</layer>
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 		</layer>
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+		<layer id="2599" name="__module.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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@@ -96261,33 +43170,33 @@
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 					<dim>640</dim>
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+		<layer id="2600" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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 				<port id="0" precision="FP16">
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 		</layer>
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@@ -96295,7 +43204,7 @@
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@@ -96303,50 +43212,39 @@
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 		</layer>
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+		<layer id="2602" name="__module.up_blocks.2.resnets.2.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
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 			<output>
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+				<port id="2" precision="FP32" names="3169,hidden_states.469">
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 		</layer>
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+			<data auto_broadcast="numpy" />
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@@ -96354,76 +43252,88 @@
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 					<dim>-1</dim>
 				</port>
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 			<output>
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 			<output>
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 		</layer>
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+					<dim>640</dim>
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@@ -96431,25 +43341,25 @@
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-		<layer id="6272" name="Constant_502901" type="Convert" version="opset1">
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@@ -96457,15 +43367,15 @@
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@@ -96474,7 +43384,7 @@
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@@ -96489,8 +43399,8 @@
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@@ -96500,7 +43410,7 @@
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@@ -96522,7 +43432,7 @@
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@@ -96547,7 +43457,15 @@
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 		</layer>
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+		<layer id="2617" name="Constant_82920" type="Const" version="opset1">
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+		<layer id="2618" name="__module.up_blocks.2.attentions.2/aten::reshape/Reshape" type="Reshape" version="opset1">
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+		<layer id="2624" name="Constant_79988_compressed" type="Const" version="opset1">
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-		<layer id="6288" name="Constant_502903" type="Convert" version="opset1">
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@@ -96744,1888 +43616,1721 @@
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@@ -98737,34 +45421,8 @@
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@@ -98772,872 +45430,1070 @@
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 		</layer>
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+			<data element_type="f16" shape="320" offset="1700224164" size="640" />
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+		<layer id="2985" name="self.up_blocks.3.resnets.1.norm2.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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 				<port id="0" precision="FP32">
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@@ -102485,14 +49589,14 @@
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 					<dim>320</dim>
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 			<output>
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 					<dim>320</dim>
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@@ -102500,8 +49604,7 @@
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 		</layer>
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@@ -102509,34 +49612,28 @@
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 		</layer>
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@@ -102544,34 +49641,34 @@
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 		</layer>
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+		<layer id="2990" name="__module.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 			<input>
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@@ -102583,8 +49680,8 @@
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@@ -104589,350 +51478,365 @@
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@@ -105044,34 +51927,8 @@
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@@ -105079,170 +51936,112 @@
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+		<layer id="3270" name="Constant_82952" type="Const" version="opset1">
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@@ -107863,7 +54374,7 @@
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-		<layer id="7028" name="Constant_502938" type="Convert" version="opset1">
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+		<layer id="3281" name="Constant_80026_compressed" type="Const" version="opset1">
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-		<layer id="7034" name="Constant_502939" type="Convert" version="opset1">
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@@ -108056,8 +54567,8 @@
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-		<layer id="7037" name="Constant_502940" type="Convert" version="opset1">
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@@ -108086,7 +54597,7 @@
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@@ -108101,15 +54612,15 @@
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@@ -108117,7 +54628,7 @@
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@@ -108135,7 +54646,7 @@
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@@ -108156,8 +54667,8 @@
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+		<layer id="3290" name="Constant_80028_compressed" type="Const" version="opset1">
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@@ -108166,7 +54677,7 @@
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-		<layer id="7043" name="Constant_502941" type="Convert" version="opset1">
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@@ -108186,7 +54697,7 @@
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@@ -108201,14 +54712,14 @@
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-				<port id="2" precision="FP32" names="6180">
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@@ -108223,15 +54734,15 @@
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+		<layer id="3294" name="Constant_46675" type="Const" version="opset1">
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+		<layer id="3295" name="__module.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">
@@ -108246,7 +54757,7 @@
 				<port id="3" precision="I32" />
 			</output>
 		</layer>
-		<layer id="7048" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Divide" type="Divide" version="opset1">
+		<layer id="3296" name="__module.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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@@ -108256,7 +54767,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="7049" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
+		<layer id="3297" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Mod" type="Mod" version="opset1">
 			<data auto_broadcast="numpy" />
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 				<port id="0" precision="I32" />
@@ -108266,7 +54777,7 @@
 				<port id="2" precision="I32" />
 			</output>
 		</layer>
-		<layer id="7050" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Greater" type="Greater" version="opset1">
+		<layer id="3298" name="__module.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" />
@@ -108280,7 +54791,7 @@
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 			</output>
 		</layer>
-		<layer id="7051" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Convert_0" type="Convert" version="opset1">
+		<layer id="3299" name="__module.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">
@@ -108293,7 +54804,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7052" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Add" type="Add" version="opset1">
+		<layer id="3300" name="__module.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" />
@@ -108307,42 +54818,15 @@
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 			</output>
 		</layer>
-		<layer id="7053" name="Constant_141047" type="Const" version="opset1">
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-		<layer id="7054" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Broadcast" type="Broadcast" version="opset3">
-			<data mode="numpy" />
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-		<layer id="7055" name="Constant_141039" type="Const" version="opset1">
-			<data element_type="i32" shape="1" offset="8842086" size="4" />
+		<layer id="3301" name="Constant_46676" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="8842024" size="4" />
 			<output>
 				<port id="0" precision="I32">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7056" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/Concat" type="Concat" version="opset1">
+		<layer id="3302" name="__module.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">
@@ -108358,7 +54842,7 @@
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 			</output>
 		</layer>
-		<layer id="7057" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
+		<layer id="3303" name="__module.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>
@@ -108371,19 +54855,19 @@
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 			</input>
 			<output>
-				<port id="3" precision="FP32" names="6182,hidden_states.445">
+				<port id="3" precision="FP32" names="3984,hidden_states.605">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
 				</port>
-				<port id="4" precision="FP32" names="6183">
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 					<dim>-1</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
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+		<layer id="3304" name="__module.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">
@@ -108393,14 +54877,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="6184">
+				<port id="1" precision="FP32" names="3986">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
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 			</output>
 		</layer>
-		<layer id="7059" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.0/aten::mul/Multiply" type="Multiply" version="opset1">
+		<layer id="3305" name="__module.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">
@@ -108415,15 +54899,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="6185,input.319">
+				<port id="2" precision="FP32" names="3987,input.319">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>1280</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7060" name="self.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="1717992988" size="819200" />
+		<layer id="3306" name="self.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="1717993156" size="819200" />
 			<output>
 				<port id="0" precision="FP16" names="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight">
 					<dim>320</dim>
@@ -108431,7 +54915,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7061" name="self.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2.weight" type="Convert" version="opset1">
+		<layer id="3307" name="self.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" />
@@ -108449,7 +54933,7 @@
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 			</output>
 		</layer>
-		<layer id="7062" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/MatMul" type="MatMul" version="opset1">
+		<layer id="3308" name="__module.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">
@@ -108470,8 +54954,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7063" name="Constant_502942_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 320" offset="1718812188" size="640" />
+		<layer id="3309" name="Constant_80029_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 320" offset="1718812356" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -108480,7 +54964,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7064" name="Constant_502942" type="Convert" version="opset1">
+		<layer id="3310" name="Constant_80029" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -108500,7 +54984,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7065" name="__module.up_blocks.3.attentions.2.transformer_blocks.0.ff.net.2/aten::linear/Add" type="Add" version="opset1">
+		<layer id="3311" name="__module.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">
@@ -108515,14 +54999,14 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="6189,ff_output">
+				<port id="2" precision="FP32" names="3991,ff_output">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>320</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7066" name="__module.up_blocks.3.attentions.2.transformer_blocks.0/aten::add/Add_2" type="Add" version="opset1">
+		<layer id="3312" name="__module.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">
@@ -108537,40 +55021,68 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="6190,hidden_states.449">
+				<port id="2" precision="FP32" names="3992,hidden_states.609">
+					<dim>-1</dim>
 					<dim>-1</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3313" name="__module.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="7067" name="Constant_333437" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="1868830" size="8" />
+		<layer id="3314" name="Constant_76172" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="13522452" 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="7068" name="__module.up_blocks.3.attentions.2/prim::ListConstruct/Reshape_0_1" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
+		<layer id="3315" name="Constant_76173" 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="3316" name="Gather_76174" 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="7069" name="Constant_333438" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="1868830" size="8" />
+		<layer id="3317" name="Constant_42968" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="13522476" size="8" />
 			<rt_info>
 				<attribute name="precise" version="0" />
 			</rt_info>
@@ -108580,43 +55092,23 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7070" name="__module.up_blocks.3.attentions.2/prim::ListConstruct/Reshape_1_1" type="Reshape" version="opset1">
-			<data special_zero="false" />
-			<input>
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-				<port id="1" precision="I64">
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-			<output>
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-		</layer>
-		<layer id="7071" name="__module.up_blocks.3.attentions.2/prim::ListConstruct/Concat_1" type="Concat" version="opset1">
+		<layer id="3318" name="__module.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>
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 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64">
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-				<port id="3" precision="I64">
-					<dim>1</dim>
-				</port>
 			</input>
 			<output>
-				<port id="4" precision="I64" names="6191">
+				<port id="2" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7072" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
+		<layer id="3319" name="__module.up_blocks.3.attentions.2/aten::reshape/Reshape_1" type="Reshape" version="opset1">
 			<data special_zero="false" />
 			<input>
 				<port id="0" precision="FP32">
@@ -108629,7 +55121,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="6192">
+				<port id="2" precision="FP32" names="3994">
 					<dim>-1</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
@@ -108637,15 +55129,15 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7073" name="Constant_100108" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="13522504" size="32" />
+		<layer id="3320" name="Constant_42977" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="13522484" size="32" />
 			<output>
-				<port id="0" precision="I64" names="6193">
+				<port id="0" precision="I64" names="3995">
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 				</port>
 			</output>
 		</layer>
-		<layer id="7074" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
+		<layer id="3321" name="__module.up_blocks.3.attentions.2/aten::permute/Transpose_1" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
@@ -108658,7 +55150,7 @@
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 			</input>
 			<output>
-				<port id="2" precision="FP32" names="6194">
+				<port id="2" precision="FP32" names="3996">
 					<dim>-1</dim>
 					<dim>320</dim>
 					<dim>-1</dim>
@@ -108666,8 +55158,8 @@
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 			</output>
 		</layer>
-		<layer id="7075" name="self.up_blocks.3.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="320, 320, 1, 1" offset="1718812828" size="204800" />
+		<layer id="3322" name="self.up_blocks.3.attentions.2.proj_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="320, 320, 1, 1" offset="1718812996" size="204800" />
 			<output>
 				<port id="0" precision="FP16" names="self.up_blocks.3.attentions.2.proj_out.weight">
 					<dim>320</dim>
@@ -108677,7 +55169,7 @@
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 			</output>
 		</layer>
-		<layer id="7076" name="self.up_blocks.3.attentions.2.proj_out.weight" type="Convert" version="opset1">
+		<layer id="3323" name="self.up_blocks.3.attentions.2.proj_out.weight" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -108699,7 +55191,7 @@
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 			</output>
 		</layer>
-		<layer id="7077" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="3324" name="__module.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">
@@ -108724,8 +55216,8 @@
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 			</output>
 		</layer>
-		<layer id="7078" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 320, 1, 1" offset="1719017628" size="640" />
+		<layer id="3325" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 320, 1, 1" offset="1719017796" size="640" />
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -108735,7 +55227,7 @@
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 			</output>
 		</layer>
-		<layer id="7079" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
+		<layer id="3326" name="__module.up_blocks.3.attentions.2.proj_out/aten::_convolution/Reshape" type="Convert" version="opset1">
 			<data destination_type="f32" />
 			<rt_info>
 				<attribute name="decompression" version="0" />
@@ -108757,7 +55249,7 @@
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